Thu Jan 19 03:20:16 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/recon-all -s 111 -all subjid 111 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Actual FREESURFER_HOME /autofs/cluster/freesurfer/build/pub-releases/v6.0.0/freesurfer build-stamp.txt: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c Linux compute-0-98 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux cputime unlimited filesize unlimited datasize unlimited stacksize 10240 kbytes coredumpsize 0 kbytes memoryuse unlimited vmemoryuse 7340032 kbytes descriptors 32768 memorylocked unlimited maxproc 128314 total used free shared buffers cached Mem: 32877136 19530548 13346588 168 69732 4563252 -/+ buffers/cache: 14897564 17979572 Swap: 67108860 45684 67063176 pbsjob 13435939.launchpad.nmr.mgh.harvard.edu ######################################## program versions used $Id: recon-all,v 1.580.2.16 2017/01/18 14:11:24 zkaufman Exp $ $Id: mri_motion_correct.fsl,v 1.15 2016/02/16 17:17:20 zkaufman Exp $ mri_convert.bin -all-info ProgramName: mri_convert.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:16-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 FLIRT version 5.5 $Id: talairach_avi,v 1.13 2015/12/23 04:25:17 greve Exp $ mri_convert.bin --version stable6 ProgramName: tkregister2_cmdl ProgramArguments: --all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:17-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: tkregister2.c,v 1.132.2.1 2016/08/02 21:17:29 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 ProgramName: mri_make_uchar ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:17-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_make_uchar.c,v 1.4 2011/03/02 00:04:14 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize.c,v 1.88.2.3 2016/12/27 16:47:13 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_watershed.cpp,v 1.103 2016/06/17 18:00:49 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_gcut ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_gcut.cpp,v 1.14 2011/03/02 00:04:16 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segment.c,v 1.43.2.1 2016/10/27 22:24:52 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_label2label.bin ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_label2label.c,v 1.48.2.2 2016/12/12 14:15:26 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_em_register.c,v 1.105.2.1 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_normalize.c,v 1.67.2.2 2016/10/27 22:25:09 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:18-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_register.c,v 1.96.2.3 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_label.c,v 1.113.2.2 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_pretess ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_pretess.c,v 1.22 2013/08/30 18:12:25 mreuter Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fill.c,v 1.119 2011/10/25 14:09:58 fischl Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_concatenate_lta.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_concatenate_lta.c,v 1.16 2015/11/21 00:06:20 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize_tp2 ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize_tp2.c,v 1.8 2011/03/02 00:04:23 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_smooth.c,v 1.30 2014/01/21 18:48:21 fischl Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_inflate.c,v 1.45 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature.c,v 1.31 2011/03/02 00:04:30 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:19-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_topo_fixer ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_topo_fixer.cpp,v 1.29 2011/03/02 00:04:34 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_euler_number.c,v 1.10 2013/01/14 22:39:14 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_volmask ProgramArguments: --all-info ProgramVersion: $Name: $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_volmask.cpp,v 1.26.2.2 2016/11/18 20:05:18 zkaufman Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_anatomical_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_anatomical_stats.c,v 1.79 2016/03/14 15:15:34 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:20-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mrisp_paint.c,v 1.12 2016/03/22 14:47:57 fischl Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature_stats.c,v 1.65 2015/06/04 20:50:51 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_calc ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_calc.c,v 1.54.2.1 2016/09/27 18:51:28 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ ProgramName: mri_robust_register.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ ProgramName: mri_robust_template ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_and ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_and.c,v 1.4 2011/03/02 00:04:13 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_or ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_or.c,v 1.5 2013/03/20 15:03:29 lzollei Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fuse_segmentations ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fuse_segmentations.c,v 1.8 2011/03/02 00:04:15 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segstats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_relabel_hypointensities ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/01/19-08:20:21-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_relabel_hypointensities.c,v 1.13 2015/05/15 18:44:10 nicks Exp $ User: zkaufman Machine: compute-0-98 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ####################################### GCADIR /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average GCA RB_all_2016-05-10.vc700.gca GCASkull RB_all_withskull_2016-05-10.vc700.gca AvgCurvTif folding.atlas.acfb40.noaparc.i12.2016-08-02.tif GCSDIR /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average GCS DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ####################################### #-------------------------------------------- #@# MotionCor Thu Jan 19 03:20:22 EST 2017 Found 4 runs /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.mgz Checking for (invalid) multi-frame inputs... Checking for (invalid) multi-frame inputs... Checking for (invalid) multi-frame inputs... Checking for (invalid) multi-frame inputs... /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_robust_template --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.mgz --average 1 --template /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz --satit --inittp 1 --fixtp --noit --iscale --iscaleout /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006-iscale.txt --subsample 200 --lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.lta $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.mgz as movable/source volume. Total: 4 input volumes --average: Using method 1 for template computation. --template: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz as template output volume. --satit: Will estimate SAT iteratively! --inittp: Using TP 1 as target for initialization --fixtp: Will map everything to init TP! --noit: Will output only first template (no iterations)! --iscale: Enableing intensity scaling! --iscaleout: Will perform intensity scaling and output results --subsample: Will subsample if size is larger than 200 on all axes! --lta: Will output LTA transforms Setting iscale ... reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.mgz' to bspline ... MRItoBSpline degree 3 MultiRegistration::initializing Xforms (init 1 , maxres 0 , iterate 5 , epsit 0.01 ) : [init] ========================= TP 2 to TP 1 ============================== Register TP 2 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/004.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: [init] ========================= TP 3 to TP 1 ============================== Register TP 3 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/005.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: [init] ========================= TP 4 to TP 1 ============================== Register TP 4 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/006.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: * WARNING: TP 2 to 1 did not converge !! * WARNING: TP 3 to 1 did not converge !! mapping movs and creating initial template... allow intensity scaling using median Writing final template: /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz Writing final transforms (warps etc.)... Determinant( lta[ 0 ]) : 1 Determinant( lta[ 1 ]) : 1 Determinant( lta[ 2 ]) : 1 Determinant( lta[ 3 ]) : 1 registration took 4 minutes and 47 seconds. Thank you for using RobustTemplate! If you find it useful and use it for a publication, please cite: Within-Subject Template Estimation for Unbiased Longitudinal Image Analysis M. Reuter, N.J. Schmansky, H.D. Rosas, B. Fischl. NeuroImage 2012. http://dx.doi.org/10.1016/j.neuroimage.2012.02.084 http://reuter.mit.edu/papers/reuter-long12.pdf @#@FSTIME 2017:01:19:03:20:23 mri_robust_template N 27 e 286.59 S 10.39 U 273.99 P 99% M 1124984 F 1 R 3729696 W 0 c 520 w 220 I 160 O 7744 L 3.55 3.25 3.12 @#@FSLOADPOST 2017:01:19:03:25:09 mri_robust_template N 27 4.99 4.33 3.61 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_convert /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz --conform mri_convert.bin /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz --conform $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz... @#@FSTIME 2017:01:19:03:25:10 mri_convert N 3 e 1.86 S 0.02 U 0.99 P 54% M 21468 F 0 R 6224 W 0 c 124 w 158 I 0 O 7680 L 4.99 4.33 3.61 @#@FSLOADPOST 2017:01:19:03:25:12 mri_convert N 3 4.99 4.33 3.61 mri_add_xform_to_header -c /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/transforms/talairach.xfm /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz INFO: extension is mgz @#@FSTIME 2017:01:19:03:25:12 mri_add_xform_to_header N 4 e 1.67 S 0.01 U 1.03 P 62% M 21008 F 0 R 5340 W 0 c 131 w 143 I 0 O 7680 L 4.99 4.33 3.61 @#@FSLOADPOST 2017:01:19:03:25:14 mri_add_xform_to_header N 4 4.99 4.34 3.62 #-------------------------------------------- #@# Talairach Thu Jan 19 03:25:14 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_nu_correct.mni --no-rescale --i orig.mgz --o orig_nu.mgz --n 1 --proto-iters 1000 --distance 50 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/mri_nu_correct.mni --no-rescale --i orig.mgz --o orig_nu.mgz --n 1 --proto-iters 1000 --distance 50 nIters 1 $Id: mri_nu_correct.mni,v 1.27 2016/02/26 16:19:49 mreuter Exp $ Linux compute-0-98 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux Thu Jan 19 03:25:14 EST 2017 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 /usr/bin/bc tmpdir is ./tmp.mri_nu_correct.mni.28821 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_convert orig.mgz ./tmp.mri_nu_correct.mni.28821/nu0.mnc -odt float mri_convert.bin orig.mgz ./tmp.mri_nu_correct.mni.28821/nu0.mnc -odt float $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from orig.mgz... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) changing data type from uchar to float (noscale = 0)... writing to ./tmp.mri_nu_correct.mni.28821/nu0.mnc... -------------------------------------------------------- Iteration 1 Thu Jan 19 03:25:27 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.28821/nu0.mnc ./tmp.mri_nu_correct.mni.28821/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.28821/0/ -iterations 1000 -distance 50 [zkaufman@compute-0-98:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/] [2017-01-19 03:25:27] running: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 1000 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1.0e-7 -distance 50 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.28821/0/ ./tmp.mri_nu_correct.mni.28821/nu0.mnc ./tmp.mri_nu_correct.mni.28821/nu1.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 5 CV of field change: 0.000993914 mri_convert ./tmp.mri_nu_correct.mni.28821/nu1.mnc orig_nu.mgz --like orig.mgz --conform mri_convert.bin ./tmp.mri_nu_correct.mni.28821/nu1.mnc orig_nu.mgz --like orig.mgz --conform $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from ./tmp.mri_nu_correct.mni.28821/nu1.mnc... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) INFO: transform src into the like-volume: orig.mgz changing data type from float to uchar (noscale = 0)... MRIchangeType: Building histogram writing to orig_nu.mgz... Thu Jan 19 03:27:08 EST 2017 mri_nu_correct.mni done @#@FSTIME 2017:01:19:03:25:14 mri_nu_correct.mni N 11 e 113.94 S 1.98 U 50.57 P 46% M 166692 F 8 R 149864 W 0 c 13311 w 14646 I 21288 O 922680 L 4.99 4.34 3.62 @#@FSLOADPOST 2017:01:19:03:27:08 mri_nu_correct.mni N 11 5.03 4.57 3.78 talairach_avi --i orig_nu.mgz --xfm transforms/talairach.auto.xfm talairach_avi log file is transforms/talairach_avi.log... Started at Thu Jan 19 03:27:08 EST 2017 Ended at Thu Jan 19 03:28:53 EST 2017 talairach_avi done @#@FSTIME 2017:01:19:03:27:08 talairach_avi N 4 e 105.55 S 1.70 U 71.02 P 68% M 253840 F 18 R 44616 W 0 c 8756 w 8445 I 280272 O 296072 L 5.03 4.57 3.78 @#@FSLOADPOST 2017:01:19:03:28:53 talairach_avi N 4 4.94 4.67 3.90 cp transforms/talairach.auto.xfm transforms/talairach.xfm #-------------------------------------------- #@# Talairach Failure Detection Thu Jan 19 03:28:56 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri talairach_afd -T 0.005 -xfm transforms/talairach.xfm talairach_afd: Talairach Transform: transforms/talairach.xfm OK (p=0.7377, pval=0.6675 >= threshold=0.0050) @#@FSTIME 2017:01:19:03:28:57 talairach_afd N 4 e 1.09 S 0.00 U 0.00 P 1% M 3372 F 12 R 915 W 0 c 159 w 40 I 10056 O 0 L 4.94 4.67 3.90 @#@FSLOADPOST 2017:01:19:03:28:58 talairach_afd N 4 4.94 4.67 3.90 awk -f /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/extract_talairach_avi_QA.awk /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/transforms/talairach_avi.log tal_QC_AZS /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/transforms/talairach_avi.log TalAviQA: 0.97736 z-score: 0 #-------------------------------------------- #@# Nu Intensity Correction Thu Jan 19 03:28:58 EST 2017 mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 nIters 2 $Id: mri_nu_correct.mni,v 1.27 2016/02/26 16:19:49 mreuter Exp $ Linux compute-0-98 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux Thu Jan 19 03:28:59 EST 2017 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 /usr/bin/bc tmpdir is ./tmp.mri_nu_correct.mni.29837 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_convert orig.mgz ./tmp.mri_nu_correct.mni.29837/nu0.mnc -odt float mri_convert.bin orig.mgz ./tmp.mri_nu_correct.mni.29837/nu0.mnc -odt float $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from orig.mgz... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) changing data type from uchar to float (noscale = 0)... writing to ./tmp.mri_nu_correct.mni.29837/nu0.mnc... -------------------------------------------------------- Iteration 1 Thu Jan 19 03:29:09 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.29837/nu0.mnc ./tmp.mri_nu_correct.mni.29837/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.29837/0/ [zkaufman@compute-0-98:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/] [2017-01-19 03:29:10] running: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 50 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1.0e-7 -distance 200 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.29837/0/ ./tmp.mri_nu_correct.mni.29837/nu0.mnc ./tmp.mri_nu_correct.mni.29837/nu1.imp Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 2 CV of field change: 0.000916106 -------------------------------------------------------- Iteration 2 Thu Jan 19 03:30:28 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.29837/nu1.mnc ./tmp.mri_nu_correct.mni.29837/nu2.mnc -tmpdir ./tmp.mri_nu_correct.mni.29837/1/ [zkaufman@compute-0-98:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/] [2017-01-19 03:30:29] running: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 50 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1.0e-7 -distance 200 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.29837/1/ ./tmp.mri_nu_correct.mni.29837/nu1.mnc ./tmp.mri_nu_correct.mni.29837/nu2.imp Processing:.................................................................Done Number of iterations: 1 CV of field change: 0.00095443 mri_binarize --i ./tmp.mri_nu_correct.mni.29837/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.29837/ones.mgz $Id: mri_binarize.c,v 1.43 2016/06/09 20:46:21 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri cmdline mri_binarize.bin --i ./tmp.mri_nu_correct.mni.29837/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.29837/ones.mgz sysname Linux hostname compute-0-98 machine x86_64 user zkaufman input ./tmp.mri_nu_correct.mni.29837/nu2.mnc frame 0 nErode3d 0 nErode2d 0 output ./tmp.mri_nu_correct.mni.29837/ones.mgz Binarizing based on threshold min -1 max +infinity binval 1 binvalnot 0 fstart = 0, fend = 0, nframes = 1 Found 16777216 values in range Counting number of voxels in first frame Found 16777216 voxels in final mask Count: 16777216 16777216.000000 16777216 100.000000 mri_binarize done mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.29837/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.29837/sum.junk --avgwf ./tmp.mri_nu_correct.mni.29837/input.mean.dat $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.29837/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.29837/sum.junk --avgwf ./tmp.mri_nu_correct.mni.29837/input.mean.dat sysname Linux hostname compute-0-98 machine x86_64 user zkaufman UseRobust 0 Loading ./tmp.mri_nu_correct.mni.29837/ones.mgz Loading orig.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 1 segmentations Computing statistics for each segmentation Reporting on 1 segmentations Using PrintSegStat Computing spatial average of each frame 0 Writing to ./tmp.mri_nu_correct.mni.29837/input.mean.dat mri_segstats done mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.29837/ones.mgz --i ./tmp.mri_nu_correct.mni.29837/nu2.mnc --sum ./tmp.mri_nu_correct.mni.29837/sum.junk --avgwf ./tmp.mri_nu_correct.mni.29837/output.mean.dat $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.29837/ones.mgz --i ./tmp.mri_nu_correct.mni.29837/nu2.mnc --sum ./tmp.mri_nu_correct.mni.29837/sum.junk --avgwf ./tmp.mri_nu_correct.mni.29837/output.mean.dat sysname Linux hostname compute-0-98 machine x86_64 user zkaufman UseRobust 0 Loading ./tmp.mri_nu_correct.mni.29837/ones.mgz Loading ./tmp.mri_nu_correct.mni.29837/nu2.mnc Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 1 segmentations Computing statistics for each segmentation Reporting on 1 segmentations Using PrintSegStat Computing spatial average of each frame 0 Writing to ./tmp.mri_nu_correct.mni.29837/output.mean.dat mri_segstats done mris_calc -o ./tmp.mri_nu_correct.mni.29837/nu2.mnc ./tmp.mri_nu_correct.mni.29837/nu2.mnc mul .98870909773737749007 Saving result to './tmp.mri_nu_correct.mni.29837/nu2.mnc' (type = MINC ) [ ok ] mri_convert ./tmp.mri_nu_correct.mni.29837/nu2.mnc nu.mgz --like orig.mgz mri_convert.bin ./tmp.mri_nu_correct.mni.29837/nu2.mnc nu.mgz --like orig.mgz $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ reading from ./tmp.mri_nu_correct.mni.29837/nu2.mnc... TR=0.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) INFO: transform src into the like-volume: orig.mgz writing to nu.mgz... mri_make_uchar nu.mgz transforms/talairach.xfm nu.mgz type change took 0 minutes and 10 seconds. mapping (18, 214) to ( 3, 110) Thu Jan 19 03:32:59 EST 2017 mri_nu_correct.mni done @#@FSTIME 2017:01:19:03:28:58 mri_nu_correct.mni N 8 e 240.27 S 4.84 U 133.97 P 57% M 612496 F 15 R 440253 W 0 c 26347 w 28767 I 24792 O 1882816 L 4.95 4.68 3.91 @#@FSLOADPOST 2017:01:19:03:32:59 mri_nu_correct.mni N 8 5.03 4.86 4.15 mri_add_xform_to_header -c /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/transforms/talairach.xfm nu.mgz nu.mgz INFO: extension is mgz @#@FSTIME 2017:01:19:03:32:59 mri_add_xform_to_header N 4 e 3.45 S 0.03 U 0.93 P 28% M 21080 F 0 R 5359 W 0 c 218 w 136 I 0 O 6400 L 5.03 4.86 4.15 @#@FSLOADPOST 2017:01:19:03:33:02 mri_add_xform_to_header N 4 5.03 4.86 4.15 #-------------------------------------------- #@# Intensity Normalization Thu Jan 19 03:33:03 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_normalize -g 1 -mprage nu.mgz T1.mgz using max gradient = 1.000 assuming input volume is MGH (Van der Kouwe) MP-RAGE reading from nu.mgz... normalizing image... talairach transform 1.08232 -0.01407 -0.01785 0.95610; -0.01826 0.97360 0.28645 -7.40842; 0.03436 -0.29640 1.09865 -5.10956; 0.00000 0.00000 0.00000 1.00000; processing without aseg, no1d=0 MRInormInit(): INFO: Modifying talairach volume c_(r,a,s) based on average_305 MRInormalize(): MRIsplineNormalize(): npeaks = 17 Starting OpenSpline(): npoints = 17 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Iterating 2 times --------------------------------- 3d normalization pass 1 of 2 white matter peak found at 110 white matter peak found at 110 gm peak at 52 (52), valley at 17 (17) csf peak at 26, setting threshold to 43 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 110 white matter peak found at 110 gm peak at 43 (43), valley at 16 (16) csf peak at 22, setting threshold to 36 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to T1.mgz 3D bias adjustment took 3 minutes and 53 seconds. @#@FSTIME 2017:01:19:03:33:04 mri_normalize N 5 e 234.68 S 0.68 U 233.00 P 99% M 552888 F 0 R 267601 W 0 c 1183 w 137 I 0 O 6120 L 5.10 4.88 4.16 @#@FSLOADPOST 2017:01:19:03:36:59 mri_normalize N 5 5.09 4.97 4.35 #-------------------------------------------- #@# Skull Stripping Thu Jan 19 03:36:59 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_em_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mri_em_register.skull.dat -skull nu.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_withskull_2016-05-10.vc700.gca transforms/talairach_with_skull.lta aligning to atlas containing skull, setting unknown_nbr_spacing = 5 == Number of threads available to mri_em_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach_with_skull.log reading '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_withskull_2016-05-10.vc700.gca'... average std = 22.9 using min determinant for regularization = 52.6 0 singular and 9002 ill-conditioned covariance matrices regularized reading 'nu.mgz'... freeing gibbs priors...done. accounting for voxel sizes in initial transform bounding unknown intensity as < 8.7 or > 569.1 total sample mean = 77.6 (1399 zeros) ************************************************ spacing=8, using 3243 sample points, tol=1.00e-05... ************************************************ register_mri: find_optimal_transform find_optimal_transform: nsamples 3243, passno 0, spacing 8 resetting wm mean[0]: 100 --> 108 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=7.0 skull bounding box = (51, 44, 20) --> (206, 222, 219) using (103, 103, 120) as brain centroid... mean wm in atlas = 108, using box (84,81,95) --> (122, 124,144) to find MRI wm before smoothing, mri peak at 107 robust fit to distribution - 108 +- 6.5 after smoothing, mri peak at 108, scaling input intensities by 1.000 scaling channel 0 by 1 initial log_p = -4.406 ************************************************ First Search limited to translation only. ************************************************ max log p = -4.319437 @ (-9.091, -9.091, -9.091) max log p = -4.118397 @ (4.545, 4.545, -4.545) max log p = -4.118397 @ (0.000, 0.000, 0.000) max log p = -4.106354 @ (-1.136, -1.136, 1.136) max log p = -4.086539 @ (0.568, 0.568, -0.568) max log p = -4.086539 @ (0.000, 0.000, 0.000) Found translation: (-5.1, -5.1, -13.1): log p = -4.087 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.740, old_max_log_p =-4.087 (thresh=-4.1) 1.06375 0.00000 0.00000 -13.40042; 0.00000 1.11081 0.29764 -50.84031; 0.00000 -0.25882 0.96593 29.27762; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.740, old_max_log_p =-3.740 (thresh=-3.7) 1.06375 0.00000 0.00000 -13.40042; 0.00000 1.11081 0.29764 -50.84031; 0.00000 -0.25882 0.96593 29.27762; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.2500 **************************************** Nine parameter search. iteration 2 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.648, old_max_log_p =-3.740 (thresh=-3.7) 1.08295 0.00000 0.00000 -14.09118; 0.00000 1.13086 0.30301 -52.51894; 0.00000 -0.25882 0.96593 31.15262; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.648, old_max_log_p =-3.648 (thresh=-3.6) 1.06264 0.00000 0.00000 -11.48555; 0.00000 1.13086 0.30301 -52.51894; 0.00000 -0.25882 0.96593 31.15262; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.0625 **************************************** Nine parameter search. iteration 4 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.614, old_max_log_p =-3.648 (thresh=-3.6) 1.06012 -0.00235 0.00786 -11.31497; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 5 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.613, old_max_log_p =-3.614 (thresh=-3.6) 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; min search scale 0.025000 reached *********************************************** Computing MAP estimate using 3243 samples... *********************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; nsamples 3243 Quasinewton: input matrix 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 008: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.613 (old=-4.406) transform before final EM align: 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; ************************************************** EM alignment process ... Computing final MAP estimate using 364799 samples. ************************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; nsamples 364799 Quasinewton: input matrix 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 010: -log(p) = 4.1 tol 0.000000 final transform: 1.05763 -0.00234 0.00784 -10.99577; 0.00000 1.12286 0.32621 -53.70673; -0.00868 -0.28754 0.96152 35.88440; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach_with_skull.lta... mri_em_register utimesec 1021.436718 mri_em_register stimesec 0.921859 mri_em_register ru_maxrss 609760 mri_em_register ru_ixrss 0 mri_em_register ru_idrss 0 mri_em_register ru_isrss 0 mri_em_register ru_minflt 157258 mri_em_register ru_majflt 1 mri_em_register ru_nswap 0 mri_em_register ru_inblock 149440 mri_em_register ru_oublock 32 mri_em_register ru_msgsnd 0 mri_em_register ru_msgrcv 0 mri_em_register ru_nsignals 0 mri_em_register ru_nvcsw 36 mri_em_register ru_nivcsw 4076 registration took 17 minutes and 3 seconds. @#@FSTIME 2017:01:19:03:36:59 mri_em_register N 6 e 1022.80 S 0.96 U 1021.43 P 99% M 609760 F 1 R 157263 W 0 c 4078 w 47 I 149440 O 40 L 5.09 4.97 4.35 @#@FSLOADPOST 2017:01:19:03:54:02 mri_em_register N 6 5.08 5.02 4.77 mri_watershed -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mri_watershed.dat -T1 -brain_atlas /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_withskull_2016-05-10.vc700.gca transforms/talairach_with_skull.lta T1.mgz brainmask.auto.mgz Mode: T1 normalized volume Mode: Use the information of atlas (default parms, --help for details) ********************************************************* The input file is T1.mgz The output file is brainmask.auto.mgz Weighting the input with atlas information before watershed *************************WATERSHED************************** Sorting... first estimation of the COG coord: x=128 y=111 z=117 r=74 first estimation of the main basin volume: 1740304 voxels Looking for seedpoints 2 found in the cerebellum 18 found in the rest of the brain global maximum in x=110, y=100, z=81, Imax=255 CSF=14, WM_intensity=110, WM_VARIANCE=5 WM_MIN=110, WM_HALF_MIN=110, WM_HALF_MAX=110, WM_MAX=110 preflooding height equal to 10 percent done. Analyze... main basin size=9308206379 voxels, voxel volume =1.000 = 9308206379 mmm3 = 9308206.080 cm3 done. PostAnalyze...Basin Prior 40 basins merged thanks to atlas ***** 0 basin(s) merged in 1 iteration(s) ***** 0 voxel(s) added to the main basin done. Weighting the input with prior template ****************TEMPLATE DEFORMATION**************** second estimation of the COG coord: x=128,y=121, z=110, r=9960 iterations ^^^^^^^^ couldn't find WM with original limits - expanding ^^^^^^ GLOBAL CSF_MIN=0, CSF_intensity=27, CSF_MAX=48 , nb = 41482 RIGHT_CER CSF_MIN=1, CSF_intensity=2, CSF_MAX=35 , nb = -1031815019 LEFT_CER CSF_MIN=1, CSF_intensity=2, CSF_MAX=34 , nb = -1049675891 RIGHT_BRAIN CSF_MIN=0, CSF_intensity=23, CSF_MAX=51 , nb = 1060690965 LEFT_BRAIN CSF_MIN=0, CSF_intensity=27, CSF_MAX=47 , nb = 1079965308 OTHER CSF_MIN=1, CSF_intensity=10, CSF_MAX=42 , nb = 1069744082 Problem with the least square interpolation in GM_MIN calculation. CSF_MAX TRANSITION GM_MIN GM GLOBAL before analyzing : 48, 41, 32, 63 after analyzing : 37, 41, 41, 46 RIGHT_CER before analyzing : 35, 33, 32, 63 after analyzing : 23, 33, 33, 40 LEFT_CER before analyzing : 34, 69, 83, 95 after analyzing : 34, 78, 83, 82 RIGHT_BRAIN before analyzing : 51, 42, 33, 63 after analyzing : 37, 42, 42, 47 LEFT_BRAIN before analyzing : 47, 40, 33, 59 after analyzing : 36, 40, 40, 44 OTHER before analyzing : 42, 69, 81, 94 after analyzing : 42, 77, 81, 81 mri_strip_skull: done peeling brain highly tesselated surface with 10242 vertices matching...76 iterations *********************VALIDATION********************* curvature mean = -0.013, std = 0.012 curvature mean = 67.845, std = 8.794 No Rigid alignment: -atlas Mode Off (basic atlas / no registration) before rotation: sse = 2.46, sigma = 5.33 after rotation: sse = 2.46, sigma = 5.33 Localization of inacurate regions: Erosion-Dilation steps the sse mean is 2.49, its var is 4.12 before Erosion-Dilatation 0.47% of inacurate vertices after Erosion-Dilatation 0.00% of inacurate vertices Validation of the shape of the surface done. Scaling of atlas fields onto current surface fields ********FINAL ITERATIVE TEMPLATE DEFORMATION******** Compute Local values csf/gray Fine Segmentation...41 iterations mri_strip_skull: done peeling brain Brain Size = 1577563 voxels, voxel volume = 1.000 mm3 = 1577563 mmm3 = 1577.563 cm3 ****************************** Saving brainmask.auto.mgz done mri_watershed utimesec 29.921451 mri_watershed stimesec 0.510922 mri_watershed ru_maxrss 825876 mri_watershed ru_ixrss 0 mri_watershed ru_idrss 0 mri_watershed ru_isrss 0 mri_watershed ru_minflt 211792 mri_watershed ru_majflt 1 mri_watershed ru_nswap 0 mri_watershed ru_inblock 8992 mri_watershed ru_oublock 2592 mri_watershed ru_msgsnd 0 mri_watershed ru_msgrcv 0 mri_watershed ru_nsignals 0 mri_watershed ru_nvcsw 152 mri_watershed ru_nivcsw 260 mri_watershed done @#@FSTIME 2017:01:19:03:54:02 mri_watershed N 8 e 30.86 S 0.57 U 29.92 P 98% M 825876 F 1 R 211798 W 0 c 261 w 157 I 8992 O 2600 L 5.08 5.02 4.77 @#@FSLOADPOST 2017:01:19:03:54:33 mri_watershed N 8 5.05 5.01 4.77 cp brainmask.auto.mgz brainmask.mgz #------------------------------------- #@# EM Registration Thu Jan 19 03:54:34 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_em_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mri_em_register.dat -uns 3 -mask brainmask.mgz nu.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca transforms/talairach.lta setting unknown_nbr_spacing = 3 using MR volume brainmask.mgz to mask input volume... == Number of threads available to mri_em_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach.log reading '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca'... average std = 7.3 using min determinant for regularization = 5.3 0 singular and 841 ill-conditioned covariance matrices regularized reading 'nu.mgz'... freeing gibbs priors...done. accounting for voxel sizes in initial transform bounding unknown intensity as < 6.3 or > 503.7 total sample mean = 78.8 (1011 zeros) ************************************************ spacing=8, using 2830 sample points, tol=1.00e-05... ************************************************ register_mri: find_optimal_transform find_optimal_transform: nsamples 2830, passno 0, spacing 8 resetting wm mean[0]: 98 --> 107 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=23.0 skull bounding box = (62, 62, 39) --> (190, 194, 205) using (105, 106, 122) as brain centroid... mean wm in atlas = 107, using box (89,90,102) --> (120, 122,142) to find MRI wm before smoothing, mri peak at 108 robust fit to distribution - 109 +- 5.4 after smoothing, mri peak at 109, scaling input intensities by 0.982 scaling channel 0 by 0.981651 initial log_p = -3.950 ************************************************ First Search limited to translation only. ************************************************ max log p = -3.951317 @ (0.000, 0.000, 0.000) max log p = -3.694736 @ (-4.545, -4.545, -13.636) max log p = -3.612130 @ (2.273, 2.273, 2.273) max log p = -3.608665 @ (1.136, 1.136, 1.136) max log p = -3.583233 @ (-1.705, -0.568, -0.568) max log p = -3.583233 @ (0.000, 0.000, 0.000) Found translation: (-2.8, -1.7, -10.8): log p = -3.583 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.248, old_max_log_p =-3.583 (thresh=-3.6) 1.00000 0.00000 0.00000 -2.84091; 0.00000 1.11081 0.29764 -49.71036; 0.00000 -0.25882 0.96593 31.98102; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.248, old_max_log_p =-3.248 (thresh=-3.2) 1.00000 0.00000 0.00000 -2.84091; 0.00000 1.11081 0.29764 -49.71036; 0.00000 -0.25882 0.96593 31.98102; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.2500 **************************************** Nine parameter search. iteration 2 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.120, old_max_log_p =-3.248 (thresh=-3.2) 1.05639 -0.03703 -0.00992 -4.51423; 0.03331 1.08940 0.29190 -48.89399; 0.00000 -0.25378 0.94714 31.53511; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.111, old_max_log_p =-3.120 (thresh=-3.1) 1.07619 -0.00837 0.03045 -14.99870; -0.00127 1.09798 0.25992 -41.91989; -0.03410 -0.22074 0.97392 29.00187; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 4 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.111, old_max_log_p =-3.111 (thresh=-3.1) 1.07619 -0.00837 0.03045 -14.99870; -0.00127 1.09798 0.25992 -41.91989; -0.03410 -0.22074 0.97392 29.00187; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.0625 **************************************** Nine parameter search. iteration 5 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.082, old_max_log_p =-3.111 (thresh=-3.1) 1.07506 -0.02423 0.01774 -11.54066; 0.01576 1.09265 0.27599 -45.27086; -0.02490 -0.23828 0.96746 31.58118; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 6 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.080, old_max_log_p =-3.082 (thresh=-3.1) 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; min search scale 0.025000 reached *********************************************** Computing MAP estimate using 2830 samples... *********************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; nsamples 2830 Quasinewton: input matrix 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 009: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.080 (old=-3.950) transform before final EM align: 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; ************************************************** EM alignment process ... Computing final MAP estimate using 315557 samples. ************************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; nsamples 315557 Quasinewton: input matrix 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 011: -log(p) = 3.7 tol 0.000000 final transform: 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach.lta... mri_em_register utimesec 988.985651 mri_em_register stimesec 0.996848 mri_em_register ru_maxrss 598980 mri_em_register ru_ixrss 0 mri_em_register ru_idrss 0 mri_em_register ru_isrss 0 mri_em_register ru_minflt 158518 mri_em_register ru_majflt 0 mri_em_register ru_nswap 0 mri_em_register ru_inblock 140152 mri_em_register ru_oublock 24 mri_em_register ru_msgsnd 0 mri_em_register ru_msgrcv 0 mri_em_register ru_nsignals 0 mri_em_register ru_nvcsw 53 mri_em_register ru_nivcsw 3651 registration took 16 minutes and 30 seconds. @#@FSTIME 2017:01:19:03:54:34 mri_em_register N 9 e 990.47 S 1.03 U 988.98 P 99% M 598980 F 0 R 158523 W 0 c 3654 w 64 I 140152 O 32 L 4.97 5.00 4.77 @#@FSLOADPOST 2017:01:19:04:11:04 mri_em_register N 9 4.99 5.00 4.89 #-------------------------------------- #@# CA Normalize Thu Jan 19 04:11:04 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_ca_normalize -c ctrl_pts.mgz -mask brainmask.mgz nu.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca transforms/talairach.lta norm.mgz writing control point volume to ctrl_pts.mgz using MR volume brainmask.mgz to mask input volume... reading 1 input volume reading atlas from '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca'... reading transform from 'transforms/talairach.lta'... reading input volume from nu.mgz... resetting wm mean[0]: 98 --> 107 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=8.0 skull bounding box = (60, 59, 36) --> (194, 196, 207) using (105, 105, 122) as brain centroid... mean wm in atlas = 107, using box (89,88,101) --> (121, 121,143) to find MRI wm before smoothing, mri peak at 111 robust fit to distribution - 109 +- 5.4 after smoothing, mri peak at 109, scaling input intensities by 0.982 scaling channel 0 by 0.981651 using 246344 sample points... INFO: compute sample coordinates transform 1.07641 -0.01533 0.02008 -13.05085; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; INFO: transform used finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (130, 61, 34) --> (191, 167, 199) Left_Cerebral_White_Matter: limiting intensities to 94.0 --> 130.0 0 of 529 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (69, 61, 32) --> (130, 162, 199) Right_Cerebral_White_Matter: limiting intensities to 96.0 --> 130.0 0 of 456 (0.0%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (131, 145, 63) --> (176, 182, 117) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 130.0 18 of 20 (90.0%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (89, 145, 60) --> (130, 182, 117) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 130.0 8 of 9 (88.9%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (114, 131, 98) --> (146, 194, 128) Brain_Stem: limiting intensities to 88.0 --> 130.0 7 of 26 (26.9%) samples deleted using 1040 total control points for intensity normalization... bias field = 0.980 +- 0.040 0 of 1007 control points discarded finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (130, 61, 34) --> (191, 167, 199) Left_Cerebral_White_Matter: limiting intensities to 92.0 --> 127.0 0 of 616 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (69, 61, 32) --> (130, 162, 199) Right_Cerebral_White_Matter: limiting intensities to 92.0 --> 127.0 0 of 646 (0.0%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (131, 145, 63) --> (176, 182, 117) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 127.0 71 of 73 (97.3%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (89, 145, 60) --> (130, 182, 117) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 127.0 64 of 64 (100.0%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (114, 131, 98) --> (146, 194, 128) Brain_Stem: limiting intensities to 88.0 --> 127.0 72 of 93 (77.4%) samples deleted using 1492 total control points for intensity normalization... bias field = 1.007 +- 0.037 1 of 1264 control points discarded finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (130, 61, 34) --> (191, 167, 199) Left_Cerebral_White_Matter: limiting intensities to 89.0 --> 128.0 4 of 700 (0.6%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (69, 61, 32) --> (130, 162, 199) Right_Cerebral_White_Matter: limiting intensities to 89.0 --> 128.0 1 of 695 (0.1%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (131, 145, 63) --> (176, 182, 117) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 128.0 108 of 111 (97.3%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (89, 145, 60) --> (130, 182, 117) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 128.0 109 of 109 (100.0%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (114, 131, 98) --> (146, 194, 128) Brain_Stem: limiting intensities to 88.0 --> 128.0 190 of 212 (89.6%) samples deleted using 1827 total control points for intensity normalization... bias field = 1.008 +- 0.035 1 of 1390 control points discarded writing normalized volume to norm.mgz... writing control points to ctrl_pts.mgz freeing GCA...done. normalization took 1 minutes and 44 seconds. @#@FSTIME 2017:01:19:04:11:05 mri_ca_normalize N 8 e 103.65 S 0.80 U 102.49 P 99% M 658088 F 0 R 380716 W 0 c 257 w 118 I 0 O 3632 L 4.99 5.00 4.89 @#@FSLOADPOST 2017:01:19:04:12:48 mri_ca_normalize N 8 5.17 5.05 4.92 #-------------------------------------- #@# CA Reg Thu Jan 19 04:12:48 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_ca_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mri_ca_register.dat -nobigventricles -T transforms/talairach.lta -align-after -mask brainmask.mgz norm.mgz /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca transforms/talairach.m3z not handling expanded ventricles... using previously computed transform transforms/talairach.lta renormalizing sequences with structure alignment, equivalent to: -renormalize -regularize_mean 0.500 -regularize 0.500 using MR volume brainmask.mgz to mask input volume... == Number of threads available to mri_ca_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach.log reading input volume 'norm.mgz'... reading GCA '/space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca'... label assignment complete, 0 changed (0.00%) det(m_affine) = 1.21 (predicted orig area = 6.6) label assignment complete, 0 changed (0.00%) freeing gibbs priors...done. average std[0] = 5.0 **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.039 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.915, neg=0, invalid=762 0001: dt=245.298361, rms=0.853 (6.719%), neg=0, invalid=762 0002: dt=225.216109, rms=0.825 (3.367%), neg=0, invalid=762 0003: dt=212.139860, rms=0.812 (1.562%), neg=0, invalid=762 0004: dt=235.746090, rms=0.803 (1.071%), neg=0, invalid=762 0005: dt=187.534884, rms=0.797 (0.810%), neg=0, invalid=762 0006: dt=369.920000, rms=0.791 (0.700%), neg=0, invalid=762 0007: dt=142.857143, rms=0.786 (0.634%), neg=0, invalid=762 0008: dt=517.888000, rms=0.781 (0.688%), neg=0, invalid=762 0009: dt=133.090909, rms=0.777 (0.441%), neg=0, invalid=762 0010: dt=1183.744000, rms=0.771 (0.812%), neg=0, invalid=762 0011: dt=129.472000, rms=0.765 (0.740%), neg=0, invalid=762 0012: dt=443.904000, rms=0.763 (0.219%), neg=0, invalid=762 0013: dt=443.904000, rms=0.763 (-0.608%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.764, neg=0, invalid=762 0014: dt=129.472000, rms=0.760 (0.528%), neg=0, invalid=762 0015: dt=517.888000, rms=0.758 (0.356%), neg=0, invalid=762 0016: dt=129.472000, rms=0.757 (0.083%), neg=0, invalid=762 0017: dt=129.472000, rms=0.757 (0.045%), neg=0, invalid=762 0018: dt=129.472000, rms=0.756 (0.099%), neg=0, invalid=762 0019: dt=129.472000, rms=0.755 (0.148%), neg=0, invalid=762 0020: dt=129.472000, rms=0.753 (0.220%), neg=0, invalid=762 0021: dt=129.472000, rms=0.751 (0.262%), neg=0, invalid=762 0022: dt=129.472000, rms=0.749 (0.277%), neg=0, invalid=762 0023: dt=129.472000, rms=0.747 (0.253%), neg=0, invalid=762 0024: dt=129.472000, rms=0.746 (0.227%), neg=0, invalid=762 0025: dt=129.472000, rms=0.744 (0.208%), neg=0, invalid=762 0026: dt=129.472000, rms=0.742 (0.235%), neg=0, invalid=762 0027: dt=129.472000, rms=0.740 (0.268%), neg=0, invalid=762 0028: dt=129.472000, rms=0.738 (0.272%), neg=0, invalid=762 0029: dt=129.472000, rms=0.736 (0.251%), neg=0, invalid=762 0030: dt=129.472000, rms=0.735 (0.224%), neg=0, invalid=762 0031: dt=129.472000, rms=0.733 (0.195%), neg=0, invalid=762 0032: dt=129.472000, rms=0.732 (0.194%), neg=0, invalid=762 0033: dt=129.472000, rms=0.730 (0.198%), neg=0, invalid=762 0034: dt=129.472000, rms=0.729 (0.185%), neg=0, invalid=762 0035: dt=129.472000, rms=0.728 (0.164%), neg=0, invalid=762 0036: dt=129.472000, rms=0.727 (0.149%), neg=0, invalid=762 0037: dt=129.472000, rms=0.726 (0.137%), neg=0, invalid=762 0038: dt=129.472000, rms=0.725 (0.148%), neg=0, invalid=762 0039: dt=129.472000, rms=0.724 (0.150%), neg=0, invalid=762 0040: dt=129.472000, rms=0.722 (0.156%), neg=0, invalid=762 0041: dt=129.472000, rms=0.721 (0.150%), neg=0, invalid=762 0042: dt=129.472000, rms=0.720 (0.136%), neg=0, invalid=762 0043: dt=129.472000, rms=0.719 (0.128%), neg=0, invalid=762 0044: dt=129.472000, rms=0.719 (0.131%), neg=0, invalid=762 0045: dt=129.472000, rms=0.718 (0.137%), neg=0, invalid=762 0046: dt=129.472000, rms=0.717 (0.125%), neg=0, invalid=762 0047: dt=129.472000, rms=0.716 (0.117%), neg=0, invalid=762 0048: dt=1775.616000, rms=0.715 (0.128%), neg=0, invalid=762 0049: dt=73.984000, rms=0.715 (0.019%), neg=0, invalid=762 0050: dt=73.984000, rms=0.715 (0.004%), neg=0, invalid=762 0051: dt=73.984000, rms=0.715 (-0.018%), neg=0, invalid=762 setting smoothness coefficient to 0.154 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.720, neg=0, invalid=762 0052: dt=174.545455, rms=0.711 (1.282%), neg=0, invalid=762 0053: dt=198.826667, rms=0.695 (2.274%), neg=0, invalid=762 0054: dt=74.823529, rms=0.690 (0.684%), neg=0, invalid=762 0055: dt=497.664000, rms=0.679 (1.668%), neg=0, invalid=762 0056: dt=75.580952, rms=0.671 (1.137%), neg=0, invalid=762 0057: dt=145.152000, rms=0.668 (0.453%), neg=0, invalid=762 0058: dt=65.590062, rms=0.666 (0.200%), neg=0, invalid=762 0059: dt=65.590062, rms=0.665 (0.158%), neg=0, invalid=762 0060: dt=65.590062, rms=0.664 (0.261%), neg=0, invalid=762 0061: dt=65.590062, rms=0.661 (0.374%), neg=0, invalid=762 0062: dt=65.590062, rms=0.658 (0.434%), neg=0, invalid=762 0063: dt=65.590062, rms=0.655 (0.495%), neg=0, invalid=762 0064: dt=65.590062, rms=0.652 (0.524%), neg=0, invalid=762 0065: dt=65.590062, rms=0.648 (0.496%), neg=0, invalid=762 0066: dt=65.590062, rms=0.645 (0.478%), neg=0, invalid=762 0067: dt=65.590062, rms=0.643 (0.428%), neg=0, invalid=762 0068: dt=65.590062, rms=0.640 (0.394%), neg=0, invalid=762 0069: dt=65.590062, rms=0.638 (0.386%), neg=0, invalid=762 0070: dt=65.590062, rms=0.635 (0.352%), neg=0, invalid=762 0071: dt=65.590062, rms=0.633 (0.302%), neg=0, invalid=762 0072: dt=65.590062, rms=0.632 (0.249%), neg=0, invalid=762 0073: dt=65.590062, rms=0.630 (0.212%), neg=0, invalid=762 0074: dt=65.590062, rms=0.629 (0.196%), neg=0, invalid=762 0075: dt=65.590062, rms=0.628 (0.184%), neg=0, invalid=762 0076: dt=65.590062, rms=0.627 (0.164%), neg=0, invalid=762 0077: dt=65.590062, rms=0.626 (0.147%), neg=0, invalid=762 0078: dt=65.590062, rms=0.625 (0.133%), neg=0, invalid=762 0079: dt=65.590062, rms=0.624 (0.133%), neg=0, invalid=762 0080: dt=65.590062, rms=0.624 (0.111%), neg=0, invalid=762 0081: dt=65.590062, rms=0.623 (0.120%), neg=0, invalid=762 0082: dt=65.590062, rms=0.622 (0.119%), neg=0, invalid=762 0083: dt=124.416000, rms=0.622 (0.008%), neg=0, invalid=762 0084: dt=124.416000, rms=0.622 (0.031%), neg=0, invalid=762 0085: dt=124.416000, rms=0.622 (0.044%), neg=0, invalid=762 0086: dt=124.416000, rms=0.622 (-0.007%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.623, neg=0, invalid=762 0087: dt=72.101266, rms=0.621 (0.252%), neg=0, invalid=762 0088: dt=82.944000, rms=0.621 (0.023%), neg=0, invalid=762 0089: dt=82.944000, rms=0.621 (-0.023%), neg=0, invalid=762 setting smoothness coefficient to 0.588 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.647, neg=0, invalid=762 0090: dt=0.000000, rms=0.646 (0.125%), neg=0, invalid=762 0091: dt=0.000000, rms=0.646 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.647, neg=0, invalid=762 0092: dt=0.000000, rms=0.646 (0.125%), neg=0, invalid=762 0093: dt=0.000000, rms=0.646 (0.000%), neg=0, invalid=762 setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.723, neg=0, invalid=762 0094: dt=4.269565, rms=0.706 (2.321%), neg=0, invalid=762 0095: dt=0.576000, rms=0.706 (0.020%), neg=0, invalid=762 0096: dt=0.576000, rms=0.706 (-0.008%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.707, neg=0, invalid=762 0097: dt=0.000000, rms=0.706 (0.103%), neg=0, invalid=762 0098: dt=0.000000, rms=0.706 (0.000%), neg=0, invalid=762 setting smoothness coefficient to 5.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.796, neg=0, invalid=762 0099: dt=1.872146, rms=0.783 (1.658%), neg=0, invalid=762 0100: dt=1.280000, rms=0.780 (0.351%), neg=0, invalid=762 0101: dt=0.448000, rms=0.779 (0.050%), neg=0, invalid=762 0102: dt=0.448000, rms=0.779 (0.003%), neg=0, invalid=762 0103: dt=0.448000, rms=0.779 (-0.072%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.780, neg=0, invalid=762 0104: dt=0.448000, rms=0.779 (0.122%), neg=0, invalid=762 0105: dt=0.112000, rms=0.779 (-0.001%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 10.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.702, neg=0, invalid=762 0106: dt=1.035050, rms=0.675 (3.801%), neg=0, invalid=762 0107: dt=0.096000, rms=0.674 (0.220%), neg=0, invalid=762 0108: dt=0.096000, rms=0.674 (-0.098%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.674, neg=0, invalid=762 0109: dt=0.028000, rms=0.673 (0.131%), neg=0, invalid=762 0110: dt=0.007000, rms=0.673 (0.002%), neg=0, invalid=762 0111: dt=0.007000, rms=0.673 (0.001%), neg=0, invalid=762 0112: dt=0.007000, rms=0.673 (-0.004%), neg=0, invalid=762 renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.10027 (20) mri peak = 0.17616 ( 9) Left_Lateral_Ventricle (4): linear fit = 0.31 x + 0.0 (2422 voxels, overlap=0.006) Left_Lateral_Ventricle (4): linear fit = 0.40 x + 0.0 (2422 voxels, peak = 6), gca=8.0 gca peak = 0.15565 (16) mri peak = 0.15438 ( 9) Right_Lateral_Ventricle (43): linear fit = 0.40 x + 0.0 (1789 voxels, overlap=0.007) Right_Lateral_Ventricle (43): linear fit = 0.40 x + 0.0 (1789 voxels, peak = 6), gca=6.4 gca peak = 0.26829 (96) mri peak = 0.07044 (99) Right_Pallidum (52): linear fit = 1.02 x + 0.0 (869 voxels, overlap=1.005) Right_Pallidum (52): linear fit = 1.02 x + 0.0 (869 voxels, peak = 98), gca=98.4 gca peak = 0.20183 (93) mri peak = 0.07407 (95) Left_Pallidum (13): linear fit = 0.99 x + 0.0 (452 voxels, overlap=1.004) Left_Pallidum (13): linear fit = 0.99 x + 0.0 (452 voxels, peak = 92), gca=91.6 gca peak = 0.21683 (55) mri peak = 0.16046 (51) Right_Hippocampus (53): linear fit = 0.92 x + 0.0 (526 voxels, overlap=0.989) Right_Hippocampus (53): linear fit = 0.92 x + 0.0 (526 voxels, peak = 50), gca=50.3 gca peak = 0.30730 (58) mri peak = 0.08778 (50) Left_Hippocampus (17): linear fit = 0.89 x + 0.0 (643 voxels, overlap=0.967) Left_Hippocampus (17): linear fit = 0.89 x + 0.0 (643 voxels, peak = 52), gca=51.9 gca peak = 0.11430 (101) mri peak = 0.09287 (105) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (52744 voxels, overlap=0.619) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (52744 voxels, peak = 106), gca=105.5 gca peak = 0.12076 (102) mri peak = 0.08849 (106) Left_Cerebral_White_Matter (2): linear fit = 1.04 x + 0.0 (54785 voxels, overlap=0.719) Left_Cerebral_White_Matter (2): linear fit = 1.04 x + 0.0 (54785 voxels, peak = 107), gca=106.6 gca peak = 0.14995 (59) mri peak = 0.03901 (54) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (17845 voxels, overlap=0.994) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (17845 voxels, peak = 60), gca=60.5 gca peak = 0.15082 (58) mri peak = 0.03605 (63) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (17640 voxels, overlap=0.877) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (17640 voxels, peak = 59), gca=59.4 gca peak = 0.14161 (67) mri peak = 0.10613 (69) Right_Caudate (50): linear fit = 0.99 x + 0.0 (723 voxels, overlap=0.752) Right_Caudate (50): linear fit = 0.99 x + 0.0 (723 voxels, peak = 66), gca=66.0 gca peak = 0.15243 (71) mri peak = 0.12268 (65) Left_Caudate (11): linear fit = 0.90 x + 0.0 (461 voxels, overlap=0.462) Left_Caudate (11): linear fit = 0.90 x + 0.0 (461 voxels, peak = 64), gca=64.3 gca peak = 0.13336 (57) mri peak = 0.06060 (50) Left_Cerebellum_Cortex (8): linear fit = 0.89 x + 0.0 (19421 voxels, overlap=0.811) Left_Cerebellum_Cortex (8): linear fit = 0.89 x + 0.0 (19421 voxels, peak = 51), gca=51.0 gca peak = 0.13252 (56) mri peak = 0.07435 (51) Right_Cerebellum_Cortex (47): linear fit = 0.93 x + 0.0 (21857 voxels, overlap=0.960) Right_Cerebellum_Cortex (47): linear fit = 0.93 x + 0.0 (21857 voxels, peak = 52), gca=51.8 gca peak = 0.18181 (84) mri peak = 0.08749 (78) Left_Cerebellum_White_Matter (7): linear fit = 0.96 x + 0.0 (8424 voxels, overlap=0.914) Left_Cerebellum_White_Matter (7): linear fit = 0.96 x + 0.0 (8424 voxels, peak = 81), gca=81.1 gca peak = 0.20573 (83) mri peak = 0.09148 (80) Right_Cerebellum_White_Matter (46): linear fit = 0.99 x + 0.0 (7110 voxels, overlap=0.977) Right_Cerebellum_White_Matter (46): linear fit = 0.99 x + 0.0 (7110 voxels, peak = 82), gca=81.8 gca peak = 0.21969 (57) mri peak = 0.15156 (50) Left_Amygdala (18): linear fit = 0.89 x + 0.0 (413 voxels, overlap=0.703) Left_Amygdala (18): linear fit = 0.89 x + 0.0 (413 voxels, peak = 51), gca=51.0 gca peak = 0.39313 (56) mri peak = 0.14522 (54) Right_Amygdala (54): linear fit = 0.94 x + 0.0 (500 voxels, overlap=0.859) Right_Amygdala (54): linear fit = 0.94 x + 0.0 (500 voxels, peak = 53), gca=52.9 gca peak = 0.14181 (85) mri peak = 0.05810 (87) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (4757 voxels, overlap=0.991) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (4757 voxels, peak = 85), gca=84.6 gca peak = 0.11978 (83) mri peak = 0.07756 (76) Right_Thalamus_Proper (49): linear fit = 1.01 x + 0.0 (3013 voxels, overlap=0.928) Right_Thalamus_Proper (49): linear fit = 1.01 x + 0.0 (3013 voxels, peak = 84), gca=84.2 gca peak = 0.13399 (79) mri peak = 0.05646 (76) Left_Putamen (12): linear fit = 1.00 x + 0.0 (2311 voxels, overlap=1.000) Left_Putamen (12): linear fit = 1.00 x + 0.0 (2311 voxels, peak = 79), gca=78.6 gca peak = 0.14159 (79) mri peak = 0.04477 (79) Right_Putamen (51): linear fit = 1.04 x + 0.0 (2229 voxels, overlap=0.726) Right_Putamen (51): linear fit = 1.04 x + 0.0 (2229 voxels, peak = 83), gca=82.6 gca peak = 0.10025 (80) mri peak = 0.11712 (81) Brain_Stem (16): linear fit = 1.07 x + 0.0 (11639 voxels, overlap=0.401) Brain_Stem (16): linear fit = 1.07 x + 0.0 (11639 voxels, peak = 85), gca=85.2 gca peak = 0.13281 (86) mri peak = 0.08009 (93) Right_VentralDC (60): linear fit = 1.08 x + 0.0 (1004 voxels, overlap=0.631) Right_VentralDC (60): linear fit = 1.08 x + 0.0 (1004 voxels, peak = 92), gca=92.5 gca peak = 0.12801 (89) mri peak = 0.06940 (93) Left_VentralDC (28): linear fit = 1.07 x + 0.0 (1201 voxels, overlap=0.739) Left_VentralDC (28): linear fit = 1.07 x + 0.0 (1201 voxels, peak = 95), gca=94.8 gca peak = 0.20494 (23) mri peak = 0.21053 ( 9) gca peak = 0.15061 (21) mri peak = 0.18520 ( 6) Fourth_Ventricle (15): linear fit = 0.28 x + 0.0 (276 voxels, overlap=0.018) Fourth_Ventricle (15): linear fit = 0.28 x + 0.0 (276 voxels, peak = 6), gca=6.0 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.18056 (32) gca peak Left_Thalamus = 0.64095 (94) gca peak Third_Ventricle = 0.20494 (23) gca peak Fourth_Ventricle = 0.15061 (21) gca peak CSF = 0.20999 (34) gca peak Left_Accumbens_area = 0.39030 (62) gca peak Left_undetermined = 0.95280 (25) gca peak Left_vessel = 0.67734 (53) gca peak Left_choroid_plexus = 0.09433 (44) gca peak Right_Inf_Lat_Vent = 0.23544 (26) gca peak Right_Accumbens_area = 0.30312 (64) gca peak Right_vessel = 0.46315 (51) gca peak Right_choroid_plexus = 0.14086 (44) gca peak Fifth_Ventricle = 0.51669 (36) gca peak WM_hypointensities = 0.09722 (76) gca peak non_WM_hypointensities = 0.11899 (47) gca peak Optic_Chiasm = 0.39033 (72) label assignment complete, 0 changed (0.00%) not using caudate to estimate GM means estimating mean gm scale to be 0.95 x + 0.0 estimating mean wm scale to be 1.04 x + 0.0 estimating mean csf scale to be 0.40 x + 0.0 saving intensity scales to talairach.label_intensities.txt **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.008 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.683, neg=0, invalid=762 0113: dt=73.984000, rms=0.680 (0.408%), neg=0, invalid=762 0114: dt=129.472000, rms=0.678 (0.208%), neg=0, invalid=762 0115: dt=517.888000, rms=0.672 (0.916%), neg=0, invalid=762 0116: dt=110.976000, rms=0.672 (0.027%), neg=0, invalid=762 0117: dt=110.976000, rms=0.671 (0.106%), neg=0, invalid=762 0118: dt=110.976000, rms=0.670 (0.164%), neg=0, invalid=762 0119: dt=110.976000, rms=0.669 (0.184%), neg=0, invalid=762 0120: dt=110.976000, rms=0.668 (0.193%), neg=0, invalid=762 0121: dt=110.976000, rms=0.666 (0.208%), neg=0, invalid=762 0122: dt=110.976000, rms=0.665 (0.211%), neg=0, invalid=762 0123: dt=110.976000, rms=0.664 (0.190%), neg=0, invalid=762 0124: dt=110.976000, rms=0.663 (0.176%), neg=0, invalid=762 0125: dt=110.976000, rms=0.661 (0.166%), neg=0, invalid=762 0126: dt=110.976000, rms=0.660 (0.169%), neg=0, invalid=762 0127: dt=110.976000, rms=0.659 (0.172%), neg=0, invalid=762 0128: dt=110.976000, rms=0.658 (0.163%), neg=0, invalid=762 0129: dt=110.976000, rms=0.657 (0.158%), neg=0, invalid=762 0130: dt=110.976000, rms=0.656 (0.154%), neg=0, invalid=762 0131: dt=110.976000, rms=0.655 (0.142%), neg=0, invalid=762 0132: dt=110.976000, rms=0.654 (0.123%), neg=0, invalid=762 0133: dt=110.976000, rms=0.654 (0.107%), neg=0, invalid=762 0134: dt=110.976000, rms=0.653 (0.089%), neg=0, invalid=762 0135: dt=110.976000, rms=0.652 (0.087%), neg=0, invalid=762 0136: dt=110.976000, rms=0.652 (0.086%), neg=0, invalid=762 0137: dt=110.976000, rms=0.651 (0.081%), neg=0, invalid=762 0138: dt=110.976000, rms=0.651 (0.079%), neg=0, invalid=762 0139: dt=110.976000, rms=0.650 (0.072%), neg=0, invalid=762 0140: dt=110.976000, rms=0.650 (0.062%), neg=0, invalid=762 0141: dt=110.976000, rms=0.650 (0.059%), neg=0, invalid=762 0142: dt=110.976000, rms=0.649 (0.049%), neg=0, invalid=762 0143: dt=110.976000, rms=0.649 (0.044%), neg=0, invalid=762 0144: dt=110.976000, rms=0.649 (0.043%), neg=0, invalid=762 0145: dt=110.976000, rms=0.648 (0.044%), neg=0, invalid=762 0146: dt=110.976000, rms=0.648 (0.048%), neg=0, invalid=762 0147: dt=110.976000, rms=0.648 (0.051%), neg=0, invalid=762 0148: dt=110.976000, rms=0.647 (0.050%), neg=0, invalid=762 0149: dt=110.976000, rms=0.647 (0.043%), neg=0, invalid=762 0150: dt=110.976000, rms=0.647 (0.043%), neg=0, invalid=762 0151: dt=110.976000, rms=0.647 (0.038%), neg=0, invalid=762 0152: dt=110.976000, rms=0.646 (0.033%), neg=0, invalid=762 0153: dt=110.976000, rms=0.646 (0.032%), neg=0, invalid=762 0154: dt=110.976000, rms=0.646 (0.029%), neg=0, invalid=762 0155: dt=110.976000, rms=0.646 (0.031%), neg=0, invalid=762 0156: dt=110.976000, rms=0.646 (0.033%), neg=0, invalid=762 0157: dt=110.976000, rms=0.645 (0.029%), neg=0, invalid=762 0158: dt=110.976000, rms=0.645 (0.024%), neg=0, invalid=762 0159: dt=110.976000, rms=0.645 (0.023%), neg=0, invalid=762 0160: dt=1479.680000, rms=0.645 (0.030%), neg=0, invalid=762 0161: dt=73.984000, rms=0.645 (0.013%), neg=0, invalid=762 0162: dt=73.984000, rms=0.645 (0.004%), neg=0, invalid=762 0163: dt=73.984000, rms=0.645 (0.005%), neg=0, invalid=762 0164: dt=73.984000, rms=0.645 (0.004%), neg=0, invalid=762 0165: dt=73.984000, rms=0.645 (0.009%), neg=0, invalid=762 0166: dt=73.984000, rms=0.645 (0.002%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.645, neg=0, invalid=762 0167: dt=129.472000, rms=0.644 (0.272%), neg=0, invalid=762 0168: dt=443.904000, rms=0.643 (0.134%), neg=0, invalid=762 0169: dt=32.368000, rms=0.643 (0.002%), neg=0, invalid=762 0170: dt=32.368000, rms=0.643 (0.002%), neg=0, invalid=762 0171: dt=32.368000, rms=0.643 (-0.008%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.644, neg=0, invalid=762 0172: dt=141.866667, rms=0.639 (0.842%), neg=0, invalid=762 0173: dt=200.369231, rms=0.629 (1.509%), neg=0, invalid=762 0174: dt=64.955224, rms=0.625 (0.621%), neg=0, invalid=762 0175: dt=145.152000, rms=0.622 (0.438%), neg=0, invalid=762 0176: dt=78.469565, rms=0.620 (0.472%), neg=0, invalid=762 0177: dt=72.552995, rms=0.618 (0.222%), neg=0, invalid=762 0178: dt=145.152000, rms=0.616 (0.431%), neg=0, invalid=762 0179: dt=36.288000, rms=0.614 (0.233%), neg=0, invalid=762 0180: dt=145.152000, rms=0.612 (0.321%), neg=0, invalid=762 0181: dt=76.190476, rms=0.610 (0.283%), neg=0, invalid=762 0182: dt=66.560000, rms=0.610 (0.130%), neg=0, invalid=762 0183: dt=145.152000, rms=0.608 (0.311%), neg=0, invalid=762 0184: dt=36.288000, rms=0.607 (0.121%), neg=0, invalid=762 0185: dt=497.664000, rms=0.604 (0.452%), neg=0, invalid=762 0186: dt=55.351351, rms=0.601 (0.541%), neg=0, invalid=762 0187: dt=36.288000, rms=0.601 (0.059%), neg=0, invalid=762 0188: dt=580.608000, rms=0.597 (0.543%), neg=0, invalid=762 0189: dt=36.288000, rms=0.596 (0.237%), neg=0, invalid=762 0190: dt=103.680000, rms=0.595 (0.122%), neg=0, invalid=762 0191: dt=25.920000, rms=0.595 (0.022%), neg=0, invalid=762 0192: dt=3.240000, rms=0.595 (0.001%), neg=0, invalid=762 0193: dt=1.620000, rms=0.595 (0.001%), neg=0, invalid=762 0194: dt=0.810000, rms=0.595 (0.002%), neg=0, invalid=762 0195: dt=0.101250, rms=0.595 (0.000%), neg=0, invalid=762 0196: dt=0.025312, rms=0.595 (0.000%), neg=0, invalid=762 0197: dt=0.004050, rms=0.595 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.596, neg=0, invalid=762 0198: dt=122.329114, rms=0.593 (0.524%), neg=0, invalid=762 0199: dt=86.325581, rms=0.591 (0.239%), neg=0, invalid=762 0200: dt=36.288000, rms=0.591 (0.052%), neg=0, invalid=762 0201: dt=580.608000, rms=0.588 (0.462%), neg=0, invalid=762 0202: dt=36.288000, rms=0.587 (0.171%), neg=0, invalid=762 0203: dt=145.152000, rms=0.586 (0.138%), neg=0, invalid=762 0204: dt=103.680000, rms=0.586 (0.085%), neg=0, invalid=762 0205: dt=103.680000, rms=0.585 (0.093%), neg=0, invalid=762 0206: dt=36.288000, rms=0.585 (0.048%), neg=0, invalid=762 0207: dt=36.288000, rms=0.585 (0.030%), neg=0, invalid=762 0208: dt=36.288000, rms=0.585 (0.053%), neg=0, invalid=762 0209: dt=36.288000, rms=0.584 (0.073%), neg=0, invalid=762 0210: dt=36.288000, rms=0.584 (0.091%), neg=0, invalid=762 0211: dt=36.288000, rms=0.583 (0.106%), neg=0, invalid=762 0212: dt=36.288000, rms=0.582 (0.120%), neg=0, invalid=762 0213: dt=36.288000, rms=0.582 (0.126%), neg=0, invalid=762 0214: dt=18.144000, rms=0.582 (0.012%), neg=0, invalid=762 0215: dt=4.536000, rms=0.582 (0.003%), neg=0, invalid=762 0216: dt=2.268000, rms=0.582 (0.001%), neg=0, invalid=762 0217: dt=0.567000, rms=0.582 (0.001%), neg=0, invalid=762 0218: dt=0.035437, rms=0.582 (0.000%), neg=0, invalid=762 0219: dt=0.004430, rms=0.582 (0.000%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.586, neg=0, invalid=762 0220: dt=0.000000, rms=0.585 (0.162%), neg=0, invalid=762 0221: dt=0.000000, rms=0.585 (0.000%), neg=0, invalid=762 0222: dt=0.000015, rms=0.585 (0.000%), neg=0, invalid=762 0223: dt=0.000001, rms=0.585 (0.000%), neg=0, invalid=762 0224: dt=0.000000, rms=0.585 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.586, neg=0, invalid=762 0225: dt=0.000000, rms=0.585 (0.162%), neg=0, invalid=762 0226: dt=0.000000, rms=0.585 (0.000%), neg=0, invalid=762 0227: dt=0.000000, rms=0.585 (0.000%), neg=0, invalid=762 0228: dt=0.000000, rms=0.585 (-0.000%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.597, neg=0, invalid=762 0229: dt=0.000000, rms=0.596 (0.156%), neg=0, invalid=762 0230: dt=0.000000, rms=0.596 (0.000%), neg=0, invalid=762 0231: dt=0.000000, rms=0.596 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.597, neg=0, invalid=762 0232: dt=0.000000, rms=0.596 (0.156%), neg=0, invalid=762 0233: dt=0.000000, rms=0.596 (0.000%), neg=0, invalid=762 0234: dt=0.000000, rms=0.596 (-0.000%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.619, neg=0, invalid=762 0235: dt=0.000000, rms=0.618 (0.145%), neg=0, invalid=762 0236: dt=0.000000, rms=0.618 (0.000%), neg=0, invalid=762 0237: dt=0.000001, rms=0.618 (0.000%), neg=0, invalid=762 0238: dt=0.000000, rms=0.618 (0.000%), neg=0, invalid=762 0239: dt=0.000000, rms=0.618 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.619, neg=0, invalid=762 0240: dt=1.536000, rms=0.603 (2.506%), neg=0, invalid=762 0241: dt=1.792000, rms=0.593 (1.640%), neg=0, invalid=762 0242: dt=6.144000, rms=0.579 (2.473%), neg=0, invalid=762 0243: dt=0.000000, rms=0.579 (0.001%), neg=0, invalid=762 0244: dt=0.100000, rms=0.579 (-0.015%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.553, neg=0, invalid=762 0245: dt=0.448000, rms=0.535 (3.373%), neg=0, invalid=762 0246: dt=0.384000, rms=0.530 (0.876%), neg=0, invalid=762 0247: dt=0.384000, rms=0.527 (0.559%), neg=0, invalid=762 0248: dt=0.384000, rms=0.525 (0.376%), neg=0, invalid=762 0249: dt=0.384000, rms=0.524 (0.278%), neg=0, invalid=762 0250: dt=0.448000, rms=0.522 (0.247%), neg=0, invalid=762 0251: dt=0.448000, rms=0.521 (0.199%), neg=0, invalid=762 0252: dt=0.448000, rms=0.521 (0.145%), neg=0, invalid=762 0253: dt=0.448000, rms=0.520 (0.133%), neg=0, invalid=762 0254: dt=0.448000, rms=0.519 (0.095%), neg=0, invalid=762 0255: dt=0.448000, rms=0.519 (0.098%), neg=0, invalid=762 0256: dt=0.448000, rms=0.519 (0.064%), neg=0, invalid=762 0257: dt=0.448000, rms=0.518 (0.075%), neg=0, invalid=762 0258: dt=0.448000, rms=0.518 (0.043%), neg=0, invalid=762 0259: dt=0.448000, rms=0.518 (0.061%), neg=0, invalid=762 0260: dt=0.448000, rms=0.517 (0.076%), neg=0, invalid=762 0261: dt=0.224000, rms=0.517 (0.023%), neg=0, invalid=762 0262: dt=0.224000, rms=0.517 (0.036%), neg=0, invalid=762 0263: dt=0.224000, rms=0.517 (0.020%), neg=0, invalid=762 0264: dt=0.224000, rms=0.517 (0.022%), neg=0, invalid=762 0265: dt=0.224000, rms=0.517 (0.034%), neg=0, invalid=762 0266: dt=0.224000, rms=0.516 (0.045%), neg=0, invalid=762 0267: dt=0.224000, rms=0.516 (0.047%), neg=0, invalid=762 0268: dt=0.224000, rms=0.516 (0.046%), neg=0, invalid=762 0269: dt=0.224000, rms=0.516 (0.005%), neg=0, invalid=762 0270: dt=0.224000, rms=0.516 (0.010%), neg=0, invalid=762 0271: dt=0.224000, rms=0.516 (0.001%), neg=0, invalid=762 0272: dt=0.320000, rms=0.516 (0.010%), neg=0, invalid=762 0273: dt=0.384000, rms=0.516 (0.007%), neg=0, invalid=762 0274: dt=0.384000, rms=0.516 (0.002%), neg=0, invalid=762 0275: dt=0.384000, rms=0.516 (0.009%), neg=0, invalid=762 0276: dt=0.384000, rms=0.516 (0.013%), neg=0, invalid=762 0277: dt=0.384000, rms=0.515 (0.013%), neg=0, invalid=762 0278: dt=0.384000, rms=0.515 (0.002%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.516, neg=0, invalid=762 0279: dt=0.384000, rms=0.511 (0.980%), neg=0, invalid=762 0280: dt=0.448000, rms=0.510 (0.183%), neg=0, invalid=762 0281: dt=0.384000, rms=0.510 (0.013%), neg=0, invalid=762 0282: dt=0.384000, rms=0.510 (-0.011%), neg=0, invalid=762 label assignment complete, 0 changed (0.00%) ********************* ALLOWING NEGATIVE NODES IN DEFORMATION******************************** **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.008 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.508, neg=0, invalid=762 0283: dt=0.000000, rms=0.507 (0.167%), neg=0, invalid=762 0284: dt=0.000000, rms=0.507 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.508, neg=0, invalid=762 0285: dt=110.976000, rms=0.507 (0.191%), neg=0, invalid=762 0286: dt=73.984000, rms=0.507 (0.011%), neg=0, invalid=762 0287: dt=73.984000, rms=0.507 (0.006%), neg=0, invalid=762 0288: dt=73.984000, rms=0.507 (0.007%), neg=0, invalid=762 0289: dt=73.984000, rms=0.507 (0.010%), neg=0, invalid=762 0290: dt=73.984000, rms=0.507 (0.013%), neg=0, invalid=762 0291: dt=73.984000, rms=0.507 (0.005%), neg=0, invalid=762 0292: dt=73.984000, rms=0.507 (0.005%), neg=0, invalid=762 0293: dt=73.984000, rms=0.507 (0.010%), neg=0, invalid=762 0294: dt=73.984000, rms=0.507 (0.014%), neg=0, invalid=762 0295: dt=73.984000, rms=0.507 (0.009%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.508, neg=0, invalid=762 0296: dt=20.736000, rms=0.507 (0.207%), neg=0, invalid=762 0297: dt=9.072000, rms=0.507 (0.008%), neg=0, invalid=762 0298: dt=9.072000, rms=0.507 (0.005%), neg=0, invalid=762 0299: dt=9.072000, rms=0.507 (0.003%), neg=0, invalid=762 0300: dt=9.072000, rms=0.507 (-0.013%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.507, neg=0, invalid=762 0301: dt=93.906542, rms=0.505 (0.529%), neg=0, invalid=762 0302: dt=36.288000, rms=0.504 (0.182%), neg=0, invalid=762 0303: dt=36.288000, rms=0.504 (0.063%), neg=0, invalid=762 0304: dt=36.288000, rms=0.503 (0.110%), neg=0, invalid=762 0305: dt=36.288000, rms=0.502 (0.199%), neg=0, invalid=762 0306: dt=36.288000, rms=0.501 (0.170%), neg=0, invalid=762 0307: dt=36.288000, rms=0.500 (0.199%), neg=0, invalid=762 0308: dt=36.288000, rms=0.499 (0.144%), neg=0, invalid=762 0309: dt=36.288000, rms=0.499 (0.170%), neg=0, invalid=762 0310: dt=36.288000, rms=0.498 (0.143%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 1 iterations, nbhd size=0, neg = 0 0311: dt=36.288000, rms=0.497 (0.116%), neg=0, invalid=762 0312: dt=36.288000, rms=0.497 (0.112%), neg=0, invalid=762 0313: dt=36.288000, rms=0.497 (0.028%), neg=0, invalid=762 0314: dt=36.288000, rms=0.497 (0.014%), neg=0, invalid=762 0315: dt=36.288000, rms=0.496 (0.023%), neg=0, invalid=762 0316: dt=36.288000, rms=0.496 (0.048%), neg=0, invalid=762 0317: dt=36.288000, rms=0.496 (0.048%), neg=0, invalid=762 0318: dt=36.288000, rms=0.496 (0.044%), neg=0, invalid=762 0319: dt=36.288000, rms=0.496 (0.040%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.497, neg=0, invalid=762 iter 0, gcam->neg = 6 after 1 iterations, nbhd size=0, neg = 0 0320: dt=44.800000, rms=0.492 (0.986%), neg=0, invalid=762 iter 0, gcam->neg = 9 after 14 iterations, nbhd size=1, neg = 0 0321: dt=52.837209, rms=0.489 (0.684%), neg=0, invalid=762 0322: dt=25.600000, rms=0.486 (0.511%), neg=0, invalid=762 iter 0, gcam->neg = 13 after 3 iterations, nbhd size=0, neg = 0 0323: dt=32.000000, rms=0.485 (0.218%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 3 iterations, nbhd size=0, neg = 0 0324: dt=32.000000, rms=0.484 (0.190%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 6 iterations, nbhd size=0, neg = 0 0325: dt=32.000000, rms=0.482 (0.380%), neg=0, invalid=762 iter 0, gcam->neg = 25 after 3 iterations, nbhd size=0, neg = 0 0326: dt=32.000000, rms=0.481 (0.312%), neg=0, invalid=762 iter 0, gcam->neg = 25 after 14 iterations, nbhd size=1, neg = 0 0327: dt=32.000000, rms=0.479 (0.440%), neg=0, invalid=762 iter 0, gcam->neg = 21 after 13 iterations, nbhd size=1, neg = 0 0328: dt=32.000000, rms=0.477 (0.272%), neg=0, invalid=762 iter 0, gcam->neg = 35 after 11 iterations, nbhd size=0, neg = 0 0329: dt=32.000000, rms=0.476 (0.303%), neg=0, invalid=762 iter 0, gcam->neg = 57 after 17 iterations, nbhd size=1, neg = 0 0330: dt=32.000000, rms=0.475 (0.145%), neg=0, invalid=762 iter 0, gcam->neg = 36 after 15 iterations, nbhd size=1, neg = 0 0331: dt=32.000000, rms=0.474 (0.250%), neg=0, invalid=762 iter 0, gcam->neg = 18 after 14 iterations, nbhd size=1, neg = 0 0332: dt=32.000000, rms=0.473 (0.196%), neg=0, invalid=762 iter 0, gcam->neg = 18 after 7 iterations, nbhd size=0, neg = 0 0333: dt=32.000000, rms=0.472 (0.177%), neg=0, invalid=762 iter 0, gcam->neg = 24 after 14 iterations, nbhd size=1, neg = 0 0334: dt=32.000000, rms=0.472 (0.111%), neg=0, invalid=762 iter 0, gcam->neg = 20 after 12 iterations, nbhd size=1, neg = 0 0335: dt=32.000000, rms=0.471 (0.126%), neg=0, invalid=762 iter 0, gcam->neg = 32 after 9 iterations, nbhd size=0, neg = 0 0336: dt=32.000000, rms=0.470 (0.146%), neg=0, invalid=762 iter 0, gcam->neg = 53 after 11 iterations, nbhd size=0, neg = 0 0337: dt=32.000000, rms=0.470 (0.107%), neg=0, invalid=762 iter 0, gcam->neg = 65 after 11 iterations, nbhd size=0, neg = 0 0338: dt=32.000000, rms=0.470 (0.052%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 1 iterations, nbhd size=0, neg = 0 0339: dt=25.600000, rms=0.469 (0.148%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 3 iterations, nbhd size=0, neg = 0 0340: dt=11.200000, rms=0.469 (0.051%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 3 iterations, nbhd size=0, neg = 0 0341: dt=11.200000, rms=0.469 (0.024%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 4 iterations, nbhd size=0, neg = 0 0342: dt=11.200000, rms=0.469 (0.032%), neg=0, invalid=762 iter 0, gcam->neg = 7 after 5 iterations, nbhd size=0, neg = 0 0343: dt=11.200000, rms=0.468 (0.035%), neg=0, invalid=762 iter 0, gcam->neg = 8 after 4 iterations, nbhd size=0, neg = 0 0344: dt=11.200000, rms=0.468 (0.029%), neg=0, invalid=762 iter 0, gcam->neg = 9 after 12 iterations, nbhd size=1, neg = 0 0345: dt=11.200000, rms=0.468 (0.015%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.469, neg=0, invalid=762 iter 0, gcam->neg = 3 after 4 iterations, nbhd size=0, neg = 0 0346: dt=44.800000, rms=0.465 (0.861%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 0 iterations, nbhd size=0, neg = 0 0347: dt=21.585799, rms=0.464 (0.194%), neg=0, invalid=762 0348: dt=21.585799, rms=0.464 (0.095%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 4 iterations, nbhd size=0, neg = 0 0349: dt=21.585799, rms=0.463 (0.165%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 4 iterations, nbhd size=0, neg = 0 0350: dt=21.585799, rms=0.462 (0.168%), neg=0, invalid=762 0351: dt=21.585799, rms=0.462 (0.122%), neg=0, invalid=762 iter 0, gcam->neg = 6 after 4 iterations, nbhd size=0, neg = 0 0352: dt=21.585799, rms=0.461 (0.034%), neg=0, invalid=762 0353: dt=11.200000, rms=0.461 (0.080%), neg=0, invalid=762 0354: dt=44.800000, rms=0.461 (0.059%), neg=0, invalid=762 0355: dt=44.800000, rms=0.461 (-0.075%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.471, neg=0, invalid=762 0356: dt=1.008000, rms=0.470 (0.244%), neg=0, invalid=762 0357: dt=0.180000, rms=0.470 (-0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.471, neg=0, invalid=762 0358: dt=1.728000, rms=0.470 (0.247%), neg=0, invalid=762 0359: dt=0.864000, rms=0.470 (0.002%), neg=0, invalid=762 0360: dt=0.864000, rms=0.470 (0.000%), neg=0, invalid=762 0361: dt=0.864000, rms=0.470 (-0.019%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.487, neg=0, invalid=762 0362: dt=1.280000, rms=0.485 (0.494%), neg=0, invalid=762 0363: dt=0.256000, rms=0.485 (0.006%), neg=0, invalid=762 0364: dt=0.256000, rms=0.485 (-0.005%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.486, neg=0, invalid=762 0365: dt=1.024000, rms=0.484 (0.319%), neg=0, invalid=762 0366: dt=0.448000, rms=0.484 (0.020%), neg=0, invalid=762 0367: dt=0.448000, rms=0.484 (-0.003%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.471, neg=0, invalid=762 iter 0, gcam->neg = 1212 after 18 iterations, nbhd size=1, neg = 0 0368: dt=2.334014, rms=0.433 (8.166%), neg=0, invalid=762 0369: dt=0.064000, rms=0.432 (0.034%), neg=0, invalid=762 0370: dt=0.064000, rms=0.432 (-0.032%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.434, neg=0, invalid=762 0371: dt=0.080000, rms=0.432 (0.302%), neg=0, invalid=762 0372: dt=0.000000, rms=0.432 (0.007%), neg=0, invalid=762 0373: dt=0.050000, rms=0.432 (-0.025%), neg=0, invalid=762 label assignment complete, 0 changed (0.00%) label assignment complete, 0 changed (0.00%) ***************** morphing with label term set to 0 ******************************* **************** pass 1 of 1 ************************ enabling zero nodes setting smoothness coefficient to 0.008 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.415, neg=0, invalid=762 0374: dt=0.000000, rms=0.415 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.415, neg=0, invalid=762 0375: dt=73.984000, rms=0.415 (0.016%), neg=0, invalid=762 0376: dt=129.472000, rms=0.415 (0.008%), neg=0, invalid=762 0377: dt=129.472000, rms=0.415 (-0.004%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.415, neg=0, invalid=762 0378: dt=0.000000, rms=0.415 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.415, neg=0, invalid=762 0379: dt=82.944000, rms=0.415 (0.052%), neg=0, invalid=762 0380: dt=145.152000, rms=0.415 (0.074%), neg=0, invalid=762 0381: dt=31.104000, rms=0.415 (0.012%), neg=0, invalid=762 0382: dt=31.104000, rms=0.415 (0.008%), neg=0, invalid=762 0383: dt=31.104000, rms=0.415 (0.014%), neg=0, invalid=762 0384: dt=31.104000, rms=0.415 (0.020%), neg=0, invalid=762 0385: dt=31.104000, rms=0.415 (0.025%), neg=0, invalid=762 0386: dt=31.104000, rms=0.414 (0.027%), neg=0, invalid=762 0387: dt=31.104000, rms=0.414 (0.024%), neg=0, invalid=762 0388: dt=31.104000, rms=0.414 (0.020%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.415, neg=0, invalid=762 0389: dt=11.200000, rms=0.415 (0.114%), neg=0, invalid=762 0390: dt=11.200000, rms=0.414 (0.059%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 6 iterations, nbhd size=1, neg = 0 0391: dt=11.200000, rms=0.414 (0.030%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0392: dt=11.200000, rms=0.414 (0.018%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 0 iterations, nbhd size=0, neg = 0 0393: dt=11.200000, rms=0.414 (-0.049%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.414, neg=0, invalid=762 0394: dt=54.054054, rms=0.411 (0.695%), neg=0, invalid=762 0395: dt=32.000000, rms=0.410 (0.254%), neg=0, invalid=762 0396: dt=44.800000, rms=0.410 (0.163%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0397: dt=44.800000, rms=0.409 (0.048%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 8 iterations, nbhd size=1, neg = 0 0398: dt=44.800000, rms=0.408 (0.332%), neg=0, invalid=762 iter 0, gcam->neg = 7 after 9 iterations, nbhd size=1, neg = 0 0399: dt=44.800000, rms=0.407 (0.230%), neg=0, invalid=762 iter 0, gcam->neg = 17 after 1 iterations, nbhd size=0, neg = 0 0400: dt=44.800000, rms=0.406 (0.202%), neg=0, invalid=762 iter 0, gcam->neg = 14 after 3 iterations, nbhd size=0, neg = 0 0401: dt=44.800000, rms=0.405 (0.248%), neg=0, invalid=762 iter 0, gcam->neg = 13 after 10 iterations, nbhd size=1, neg = 0 0402: dt=44.800000, rms=0.405 (0.154%), neg=0, invalid=762 iter 0, gcam->neg = 36 after 11 iterations, nbhd size=0, neg = 0 0403: dt=44.800000, rms=0.404 (0.127%), neg=0, invalid=762 iter 0, gcam->neg = 23 after 5 iterations, nbhd size=0, neg = 0 0404: dt=44.800000, rms=0.404 (0.140%), neg=0, invalid=762 iter 0, gcam->neg = 48 after 17 iterations, nbhd size=1, neg = 0 0405: dt=44.800000, rms=0.403 (0.069%), neg=0, invalid=762 iter 0, gcam->neg = 44 after 13 iterations, nbhd size=0, neg = 0 0406: dt=44.800000, rms=0.403 (-0.002%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 3 iterations, nbhd size=0, neg = 0 0407: dt=11.200000, rms=0.403 (0.025%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 2 iterations, nbhd size=0, neg = 0 0408: dt=25.600000, rms=0.403 (0.012%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.409, neg=0, invalid=762 0409: dt=1.008000, rms=0.408 (0.007%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0410: dt=0.720000, rms=0.408 (0.002%), neg=0, invalid=762 0411: dt=0.720000, rms=0.408 (-0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.408, neg=0, invalid=762 iter 0, gcam->neg = 3 after 2 iterations, nbhd size=0, neg = 0 0412: dt=2.880000, rms=0.408 (0.022%), neg=0, invalid=762 0413: dt=2.304000, rms=0.408 (0.008%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 4 iterations, nbhd size=0, neg = 0 0414: dt=2.304000, rms=0.408 (0.005%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 4 iterations, nbhd size=0, neg = 0 0415: dt=2.304000, rms=0.408 (-0.021%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.418, neg=0, invalid=762 0416: dt=0.000050, rms=0.418 (0.000%), neg=0, invalid=762 0417: dt=0.000000, rms=0.418 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.418, neg=0, invalid=762 0418: dt=0.000000, rms=0.418 (0.000%), neg=0, invalid=762 resetting metric properties... setting smoothness coefficient to 2.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.402, neg=0, invalid=762 iter 0, gcam->neg = 863 after 14 iterations, nbhd size=1, neg = 0 0419: dt=1.280000, rms=0.391 (2.798%), neg=0, invalid=762 0420: dt=0.000013, rms=0.391 (0.000%), neg=0, invalid=762 0421: dt=0.000013, rms=0.391 (0.000%), neg=0, invalid=762 0422: dt=0.000013, rms=0.391 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.391, neg=0, invalid=762 0423: dt=0.028000, rms=0.391 (0.011%), neg=0, invalid=762 0424: dt=0.028000, rms=0.391 (0.004%), neg=0, invalid=762 0425: dt=0.028000, rms=0.391 (-0.001%), neg=0, invalid=762 writing output transformation to transforms/talairach.m3z... GCAMwrite mri_ca_register took 5 hours, 19 minutes and 48 seconds. mri_ca_register utimesec 19169.559783 mri_ca_register stimesec 11.803205 mri_ca_register ru_maxrss 1338188 mri_ca_register ru_ixrss 0 mri_ca_register ru_idrss 0 mri_ca_register ru_isrss 0 mri_ca_register ru_minflt 4706656 mri_ca_register ru_majflt 0 mri_ca_register ru_nswap 0 mri_ca_register ru_inblock 0 mri_ca_register ru_oublock 62792 mri_ca_register ru_msgsnd 0 mri_ca_register ru_msgrcv 0 mri_ca_register ru_nsignals 0 mri_ca_register ru_nvcsw 1088 mri_ca_register ru_nivcsw 33317 FSRUNTIME@ mri_ca_register 5.3299 hours 1 threads @#@FSTIME 2017:01:19:04:12:49 mri_ca_register N 11 e 19187.83 S 11.81 U 19169.56 P 99% M 1338188 F 0 R 4706663 W 0 c 33318 w 1099 I 0 O 62800 L 5.17 5.05 4.92 @#@FSLOADPOST 2017:01:19:09:32:37 mri_ca_register N 11 5.00 5.00 5.00 #-------------------------------------- #@# SubCort Seg Thu Jan 19 09:32:37 EST 2017 mri_ca_label -relabel_unlikely 9 .3 -prior 0.5 -align norm.mgz transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca aseg.auto_noCCseg.mgz sysname Linux hostname compute-0-98 machine x86_64 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_ca_label -relabel_unlikely 9 .3 -prior 0.5 -align norm.mgz transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca aseg.auto_noCCseg.mgz == Number of threads available to mri_ca_label for OpenMP = 1 == relabeling unlikely voxels with window_size = 9 and prior threshold 0.30 using Gibbs prior factor = 0.500 renormalizing sequences with structure alignment, equivalent to: -renormalize -renormalize_mean 0.500 -regularize 0.500 reading 1 input volumes reading classifier array from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca reading input volume from norm.mgz average std[0] = 7.3 reading transform from transforms/talairach.m3z setting orig areas to linear transform determinant scaled 6.63 Atlas used for the 3D morph was /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca average std = 7.3 using min determinant for regularization = 5.3 0 singular and 0 ill-conditioned covariance matrices regularized labeling volume... renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.16259 (20) mri peak = 0.16297 ( 9) Left_Lateral_Ventricle (4): linear fit = 0.44 x + 0.0 (12708 voxels, overlap=0.005) Left_Lateral_Ventricle (4): linear fit = 0.44 x + 0.0 (12708 voxels, peak = 9), gca=8.9 gca peak = 0.17677 (13) mri peak = 0.17358 ( 9) Right_Lateral_Ventricle (43): linear fit = 0.43 x + 0.0 (9840 voxels, overlap=0.090) Right_Lateral_Ventricle (43): linear fit = 0.43 x + 0.0 (9840 voxels, peak = 6), gca=5.5 gca peak = 0.28129 (95) mri peak = 0.09012 (97) Right_Pallidum (52): linear fit = 1.02 x + 0.0 (582 voxels, overlap=1.015) Right_Pallidum (52): linear fit = 1.02 x + 0.0 (582 voxels, peak = 97), gca=97.4 gca peak = 0.16930 (96) mri peak = 0.07792 (93) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (511 voxels, overlap=1.014) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (511 voxels, peak = 96), gca=95.5 gca peak = 0.24553 (55) mri peak = 0.15968 (51) Right_Hippocampus (53): linear fit = 0.92 x + 0.0 (783 voxels, overlap=0.864) Right_Hippocampus (53): linear fit = 0.92 x + 0.0 (783 voxels, peak = 50), gca=50.3 gca peak = 0.30264 (59) mri peak = 0.09486 (56) Left_Hippocampus (17): linear fit = 0.96 x + 0.0 (701 voxels, overlap=1.009) Left_Hippocampus (17): linear fit = 0.96 x + 0.0 (701 voxels, peak = 57), gca=56.9 gca peak = 0.07580 (103) mri peak = 0.09847 (105) Right_Cerebral_White_Matter (41): linear fit = 1.02 x + 0.0 (34550 voxels, overlap=0.643) Right_Cerebral_White_Matter (41): linear fit = 1.02 x + 0.0 (34550 voxels, peak = 106), gca=105.6 gca peak = 0.07714 (104) mri peak = 0.09991 (107) Left_Cerebral_White_Matter (2): linear fit = 1.01 x + 0.0 (33152 voxels, overlap=0.659) Left_Cerebral_White_Matter (2): linear fit = 1.01 x + 0.0 (33152 voxels, peak = 106), gca=105.6 gca peak = 0.09712 (58) mri peak = 0.04053 (60) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (20521 voxels, overlap=0.988) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (20521 voxels, peak = 59), gca=59.4 gca peak = 0.11620 (58) mri peak = 0.04418 (63) Right_Cerebral_Cortex (42): linear fit = 1.04 x + 0.0 (19326 voxels, overlap=0.907) Right_Cerebral_Cortex (42): linear fit = 1.04 x + 0.0 (19326 voxels, peak = 61), gca=60.6 gca peak = 0.30970 (66) mri peak = 0.11293 (72) Right_Caudate (50): linear fit = 1.07 x + 0.0 (863 voxels, overlap=1.005) Right_Caudate (50): linear fit = 1.07 x + 0.0 (863 voxels, peak = 70), gca=70.3 gca peak = 0.15280 (69) mri peak = 0.11637 (70) Left_Caudate (11): linear fit = 0.93 x + 0.0 (755 voxels, overlap=0.704) Left_Caudate (11): linear fit = 0.93 x + 0.0 (755 voxels, peak = 64), gca=63.8 gca peak = 0.13902 (56) mri peak = 0.07004 (53) Left_Cerebellum_Cortex (8): linear fit = 0.93 x + 0.0 (18317 voxels, overlap=0.925) Left_Cerebellum_Cortex (8): linear fit = 0.93 x + 0.0 (18317 voxels, peak = 52), gca=51.8 gca peak = 0.14777 (55) mri peak = 0.09295 (51) Right_Cerebellum_Cortex (47): linear fit = 0.94 x + 0.0 (19051 voxels, overlap=0.951) Right_Cerebellum_Cortex (47): linear fit = 0.94 x + 0.0 (19051 voxels, peak = 52), gca=52.0 gca peak = 0.16765 (84) mri peak = 0.09863 (82) Left_Cerebellum_White_Matter (7): linear fit = 0.96 x + 0.0 (6938 voxels, overlap=0.905) Left_Cerebellum_White_Matter (7): linear fit = 0.96 x + 0.0 (6938 voxels, peak = 81), gca=81.1 gca peak = 0.18739 (84) mri peak = 0.11055 (83) Right_Cerebellum_White_Matter (46): linear fit = 0.98 x + 0.0 (6609 voxels, overlap=0.947) Right_Cerebellum_White_Matter (46): linear fit = 0.98 x + 0.0 (6609 voxels, peak = 82), gca=81.9 gca peak = 0.29869 (57) mri peak = 0.10818 (50) Left_Amygdala: unreasonable value (49.9/50.0), not in range [50, 90] - rejecting gca peak = 0.33601 (57) mri peak = 0.10134 (51) Right_Amygdala (54): linear fit = 0.93 x + 0.0 (555 voxels, overlap=1.021) Right_Amygdala (54): linear fit = 0.93 x + 0.0 (555 voxels, peak = 53), gca=52.7 gca peak = 0.11131 (90) mri peak = 0.06877 (86) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (3387 voxels, overlap=0.995) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (3387 voxels, peak = 88), gca=87.8 gca peak = 0.11793 (83) mri peak = 0.07859 (86) Right_Thalamus_Proper (49): linear fit = 1.01 x + 0.0 (3198 voxels, overlap=0.978) Right_Thalamus_Proper (49): linear fit = 1.01 x + 0.0 (3198 voxels, peak = 84), gca=84.2 gca peak = 0.08324 (81) mri peak = 0.06171 (76) Left_Putamen (12): linear fit = 0.96 x + 0.0 (1627 voxels, overlap=0.852) Left_Putamen (12): linear fit = 0.96 x + 0.0 (1627 voxels, peak = 78), gca=78.2 gca peak = 0.10360 (77) mri peak = 0.07192 (72) Right_Putamen (51): linear fit = 0.98 x + 0.0 (1895 voxels, overlap=0.996) Right_Putamen (51): linear fit = 0.98 x + 0.0 (1895 voxels, peak = 75), gca=75.1 gca peak = 0.08424 (78) mri peak = 0.09552 (81) Brain_Stem (16): linear fit = 1.05 x + 0.0 (12333 voxels, overlap=0.476) Brain_Stem (16): linear fit = 1.05 x + 0.0 (12333 voxels, peak = 82), gca=82.3 gca peak = 0.12631 (89) mri peak = 0.07302 (98) Right_VentralDC (60): linear fit = 1.10 x + 0.0 (1300 voxels, overlap=0.742) Right_VentralDC (60): linear fit = 1.10 x + 0.0 (1300 voxels, peak = 97), gca=97.5 gca peak = 0.14500 (87) mri peak = 0.06598 (96) Left_VentralDC (28): linear fit = 1.08 x + 0.0 (1286 voxels, overlap=0.701) Left_VentralDC (28): linear fit = 1.08 x + 0.0 (1286 voxels, peak = 94), gca=93.5 gca peak = 0.14975 (24) mri peak = 0.12871 ( 9) Third_Ventricle (14): linear fit = 0.38 x + 0.0 (201 voxels, overlap=0.052) Third_Ventricle (14): linear fit = 0.38 x + 0.0 (201 voxels, peak = 9), gca=9.0 gca peak = 0.19357 (14) mri peak = 0.15327 ( 6) Fourth_Ventricle (15): linear fit = 0.37 x + 0.0 (607 voxels, overlap=0.023) Fourth_Ventricle (15): linear fit = 0.37 x + 0.0 (607 voxels, peak = 5), gca=5.1 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.16825 (27) gca peak Left_Thalamus = 1.00000 (94) gca peak Third_Ventricle = 0.14975 (24) gca peak Fourth_Ventricle = 0.19357 (14) gca peak Left_Amygdala = 0.29869 (57) gca peak CSF = 0.23379 (36) gca peak Left_Accumbens_area = 0.70037 (62) gca peak Left_undetermined = 1.00000 (26) gca peak Left_vessel = 0.75997 (52) gca peak Left_choroid_plexus = 0.12089 (35) gca peak Right_Inf_Lat_Vent = 0.24655 (23) gca peak Right_Accumbens_area = 0.45042 (65) gca peak Right_vessel = 0.82168 (52) gca peak Right_choroid_plexus = 0.14516 (37) gca peak Fifth_Ventricle = 0.65475 (32) gca peak WM_hypointensities = 0.07854 (76) gca peak non_WM_hypointensities = 0.08491 (43) gca peak Optic_Chiasm = 0.71127 (75) not using caudate to estimate GM means setting label Left_Amygdala based on Right_Amygdala = 0.93 x + 0: 53 estimating mean gm scale to be 0.97 x + 0.0 estimating mean wm scale to be 1.02 x + 0.0 estimating mean csf scale to be 0.44 x + 0.0 saving intensity scales to aseg.auto_noCCseg.label_intensities.txt renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.29477 ( 9) mri peak = 0.16297 ( 9) Left_Lateral_Ventricle (4): linear fit = 1.05 x + 0.0 (12708 voxels, overlap=0.958) Left_Lateral_Ventricle (4): linear fit = 1.05 x + 0.0 (12708 voxels, peak = 9), gca=9.5 gca peak = 0.29009 ( 6) mri peak = 0.17358 ( 9) Right_Lateral_Ventricle (43): linear fit = 1.25 x + 0.0 (9840 voxels, overlap=0.978) Right_Lateral_Ventricle (43): linear fit = 1.25 x + 0.0 (9840 voxels, peak = 8), gca=7.5 gca peak = 0.26998 (98) mri peak = 0.09012 (97) Right_Pallidum (52): linear fit = 1.00 x + 0.0 (582 voxels, overlap=0.990) Right_Pallidum (52): linear fit = 1.00 x + 0.0 (582 voxels, peak = 98), gca=98.5 gca peak = 0.18390 (96) mri peak = 0.07792 (93) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (511 voxels, overlap=1.011) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (511 voxels, peak = 97), gca=97.4 gca peak = 0.30498 (51) mri peak = 0.15968 (51) Right_Hippocampus: unreasonable value (49.7/51.0), not in range [50, 90] - rejecting gca peak = 0.30833 (57) mri peak = 0.09486 (56) Left_Hippocampus (17): linear fit = 1.00 x + 0.0 (701 voxels, overlap=1.005) Left_Hippocampus (17): linear fit = 1.00 x + 0.0 (701 voxels, peak = 57), gca=57.0 gca peak = 0.07610 (105) mri peak = 0.09847 (105) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (34550 voxels, overlap=0.755) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (34550 voxels, peak = 104), gca=104.5 gca peak = 0.07820 (106) mri peak = 0.09991 (107) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (33152 voxels, overlap=0.724) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (33152 voxels, peak = 106), gca=106.0 gca peak = 0.09502 (59) mri peak = 0.04053 (60) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (20521 voxels, overlap=0.993) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (20521 voxels, peak = 60), gca=60.5 gca peak = 0.11313 (61) mri peak = 0.04418 (63) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (19326 voxels, overlap=0.962) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (19326 voxels, peak = 63), gca=62.5 gca peak = 0.26194 (71) mri peak = 0.11293 (72) Right_Caudate (50): linear fit = 0.99 x + 0.0 (863 voxels, overlap=1.003) Right_Caudate (50): linear fit = 0.99 x + 0.0 (863 voxels, peak = 70), gca=69.9 gca peak = 0.13199 (64) mri peak = 0.11637 (70) Left_Caudate (11): linear fit = 1.01 x + 0.0 (755 voxels, overlap=0.997) Left_Caudate (11): linear fit = 1.01 x + 0.0 (755 voxels, peak = 65), gca=65.0 gca peak = 0.15091 (52) mri peak = 0.07004 (53) Left_Cerebellum_Cortex (8): linear fit = 1.00 x + 0.0 (18317 voxels, overlap=0.997) Left_Cerebellum_Cortex (8): linear fit = 1.00 x + 0.0 (18317 voxels, peak = 52), gca=52.0 gca peak = 0.15470 (52) mri peak = 0.09295 (51) Right_Cerebellum_Cortex (47): linear fit = 0.98 x + 0.0 (19051 voxels, overlap=0.995) Right_Cerebellum_Cortex (47): linear fit = 0.98 x + 0.0 (19051 voxels, peak = 51), gca=50.7 gca peak = 0.17048 (81) mri peak = 0.09863 (82) Left_Cerebellum_White_Matter (7): linear fit = 0.99 x + 0.0 (6938 voxels, overlap=0.965) Left_Cerebellum_White_Matter (7): linear fit = 0.99 x + 0.0 (6938 voxels, peak = 80), gca=79.8 gca peak = 0.18659 (82) mri peak = 0.11055 (83) Right_Cerebellum_White_Matter (46): linear fit = 1.00 x + 0.0 (6609 voxels, overlap=0.944) Right_Cerebellum_White_Matter (46): linear fit = 1.00 x + 0.0 (6609 voxels, peak = 82), gca=82.0 gca peak = 0.35869 (54) mri peak = 0.10818 (50) Left_Amygdala (18): linear fit = 0.96 x + 0.0 (431 voxels, overlap=1.004) Left_Amygdala (18): linear fit = 0.96 x + 0.0 (431 voxels, peak = 52), gca=52.1 gca peak = 0.45390 (53) mri peak = 0.10134 (51) Right_Amygdala (54): linear fit = 1.09 x + 0.0 (555 voxels, overlap=1.010) Right_Amygdala (54): linear fit = 1.09 x + 0.0 (555 voxels, peak = 58), gca=57.5 gca peak = 0.11039 (86) mri peak = 0.06877 (86) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (3387 voxels, overlap=0.994) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (3387 voxels, peak = 86), gca=85.6 gca peak = 0.10950 (82) mri peak = 0.07859 (86) Right_Thalamus_Proper (49): linear fit = 0.99 x + 0.0 (3198 voxels, overlap=0.991) Right_Thalamus_Proper (49): linear fit = 0.99 x + 0.0 (3198 voxels, peak = 81), gca=80.8 gca peak = 0.08891 (78) mri peak = 0.06171 (76) Left_Putamen (12): linear fit = 1.01 x + 0.0 (1627 voxels, overlap=0.917) Left_Putamen (12): linear fit = 1.01 x + 0.0 (1627 voxels, peak = 79), gca=79.2 gca peak = 0.10523 (75) mri peak = 0.07192 (72) Right_Putamen (51): linear fit = 1.00 x + 0.0 (1895 voxels, overlap=0.950) Right_Putamen (51): linear fit = 1.00 x + 0.0 (1895 voxels, peak = 75), gca=75.0 gca peak = 0.07607 (85) mri peak = 0.09552 (81) Brain_Stem (16): linear fit = 1.00 x + 0.0 (12333 voxels, overlap=0.703) Brain_Stem (16): linear fit = 1.00 x + 0.0 (12333 voxels, peak = 85), gca=84.6 gca peak = 0.11348 (96) mri peak = 0.07302 (98) Right_VentralDC (60): linear fit = 0.99 x + 0.0 (1300 voxels, overlap=0.868) Right_VentralDC (60): linear fit = 0.99 x + 0.0 (1300 voxels, peak = 95), gca=94.6 gca peak = 0.16435 (92) mri peak = 0.06598 (96) Left_VentralDC (28): linear fit = 1.02 x + 0.0 (1286 voxels, overlap=0.918) Left_VentralDC (28): linear fit = 1.02 x + 0.0 (1286 voxels, peak = 94), gca=94.3 gca peak = 0.31950 (11) mri peak = 0.12871 ( 9) Third_Ventricle (14): linear fit = 0.93 x + 0.0 (201 voxels, overlap=1.005) Third_Ventricle (14): linear fit = 0.93 x + 0.0 (201 voxels, peak = 10), gca=10.2 gca peak = 0.32090 ( 7) mri peak = 0.15327 ( 6) Fourth_Ventricle (15): linear fit = 0.71 x + 0.0 (607 voxels, overlap=0.887) Fourth_Ventricle (15): linear fit = 0.71 x + 0.0 (607 voxels, peak = 5), gca=5.0 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.19172 (26) gca peak Left_Thalamus = 1.00000 (91) gca peak CSF = 0.35443 (16) gca peak Left_Accumbens_area = 0.55387 (58) gca peak Left_undetermined = 1.00000 (26) gca peak Left_vessel = 0.75965 (52) gca peak Left_choroid_plexus = 0.12089 (35) gca peak Right_Inf_Lat_Vent = 0.23138 (21) gca peak Right_Hippocampus = 0.30498 (51) gca peak Right_Accumbens_area = 0.29938 (69) gca peak Right_vessel = 0.82109 (52) gca peak Right_choroid_plexus = 0.14516 (37) gca peak Fifth_Ventricle = 0.92354 (14) gca peak WM_hypointensities = 0.07145 (78) gca peak non_WM_hypointensities = 0.08683 (44) gca peak Optic_Chiasm = 0.70869 (75) not using caudate to estimate GM means setting label Right_Hippocampus based on Left_Hippocampus = 1.00 x + 0: 57 estimating mean gm scale to be 1.02 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 0.99 x + 0.0 saving intensity scales to aseg.auto_noCCseg.label_intensities.txt saving sequentially combined intensity scales to aseg.auto_noCCseg.label_intensities.txt 67110 voxels changed in iteration 0 of unlikely voxel relabeling 209 voxels changed in iteration 1 of unlikely voxel relabeling 0 voxels changed in iteration 2 of unlikely voxel relabeling 36408 gm and wm labels changed (%28 to gray, %72 to white out of all changed labels) 398 hippocampal voxels changed. 0 amygdala voxels changed. pass 1: 72314 changed. image ll: -2.116, PF=0.500 pass 2: 20509 changed. image ll: -2.115, PF=0.500 pass 3: 6378 changed. pass 4: 2202 changed. 44341 voxels changed in iteration 0 of unlikely voxel relabeling 382 voxels changed in iteration 1 of unlikely voxel relabeling 7 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 7932 voxels changed in iteration 0 of unlikely voxel relabeling 134 voxels changed in iteration 1 of unlikely voxel relabeling 0 voxels changed in iteration 2 of unlikely voxel relabeling 7215 voxels changed in iteration 0 of unlikely voxel relabeling 77 voxels changed in iteration 1 of unlikely voxel relabeling 12 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 5490 voxels changed in iteration 0 of unlikely voxel relabeling 15 voxels changed in iteration 1 of unlikely voxel relabeling 0 voxels changed in iteration 2 of unlikely voxel relabeling MRItoUCHAR: min=0, max=85 MRItoUCHAR: converting to UCHAR writing labeled volume to aseg.auto_noCCseg.mgz mri_ca_label utimesec 4303.072833 mri_ca_label stimesec 2.155672 mri_ca_label ru_maxrss 2117288 mri_ca_label ru_ixrss 0 mri_ca_label ru_idrss 0 mri_ca_label ru_isrss 0 mri_ca_label ru_minflt 745072 mri_ca_label ru_majflt 0 mri_ca_label ru_nswap 0 mri_ca_label ru_inblock 0 mri_ca_label ru_oublock 504 mri_ca_label ru_msgsnd 0 mri_ca_label ru_msgrcv 0 mri_ca_label ru_nsignals 0 mri_ca_label ru_nvcsw 64 mri_ca_label ru_nivcsw 8849 auto-labeling took 71 minutes and 46 seconds. @#@FSTIME 2017:01:19:09:32:37 mri_ca_label N 10 e 4306.66 S 2.31 U 4303.07 P 99% M 2117288 F 0 R 745076 W 0 c 8851 w 65 I 0 O 504 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:44:23 mri_ca_label N 10 5.06 5.01 5.00 mri_cc -aseg aseg.auto_noCCseg.mgz -o aseg.auto.mgz -lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/transforms/cc_up.lta 111 will read input aseg from aseg.auto_noCCseg.mgz writing aseg with cc labels to aseg.auto.mgz will write lta as /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/transforms/cc_up.lta reading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aseg.auto_noCCseg.mgz reading norm from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/norm.mgz 17016 voxels in left wm, 27543 in right wm, xrange [125, 131] searching rotation angles z=[-8 6], y=[-7 7] searching scale 1 Z rot -7.6 searching scale 1 Z rot -7.4 searching scale 1 Z rot -7.1 searching scale 1 Z rot -6.9 searching scale 1 Z rot -6.6 searching scale 1 Z rot -6.4 searching scale 1 Z rot -6.1 searching scale 1 Z rot -5.9 searching scale 1 Z rot -5.6 searching scale 1 Z rot -5.4 searching scale 1 Z rot -5.1 searching scale 1 Z rot -4.9 searching scale 1 Z rot -4.6 searching scale 1 Z rot -4.4 searching scale 1 Z rot -4.1 searching scale 1 Z rot -3.9 searching scale 1 Z rot -3.6 searching scale 1 Z rot -3.4 searching scale 1 Z rot -3.1 searching scale 1 Z rot -2.9 searching scale 1 Z rot -2.6 searching scale 1 Z rot -2.4 searching scale 1 Z rot -2.1 searching scale 1 Z rot -1.9 searching scale 1 Z rot -1.6 searching scale 1 Z rot -1.4 searching scale 1 Z rot -1.1 searching scale 1 Z rot -0.9 searching scale 1 Z rot -0.6 searching scale 1 Z rot -0.4 searching scale 1 Z rot -0.1 searching scale 1 Z rot 0.1 searching scale 1 Z rot 0.4 searching scale 1 Z rot 0.6 searching scale 1 Z rot 0.9 searching scale 1 Z rot 1.1 searching scale 1 Z rot 1.4 searching scale 1 Z rot 1.6 searching scale 1 Z rot 1.9 searching scale 1 Z rot 2.1 searching scale 1 Z rot 2.4 searching scale 1 Z rot 2.6 searching scale 1 Z rot 2.9 searching scale 1 Z rot 3.1 searching scale 1 Z rot 3.4 searching scale 1 Z rot 3.6 searching scale 1 Z rot 3.9 searching scale 1 Z rot 4.1 searching scale 1 Z rot 4.4 searching scale 1 Z rot 4.6 searching scale 1 Z rot 4.9 searching scale 1 Z rot 5.1 searching scale 1 Z rot 5.4 searching scale 1 Z rot 5.6 searching scale 1 Z rot 5.9 global minimum found at slice 128.0, rotations (0.71, -0.87) final transformation (x=128.0, yr=0.707, zr=-0.866): 0.99981 0.01512 0.01233 -2.73178; -0.01512 0.99989 -0.00019 25.96458; -0.01233 -0.00000 0.99992 33.58616; 0.00000 0.00000 0.00000 1.00000; updating x range to be [126, 131] in xformed coordinates best xformed slice 128 cc center is found at 128 104 96 eigenvectors: 0.00120 0.00258 1.00000; -0.13882 -0.99031 0.00272; 0.99032 -0.13882 -0.00083; error in mid anterior detected - correcting... writing aseg with callosum to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aseg.auto.mgz... corpus callosum segmentation took 0.7 minutes @#@FSTIME 2017:01:19:10:44:24 mri_cc N 7 e 43.79 S 0.14 U 43.39 P 99% M 141912 F 12 R 49370 W 0 c 301 w 76 I 10024 O 488 L 5.06 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:45:07 mri_cc N 7 5.03 5.01 5.00 #-------------------------------------- #@# Merge ASeg Thu Jan 19 10:45:07 EST 2017 cp aseg.auto.mgz aseg.presurf.mgz #-------------------------------------------- #@# Intensity Normalization2 Thu Jan 19 10:45:07 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_normalize -mprage -aseg aseg.presurf.mgz -mask brainmask.mgz norm.mgz brain.mgz assuming input volume is MGH (Van der Kouwe) MP-RAGE using segmentation for initial intensity normalization using MR volume brainmask.mgz to mask input volume... reading from norm.mgz... Reading aseg aseg.presurf.mgz normalizing image... processing with aseg removing outliers in the aseg WM... 908 control points removed Building bias image building Voronoi diagram... performing soap bubble smoothing, sigma = 0... Smoothing with sigma 8 Applying bias correction building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Iterating 2 times --------------------------------- 3d normalization pass 1 of 2 white matter peak found at 110 white matter peak found at 109 gm peak at 59 (59), valley at 19 (19) csf peak at 30, setting threshold to 49 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 110 white matter peak found at 110 gm peak at 61 (61), valley at 19 (19) csf peak at 31, setting threshold to 51 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to brain.mgz 3D bias adjustment took 4 minutes and 3 seconds. @#@FSTIME 2017:01:19:10:45:08 mri_normalize N 7 e 248.13 S 1.62 U 246.20 P 99% M 1109696 F 0 R 595437 W 0 c 465 w 108 I 0 O 2632 L 5.03 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:49:16 mri_normalize N 7 5.00 5.00 5.00 #-------------------------------------------- #@# Mask BFS Thu Jan 19 10:49:16 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_mask -T 5 brain.mgz brainmask.mgz brain.finalsurfs.mgz threshold mask volume at 5 DoAbs = 0 Found 1550993 voxels in mask (pct= 9.24) Writing masked volume to brain.finalsurfs.mgz...done. @#@FSTIME 2017:01:19:10:49:16 mri_mask N 5 e 2.54 S 0.05 U 2.20 P 88% M 71896 F 12 R 18796 W 0 c 209 w 117 I 10008 O 2608 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:49:18 mri_mask N 5 5.00 5.00 5.00 #-------------------------------------------- #@# WM Segmentation Thu Jan 19 10:49:19 EST 2017 mri_segment -mprage brain.mgz wm.seg.mgz doing initial intensity segmentation... using local statistics to label ambiguous voxels... computing class statistics for intensity windows... WM (105.0): 106.1 +- 5.2 [79.0 --> 125.0] GM (69.0) : 67.5 +- 10.0 [30.0 --> 95.0] setting bottom of white matter range to 77.5 setting top of gray matter range to 87.6 doing initial intensity segmentation... using local statistics to label ambiguous voxels... using local geometry to label remaining ambiguous voxels... reclassifying voxels using Gaussian border classifier... removing voxels with positive offset direction... smoothing T1 volume with sigma = 0.250 removing 1-dimensional structures... 5079 sparsely connected voxels removed... thickening thin strands.... 20 segments, 4619 filled 2140 bright non-wm voxels segmented. 3206 diagonally connected voxels added... white matter segmentation took 1.6 minutes writing output to wm.seg.mgz... assuming input volume is MGH (Van der Kouwe) MP-RAGE @#@FSTIME 2017:01:19:10:49:19 mri_segment N 3 e 99.12 S 0.63 U 98.33 P 99% M 157652 F 0 R 245979 W 0 c 189 w 48 I 0 O 912 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:50:58 mri_segment N 3 5.00 5.00 5.00 mri_edit_wm_with_aseg -keep-in wm.seg.mgz brain.mgz aseg.presurf.mgz wm.asegedit.mgz preserving editing changes in input volume... auto filling took 0.62 minutes reading wm segmentation from wm.seg.mgz... 103 voxels added to wm to prevent paths from MTL structures to cortex 4752 additional wm voxels added 0 additional wm voxels added SEG EDIT: 110776 voxels turned on, 31609 voxels turned off. propagating editing to output volume from wm.seg.mgz 115,126,128 old 110 new 110 115,126,128 old 110 new 110 writing edited volume to wm.asegedit.mgz.... @#@FSTIME 2017:01:19:10:50:58 mri_edit_wm_with_aseg N 5 e 37.41 S 0.21 U 36.82 P 98% M 156708 F 12 R 85603 W 0 c 233 w 111 I 10000 O 856 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:51:35 mri_edit_wm_with_aseg N 5 5.04 5.01 5.00 mri_pretess wm.asegedit.mgz wm norm.mgz wm.mgz Iteration Number : 1 pass 1 (xy+): 37 found - 37 modified | TOTAL: 37 pass 2 (xy+): 0 found - 37 modified | TOTAL: 37 pass 1 (xy-): 27 found - 27 modified | TOTAL: 64 pass 2 (xy-): 0 found - 27 modified | TOTAL: 64 pass 1 (yz+): 37 found - 37 modified | TOTAL: 101 pass 2 (yz+): 0 found - 37 modified | TOTAL: 101 pass 1 (yz-): 37 found - 37 modified | TOTAL: 138 pass 2 (yz-): 0 found - 37 modified | TOTAL: 138 pass 1 (xz+): 39 found - 39 modified | TOTAL: 177 pass 2 (xz+): 0 found - 39 modified | TOTAL: 177 pass 1 (xz-): 34 found - 34 modified | TOTAL: 211 pass 2 (xz-): 0 found - 34 modified | TOTAL: 211 Iteration Number : 1 pass 1 (+++): 28 found - 28 modified | TOTAL: 28 pass 2 (+++): 0 found - 28 modified | TOTAL: 28 pass 1 (+++): 35 found - 35 modified | TOTAL: 63 pass 2 (+++): 0 found - 35 modified | TOTAL: 63 pass 1 (+++): 22 found - 22 modified | TOTAL: 85 pass 2 (+++): 0 found - 22 modified | TOTAL: 85 pass 1 (+++): 24 found - 24 modified | TOTAL: 109 pass 2 (+++): 0 found - 24 modified | TOTAL: 109 Iteration Number : 1 pass 1 (++): 136 found - 136 modified | TOTAL: 136 pass 2 (++): 0 found - 136 modified | TOTAL: 136 pass 1 (+-): 94 found - 94 modified | TOTAL: 230 pass 2 (+-): 2 found - 96 modified | TOTAL: 232 pass 3 (+-): 0 found - 96 modified | TOTAL: 232 pass 1 (--): 96 found - 96 modified | TOTAL: 328 pass 2 (--): 0 found - 96 modified | TOTAL: 328 pass 1 (-+): 101 found - 101 modified | TOTAL: 429 pass 2 (-+): 0 found - 101 modified | TOTAL: 429 Iteration Number : 2 pass 1 (xy+): 9 found - 9 modified | TOTAL: 9 pass 2 (xy+): 0 found - 9 modified | TOTAL: 9 pass 1 (xy-): 8 found - 8 modified | TOTAL: 17 pass 2 (xy-): 0 found - 8 modified | TOTAL: 17 pass 1 (yz+): 16 found - 16 modified | TOTAL: 33 pass 2 (yz+): 0 found - 16 modified | TOTAL: 33 pass 1 (yz-): 5 found - 5 modified | TOTAL: 38 pass 2 (yz-): 0 found - 5 modified | TOTAL: 38 pass 1 (xz+): 5 found - 5 modified | TOTAL: 43 pass 2 (xz+): 0 found - 5 modified | TOTAL: 43 pass 1 (xz-): 7 found - 7 modified | TOTAL: 50 pass 2 (xz-): 0 found - 7 modified | TOTAL: 50 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 4 found - 4 modified | TOTAL: 4 pass 2 (+++): 0 found - 4 modified | TOTAL: 4 pass 1 (+++): 0 found - 0 modified | TOTAL: 4 pass 1 (+++): 0 found - 0 modified | TOTAL: 4 Iteration Number : 2 pass 1 (++): 2 found - 2 modified | TOTAL: 2 pass 2 (++): 0 found - 2 modified | TOTAL: 2 pass 1 (+-): 3 found - 3 modified | TOTAL: 5 pass 2 (+-): 0 found - 3 modified | TOTAL: 5 pass 1 (--): 1 found - 1 modified | TOTAL: 6 pass 2 (--): 0 found - 1 modified | TOTAL: 6 pass 1 (-+): 5 found - 5 modified | TOTAL: 11 pass 2 (-+): 0 found - 5 modified | TOTAL: 11 Iteration Number : 3 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 1 found - 1 modified | TOTAL: 1 pass 2 (yz-): 0 found - 1 modified | TOTAL: 1 pass 1 (xz+): 0 found - 0 modified | TOTAL: 1 pass 1 (xz-): 0 found - 0 modified | TOTAL: 1 Iteration Number : 3 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 2 found - 2 modified | TOTAL: 2 pass 2 (+++): 0 found - 2 modified | TOTAL: 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 2 Iteration Number : 3 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 1 found - 1 modified | TOTAL: 1 pass 2 (xy-): 0 found - 1 modified | TOTAL: 1 pass 1 (yz+): 0 found - 0 modified | TOTAL: 1 pass 1 (yz-): 0 found - 0 modified | TOTAL: 1 pass 1 (xz+): 0 found - 0 modified | TOTAL: 1 pass 1 (xz-): 0 found - 0 modified | TOTAL: 1 Iteration Number : 4 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (++): 1 found - 1 modified | TOTAL: 1 pass 2 (++): 0 found - 1 modified | TOTAL: 1 pass 1 (+-): 0 found - 0 modified | TOTAL: 1 pass 1 (--): 0 found - 0 modified | TOTAL: 1 pass 1 (-+): 0 found - 0 modified | TOTAL: 1 Iteration Number : 5 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 5 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 5 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 819 (out of 603416: 0.135727) binarizing input wm segmentation... Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:51:35 mri_pretess N 4 e 5.85 S 0.03 U 5.63 P 96% M 54788 F 0 R 13870 W 0 c 129 w 58 I 0 O 856 L 5.04 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:51:41 mri_pretess N 4 5.04 5.01 5.00 #-------------------------------------------- #@# Fill Thu Jan 19 10:51:41 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_fill -a ../scripts/ponscc.cut.log -xform transforms/talairach.lta -segmentation aseg.auto_noCCseg.mgz wm.mgz filled.mgz logging cutting plane coordinates to ../scripts/ponscc.cut.log... INFO: Using transforms/talairach.lta and its offset for Talairach volume ... using segmentation aseg.auto_noCCseg.mgz... reading input volume...done. searching for cutting planes...voxel to talairach voxel transform 1.07641 -0.01533 0.02008 -13.05086; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; voxel to talairach voxel transform 1.07641 -0.01533 0.02008 -13.05086; 0.00675 1.08954 0.28341 -44.07188; -0.02500 -0.24693 0.96404 32.54617; 0.00000 0.00000 0.00000 1.00000; reading segmented volume aseg.auto_noCCseg.mgz... Looking for area (min, max) = (350, 1400) area[0] = 1642 (min = 350, max = 1400), aspect = 0.49 (min = 0.10, max = 0.75) need search nearby using seed (126, 116, 87), TAL = (2.0, -41.0, 12.0) talairach voxel to voxel transform 0.92846 0.00813 -0.02173 13.18303; -0.01126 0.86039 -0.25270 45.99638; 0.02120 0.22059 0.97201 -21.63705; 0.00000 0.00000 0.00000 1.00000; segmentation indicates cc at (126, 116, 87) --> (2.0, -41.0, 12.0) done. writing output to filled.mgz... filling took 0.8 minutes talairach cc position changed to (2.00, -41.00, 12.00) Erasing brainstem...done. seed_search_size = 9, min_neighbors = 5 search rh wm seed point around talairach space:(20.00, -41.00, 12.00) SRC: (112.51, 122.60, 90.81) search lh wm seed point around talairach space (-16.00, -41.00, 12.00), SRC: (145.93, 122.19, 91.57) compute mri_fill using aseg Erasing Brain Stem and Cerebellum ... Define left and right masks using aseg: Building Voronoi diagram ... Using the Voronoi diagram to separate WM into two hemispheres ... Find the largest connected component for each hemisphere ... @#@FSTIME 2017:01:19:10:51:41 mri_fill N 8 e 50.69 S 0.29 U 50.22 P 99% M 190332 F 0 R 114869 W 0 c 164 w 61 I 0 O 272 L 5.04 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:32 mri_fill N 8 5.02 5.01 5.00 #-------------------------------------------- #@# Tessellate lh Thu Jan 19 10:52:32 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mri_pretess ../mri/filled.mgz 255 ../mri/norm.mgz ../mri/filled-pretess255.mgz Iteration Number : 1 pass 1 (xy+): 3 found - 3 modified | TOTAL: 3 pass 2 (xy+): 0 found - 3 modified | TOTAL: 3 pass 1 (xy-): 1 found - 1 modified | TOTAL: 4 pass 2 (xy-): 0 found - 1 modified | TOTAL: 4 pass 1 (yz+): 1 found - 1 modified | TOTAL: 5 pass 2 (yz+): 0 found - 1 modified | TOTAL: 5 pass 1 (yz-): 1 found - 1 modified | TOTAL: 6 pass 2 (yz-): 0 found - 1 modified | TOTAL: 6 pass 1 (xz+): 1 found - 1 modified | TOTAL: 7 pass 2 (xz+): 0 found - 1 modified | TOTAL: 7 pass 1 (xz-): 3 found - 3 modified | TOTAL: 10 pass 2 (xz-): 0 found - 3 modified | TOTAL: 10 Iteration Number : 1 pass 1 (+++): 2 found - 2 modified | TOTAL: 2 pass 2 (+++): 0 found - 2 modified | TOTAL: 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 2 Iteration Number : 1 pass 1 (++): 1 found - 1 modified | TOTAL: 1 pass 2 (++): 0 found - 1 modified | TOTAL: 1 pass 1 (+-): 1 found - 1 modified | TOTAL: 2 pass 2 (+-): 0 found - 1 modified | TOTAL: 2 pass 1 (--): 1 found - 1 modified | TOTAL: 3 pass 2 (--): 0 found - 1 modified | TOTAL: 3 pass 1 (-+): 3 found - 3 modified | TOTAL: 6 pass 2 (-+): 0 found - 3 modified | TOTAL: 6 Iteration Number : 2 pass 1 (xy+): 1 found - 1 modified | TOTAL: 1 pass 2 (xy+): 0 found - 1 modified | TOTAL: 1 pass 1 (xy-): 0 found - 0 modified | TOTAL: 1 pass 1 (yz+): 1 found - 1 modified | TOTAL: 2 pass 2 (yz+): 0 found - 1 modified | TOTAL: 2 pass 1 (yz-): 0 found - 0 modified | TOTAL: 2 pass 1 (xz+): 0 found - 0 modified | TOTAL: 2 pass 1 (xz-): 1 found - 1 modified | TOTAL: 3 pass 2 (xz-): 0 found - 1 modified | TOTAL: 3 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 1 found - 1 modified | TOTAL: 1 pass 2 (-+): 0 found - 1 modified | TOTAL: 1 Iteration Number : 3 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 1 found - 1 modified | TOTAL: 1 pass 2 (xz+): 0 found - 1 modified | TOTAL: 1 pass 1 (xz-): 0 found - 0 modified | TOTAL: 1 Iteration Number : 3 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 3 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 1 found - 1 modified | TOTAL: 1 pass 2 (+-): 0 found - 1 modified | TOTAL: 1 pass 1 (--): 0 found - 0 modified | TOTAL: 1 pass 1 (-+): 0 found - 0 modified | TOTAL: 1 Iteration Number : 4 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 24 (out of 295365: 0.008126) Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:52:32 mri_pretess N 4 e 4.17 S 0.02 U 3.99 P 96% M 38284 F 0 R 9698 W 0 c 90 w 55 I 0 O 264 L 5.02 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:37 mri_pretess N 4 5.01 5.01 5.00 mri_tessellate ../mri/filled-pretess255.mgz 255 ../surf/lh.orig.nofix $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ slice 40: 1137 vertices, 1263 faces slice 50: 7980 vertices, 8297 faces slice 60: 17914 vertices, 18242 faces slice 70: 28989 vertices, 29346 faces slice 80: 39325 vertices, 39646 faces slice 90: 49535 vertices, 49863 faces slice 100: 60276 vertices, 60672 faces slice 110: 70909 vertices, 71285 faces slice 120: 80990 vertices, 81349 faces slice 130: 91325 vertices, 91744 faces slice 140: 100825 vertices, 101208 faces slice 150: 109860 vertices, 110181 faces slice 160: 117101 vertices, 117447 faces slice 170: 124278 vertices, 124540 faces slice 180: 130519 vertices, 130749 faces slice 190: 135502 vertices, 135693 faces slice 200: 138384 vertices, 138443 faces slice 210: 138426 vertices, 138464 faces slice 220: 138426 vertices, 138464 faces slice 230: 138426 vertices, 138464 faces slice 240: 138426 vertices, 138464 faces slice 250: 138426 vertices, 138464 faces using the conformed surface RAS to save vertex points... writing ../surf/lh.orig.nofix using vox2ras matrix: -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; @#@FSTIME 2017:01:19:10:52:37 mri_tessellate N 3 e 2.83 S 0.02 U 2.63 P 93% M 40716 F 0 R 6438 W 0 c 109 w 131 I 0 O 6496 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:39 mri_tessellate N 3 5.01 5.01 5.00 rm -f ../mri/filled-pretess255.mgz mris_extract_main_component ../surf/lh.orig.nofix ../surf/lh.orig.nofix counting number of connected components... 138426 voxel in cpt #1: X=-38 [v=138426,e=415392,f=276928] located at (-27.601173, -18.287821, 13.898711) For the whole surface: X=-38 [v=138426,e=415392,f=276928] One single component has been found nothing to do done @#@FSTIME 2017:01:19:10:52:40 mris_extract_main_component N 2 e 2.99 S 0.13 U 2.58 P 90% M 283572 F 12 R 27538 W 0 c 324 w 190 I 10104 O 9736 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:43 mris_extract_main_component N 2 5.01 5.01 5.00 #-------------------------------------------- #@# Tessellate rh Thu Jan 19 10:52:43 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mri_pretess ../mri/filled.mgz 127 ../mri/norm.mgz ../mri/filled-pretess127.mgz Iteration Number : 1 pass 1 (xy+): 1 found - 1 modified | TOTAL: 1 pass 2 (xy+): 0 found - 1 modified | TOTAL: 1 pass 1 (xy-): 0 found - 0 modified | TOTAL: 1 pass 1 (yz+): 4 found - 4 modified | TOTAL: 5 pass 2 (yz+): 0 found - 4 modified | TOTAL: 5 pass 1 (yz-): 0 found - 0 modified | TOTAL: 5 pass 1 (xz+): 1 found - 1 modified | TOTAL: 6 pass 2 (xz+): 0 found - 1 modified | TOTAL: 6 pass 1 (xz-): 0 found - 0 modified | TOTAL: 6 Iteration Number : 1 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 1 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 1 found - 1 modified | TOTAL: 1 pass 2 (+-): 0 found - 1 modified | TOTAL: 1 pass 1 (--): 0 found - 0 modified | TOTAL: 1 pass 1 (-+): 2 found - 2 modified | TOTAL: 3 pass 2 (-+): 0 found - 2 modified | TOTAL: 3 Iteration Number : 2 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 9 (out of 289772: 0.003106) Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:52:43 mri_pretess N 4 e 2.84 S 0.02 U 2.68 P 95% M 38288 F 0 R 9698 W 0 c 51 w 50 I 0 O 264 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:46 mri_pretess N 4 5.01 5.01 5.00 mri_tessellate ../mri/filled-pretess127.mgz 127 ../surf/rh.orig.nofix $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ slice 40: 428 vertices, 477 faces slice 50: 4981 vertices, 5214 faces slice 60: 13382 vertices, 13720 faces slice 70: 24079 vertices, 24448 faces slice 80: 34659 vertices, 35053 faces slice 90: 45811 vertices, 46203 faces slice 100: 57173 vertices, 57573 faces slice 110: 67791 vertices, 68157 faces slice 120: 78588 vertices, 78962 faces slice 130: 88327 vertices, 88696 faces slice 140: 98662 vertices, 99036 faces slice 150: 108031 vertices, 108333 faces slice 160: 115816 vertices, 116113 faces slice 170: 123596 vertices, 123891 faces slice 180: 130243 vertices, 130479 faces slice 190: 135977 vertices, 136189 faces slice 200: 138950 vertices, 138998 faces slice 210: 138966 vertices, 139006 faces slice 220: 138966 vertices, 139006 faces slice 230: 138966 vertices, 139006 faces slice 240: 138966 vertices, 139006 faces slice 250: 138966 vertices, 139006 faces using the conformed surface RAS to save vertex points... writing ../surf/rh.orig.nofix using vox2ras matrix: -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; @#@FSTIME 2017:01:19:10:52:46 mri_tessellate N 3 e 2.79 S 0.02 U 2.59 P 93% M 39636 F 0 R 6752 W 0 c 109 w 127 I 0 O 6520 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:48 mri_tessellate N 3 5.01 5.01 5.00 rm -f ../mri/filled-pretess127.mgz mris_extract_main_component ../surf/rh.orig.nofix ../surf/rh.orig.nofix counting number of connected components... 138966 voxel in cpt #1: X=-40 [v=138966,e=417018,f=278012] located at (26.967747, -15.130967, 13.657391) For the whole surface: X=-40 [v=138966,e=417018,f=278012] One single component has been found nothing to do done @#@FSTIME 2017:01:19:10:52:48 mris_extract_main_component N 2 e 3.24 S 0.12 U 2.94 P 94% M 284464 F 0 R 27773 W 0 c 167 w 169 I 0 O 9776 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:52 mris_extract_main_component N 2 5.01 5.01 5.00 #-------------------------------------------- #@# Smooth1 lh Thu Jan 19 10:52:52 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_smooth -nw -seed 1234 ../surf/lh.orig.nofix ../surf/lh.smoothwm.nofix setting seed for random number generator to 1234 smoothing surface tessellation for 10 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:10:52:52 mris_smooth N 5 e 6.87 S 0.08 U 6.59 P 97% M 177556 F 0 R 23052 W 0 c 169 w 171 I 0 O 9744 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:10:52:59 mris_smooth N 5 5.01 5.00 5.00 #-------------------------------------------- #@# Smooth1 rh Thu Jan 19 10:52:59 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_smooth -nw -seed 1234 ../surf/rh.orig.nofix ../surf/rh.smoothwm.nofix setting seed for random number generator to 1234 smoothing surface tessellation for 10 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:10:52:59 mris_smooth N 5 e 6.90 S 0.10 U 6.59 P 97% M 178060 F 0 R 23177 W 0 c 168 w 166 I 0 O 9776 L 5.01 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:53:06 mris_smooth N 5 5.01 5.00 5.00 #-------------------------------------------- #@# Inflation1 lh Thu Jan 19 10:53:06 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_inflate -no-save-sulc ../surf/lh.smoothwm.nofix ../surf/lh.inflated.nofix Not saving sulc Reading ../surf/lh.smoothwm.nofix avg radius = 49.4 mm, total surface area = 72945 mm^2 writing inflated surface to ../surf/lh.inflated.nofix inflation took 1.0 minutes step 000: RMS=0.154 (target=0.015) step 005: RMS=0.115 (target=0.015) step 010: RMS=0.083 (target=0.015) step 015: RMS=0.070 (target=0.015) step 020: RMS=0.060 (target=0.015) step 025: RMS=0.053 (target=0.015) step 030: RMS=0.049 (target=0.015) step 035: RMS=0.045 (target=0.015) step 040: RMS=0.041 (target=0.015) step 045: RMS=0.040 (target=0.015) step 050: RMS=0.038 (target=0.015) step 055: RMS=0.038 (target=0.015) step 060: RMS=0.038 (target=0.015) inflation complete. Not saving sulc mris_inflate utimesec 57.905197 mris_inflate stimesec 0.091986 mris_inflate ru_maxrss 177552 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 23047 mris_inflate ru_majflt 1 mris_inflate ru_nswap 0 mris_inflate ru_inblock 576 mris_inflate ru_oublock 9744 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 180 mris_inflate ru_nivcsw 250 @#@FSTIME 2017:01:19:10:53:06 mris_inflate N 3 e 58.40 S 0.10 U 57.90 P 99% M 177552 F 1 R 23050 W 0 c 253 w 182 I 576 O 9744 L 5.01 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:54:04 mris_inflate N 3 5.00 5.00 5.00 #-------------------------------------------- #@# Inflation1 rh Thu Jan 19 10:54:04 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_inflate -no-save-sulc ../surf/rh.smoothwm.nofix ../surf/rh.inflated.nofix Not saving sulc Reading ../surf/rh.smoothwm.nofix avg radius = 48.6 mm, total surface area = 73160 mm^2 writing inflated surface to ../surf/rh.inflated.nofix inflation took 1.0 minutes step 000: RMS=0.155 (target=0.015) step 005: RMS=0.116 (target=0.015) step 010: RMS=0.086 (target=0.015) step 015: RMS=0.072 (target=0.015) step 020: RMS=0.062 (target=0.015) step 025: RMS=0.055 (target=0.015) step 030: RMS=0.049 (target=0.015) step 035: RMS=0.046 (target=0.015) step 040: RMS=0.043 (target=0.015) step 045: RMS=0.041 (target=0.015) step 050: RMS=0.040 (target=0.015) step 055: RMS=0.039 (target=0.015) step 060: RMS=0.039 (target=0.015) inflation complete. Not saving sulc mris_inflate utimesec 57.558249 mris_inflate stimesec 0.079987 mris_inflate ru_maxrss 178052 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 22662 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 9776 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 178 mris_inflate ru_nivcsw 245 @#@FSTIME 2017:01:19:10:54:05 mris_inflate N 3 e 57.89 S 0.08 U 57.56 P 99% M 178052 F 0 R 22665 W 0 c 247 w 180 I 0 O 9776 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:10:55:03 mris_inflate N 3 5.00 5.00 5.00 #-------------------------------------------- #@# QSphere lh Thu Jan 19 10:55:03 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_sphere -q -seed 1234 ../surf/lh.inflated.nofix ../surf/lh.qsphere.nofix doing quick spherical unfolding. setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... vertex spacing 0.97 +- 0.58 (0.00-->6.47) (max @ vno 102515 --> 102523) face area 0.03 +- 0.03 (-0.09-->0.68) == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.314... inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=176.099, avgs=0 005/300: dt: 0.9000, rms radial error=175.840, avgs=0 010/300: dt: 0.9000, rms radial error=175.284, avgs=0 015/300: dt: 0.9000, rms radial error=174.552, avgs=0 020/300: dt: 0.9000, rms radial error=173.719, avgs=0 025/300: dt: 0.9000, rms radial error=172.826, avgs=0 030/300: dt: 0.9000, rms radial error=171.901, avgs=0 035/300: dt: 0.9000, rms radial error=170.958, avgs=0 040/300: dt: 0.9000, rms radial error=170.006, avgs=0 045/300: dt: 0.9000, rms radial error=169.055, avgs=0 050/300: dt: 0.9000, rms radial error=168.109, avgs=0 055/300: dt: 0.9000, rms radial error=167.166, avgs=0 060/300: dt: 0.9000, rms radial error=166.227, avgs=0 065/300: dt: 0.9000, rms radial error=165.291, avgs=0 070/300: dt: 0.9000, rms radial error=164.360, avgs=0 075/300: dt: 0.9000, rms radial error=163.434, avgs=0 080/300: dt: 0.9000, rms radial error=162.516, avgs=0 085/300: dt: 0.9000, rms radial error=161.606, avgs=0 090/300: dt: 0.9000, rms radial error=160.699, avgs=0 095/300: dt: 0.9000, rms radial error=159.798, avgs=0 100/300: dt: 0.9000, rms radial error=158.902, avgs=0 105/300: dt: 0.9000, rms radial error=158.010, avgs=0 110/300: dt: 0.9000, rms radial error=157.123, avgs=0 115/300: dt: 0.9000, rms radial error=156.241, avgs=0 120/300: dt: 0.9000, rms radial error=155.363, avgs=0 125/300: dt: 0.9000, rms radial error=154.491, avgs=0 130/300: dt: 0.9000, rms radial error=153.623, avgs=0 135/300: dt: 0.9000, rms radial error=152.760, avgs=0 140/300: dt: 0.9000, rms radial error=151.901, avgs=0 145/300: dt: 0.9000, rms radial error=151.048, avgs=0 150/300: dt: 0.9000, rms radial error=150.198, avgs=0 155/300: dt: 0.9000, rms radial error=149.354, avgs=0 160/300: dt: 0.9000, rms radial error=148.514, avgs=0 165/300: dt: 0.9000, rms radial error=147.678, avgs=0 170/300: dt: 0.9000, rms radial error=146.847, avgs=0 175/300: dt: 0.9000, rms radial error=146.021, avgs=0 180/300: dt: 0.9000, rms radial error=145.199, avgs=0 185/300: dt: 0.9000, rms radial error=144.382, avgs=0 190/300: dt: 0.9000, rms radial error=143.570, avgs=0 195/300: dt: 0.9000, rms radial error=142.762, avgs=0 200/300: dt: 0.9000, rms radial error=141.958, avgs=0 205/300: dt: 0.9000, rms radial error=141.158, avgs=0 210/300: dt: 0.9000, rms radial error=140.364, avgs=0 215/300: dt: 0.9000, rms radial error=139.573, avgs=0 220/300: dt: 0.9000, rms radial error=138.787, avgs=0 225/300: dt: 0.9000, rms radial error=138.005, avgs=0 230/300: dt: 0.9000, rms radial error=137.228, avgs=0 235/300: dt: 0.9000, rms radial error=136.455, avgs=0 240/300: dt: 0.9000, rms radial error=135.686, avgs=0 245/300: dt: 0.9000, rms radial error=134.922, avgs=0 250/300: dt: 0.9000, rms radial error=134.162, avgs=0 255/300: dt: 0.9000, rms radial error=133.406, avgs=0 260/300: dt: 0.9000, rms radial error=132.655, avgs=0 265/300: dt: 0.9000, rms radial error=131.907, avgs=0 270/300: dt: 0.9000, rms radial error=131.164, avgs=0 275/300: dt: 0.9000, rms radial error=130.425, avgs=0 280/300: dt: 0.9000, rms radial error=129.690, avgs=0 285/300: dt: 0.9000, rms radial error=128.959, avgs=0 290/300: dt: 0.9000, rms radial error=128.232, avgs=0 295/300: dt: 0.9000, rms radial error=127.509, avgs=0 300/300: dt: 0.9000, rms radial error=126.791, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 16170.84 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00020 epoch 2 (K=40.0), pass 1, starting sse = 2716.65 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00009 epoch 3 (K=160.0), pass 1, starting sse = 289.59 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.11/11 = 0.01038 epoch 4 (K=640.0), pass 1, starting sse = 17.35 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.16/13 = 0.01236 final distance error %28.19 writing spherical brain to ../surf/lh.qsphere.nofix spherical transformation took 0.10 hours mris_sphere utimesec 354.708076 mris_sphere stimesec 0.104984 mris_sphere ru_maxrss 177740 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 23093 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 9744 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 179 mris_sphere ru_nivcsw 713 FSRUNTIME@ mris_sphere 0.0986 hours 1 threads @#@FSTIME 2017:01:19:10:55:03 mris_sphere N 5 e 355.15 S 0.11 U 354.71 P 99% M 177740 F 0 R 23097 W 0 c 715 w 181 I 0 O 9744 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:11:00:58 mris_sphere N 5 5.00 5.00 5.00 #-------------------------------------------- #@# QSphere rh Thu Jan 19 11:00:58 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_sphere -q -seed 1234 ../surf/rh.inflated.nofix ../surf/rh.qsphere.nofix doing quick spherical unfolding. setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... vertex spacing 0.97 +- 0.57 (0.00-->5.71) (max @ vno 102102 --> 102103) face area 0.03 +- 0.03 (-0.10-->0.48) == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.318... inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=175.858, avgs=0 005/300: dt: 0.9000, rms radial error=175.599, avgs=0 010/300: dt: 0.9000, rms radial error=175.042, avgs=0 015/300: dt: 0.9000, rms radial error=174.312, avgs=0 020/300: dt: 0.9000, rms radial error=173.480, avgs=0 025/300: dt: 0.9000, rms radial error=172.591, avgs=0 030/300: dt: 0.9000, rms radial error=171.672, avgs=0 035/300: dt: 0.9000, rms radial error=170.737, avgs=0 040/300: dt: 0.9000, rms radial error=169.794, avgs=0 045/300: dt: 0.9000, rms radial error=168.849, avgs=0 050/300: dt: 0.9000, rms radial error=167.905, avgs=0 055/300: dt: 0.9000, rms radial error=166.963, avgs=0 060/300: dt: 0.9000, rms radial error=166.025, avgs=0 065/300: dt: 0.9000, rms radial error=165.092, avgs=0 070/300: dt: 0.9000, rms radial error=164.163, avgs=0 075/300: dt: 0.9000, rms radial error=163.241, avgs=0 080/300: dt: 0.9000, rms radial error=162.327, avgs=0 085/300: dt: 0.9000, rms radial error=161.417, avgs=0 090/300: dt: 0.9000, rms radial error=160.512, avgs=0 095/300: dt: 0.9000, rms radial error=159.613, avgs=0 100/300: dt: 0.9000, rms radial error=158.718, avgs=0 105/300: dt: 0.9000, rms radial error=157.828, avgs=0 110/300: dt: 0.9000, rms radial error=156.943, avgs=0 115/300: dt: 0.9000, rms radial error=156.063, avgs=0 120/300: dt: 0.9000, rms radial error=155.187, avgs=0 125/300: dt: 0.9000, rms radial error=154.316, avgs=0 130/300: dt: 0.9000, rms radial error=153.450, avgs=0 135/300: dt: 0.9000, rms radial error=152.588, avgs=0 140/300: dt: 0.9000, rms radial error=151.731, avgs=0 145/300: dt: 0.9000, rms radial error=150.879, avgs=0 150/300: dt: 0.9000, rms radial error=150.032, avgs=0 155/300: dt: 0.9000, rms radial error=149.189, avgs=0 160/300: dt: 0.9000, rms radial error=148.351, avgs=0 165/300: dt: 0.9000, rms radial error=147.518, avgs=0 170/300: dt: 0.9000, rms radial error=146.689, avgs=0 175/300: dt: 0.9000, rms radial error=145.865, avgs=0 180/300: dt: 0.9000, rms radial error=145.045, avgs=0 185/300: dt: 0.9000, rms radial error=144.230, avgs=0 190/300: dt: 0.9000, rms radial error=143.419, avgs=0 195/300: dt: 0.9000, rms radial error=142.613, avgs=0 200/300: dt: 0.9000, rms radial error=141.811, avgs=0 205/300: dt: 0.9000, rms radial error=141.014, avgs=0 210/300: dt: 0.9000, rms radial error=140.221, avgs=0 215/300: dt: 0.9000, rms radial error=139.432, avgs=0 220/300: dt: 0.9000, rms radial error=138.648, avgs=0 225/300: dt: 0.9000, rms radial error=137.869, avgs=0 230/300: dt: 0.9000, rms radial error=137.093, avgs=0 235/300: dt: 0.9000, rms radial error=136.322, avgs=0 240/300: dt: 0.9000, rms radial error=135.555, avgs=0 245/300: dt: 0.9000, rms radial error=134.792, avgs=0 250/300: dt: 0.9000, rms radial error=134.034, avgs=0 255/300: dt: 0.9000, rms radial error=133.280, avgs=0 260/300: dt: 0.9000, rms radial error=132.530, avgs=0 265/300: dt: 0.9000, rms radial error=131.784, avgs=0 270/300: dt: 0.9000, rms radial error=131.042, avgs=0 275/300: dt: 0.9000, rms radial error=130.304, avgs=0 280/300: dt: 0.9000, rms radial error=129.571, avgs=0 285/300: dt: 0.9000, rms radial error=128.841, avgs=0 290/300: dt: 0.9000, rms radial error=128.116, avgs=0 295/300: dt: 0.9000, rms radial error=127.395, avgs=0 300/300: dt: 0.9000, rms radial error=126.677, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 16166.06 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00015 epoch 2 (K=40.0), pass 1, starting sse = 2692.32 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00019 epoch 3 (K=160.0), pass 1, starting sse = 275.53 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.12/14 = 0.00891 epoch 4 (K=640.0), pass 1, starting sse = 15.71 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.27/20 = 0.01372 final distance error %26.40 writing spherical brain to ../surf/rh.qsphere.nofix spherical transformation took 0.11 hours mris_sphere utimesec 411.564432 mris_sphere stimesec 0.134979 mris_sphere ru_maxrss 178244 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 22709 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 9784 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 186 mris_sphere ru_nivcsw 864 FSRUNTIME@ mris_sphere 0.1145 hours 1 threads @#@FSTIME 2017:01:19:11:00:58 mris_sphere N 5 e 412.06 S 0.14 U 411.56 P 99% M 178244 F 0 R 22713 W 0 c 866 w 188 I 0 O 9784 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:11:07:50 mris_sphere N 5 5.00 5.00 5.00 #-------------------------------------------- #@# Fix Topology Copy lh Thu Jan 19 11:07:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts cp ../surf/lh.orig.nofix ../surf/lh.orig cp ../surf/lh.inflated.nofix ../surf/lh.inflated #-------------------------------------------- #@# Fix Topology Copy rh Thu Jan 19 11:07:51 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts cp ../surf/rh.orig.nofix ../surf/rh.orig cp ../surf/rh.inflated.nofix ../surf/rh.inflated #@# Fix Topology lh Thu Jan 19 11:07:51 EST 2017 mris_fix_topology -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_fix_topology.lh.dat -mgz -sphere qsphere.nofix -ga -seed 1234 111 lh reading spherical homeomorphism from 'qsphere.nofix' using genetic algorithm with optimized parameters setting seed for random number genererator to 1234 ************************************************************* Topology Correction Parameters retessellation mode: genetic search number of patches/generation : 10 number of generations : 10 surface mri loglikelihood coefficient : 1.0 volume mri loglikelihood coefficient : 10.0 normal dot loglikelihood coefficient : 1.0 quadratic curvature loglikelihood coefficient : 1.0 volume resolution : 2 eliminate vertices during search : 1 initial patch selection : 1 select all defect vertices : 0 ordering dependant retessellation: 0 use precomputed edge table : 0 smooth retessellated patch : 2 match retessellated patch : 1 verbose mode : 0 ************************************************************* INFO: assuming .mgz format $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ before topology correction, eno=-38 (nv=138426, nf=276928, ne=415392, g=20) using quasi-homeomorphic spherical map to tessellate cortical surface... Correction of the Topology Finding true center and radius of Spherical Surface...done Surface centered at (0,0,0) with radius 100.0 in 8 iterations marking ambiguous vertices... 3230 ambiguous faces found in tessellation segmenting defects... 36 defects found, arbitrating ambiguous regions... analyzing neighboring defects... -merging segment 8 into 7 -merging segment 16 into 15 -merging segment 17 into 15 33 defects to be corrected 0 vertices coincident reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Computing Initial Surface Statistics -face loglikelihood: -9.3900 (-4.6950) -vertex loglikelihood: -6.5445 (-3.2722) -normal dot loglikelihood: -3.6157 (-3.6157) -quad curv loglikelihood: -6.5313 (-3.2657) Total Loglikelihood : -26.0816 CORRECTING DEFECT 0 (vertices=367, convex hull=79, v0=9515) After retessellation of defect 0 (v0=9515), euler #=-32 (136470,408612,272110) : difference with theory (-30) = 2 CORRECTING DEFECT 1 (vertices=396, convex hull=150, v0=19591) After retessellation of defect 1 (v0=19591), euler #=-32 (136557,408951,272362) : difference with theory (-29) = 3 CORRECTING DEFECT 2 (vertices=58, convex hull=95, v0=26176) After retessellation of defect 2 (v0=26176), euler #=-31 (136573,409041,272437) : difference with theory (-28) = 3 CORRECTING DEFECT 3 (vertices=5, convex hull=25, v0=32549) After retessellation of defect 3 (v0=32549), euler #=-30 (136573,409048,272445) : difference with theory (-27) = 3 CORRECTING DEFECT 4 (vertices=10, convex hull=41, v0=49106) After retessellation of defect 4 (v0=49106), euler #=-29 (136576,409069,272464) : difference with theory (-26) = 3 CORRECTING DEFECT 5 (vertices=6, convex hull=21, v0=53318) After retessellation of defect 5 (v0=53318), euler #=-28 (136578,409081,272475) : difference with theory (-25) = 3 CORRECTING DEFECT 6 (vertices=35, convex hull=51, v0=56460) After retessellation of defect 6 (v0=56460), euler #=-27 (136594,409149,272528) : difference with theory (-24) = 3 CORRECTING DEFECT 7 (vertices=70, convex hull=39, v0=74875) After retessellation of defect 7 (v0=74875), euler #=-25 (136601,409184,272558) : difference with theory (-23) = 2 CORRECTING DEFECT 8 (vertices=82, convex hull=101, v0=76244) After retessellation of defect 8 (v0=76244), euler #=-24 (136647,409365,272694) : difference with theory (-22) = 2 CORRECTING DEFECT 9 (vertices=34, convex hull=64, v0=84049) After retessellation of defect 9 (v0=84049), euler #=-23 (136661,409431,272747) : difference with theory (-21) = 2 CORRECTING DEFECT 10 (vertices=54, convex hull=84, v0=86074) After retessellation of defect 10 (v0=86074), euler #=-22 (136692,409563,272849) : difference with theory (-20) = 2 CORRECTING DEFECT 11 (vertices=80, convex hull=88, v0=92004) After retessellation of defect 11 (v0=92004), euler #=-21 (136709,409649,272919) : difference with theory (-19) = 2 CORRECTING DEFECT 12 (vertices=9, convex hull=30, v0=92344) After retessellation of defect 12 (v0=92344), euler #=-20 (136710,409662,272932) : difference with theory (-18) = 2 CORRECTING DEFECT 13 (vertices=26, convex hull=35, v0=93862) After retessellation of defect 13 (v0=93862), euler #=-19 (136713,409683,272951) : difference with theory (-17) = 2 CORRECTING DEFECT 14 (vertices=146, convex hull=172, v0=94919) After retessellation of defect 14 (v0=94919), euler #=-16 (136785,409989,273188) : difference with theory (-16) = 0 CORRECTING DEFECT 15 (vertices=31, convex hull=26, v0=98263) After retessellation of defect 15 (v0=98263), euler #=-15 (136791,410014,273208) : difference with theory (-15) = 0 CORRECTING DEFECT 16 (vertices=9, convex hull=30, v0=101261) After retessellation of defect 16 (v0=101261), euler #=-14 (136793,410030,273223) : difference with theory (-14) = 0 CORRECTING DEFECT 17 (vertices=5, convex hull=28, v0=101568) After retessellation of defect 17 (v0=101568), euler #=-13 (136794,410040,273233) : difference with theory (-13) = 0 CORRECTING DEFECT 18 (vertices=6, convex hull=25, v0=103478) After retessellation of defect 18 (v0=103478), euler #=-12 (136795,410050,273243) : difference with theory (-12) = 0 CORRECTING DEFECT 19 (vertices=5, convex hull=25, v0=104342) After retessellation of defect 19 (v0=104342), euler #=-11 (136795,410056,273250) : difference with theory (-11) = 0 CORRECTING DEFECT 20 (vertices=79, convex hull=43, v0=107382) After retessellation of defect 20 (v0=107382), euler #=-10 (136801,410092,273281) : difference with theory (-10) = 0 CORRECTING DEFECT 21 (vertices=37, convex hull=105, v0=110474) After retessellation of defect 21 (v0=110474), euler #=-9 (136822,410203,273372) : difference with theory (-9) = 0 CORRECTING DEFECT 22 (vertices=24, convex hull=51, v0=110766) After retessellation of defect 22 (v0=110766), euler #=-8 (136838,410272,273426) : difference with theory (-8) = 0 CORRECTING DEFECT 23 (vertices=33, convex hull=41, v0=111958) After retessellation of defect 23 (v0=111958), euler #=-7 (136847,410316,273462) : difference with theory (-7) = 0 CORRECTING DEFECT 24 (vertices=19, convex hull=24, v0=113277) After retessellation of defect 24 (v0=113277), euler #=-6 (136852,410342,273484) : difference with theory (-6) = 0 CORRECTING DEFECT 25 (vertices=69, convex hull=57, v0=113471) After retessellation of defect 25 (v0=113471), euler #=-5 (136861,410394,273528) : difference with theory (-5) = 0 CORRECTING DEFECT 26 (vertices=78, convex hull=103, v0=114700) After retessellation of defect 26 (v0=114700), euler #=-4 (136891,410525,273630) : difference with theory (-4) = 0 CORRECTING DEFECT 27 (vertices=52, convex hull=32, v0=115143) After retessellation of defect 27 (v0=115143), euler #=-3 (136905,410578,273670) : difference with theory (-3) = 0 CORRECTING DEFECT 28 (vertices=41, convex hull=34, v0=115992) After retessellation of defect 28 (v0=115992), euler #=-2 (136915,410619,273702) : difference with theory (-2) = 0 CORRECTING DEFECT 29 (vertices=20, convex hull=59, v0=123563) After retessellation of defect 29 (v0=123563), euler #=-1 (136927,410677,273749) : difference with theory (-1) = 0 CORRECTING DEFECT 30 (vertices=23, convex hull=54, v0=130273) After retessellation of defect 30 (v0=130273), euler #=0 (136936,410723,273787) : difference with theory (0) = 0 CORRECTING DEFECT 31 (vertices=38, convex hull=92, v0=131193) After retessellation of defect 31 (v0=131193), euler #=1 (136963,410842,273880) : difference with theory (1) = 0 CORRECTING DEFECT 32 (vertices=55, convex hull=96, v0=135585) After retessellation of defect 32 (v0=135585), euler #=2 (136995,410979,273986) : difference with theory (2) = 0 computing original vertex metric properties... storing new metric properties... computing tessellation statistics... vertex spacing 0.88 +- 0.22 (0.04-->6.23) (max @ vno 81976 --> 88028) face area 0.00 +- 0.00 (0.00-->0.00) performing soap bubble on retessellated vertices for 0 iterations... vertex spacing 0.88 +- 0.22 (0.04-->6.23) (max @ vno 81976 --> 88028) face area 0.00 +- 0.00 (0.00-->0.00) tessellation finished, orienting corrected surface... 121 mutations (34.1%), 234 crossovers (65.9%), 65 vertices were eliminated building final representation... 1431 vertices and 0 faces have been removed from triangulation after topology correction, eno=2 (nv=136995, nf=273986, ne=410979, g=0) writing corrected surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.orig... 0.000 % of the vertices (0 vertices) exhibit an orientation change topology fixing took 21.5 minutes 0 defective edges removing intersecting faces 000: 151 intersecting 001: 15 intersecting mris_fix_topology utimesec 1290.269849 mris_fix_topology stimesec 0.188971 mris_fix_topology ru_maxrss 428040 mris_fix_topology ru_ixrss 0 mris_fix_topology ru_idrss 0 mris_fix_topology ru_isrss 0 mris_fix_topology ru_minflt 52634 mris_fix_topology ru_majflt 1 mris_fix_topology ru_nswap 0 mris_fix_topology ru_inblock 624 mris_fix_topology ru_oublock 12904 mris_fix_topology ru_msgsnd 0 mris_fix_topology ru_msgrcv 0 mris_fix_topology ru_nsignals 0 mris_fix_topology ru_nvcsw 313 mris_fix_topology ru_nivcsw 2407 FSRUNTIME@ mris_fix_topology lh 0.3587 hours 1 threads @#@FSTIME 2017:01:19:11:07:51 mris_fix_topology N 10 e 1291.29 S 0.19 U 1290.27 P 99% M 428040 F 1 R 52639 W 0 c 2409 w 319 I 624 O 12912 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:11:29:22 mris_fix_topology N 10 5.17 5.08 5.01 #@# Fix Topology rh Thu Jan 19 11:29:22 EST 2017 mris_fix_topology -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_fix_topology.rh.dat -mgz -sphere qsphere.nofix -ga -seed 1234 111 rh reading spherical homeomorphism from 'qsphere.nofix' using genetic algorithm with optimized parameters setting seed for random number genererator to 1234 ************************************************************* Topology Correction Parameters retessellation mode: genetic search number of patches/generation : 10 number of generations : 10 surface mri loglikelihood coefficient : 1.0 volume mri loglikelihood coefficient : 10.0 normal dot loglikelihood coefficient : 1.0 quadratic curvature loglikelihood coefficient : 1.0 volume resolution : 2 eliminate vertices during search : 1 initial patch selection : 1 select all defect vertices : 0 ordering dependant retessellation: 0 use precomputed edge table : 0 smooth retessellated patch : 2 match retessellated patch : 1 verbose mode : 0 ************************************************************* INFO: assuming .mgz format $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ before topology correction, eno=-40 (nv=138966, nf=278012, ne=417018, g=21) using quasi-homeomorphic spherical map to tessellate cortical surface... Correction of the Topology Finding true center and radius of Spherical Surface...done Surface centered at (0,0,0) with radius 100.0 in 10 iterations marking ambiguous vertices... 3678 ambiguous faces found in tessellation segmenting defects... 39 defects found, arbitrating ambiguous regions... analyzing neighboring defects... -merging segment 8 into 7 -merging segment 15 into 12 37 defects to be corrected 0 vertices coincident reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Computing Initial Surface Statistics -face loglikelihood: -9.3724 (-4.6862) -vertex loglikelihood: -6.5319 (-3.2660) -normal dot loglikelihood: -3.6100 (-3.6100) -quad curv loglikelihood: -6.1897 (-3.0949) Total Loglikelihood : -25.7041 CORRECTING DEFECT 0 (vertices=7, convex hull=15, v0=10212) After retessellation of defect 0 (v0=10212), euler #=-35 (136758,409468,272675) : difference with theory (-34) = 1 CORRECTING DEFECT 1 (vertices=19, convex hull=66, v0=17443) After retessellation of defect 1 (v0=17443), euler #=-34 (136767,409521,272720) : difference with theory (-33) = 1 CORRECTING DEFECT 2 (vertices=24, convex hull=59, v0=21429) After retessellation of defect 2 (v0=21429), euler #=-33 (136782,409588,272773) : difference with theory (-32) = 1 CORRECTING DEFECT 3 (vertices=19, convex hull=47, v0=25211) After retessellation of defect 3 (v0=25211), euler #=-32 (136794,409643,272817) : difference with theory (-31) = 1 CORRECTING DEFECT 4 (vertices=68, convex hull=26, v0=28842) After retessellation of defect 4 (v0=28842), euler #=-31 (136800,409672,272841) : difference with theory (-30) = 1 CORRECTING DEFECT 5 (vertices=109, convex hull=93, v0=30128) After retessellation of defect 5 (v0=30128), euler #=-30 (136831,409805,272944) : difference with theory (-29) = 1 CORRECTING DEFECT 6 (vertices=24, convex hull=61, v0=38248) After retessellation of defect 6 (v0=38248), euler #=-29 (136840,409854,272985) : difference with theory (-28) = 1 CORRECTING DEFECT 7 (vertices=116, convex hull=145, v0=43188) After retessellation of defect 7 (v0=43188), euler #=-27 (136891,410077,273159) : difference with theory (-27) = 0 CORRECTING DEFECT 8 (vertices=26, convex hull=22, v0=53147) After retessellation of defect 8 (v0=53147), euler #=-26 (136895,410093,273172) : difference with theory (-26) = 0 CORRECTING DEFECT 9 (vertices=73, convex hull=74, v0=53197) After retessellation of defect 9 (v0=53197), euler #=-25 (136906,410158,273227) : difference with theory (-25) = 0 CORRECTING DEFECT 10 (vertices=5, convex hull=29, v0=58017) After retessellation of defect 10 (v0=58017), euler #=-24 (136908,410171,273239) : difference with theory (-24) = 0 CORRECTING DEFECT 11 (vertices=29, convex hull=68, v0=80119) After retessellation of defect 11 (v0=80119), euler #=-22 (136919,410234,273293) : difference with theory (-23) = -1 CORRECTING DEFECT 12 (vertices=33, convex hull=54, v0=80476) After retessellation of defect 12 (v0=80476), euler #=-22 (136934,410306,273350) : difference with theory (-22) = 0 CORRECTING DEFECT 13 (vertices=51, convex hull=27, v0=81492) After retessellation of defect 13 (v0=81492), euler #=-21 (136936,410321,273364) : difference with theory (-21) = 0 CORRECTING DEFECT 14 (vertices=6, convex hull=22, v0=84051) After retessellation of defect 14 (v0=84051), euler #=-20 (136936,410326,273370) : difference with theory (-20) = 0 CORRECTING DEFECT 15 (vertices=57, convex hull=90, v0=87400) After retessellation of defect 15 (v0=87400), euler #=-19 (136963,410448,273466) : difference with theory (-19) = 0 CORRECTING DEFECT 16 (vertices=83, convex hull=78, v0=92143) After retessellation of defect 16 (v0=92143), euler #=-18 (136975,410524,273531) : difference with theory (-18) = 0 CORRECTING DEFECT 17 (vertices=6, convex hull=28, v0=93078) After retessellation of defect 17 (v0=93078), euler #=-17 (136978,410541,273546) : difference with theory (-17) = 0 CORRECTING DEFECT 18 (vertices=538, convex hull=91, v0=95285) After retessellation of defect 18 (v0=95285), euler #=-16 (137012,410690,273662) : difference with theory (-16) = 0 CORRECTING DEFECT 19 (vertices=12, convex hull=25, v0=96432) After retessellation of defect 19 (v0=96432), euler #=-15 (137013,410699,273671) : difference with theory (-15) = 0 CORRECTING DEFECT 20 (vertices=6, convex hull=15, v0=103797) After retessellation of defect 20 (v0=103797), euler #=-14 (137014,410704,273676) : difference with theory (-14) = 0 CORRECTING DEFECT 21 (vertices=24, convex hull=29, v0=104986) After retessellation of defect 21 (v0=104986), euler #=-13 (137018,410725,273694) : difference with theory (-13) = 0 CORRECTING DEFECT 22 (vertices=7, convex hull=27, v0=109858) After retessellation of defect 22 (v0=109858), euler #=-12 (137020,410737,273705) : difference with theory (-12) = 0 CORRECTING DEFECT 23 (vertices=6, convex hull=19, v0=110940) After retessellation of defect 23 (v0=110940), euler #=-11 (137021,410746,273714) : difference with theory (-11) = 0 CORRECTING DEFECT 24 (vertices=30, convex hull=52, v0=111904) After retessellation of defect 24 (v0=111904), euler #=-10 (137038,410819,273771) : difference with theory (-10) = 0 CORRECTING DEFECT 25 (vertices=39, convex hull=86, v0=112736) After retessellation of defect 25 (v0=112736), euler #=-9 (137058,410917,273850) : difference with theory (-9) = 0 CORRECTING DEFECT 26 (vertices=308, convex hull=51, v0=114242) After retessellation of defect 26 (v0=114242), euler #=-8 (137076,410990,273906) : difference with theory (-8) = 0 CORRECTING DEFECT 27 (vertices=28, convex hull=61, v0=116708) After retessellation of defect 27 (v0=116708), euler #=-7 (137091,411056,273958) : difference with theory (-7) = 0 CORRECTING DEFECT 28 (vertices=44, convex hull=34, v0=117839) After retessellation of defect 28 (v0=117839), euler #=-6 (137100,411093,273987) : difference with theory (-6) = 0 CORRECTING DEFECT 29 (vertices=103, convex hull=36, v0=118508) After retessellation of defect 29 (v0=118508), euler #=-5 (137109,411133,274019) : difference with theory (-5) = 0 CORRECTING DEFECT 30 (vertices=28, convex hull=33, v0=119420) After retessellation of defect 30 (v0=119420), euler #=-4 (137110,411152,274038) : difference with theory (-4) = 0 CORRECTING DEFECT 31 (vertices=57, convex hull=102, v0=121247) After retessellation of defect 31 (v0=121247), euler #=-3 (137143,411296,274150) : difference with theory (-3) = 0 CORRECTING DEFECT 32 (vertices=29, convex hull=61, v0=129701) After retessellation of defect 32 (v0=129701), euler #=-2 (137157,411364,274205) : difference with theory (-2) = 0 CORRECTING DEFECT 33 (vertices=81, convex hull=37, v0=130818) After retessellation of defect 33 (v0=130818), euler #=-1 (137166,411406,274239) : difference with theory (-1) = 0 CORRECTING DEFECT 34 (vertices=18, convex hull=36, v0=130883) After retessellation of defect 34 (v0=130883), euler #=0 (137173,411438,274265) : difference with theory (0) = 0 CORRECTING DEFECT 35 (vertices=65, convex hull=101, v0=134664) After retessellation of defect 35 (v0=134664), euler #=1 (137211,411595,274385) : difference with theory (1) = 0 CORRECTING DEFECT 36 (vertices=31, convex hull=72, v0=137925) After retessellation of defect 36 (v0=137925), euler #=2 (137225,411669,274446) : difference with theory (2) = 0 computing original vertex metric properties... storing new metric properties... computing tessellation statistics... vertex spacing 0.88 +- 0.22 (0.07-->8.18) (max @ vno 53888 --> 57460) face area 0.00 +- 0.00 (0.00-->0.00) performing soap bubble on retessellated vertices for 0 iterations... vertex spacing 0.88 +- 0.22 (0.07-->8.18) (max @ vno 53888 --> 57460) face area 0.00 +- 0.00 (0.00-->0.00) tessellation finished, orienting corrected surface... 126 mutations (36.0%), 224 crossovers (64.0%), 62 vertices were eliminated building final representation... 1741 vertices and 0 faces have been removed from triangulation after topology correction, eno=2 (nv=137225, nf=274446, ne=411669, g=0) writing corrected surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.orig... 0.000 % of the vertices (0 vertices) exhibit an orientation change topology fixing took 20.3 minutes 0 defective edges removing intersecting faces 000: 160 intersecting mris_fix_topology utimesec 1216.166114 mris_fix_topology stimesec 0.221966 mris_fix_topology ru_maxrss 428588 mris_fix_topology ru_ixrss 0 mris_fix_topology ru_idrss 0 mris_fix_topology ru_isrss 0 mris_fix_topology ru_minflt 52772 mris_fix_topology ru_majflt 0 mris_fix_topology ru_nswap 0 mris_fix_topology ru_inblock 0 mris_fix_topology ru_oublock 12920 mris_fix_topology ru_msgsnd 0 mris_fix_topology ru_msgrcv 0 mris_fix_topology ru_nsignals 0 mris_fix_topology ru_nvcsw 280 mris_fix_topology ru_nivcsw 1958 FSRUNTIME@ mris_fix_topology rh 0.3381 hours 1 threads @#@FSTIME 2017:01:19:11:29:23 mris_fix_topology N 10 e 1217.19 S 0.22 U 1216.16 P 99% M 428588 F 0 R 52777 W 0 c 1960 w 285 I 0 O 12928 L 5.17 5.08 5.01 @#@FSLOADPOST 2017:01:19:11:49:40 mris_fix_topology N 10 5.00 5.00 5.00 mris_euler_number ../surf/lh.orig euler # = v-e+f = 2g-2: 136995 - 410979 + 273986 = 2 --> 0 holes F =2V-4: 273986 = 273990-4 (0) 2E=3F: 821958 = 821958 (0) total defect index = 0 mris_euler_number ../surf/rh.orig euler # = v-e+f = 2g-2: 137225 - 411669 + 274446 = 2 --> 0 holes F =2V-4: 274446 = 274450-4 (0) 2E=3F: 823338 = 823338 (0) total defect index = 0 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_remove_intersection ../surf/lh.orig ../surf/lh.orig intersection removal took 0.00 hours removing intersecting faces 000: 34 intersecting writing corrected surface to ../surf/lh.orig @#@FSTIME 2017:01:19:11:49:44 mris_remove_intersection N 2 e 4.54 S 0.12 U 3.42 P 77% M 215520 F 12 R 32854 W 0 c 322 w 201 I 10104 O 9640 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:11:49:48 mris_remove_intersection N 2 4.92 4.98 4.99 rm ../surf/lh.inflated /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_remove_intersection ../surf/rh.orig ../surf/rh.orig intersection removal took 0.00 hours removing intersecting faces 000: 12 intersecting writing corrected surface to ../surf/rh.orig @#@FSTIME 2017:01:19:11:49:48 mris_remove_intersection N 2 e 3.59 S 0.12 U 3.31 P 95% M 214908 F 0 R 37379 W 0 c 160 w 202 I 0 O 9656 L 4.92 4.98 4.99 @#@FSLOADPOST 2017:01:19:11:49:52 mris_remove_intersection N 2 4.93 4.98 4.99 rm ../surf/rh.inflated #-------------------------------------------- #@# Make White Surf lh Thu Jan 19 11:49:52 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_make_surfaces -aseg ../mri/aseg.presurf -white white.preaparc -noaparc -whiteonly -mgz -T1 brain.finalsurfs 111 lh using white.preaparc as white matter name... only generating white matter surface using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline not using aparc to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... 26392 bright wm thresholded. 2883 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.orig... computing class statistics... border white: 266906 voxels (1.59%) border gray 292615 voxels (1.74%) WM (97.0): 97.5 +- 9.1 [70.0 --> 110.0] GM (69.0) : 68.4 +- 10.9 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 53.1 (was 70) setting MAX_BORDER_WHITE to 111.1 (was 105) setting MIN_BORDER_WHITE to 64.0 (was 85) setting MAX_CSF to 42.3 (was 40) setting MAX_GRAY to 92.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 53.1 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 31.4 (was 40) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.82 +- 0.22 (0.03-->2.94) (max @ vno 81981 --> 136613) face area 0.28 +- 0.12 (0.00-->1.94) mean absolute distance = 0.82 +- 1.01 3225 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=102+-6.1, GM=64+-8.7 mean inside = 92.1, mean outside = 71.7 smoothing surface for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 4 vertex label from ripped group mean border=76.2, 213 (213) missing vertices, mean dist 0.3 [0.8 (%31.8)->0.8 (%68.2))] %52 local maxima, %43 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 0 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.92 +- 0.25 (0.08-->4.11) (max @ vno 92766 --> 92783) face area 0.28 +- 0.13 (0.00-->1.59) mean absolute distance = 0.40 +- 0.65 3499 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=4398251.5, rms=12.167 001: dt: 0.5000, sse=2494014.8, rms=8.686 (28.605%) 002: dt: 0.5000, sse=1603457.0, rms=6.388 (26.455%) 003: dt: 0.5000, sse=1159572.9, rms=4.918 (23.020%) 004: dt: 0.5000, sse=976660.1, rms=4.086 (16.904%) 005: dt: 0.5000, sse=891224.9, rms=3.720 (8.977%) 006: dt: 0.5000, sse=857181.9, rms=3.549 (4.593%) rms = 3.50, time step reduction 1 of 3 to 0.250... 007: dt: 0.5000, sse=856210.1, rms=3.499 (1.398%) 008: dt: 0.2500, sse=675878.1, rms=2.254 (35.584%) 009: dt: 0.2500, sse=639179.9, rms=1.912 (15.169%) 010: dt: 0.2500, sse=631791.2, rms=1.819 (4.877%) 011: dt: 0.2500, sse=626716.6, rms=1.762 (3.146%) rms = 1.74, time step reduction 2 of 3 to 0.125... 012: dt: 0.2500, sse=624279.4, rms=1.737 (1.388%) 013: dt: 0.1250, sse=616742.8, rms=1.646 (5.266%) rms = 1.64, time step reduction 3 of 3 to 0.062... 014: dt: 0.1250, sse=615764.4, rms=1.636 (0.575%) positioning took 1.5 minutes inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 2 vertex label from ripped group removing 4 vertex label from ripped group removing 4 vertex label from ripped group removing 4 vertex label from ripped group mean border=80.1, 217 (118) missing vertices, mean dist -0.3 [0.5 (%72.9)->0.2 (%27.1))] %66 local maxima, %28 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.90 +- 0.24 (0.09-->4.53) (max @ vno 92766 --> 92783) face area 0.35 +- 0.16 (0.00-->2.54) mean absolute distance = 0.29 +- 0.42 3480 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1522514.0, rms=5.657 015: dt: 0.5000, sse=1045984.6, rms=3.702 (34.549%) 016: dt: 0.5000, sse=1013466.9, rms=3.565 (3.709%) 017: dt: 0.5000, sse=986787.9, rms=3.420 (4.068%) rms = 3.58, time step reduction 1 of 3 to 0.250... 018: dt: 0.2500, sse=824659.0, rms=2.296 (32.869%) 019: dt: 0.2500, sse=768280.3, rms=1.727 (24.782%) 020: dt: 0.2500, sse=752034.8, rms=1.524 (11.773%) 021: dt: 0.2500, sse=746488.7, rms=1.453 (4.632%) rms = 1.41, time step reduction 2 of 3 to 0.125... 022: dt: 0.2500, sse=742092.3, rms=1.413 (2.789%) 023: dt: 0.1250, sse=736541.1, rms=1.332 (5.723%) rms = 1.33, time step reduction 3 of 3 to 0.062... 024: dt: 0.1250, sse=736683.1, rms=1.326 (0.465%) positioning took 1.1 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group removing 3 vertex label from ripped group removing 2 vertex label from ripped group mean border=83.5, 211 (112) missing vertices, mean dist -0.2 [0.3 (%74.4)->0.2 (%25.6))] %82 local maxima, %13 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.89 +- 0.24 (0.08-->4.74) (max @ vno 92766 --> 92783) face area 0.34 +- 0.16 (0.00-->2.76) mean absolute distance = 0.22 +- 0.32 2711 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1133048.9, rms=4.249 025: dt: 0.5000, sse=916059.0, rms=3.086 (27.370%) rms = 3.31, time step reduction 1 of 3 to 0.250... 026: dt: 0.2500, sse=777776.4, rms=2.056 (33.364%) 027: dt: 0.2500, sse=727601.0, rms=1.512 (26.476%) 028: dt: 0.2500, sse=714076.8, rms=1.324 (12.438%) rms = 1.30, time step reduction 2 of 3 to 0.125... 029: dt: 0.2500, sse=710337.2, rms=1.301 (1.754%) 030: dt: 0.1250, sse=703905.9, rms=1.201 (7.646%) rms = 1.20, time step reduction 3 of 3 to 0.062... 031: dt: 0.1250, sse=703933.3, rms=1.196 (0.395%) positioning took 0.8 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group mean border=84.6, 219 (112) missing vertices, mean dist -0.1 [0.2 (%58.4)->0.2 (%41.6))] %86 local maxima, % 8 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white.preaparc... writing smoothed curvature to lh.curv 000: dt: 0.0000, sse=740450.8, rms=1.841 rms = 2.11, time step reduction 1 of 3 to 0.250... 032: dt: 0.2500, sse=690432.2, rms=1.209 (34.315%) 033: dt: 0.2500, sse=678534.6, rms=0.884 (26.915%) rms = 0.91, time step reduction 2 of 3 to 0.125... rms = 0.88, time step reduction 3 of 3 to 0.062... 034: dt: 0.1250, sse=674196.2, rms=0.877 (0.746%) positioning took 0.5 minutes generating cortex label... 14 non-cortical segments detected only using segment with 7909 vertices erasing segment 1 (vno[0] = 49514) erasing segment 2 (vno[0] = 54826) erasing segment 3 (vno[0] = 76675) erasing segment 4 (vno[0] = 93576) erasing segment 5 (vno[0] = 93588) erasing segment 6 (vno[0] = 93842) erasing segment 7 (vno[0] = 96139) erasing segment 8 (vno[0] = 96147) erasing segment 9 (vno[0] = 97080) erasing segment 10 (vno[0] = 99079) erasing segment 11 (vno[0] = 99204) erasing segment 12 (vno[0] = 101061) erasing segment 13 (vno[0] = 109565) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.curv writing smoothed area to lh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.area vertex spacing 0.89 +- 0.25 (0.03-->4.75) (max @ vno 92766 --> 92783) face area 0.33 +- 0.16 (0.00-->2.83) refinement took 6.0 minutes @#@FSTIME 2017:01:19:11:49:52 mris_make_surfaces N 11 e 357.12 S 2.37 U 354.06 P 99% M 507020 F 0 R 972589 W 0 c 971 w 595 I 0 O 22992 L 4.93 4.98 4.99 @#@FSLOADPOST 2017:01:19:11:55:49 mris_make_surfaces N 11 5.07 5.00 5.00 #-------------------------------------------- #@# Make White Surf rh Thu Jan 19 11:55:49 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_make_surfaces -aseg ../mri/aseg.presurf -white white.preaparc -noaparc -whiteonly -mgz -T1 brain.finalsurfs 111 rh using white.preaparc as white matter name... only generating white matter surface using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline not using aparc to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... 26392 bright wm thresholded. 2883 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.orig... computing class statistics... border white: 266906 voxels (1.59%) border gray 292615 voxels (1.74%) WM (97.0): 97.5 +- 9.1 [70.0 --> 110.0] GM (69.0) : 68.4 +- 10.9 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 53.1 (was 70) setting MAX_BORDER_WHITE to 113.1 (was 105) setting MIN_BORDER_WHITE to 64.0 (was 85) setting MAX_CSF to 42.3 (was 40) setting MAX_GRAY to 94.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 53.1 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 31.4 (was 40) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.82 +- 0.22 (0.02-->3.84) (max @ vno 53888 --> 57460) face area 0.28 +- 0.12 (0.00-->1.67) mean absolute distance = 0.80 +- 0.98 2870 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=104+-7.8, GM=64+-9.6 mean inside = 92.2, mean outside = 72.0 smoothing surface for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 4 vertex label from ripped group mean border=76.4, 51 (51) missing vertices, mean dist 0.3 [0.8 (%31.7)->0.8 (%68.3))] %53 local maxima, %42 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 1 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.92 +- 0.25 (0.11-->5.09) (max @ vno 53888 --> 53889) face area 0.28 +- 0.13 (0.00-->2.15) mean absolute distance = 0.41 +- 0.67 3636 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=4368890.0, rms=12.075 001: dt: 0.5000, sse=2470068.8, rms=8.605 (28.737%) 002: dt: 0.5000, sse=1578984.8, rms=6.330 (26.442%) 003: dt: 0.5000, sse=1149328.5, rms=4.872 (23.034%) 004: dt: 0.5000, sse=958192.3, rms=4.048 (16.906%) 005: dt: 0.5000, sse=883124.1, rms=3.672 (9.291%) 006: dt: 0.5000, sse=852457.4, rms=3.505 (4.557%) 007: dt: 0.5000, sse=842637.3, rms=3.447 (1.635%) rms = 3.41, time step reduction 1 of 3 to 0.250... 008: dt: 0.5000, sse=836189.4, rms=3.405 (1.217%) 009: dt: 0.2500, sse=665264.9, rms=2.141 (37.131%) 010: dt: 0.2500, sse=629939.1, rms=1.787 (16.509%) 011: dt: 0.2500, sse=623488.6, rms=1.709 (4.410%) 012: dt: 0.2500, sse=618889.6, rms=1.656 (3.090%) rms = 1.64, time step reduction 2 of 3 to 0.125... 013: dt: 0.2500, sse=618530.2, rms=1.640 (0.932%) 014: dt: 0.1250, sse=610367.2, rms=1.542 (6.015%) rms = 1.53, time step reduction 3 of 3 to 0.062... 015: dt: 0.1250, sse=609566.5, rms=1.533 (0.565%) positioning took 1.6 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group mean border=80.3, 33 (4) missing vertices, mean dist -0.3 [0.5 (%71.3)->0.2 (%28.7))] %67 local maxima, %28 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.90 +- 0.24 (0.07-->5.33) (max @ vno 53888 --> 53889) face area 0.35 +- 0.16 (0.00-->3.10) mean absolute distance = 0.29 +- 0.42 3394 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1549156.1, rms=5.713 016: dt: 0.5000, sse=1065893.9, rms=3.772 (33.966%) 017: dt: 0.5000, sse=1017222.9, rms=3.546 (5.990%) 018: dt: 0.5000, sse=982869.9, rms=3.375 (4.817%) rms = 3.54, time step reduction 1 of 3 to 0.250... 019: dt: 0.2500, sse=825370.5, rms=2.257 (33.149%) 020: dt: 0.2500, sse=769080.8, rms=1.688 (25.177%) 021: dt: 0.2500, sse=752659.9, rms=1.488 (11.864%) 022: dt: 0.2500, sse=748074.5, rms=1.426 (4.198%) rms = 1.39, time step reduction 2 of 3 to 0.125... 023: dt: 0.2500, sse=745357.4, rms=1.387 (2.726%) 024: dt: 0.1250, sse=739574.9, rms=1.300 (6.272%) rms = 1.30, time step reduction 3 of 3 to 0.062... 025: dt: 0.1250, sse=739243.0, rms=1.295 (0.358%) positioning took 1.1 minutes inhibiting deformation at non-cortical midline structures... mean border=83.7, 38 (2) missing vertices, mean dist -0.2 [0.3 (%74.3)->0.2 (%25.7))] %82 local maxima, %13 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.89 +- 0.24 (0.06-->5.44) (max @ vno 53888 --> 53889) face area 0.34 +- 0.16 (0.00-->3.20) mean absolute distance = 0.22 +- 0.32 2680 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1148347.5, rms=4.282 026: dt: 0.5000, sse=915850.9, rms=3.042 (28.951%) rms = 3.26, time step reduction 1 of 3 to 0.250... 027: dt: 0.2500, sse=781874.8, rms=2.040 (32.953%) 028: dt: 0.2500, sse=730318.9, rms=1.484 (27.239%) 029: dt: 0.2500, sse=716158.2, rms=1.292 (12.932%) rms = 1.27, time step reduction 2 of 3 to 0.125... 030: dt: 0.2500, sse=714028.3, rms=1.270 (1.711%) 031: dt: 0.1250, sse=707900.6, rms=1.167 (8.100%) rms = 1.17, time step reduction 3 of 3 to 0.062... 032: dt: 0.1250, sse=707647.3, rms=1.166 (0.103%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... mean border=84.8, 56 (0) missing vertices, mean dist -0.1 [0.2 (%58.9)->0.2 (%41.1))] %86 local maxima, % 9 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white.preaparc... writing smoothed curvature to rh.curv 000: dt: 0.0000, sse=749160.8, rms=1.868 rms = 2.07, time step reduction 1 of 3 to 0.250... 033: dt: 0.2500, sse=697626.3, rms=1.229 (34.244%) 034: dt: 0.2500, sse=679097.8, rms=0.859 (30.092%) rms = 0.87, time step reduction 2 of 3 to 0.125... rms = 0.85, time step reduction 3 of 3 to 0.062... 035: dt: 0.1250, sse=677697.1, rms=0.854 (0.601%) positioning took 0.5 minutes generating cortex label... 9 non-cortical segments detected only using segment with 8010 vertices erasing segment 1 (vno[0] = 93367) erasing segment 2 (vno[0] = 94442) erasing segment 3 (vno[0] = 97409) erasing segment 4 (vno[0] = 97484) erasing segment 5 (vno[0] = 97535) erasing segment 6 (vno[0] = 98239) erasing segment 7 (vno[0] = 99366) erasing segment 8 (vno[0] = 102005) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.curv writing smoothed area to rh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.area vertex spacing 0.89 +- 0.25 (0.03-->5.46) (max @ vno 53888 --> 53889) face area 0.34 +- 0.16 (0.00-->3.17) refinement took 6.2 minutes @#@FSTIME 2017:01:19:11:55:49 mris_make_surfaces N 11 e 373.94 S 2.40 U 370.86 P 99% M 504068 F 0 R 964563 W 0 c 1006 w 541 I 0 O 22776 L 5.07 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:02:03 mris_make_surfaces N 11 5.01 5.01 5.00 #-------------------------------------------- #@# Smooth2 lh Thu Jan 19 12:02:03 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_smooth -n 3 -nw -seed 1234 ../surf/lh.white.preaparc ../surf/lh.smoothwm smoothing for 3 iterations setting seed for random number generator to 1234 smoothing surface tessellation for 3 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:12:02:03 mris_smooth N 7 e 6.96 S 0.10 U 6.69 P 97% M 175808 F 0 R 22615 W 0 c 167 w 229 I 0 O 9640 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:12:02:10 mris_smooth N 7 5.01 5.01 5.00 #-------------------------------------------- #@# Smooth2 rh Thu Jan 19 12:02:11 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_smooth -n 3 -nw -seed 1234 ../surf/rh.white.preaparc ../surf/rh.smoothwm smoothing for 3 iterations setting seed for random number generator to 1234 smoothing surface tessellation for 3 iterations... smoothing complete - recomputing first and second fundamental forms... @#@FSTIME 2017:01:19:12:02:11 mris_smooth N 7 e 6.61 S 0.09 U 6.37 P 97% M 175904 F 0 R 22638 W 0 c 167 w 241 I 0 O 9656 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:12:02:17 mris_smooth N 7 5.01 5.00 5.00 #-------------------------------------------- #@# Inflation2 lh Thu Jan 19 12:02:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_inflate -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_inflate.lh.dat ../surf/lh.smoothwm ../surf/lh.inflated Reading ../surf/lh.smoothwm avg radius = 49.4 mm, total surface area = 82842 mm^2 writing inflated surface to ../surf/lh.inflated writing sulcal depths to ../surf/lh.sulc step 000: RMS=0.176 (target=0.015) step 005: RMS=0.122 (target=0.015) step 010: RMS=0.089 (target=0.015) step 015: RMS=0.073 (target=0.015) step 020: RMS=0.060 (target=0.015) step 025: RMS=0.050 (target=0.015) step 030: RMS=0.043 (target=0.015) step 035: RMS=0.036 (target=0.015) step 040: RMS=0.031 (target=0.015) step 045: RMS=0.029 (target=0.015) step 050: RMS=0.026 (target=0.015) step 055: RMS=0.024 (target=0.015) step 060: RMS=0.023 (target=0.015) inflation complete. inflation took 1.0 minutes mris_inflate utimesec 58.082170 mris_inflate stimesec 0.096985 mris_inflate ru_maxrss 175864 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 22634 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 10712 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 178 mris_inflate ru_nivcsw 282 @#@FSTIME 2017:01:19:12:02:17 mris_inflate N 4 e 58.43 S 0.10 U 58.08 P 99% M 175864 F 0 R 22638 W 0 c 285 w 188 I 0 O 10720 L 5.01 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:03:16 mris_inflate N 4 5.00 5.00 5.00 #-------------------------------------------- #@# Inflation2 rh Thu Jan 19 12:03:16 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_inflate -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_inflate.rh.dat ../surf/rh.smoothwm ../surf/rh.inflated Reading ../surf/rh.smoothwm avg radius = 48.7 mm, total surface area = 83425 mm^2 writing inflated surface to ../surf/rh.inflated writing sulcal depths to ../surf/rh.sulc step 000: RMS=0.177 (target=0.015) step 005: RMS=0.123 (target=0.015) step 010: RMS=0.091 (target=0.015) step 015: RMS=0.074 (target=0.015) step 020: RMS=0.062 (target=0.015) step 025: RMS=0.051 (target=0.015) step 030: RMS=0.043 (target=0.015) step 035: RMS=0.037 (target=0.015) step 040: RMS=0.033 (target=0.015) step 045: RMS=0.029 (target=0.015) step 050: RMS=0.026 (target=0.015) step 055: RMS=0.023 (target=0.015) step 060: RMS=0.022 (target=0.015) inflation complete. inflation took 1.0 minutes mris_inflate utimesec 57.408272 mris_inflate stimesec 0.103984 mris_inflate ru_maxrss 175952 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 22656 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 10736 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 267 mris_inflate ru_nivcsw 260 @#@FSTIME 2017:01:19:12:03:16 mris_inflate N 4 e 57.73 S 0.11 U 57.40 P 99% M 175952 F 0 R 22660 W 0 c 262 w 272 I 0 O 10744 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:04:14 mris_inflate N 4 5.00 5.00 5.00 #-------------------------------------------- #@# Curv .H and .K lh Thu Jan 19 12:04:14 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf mris_curvature -w lh.white.preaparc total integrated curvature = -4.030*4pi (-50.642) --> 5 handles ICI = 157.7, FI = 1942.5, variation=29779.097 writing Gaussian curvature to ./lh.white.preaparc.K...done. writing mean curvature to ./lh.white.preaparc.H...done. @#@FSTIME 2017:01:19:12:04:14 mris_curvature N 2 e 3.59 S 0.08 U 3.39 P 96% M 175524 F 0 R 22524 W 0 c 49 w 60 I 0 O 2144 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:04:18 mris_curvature N 2 5.00 5.00 5.00 rm -f lh.white.H ln -s lh.white.preaparc.H lh.white.H rm -f lh.white.K ln -s lh.white.preaparc.K lh.white.K mris_curvature -thresh .999 -n -a 5 -w -distances 10 10 lh.inflated normalizing curvature values. averaging curvature patterns 5 times. sampling 10 neighbors out to a distance of 10 mm 242 vertices thresholded to be in k1 ~ [-0.49 0.44], k2 ~ [-0.12 0.08] total integrated curvature = 0.531*4pi (6.669) --> 0 handles ICI = 1.4, FI = 9.3, variation=156.667 131 vertices thresholded to be in [-0.03 0.02] writing Gaussian curvature to ./lh.inflated.K...thresholding curvature at 99.90% level curvature mean = 0.000, std = 0.001 122 vertices thresholded to be in [-0.16 0.22] done. writing mean curvature to ./lh.inflated.H...curvature mean = -0.017, std = 0.022 done. @#@FSTIME 2017:01:19:12:04:18 mris_curvature N 10 e 89.07 S 0.26 U 88.63 P 99% M 338952 F 0 R 63381 W 0 c 194 w 60 I 0 O 2144 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:05:47 mris_curvature N 10 5.00 5.00 5.00 #-------------------------------------------- #@# Curv .H and .K rh Thu Jan 19 12:05:47 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf mris_curvature -w rh.white.preaparc total integrated curvature = -1.853*4pi (-23.290) --> 3 handles ICI = 157.8, FI = 1687.0, variation=26521.278 writing Gaussian curvature to ./rh.white.preaparc.K...done. writing mean curvature to ./rh.white.preaparc.H...done. @#@FSTIME 2017:01:19:12:05:47 mris_curvature N 2 e 3.79 S 0.08 U 3.57 P 96% M 175620 F 0 R 22547 W 0 c 48 w 62 I 0 O 2160 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:05:51 mris_curvature N 2 5.00 5.00 5.00 rm -f rh.white.H ln -s rh.white.preaparc.H rh.white.H rm -f rh.white.K ln -s rh.white.preaparc.K rh.white.K mris_curvature -thresh .999 -n -a 5 -w -distances 10 10 rh.inflated normalizing curvature values. averaging curvature patterns 5 times. sampling 10 neighbors out to a distance of 10 mm 165 vertices thresholded to be in k1 ~ [-0.19 0.82], k2 ~ [-0.08 0.20] total integrated curvature = 0.570*4pi (7.159) --> 0 handles ICI = 1.4, FI = 9.1, variation=155.040 110 vertices thresholded to be in [-0.01 0.01] writing Gaussian curvature to ./rh.inflated.K...thresholding curvature at 99.90% level curvature mean = 0.000, std = 0.001 117 vertices thresholded to be in [-0.11 0.30] done. writing mean curvature to ./rh.inflated.H...curvature mean = -0.016, std = 0.022 done. @#@FSTIME 2017:01:19:12:05:51 mris_curvature N 10 e 91.29 S 0.31 U 90.81 P 99% M 339332 F 0 R 63476 W 0 c 187 w 76 I 0 O 2160 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:07:22 mris_curvature N 10 5.00 5.00 5.00 #----------------------------------------- #@# Curvature Stats lh Thu Jan 19 12:07:23 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf mris_curvature_stats -m --writeCurvatureFiles -G -o ../stats/lh.curv.stats -F smoothwm 111 lh curv sulc Toggling save flag on curvature files [ ok ] Outputting results using filestem [ ../stats/lh.curv.stats ] Toggling save flag on curvature files [ ok ] Setting surface [ 111/lh.smoothwm ] Reading surface... [ ok ] Setting texture [ curv ] Reading texture... [ ok ] Setting texture [ sulc ] Reading texture...Gb_filter = 0 [ ok ] Calculating Discrete Principal Curvatures... Determining geometric order for vertex faces... [####################] [ ok ] Determining KH curvatures... [####################] [ ok ] Determining k1k2 curvatures... [####################] [ ok ] deltaViolations [ 247 ] Gb_filter = 0 WARN: S lookup min: -0.178655 WARN: S explicit min: 0.000000 vertex = 977 @#@FSTIME 2017:01:19:12:07:23 mris_curvature_stats N 11 e 5.31 S 0.10 U 4.86 P 93% M 175904 F 0 R 22701 W 0 c 248 w 244 I 0 O 8616 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:12:07:28 mris_curvature_stats N 11 5.08 5.02 5.01 #----------------------------------------- #@# Curvature Stats rh Thu Jan 19 12:07:28 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf mris_curvature_stats -m --writeCurvatureFiles -G -o ../stats/rh.curv.stats -F smoothwm 111 rh curv sulc Toggling save flag on curvature files [ ok ] Outputting results using filestem [ ../stats/rh.curv.stats ] Toggling save flag on curvature files [ ok ] Setting surface [ 111/rh.smoothwm ] Reading surface... [ ok ] Setting texture [ curv ] Reading texture... [ ok ] Setting texture [ sulc ] Reading texture...Gb_filter = 0 [ ok ] Calculating Discrete Principal Curvatures... Determining geometric order for vertex faces... [####################] [ ok ] Determining KH curvatures... [####################] [ ok ] Determining k1k2 curvatures... [####################] [ ok ] deltaViolations [ 218 ] Gb_filter = 0 WARN: S lookup min: -0.170265 WARN: S explicit min: 0.000000 vertex = 183 @#@FSTIME 2017:01:19:12:07:28 mris_curvature_stats N 11 e 5.41 S 0.09 U 5.00 P 94% M 175988 F 0 R 22721 W 0 c 243 w 217 I 0 O 8680 L 5.08 5.02 5.01 @#@FSLOADPOST 2017:01:19:12:07:33 mris_curvature_stats N 11 5.07 5.02 5.00 #-------------------------------------------- #@# Sphere lh Thu Jan 19 12:07:34 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_sphere -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_sphere.lh.dat -seed 1234 ../surf/lh.inflated ../surf/lh.sphere setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.293... MRISunfold() max_passes = 1 ------- tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=2, l_area=1.000, l_dist=1.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 1.000000 desired_rms_height -1.000000 momentum 0.900000 nbhd_size 7 max_nbrs 8 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 0 randomSeed 1234 -------------------- mrisRemoveNegativeArea() pass 1: epoch 1 of 3 starting distance error %19.70 pass 1: epoch 2 of 3 starting distance error %19.67 unfolding complete - removing small folds... starting distance error %19.55 removing remaining folds... final distance error %19.57 MRISunfold() return, current seed 1234 -01: dt=0.0000, 330 negative triangles 186: dt=0.9900, 330 negative triangles 187: dt=0.9900, 275 negative triangles 188: dt=0.9900, 275 negative triangles 189: dt=0.9900, 268 negative triangles 190: dt=0.9900, 269 negative triangles 191: dt=0.9900, 261 negative triangles 192: dt=0.9900, 264 negative triangles 193: dt=0.9900, 262 negative triangles 194: dt=0.9900, 267 negative triangles 195: dt=0.9900, 266 negative triangles 196: dt=0.9900, 269 negative triangles 197: dt=0.9900, 276 negative triangles 198: dt=0.9900, 262 negative triangles 199: dt=0.9900, 270 negative triangles 200: dt=0.9900, 261 negative triangles 201: dt=0.9405, 263 negative triangles 202: dt=0.9405, 256 negative triangles 203: dt=0.9405, 254 negative triangles 204: dt=0.9405, 256 negative triangles 205: dt=0.9405, 256 negative triangles 206: dt=0.9405, 254 negative triangles 207: dt=0.9405, 239 negative triangles 208: dt=0.9405, 244 negative triangles 209: dt=0.9405, 238 negative triangles 210: dt=0.9405, 241 negative triangles 211: dt=0.9405, 229 negative triangles 212: dt=0.9405, 228 negative triangles 213: dt=0.9405, 227 negative triangles 214: dt=0.9405, 222 negative triangles 215: dt=0.9405, 222 negative triangles 216: dt=0.9405, 229 negative triangles 217: dt=0.9405, 217 negative triangles 218: dt=0.9405, 214 negative triangles 219: dt=0.9405, 218 negative triangles 220: dt=0.9405, 213 negative triangles 221: dt=0.9405, 212 negative triangles 222: dt=0.9405, 207 negative triangles 223: dt=0.9405, 217 negative triangles 224: dt=0.9405, 199 negative triangles 225: dt=0.9405, 211 negative triangles 226: dt=0.9405, 202 negative triangles 227: dt=0.9405, 202 negative triangles 228: dt=0.9405, 198 negative triangles 229: dt=0.9405, 200 negative triangles 230: dt=0.9405, 196 negative triangles 231: dt=0.9405, 194 negative triangles 232: dt=0.9405, 210 negative triangles 233: dt=0.9405, 189 negative triangles 234: dt=0.9405, 201 negative triangles 235: dt=0.9405, 200 negative triangles 236: dt=0.9405, 201 negative triangles 237: dt=0.9405, 201 negative triangles 238: dt=0.9405, 203 negative triangles 239: dt=0.9405, 205 negative triangles 240: dt=0.9405, 204 negative triangles 241: dt=0.9405, 201 negative triangles 242: dt=0.9405, 201 negative triangles 243: dt=0.8935, 196 negative triangles 244: dt=0.8935, 200 negative triangles 245: dt=0.8935, 196 negative triangles 246: dt=0.8935, 202 negative triangles 247: dt=0.8935, 200 negative triangles 248: dt=0.8935, 208 negative triangles 249: dt=0.8935, 201 negative triangles 250: dt=0.8935, 204 negative triangles 251: dt=0.8935, 196 negative triangles 252: dt=0.8935, 207 negative triangles 253: dt=0.8488, 210 negative triangles 254: dt=0.8488, 208 negative triangles 255: dt=0.8488, 203 negative triangles 256: dt=0.8488, 206 negative triangles 257: dt=0.8488, 207 negative triangles 258: dt=0.8488, 212 negative triangles 259: dt=0.8488, 210 negative triangles 260: dt=0.8488, 213 negative triangles 261: dt=0.8488, 208 negative triangles 262: dt=0.8488, 212 negative triangles 263: dt=0.8064, 218 negative triangles 264: dt=0.8064, 211 negative triangles 265: dt=0.8064, 212 negative triangles 266: dt=0.8064, 218 negative triangles 267: dt=0.8064, 216 negative triangles 268: dt=0.8064, 222 negative triangles 269: dt=0.8064, 225 negative triangles 270: dt=0.8064, 225 negative triangles 271: dt=0.8064, 217 negative triangles 272: dt=0.8064, 221 negative triangles 273: dt=0.7660, 217 negative triangles 274: dt=0.7660, 223 negative triangles 275: dt=0.7660, 215 negative triangles 276: dt=0.7660, 222 negative triangles 277: dt=0.7660, 217 negative triangles 278: dt=0.7660, 224 negative triangles 279: dt=0.7660, 219 negative triangles 280: dt=0.7660, 224 negative triangles 281: dt=0.7660, 223 negative triangles 282: dt=0.7660, 223 negative triangles 283: dt=0.7277, 225 negative triangles expanding nbhd size to 1 284: dt=0.9900, 226 negative triangles 285: dt=0.9900, 225 negative triangles 286: dt=0.9900, 216 negative triangles 287: dt=0.9900, 216 negative triangles 288: dt=0.9900, 219 negative triangles 289: dt=0.9900, 217 negative triangles 290: dt=0.9900, 217 negative triangles 291: dt=0.9900, 221 negative triangles 292: dt=0.9900, 221 negative triangles 293: dt=0.9405, 223 negative triangles 294: dt=0.9405, 219 negative triangles 295: dt=0.9405, 223 negative triangles 296: dt=0.9405, 225 negative triangles 297: dt=0.9405, 224 negative triangles 298: dt=0.9405, 222 negative triangles 299: dt=0.9405, 220 negative triangles 300: dt=0.9405, 221 negative triangles 301: dt=0.9405, 222 negative triangles 302: dt=0.9405, 223 negative triangles 303: dt=0.8935, 223 negative triangles 304: dt=0.8935, 224 negative triangles 305: dt=0.8935, 226 negative triangles 306: dt=0.8935, 224 negative triangles 307: dt=0.8935, 227 negative triangles 308: dt=0.8935, 226 negative triangles 309: dt=0.8935, 226 negative triangles 310: dt=0.8935, 226 negative triangles 311: dt=0.8935, 234 negative triangles 312: dt=0.8935, 229 negative triangles 313: dt=0.8488, 231 negative triangles 314: dt=0.8488, 231 negative triangles 315: dt=0.8488, 230 negative triangles 316: dt=0.8488, 227 negative triangles 317: dt=0.8488, 231 negative triangles 318: dt=0.8488, 228 negative triangles 319: dt=0.8488, 230 negative triangles 320: dt=0.8488, 231 negative triangles 321: dt=0.8488, 233 negative triangles 322: dt=0.8488, 232 negative triangles 323: dt=0.8064, 232 negative triangles 324: dt=0.8064, 235 negative triangles 325: dt=0.8064, 235 negative triangles 326: dt=0.8064, 233 negative triangles 327: dt=0.8064, 234 negative triangles 328: dt=0.8064, 232 negative triangles 329: dt=0.8064, 234 negative triangles 330: dt=0.8064, 234 negative triangles 331: dt=0.8064, 234 negative triangles 332: dt=0.8064, 237 negative triangles 333: dt=0.7660, 234 negative triangles 334: dt=0.7660, 235 negative triangles 335: dt=0.7660, 236 negative triangles 336: dt=0.7660, 238 negative triangles 337: dt=0.7660, 240 negative triangles 338: dt=0.7660, 240 negative triangles 339: dt=0.7660, 239 negative triangles 340: dt=0.7660, 238 negative triangles 341: dt=0.7660, 239 negative triangles 342: dt=0.7660, 241 negative triangles 343: dt=0.7277, 243 negative triangles 344: dt=0.7277, 241 negative triangles 345: dt=0.7277, 241 negative triangles 346: dt=0.7277, 242 negative triangles 347: dt=0.7277, 243 negative triangles 348: dt=0.7277, 242 negative triangles 349: dt=0.7277, 242 negative triangles 350: dt=0.7277, 241 negative triangles 351: dt=0.7277, 239 negative triangles 352: dt=0.7277, 239 negative triangles 353: dt=0.6914, 242 negative triangles 354: dt=0.6914, 241 negative triangles 355: dt=0.6914, 240 negative triangles 356: dt=0.6914, 241 negative triangles 357: dt=0.6914, 241 negative triangles 358: dt=0.6914, 241 negative triangles 359: dt=0.6914, 241 negative triangles 360: dt=0.6914, 243 negative triangles 361: dt=0.6914, 241 negative triangles 362: dt=0.6914, 243 negative triangles 363: dt=0.6568, 242 negative triangles 364: dt=0.6568, 244 negative triangles 365: dt=0.6568, 241 negative triangles 366: dt=0.6568, 241 negative triangles 367: dt=0.6568, 242 negative triangles 368: dt=0.6568, 243 negative triangles 369: dt=0.6568, 243 negative triangles 370: dt=0.6568, 246 negative triangles 371: dt=0.6568, 244 negative triangles 372: dt=0.6568, 244 negative triangles 373: dt=0.6239, 244 negative triangles 374: dt=0.6239, 246 negative triangles 375: dt=0.6239, 244 negative triangles 376: dt=0.6239, 243 negative triangles 377: dt=0.6239, 244 negative triangles 378: dt=0.6239, 247 negative triangles 379: dt=0.6239, 245 negative triangles 380: dt=0.6239, 246 negative triangles 381: dt=0.6239, 244 negative triangles 382: dt=0.6239, 244 negative triangles 383: dt=0.5927, 243 negative triangles 384: dt=0.5927, 243 negative triangles 385: dt=0.5927, 245 negative triangles 386: dt=0.5927, 243 negative triangles 387: dt=0.5927, 243 negative triangles 388: dt=0.5927, 244 negative triangles 389: dt=0.5927, 243 negative triangles 390: dt=0.5927, 242 negative triangles 391: dt=0.5927, 242 negative triangles 392: dt=0.5927, 244 negative triangles 393: dt=0.5631, 245 negative triangles 394: dt=0.5631, 249 negative triangles 395: dt=0.5631, 247 negative triangles 396: dt=0.5631, 244 negative triangles 397: dt=0.5631, 244 negative triangles 398: dt=0.5631, 245 negative triangles 399: dt=0.5631, 247 negative triangles 400: dt=0.5631, 244 negative triangles 401: dt=0.5631, 245 negative triangles 402: dt=0.5631, 244 negative triangles 403: dt=0.5350, 245 negative triangles 404: dt=0.5350, 247 negative triangles 405: dt=0.5350, 246 negative triangles 406: dt=0.5350, 244 negative triangles 407: dt=0.5350, 245 negative triangles 408: dt=0.5350, 246 negative triangles 409: dt=0.5350, 244 negative triangles 410: dt=0.5350, 244 negative triangles 411: dt=0.5350, 246 negative triangles 412: dt=0.5350, 246 negative triangles 413: dt=0.5082, 244 negative triangles 414: dt=0.5082, 244 negative triangles 415: dt=0.5082, 246 negative triangles 416: dt=0.5082, 244 negative triangles 417: dt=0.5082, 245 negative triangles 418: dt=0.5082, 245 negative triangles 419: dt=0.5082, 245 negative triangles 420: dt=0.5082, 248 negative triangles 421: dt=0.5082, 248 negative triangles 422: dt=0.5082, 246 negative triangles 423: dt=0.4828, 245 negative triangles 424: dt=0.4828, 245 negative triangles 425: dt=0.4828, 245 negative triangles 426: dt=0.4828, 248 negative triangles 427: dt=0.4828, 246 negative triangles 428: dt=0.4828, 245 negative triangles 429: dt=0.4828, 247 negative triangles 430: dt=0.4828, 247 negative triangles 431: dt=0.4828, 246 negative triangles 432: dt=0.4828, 246 negative triangles 433: dt=0.4587, 247 negative triangles 434: dt=0.4587, 247 negative triangles 435: dt=0.4587, 246 negative triangles 436: dt=0.4587, 248 negative triangles 437: dt=0.4587, 247 negative triangles 438: dt=0.4587, 248 negative triangles 439: dt=0.4587, 248 negative triangles 440: dt=0.4587, 247 negative triangles 441: dt=0.4587, 247 negative triangles 442: dt=0.4587, 249 negative triangles 443: dt=0.4357, 248 negative triangles 444: dt=0.4357, 248 negative triangles 445: dt=0.4357, 249 negative triangles 446: dt=0.4357, 249 negative triangles 447: dt=0.4357, 249 negative triangles 448: dt=0.4357, 249 negative triangles 449: dt=0.4357, 249 negative triangles 450: dt=0.4357, 250 negative triangles 451: dt=0.4357, 249 negative triangles 452: dt=0.4357, 251 negative triangles 453: dt=0.4139, 253 negative triangles 454: dt=0.4139, 251 negative triangles 455: dt=0.4139, 251 negative triangles 456: dt=0.4139, 251 negative triangles 457: dt=0.4139, 250 negative triangles 458: dt=0.4139, 251 negative triangles 459: dt=0.4139, 254 negative triangles 460: dt=0.4139, 251 negative triangles 461: dt=0.4139, 251 negative triangles 462: dt=0.4139, 253 negative triangles 463: dt=0.3932, 252 negative triangles 464: dt=0.3932, 252 negative triangles 465: dt=0.3932, 253 negative triangles 466: dt=0.3932, 252 negative triangles 467: dt=0.3932, 252 negative triangles 468: dt=0.3932, 252 negative triangles 469: dt=0.3932, 251 negative triangles 470: dt=0.3932, 253 negative 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dt=0.0246, 258 negative triangles 1009: dt=0.0246, 257 negative triangles 1010: dt=0.0246, 258 negative triangles 1011: dt=0.0246, 256 negative triangles 1012: dt=0.0246, 259 negative triangles 1013: dt=0.0234, 257 negative triangles 1014: dt=0.0234, 258 negative triangles 1015: dt=0.0234, 256 negative triangles 1016: dt=0.0234, 257 negative triangles 1017: dt=0.0234, 259 negative triangles 1018: dt=0.0234, 259 negative triangles 1019: dt=0.0234, 258 negative triangles 1020: dt=0.0234, 257 negative triangles 1021: dt=0.0234, 257 negative triangles 1022: dt=0.0234, 255 negative triangles 1023: dt=0.0222, 256 negative triangles 1024: dt=0.0222, 256 negative triangles 1025: dt=0.0222, 255 negative triangles 1026: dt=0.0222, 257 negative triangles 1027: dt=0.0222, 257 negative triangles 1028: dt=0.0222, 255 negative triangles 1029: dt=0.0222, 257 negative triangles 1030: dt=0.0222, 257 negative triangles 1031: dt=0.0222, 257 negative triangles 1032: dt=0.0222, 256 negative triangles 1033: dt=0.0211, 256 negative triangles 1034: dt=0.0211, 256 negative triangles 1035: dt=0.0211, 256 negative triangles 1036: dt=0.0211, 255 negative triangles 1037: dt=0.0211, 255 negative triangles 1038: dt=0.0211, 254 negative triangles 1039: dt=0.0211, 256 negative triangles 1040: dt=0.0211, 254 negative triangles 1041: dt=0.0211, 256 negative triangles 1042: dt=0.0211, 255 negative triangles 1043: dt=0.0201, 256 negative triangles 1044: dt=0.0201, 256 negative triangles 1045: dt=0.0201, 255 negative triangles 1046: dt=0.0201, 255 negative triangles 1047: dt=0.0201, 255 negative triangles 1048: dt=0.0201, 256 negative triangles 1049: dt=0.0201, 255 negative triangles 1050: dt=0.0201, 256 negative triangles 1051: dt=0.0201, 255 negative triangles 1052: dt=0.0201, 255 negative triangles 1053: dt=0.0191, 256 negative triangles 1054: dt=0.0191, 256 negative triangles 1055: dt=0.0191, 256 negative triangles 1056: dt=0.0191, 255 negative triangles 1057: dt=0.0191, 256 negative triangles 1058: dt=0.0191, 255 negative triangles 1059: dt=0.0191, 256 negative triangles 1060: dt=0.0191, 255 negative triangles 1061: dt=0.0191, 255 negative triangles 1062: dt=0.0191, 256 negative triangles 1063: dt=0.0181, 255 negative triangles 1064: dt=0.0181, 256 negative triangles 1065: dt=0.0181, 255 negative triangles 1066: dt=0.0181, 257 negative triangles 1067: dt=0.0181, 256 negative triangles 1068: dt=0.0181, 255 negative triangles 1069: dt=0.0181, 256 negative triangles 1070: dt=0.0181, 256 negative triangles 1071: dt=0.0181, 257 negative triangles 1072: dt=0.0181, 256 negative triangles 1073: dt=0.0172, 257 negative triangles 1074: dt=0.0172, 256 negative triangles 1075: dt=0.0172, 259 negative triangles 1076: dt=0.0172, 256 negative triangles 1077: dt=0.0172, 258 negative triangles 1078: dt=0.0172, 256 negative triangles 1079: dt=0.0172, 259 negative triangles 1080: dt=0.0172, 258 negative triangles 1081: dt=0.0172, 258 negative triangles 1082: dt=0.0172, 259 negative triangles 1083: dt=0.0164, 258 negative triangles 1084: dt=0.0164, 258 negative triangles 1085: dt=0.0164, 257 negative triangles 1086: dt=0.0164, 259 negative triangles 1087: dt=0.0164, 256 negative triangles 1088: dt=0.0164, 258 negative triangles 1089: dt=0.0164, 256 negative triangles 1090: dt=0.0164, 258 negative triangles 1091: dt=0.0164, 258 negative triangles 1092: dt=0.0164, 256 negative triangles 1093: dt=0.0155, 256 negative triangles 1094: dt=0.0155, 255 negative triangles 1095: dt=0.0155, 255 negative triangles 1096: dt=0.0155, 255 negative triangles 1097: dt=0.0155, 256 negative triangles 1098: dt=0.0155, 255 negative triangles 1099: dt=0.0155, 256 negative triangles 1100: dt=0.0155, 256 negative triangles 1101: dt=0.0155, 256 negative triangles 1102: dt=0.0155, 256 negative triangles 1103: dt=0.0148, 258 negative triangles 1104: dt=0.0148, 255 negative triangles 1105: dt=0.0148, 257 negative triangles 1106: dt=0.0148, 255 negative triangles 1107: dt=0.0148, 256 negative triangles 1108: dt=0.0148, 256 negative triangles 1109: dt=0.0148, 256 negative triangles 1110: dt=0.0148, 257 negative triangles 1111: dt=0.0148, 255 negative triangles 1112: dt=0.0148, 256 negative triangles 1113: dt=0.0140, 254 negative triangles 1114: dt=0.0140, 255 negative triangles 1115: dt=0.0140, 255 negative triangles 1116: dt=0.0140, 254 negative triangles 1117: dt=0.0140, 254 negative triangles 1118: dt=0.0140, 254 negative triangles 1119: dt=0.0140, 255 negative triangles 1120: dt=0.0140, 254 negative triangles 1121: dt=0.0140, 255 negative triangles 1122: dt=0.0140, 254 negative triangles 1123: dt=0.0133, 255 negative triangles 1124: dt=0.0133, 256 negative triangles 1125: dt=0.0133, 256 negative triangles 1126: dt=0.0133, 255 negative triangles 1127: dt=0.0133, 255 negative triangles 1128: dt=0.0133, 256 negative triangles 1129: dt=0.0133, 255 negative triangles 1130: dt=0.0133, 256 negative triangles 1131: dt=0.0133, 255 negative triangles 1132: dt=0.0133, 256 negative triangles 1133: dt=0.0127, 256 negative triangles 1134: dt=0.0127, 255 negative triangles 1135: dt=0.0127, 255 negative triangles 1136: dt=0.0127, 255 negative triangles 1137: dt=0.0127, 254 negative triangles 1138: dt=0.0127, 255 negative triangles 1139: dt=0.0127, 254 negative triangles 1140: dt=0.0127, 254 negative triangles 1141: dt=0.0127, 255 negative triangles 1142: dt=0.0127, 255 negative triangles 1143: dt=0.0120, 254 negative triangles 1144: dt=0.0120, 254 negative triangles 1145: dt=0.0120, 255 negative triangles 1146: dt=0.0120, 254 negative triangles 1147: dt=0.0120, 255 negative triangles 1148: dt=0.0120, 255 negative triangles 1149: dt=0.0120, 256 negative triangles 1150: dt=0.0120, 257 negative triangles 1151: dt=0.0120, 258 negative triangles 1152: dt=0.0120, 255 negative triangles 1153: dt=0.0114, 257 negative triangles 1154: dt=0.0114, 258 negative triangles 1155: dt=0.0114, 256 negative triangles 1156: dt=0.0114, 257 negative triangles 1157: dt=0.0114, 255 negative triangles 1158: dt=0.0114, 258 negative triangles 1159: dt=0.0114, 258 negative triangles 1160: dt=0.0114, 257 negative triangles 1161: dt=0.0114, 256 negative triangles 1162: dt=0.0114, 256 negative triangles 1163: dt=0.0108, 256 negative triangles 1164: dt=0.0108, 257 negative triangles 1165: dt=0.0108, 256 negative triangles 1166: dt=0.0108, 256 negative triangles 1167: dt=0.0108, 256 negative triangles 1168: dt=0.0108, 256 negative triangles 1169: dt=0.0108, 255 negative triangles 1170: dt=0.0108, 255 negative triangles 1171: dt=0.0108, 256 negative triangles 1172: dt=0.0108, 254 negative triangles 1173: dt=0.0103, 255 negative triangles 1174: dt=0.0103, 255 negative triangles 1175: dt=0.0103, 256 negative triangles 1176: dt=0.0103, 255 negative triangles 1177: dt=0.0103, 255 negative triangles 1178: dt=0.0103, 256 negative triangles 1179: dt=0.0103, 256 negative triangles 1180: dt=0.0103, 256 negative triangles 1181: dt=0.0103, 257 negative triangles 1182: dt=0.0103, 257 negative triangles 1183: dt=0.0098, 256 negative triangles 1184: dt=0.0098, 257 negative triangles 1185: dt=0.0098, 256 negative triangles 1186: dt=0.0098, 256 negative triangles 1187: 256 negative triangles writing spherical brain to ../surf/lh.sphere spherical transformation took 2.07 hours mris_sphere utimesec 7431.926175 mris_sphere stimesec 0.664898 mris_sphere ru_maxrss 242024 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 39178 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 9640 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 243 mris_sphere ru_nivcsw 16223 FSRUNTIME@ mris_sphere 2.0653 hours 1 threads @#@FSTIME 2017:01:19:12:07:34 mris_sphere N 6 e 7434.95 S 0.67 U 7431.92 P 99% M 242024 F 0 R 39183 W 0 c 16226 w 253 I 0 O 9648 L 5.07 5.02 5.00 @#@FSLOADPOST 2017:01:19:14:11:29 mris_sphere N 6 5.01 5.03 5.00 #-------------------------------------------- #@# Sphere rh Thu Jan 19 14:11:29 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_sphere -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_sphere.rh.dat -seed 1234 ../surf/rh.inflated ../surf/rh.sphere setting seed for random number genererator to 1234 $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading original vertex positions... unfolding cortex into spherical form... surface projected - minimizing metric distortion... == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.296... MRISunfold() max_passes = 1 ------- tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=2, l_area=1.000, l_dist=1.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 1.000000 desired_rms_height -1.000000 momentum 0.900000 nbhd_size 7 max_nbrs 8 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 1 randomSeed 1234 -------------------- mrisRemoveNegativeArea() pass 1: epoch 1 of 3 starting distance error %19.26 pass 1: epoch 2 of 3 starting distance error %19.18 unfolding complete - removing small folds... starting distance error %19.14 removing remaining folds... final distance error %19.16 MRISunfold() return, current seed 1234 -01: dt=0.0000, 113 negative triangles 200: dt=0.9900, 113 negative triangles 201: dt=0.9900, 57 negative triangles 202: dt=0.9900, 44 negative triangles 203: dt=0.9900, 45 negative triangles 204: dt=0.9900, 43 negative triangles 205: dt=0.9900, 41 negative triangles 206: dt=0.9900, 38 negative triangles 207: dt=0.9900, 39 negative triangles 208: dt=0.9900, 37 negative triangles 209: dt=0.9900, 36 negative triangles 210: dt=0.9900, 40 negative triangles 211: dt=0.9900, 34 negative triangles 212: dt=0.9900, 34 negative triangles 213: dt=0.9900, 32 negative triangles 214: dt=0.9900, 36 negative triangles 215: dt=0.9900, 31 negative triangles 216: dt=0.9900, 23 negative triangles 217: dt=0.9900, 25 negative triangles 218: dt=0.9900, 25 negative triangles 219: dt=0.9900, 23 negative triangles 220: dt=0.9900, 23 negative triangles 221: dt=0.9900, 19 negative triangles 222: dt=0.9900, 22 negative triangles 223: dt=0.9900, 19 negative triangles 224: dt=0.9900, 19 negative triangles 225: dt=0.9900, 21 negative triangles 226: dt=0.9900, 22 negative triangles 227: dt=0.9900, 24 negative triangles 228: dt=0.9900, 18 negative triangles 229: dt=0.9900, 16 negative triangles 230: dt=0.9900, 12 negative triangles 231: dt=0.9900, 17 negative triangles 232: dt=0.9900, 16 negative triangles 233: dt=0.9900, 18 negative triangles 234: dt=0.9900, 13 negative triangles 235: dt=0.9900, 11 negative triangles 236: dt=0.9900, 12 negative triangles 237: dt=0.9900, 11 negative triangles 238: dt=0.9900, 12 negative triangles 239: dt=0.9900, 7 negative triangles 240: dt=0.9900, 6 negative triangles 241: dt=0.9900, 4 negative triangles 242: dt=0.9900, 5 negative triangles 243: dt=0.9900, 3 negative triangles 244: dt=0.9900, 3 negative triangles 245: dt=0.9900, 2 negative triangles 246: dt=0.9900, 2 negative triangles 247: dt=0.9900, 2 negative triangles 248: dt=0.9900, 4 negative triangles 249: dt=0.9900, 1 negative triangles writing spherical brain to ../surf/rh.sphere spherical transformation took 1.26 hours mris_sphere utimesec 4549.358392 mris_sphere stimesec 0.579911 mris_sphere ru_maxrss 242244 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 39231 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 9656 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 195 mris_sphere ru_nivcsw 7333 FSRUNTIME@ mris_sphere 1.2643 hours 1 threads @#@FSTIME 2017:01:19:14:11:29 mris_sphere N 6 e 4551.65 S 0.58 U 4549.35 P 99% M 242244 F 0 R 39236 W 0 c 7335 w 205 I 0 O 9664 L 5.01 5.03 5.00 @#@FSLOADPOST 2017:01:19:15:27:21 mris_sphere N 6 5.00 5.00 5.00 #-------------------------------------------- #@# Surf Reg lh Thu Jan 19 15:27:21 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_register.lh.dat ../surf/lh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/lh.sphere.reg using smoothwm curvature for final alignment cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts cmdline mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_register.lh.dat ../surf/lh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/lh.sphere.reg 0 inflated.H 1 sulc 2 smoothwm (computed) $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading surface from ../surf/lh.sphere... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... MRISregister() ------- max_passes = 4 min_degrees = 0.500000 max_degrees = 64.000000 nangles = 8 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height -1.000000 momentum 0.950000 nbhd_size -10 max_nbrs 10 niterations 25 nsurfaces 0 SURFACES 3 flags 16 (10) use curv 16 no sulc 0 no rigid align 0 mris->nsize 1 mris->hemisphere 0 randomSeed 0 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization -------------------- 1 Reading lh.sulc curvature mean = 0.000, std = 5.256 curvature mean = 0.034, std = 0.823 curvature mean = 0.023, std = 0.859 Starting MRISrigidBodyAlignGlobal() d=64.00 min @ (0.00, -16.00, 0.00) sse = 321552.9, tmin=1.5910 d=32.00 min @ (0.00, 8.00, 0.00) sse = 237681.5, tmin=3.2013 d=16.00 min @ (4.00, 0.00, -4.00) sse = 198912.2, tmin=4.8172 d=4.00 min @ (-1.00, -1.00, 0.00) sse = 196167.2, tmin=8.1418 d=1.00 min @ (0.00, 0.25, 0.00) sse = 196034.3, tmin=11.4520 d=0.50 min @ (0.00, 0.00, -0.12) sse = 196031.2, tmin=13.0545 tol=1.0e+00, sigma=0.5, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=0.050, l_spring=0.500, l_dist=5.000 using quadratic fit line minimization MRISrigidBodyAlignGlobal() done 13.05 min curvature mean = 0.001, std = 0.832 curvature mean = 0.009, std = 0.948 curvature mean = -0.004, std = 0.841 curvature mean = 0.004, std = 0.979 curvature mean = -0.006, std = 0.843 curvature mean = 0.001, std = 0.992 2 Reading smoothwm curvature mean = -0.025, std = 0.288 curvature mean = 0.039, std = 0.247 curvature mean = 0.062, std = 0.345 curvature mean = 0.035, std = 0.306 curvature mean = 0.031, std = 0.534 curvature mean = 0.034, std = 0.332 curvature mean = 0.015, std = 0.677 curvature mean = 0.034, std = 0.343 curvature mean = 0.004, std = 0.787 MRISregister() return, current seed 0 -01: dt=0.0000, 319 negative triangles 111: dt=0.9900, 319 negative triangles expanding nbhd size to 1 112: dt=0.9900, 345 negative triangles 113: dt=0.9900, 321 negative triangles 114: dt=0.9900, 318 negative triangles 115: dt=0.9900, 319 negative triangles 116: dt=0.9900, 314 negative triangles 117: dt=0.9900, 313 negative triangles 118: dt=0.9900, 308 negative triangles 119: dt=0.9900, 300 negative triangles 120: dt=0.9900, 300 negative triangles 121: dt=0.9900, 297 negative triangles 122: dt=0.9900, 295 negative triangles 123: dt=0.9900, 285 negative triangles 124: dt=0.9900, 286 negative triangles 125: dt=0.9900, 281 negative triangles 126: dt=0.9900, 281 negative triangles 127: dt=0.9900, 283 negative triangles 128: dt=0.9900, 290 negative triangles 129: dt=0.9900, 281 negative triangles 130: dt=0.9900, 281 negative triangles 131: dt=0.9900, 280 negative triangles 132: dt=0.9900, 280 negative triangles 133: dt=0.9900, 278 negative triangles 134: dt=0.9900, 274 negative triangles 135: dt=0.9900, 272 negative triangles 136: dt=0.9900, 273 negative triangles 137: dt=0.9900, 278 negative triangles 138: dt=0.9900, 280 negative triangles 139: dt=0.9900, 280 negative triangles 140: dt=0.9900, 271 negative triangles 141: dt=0.9900, 269 negative triangles 142: dt=0.9900, 268 negative triangles 143: dt=0.9900, 274 negative triangles 144: dt=0.9900, 264 negative triangles 145: dt=0.9900, 262 negative triangles 146: dt=0.9900, 263 negative triangles 147: dt=0.9900, 263 negative triangles 148: dt=0.9900, 262 negative triangles 149: dt=0.9900, 260 negative triangles 150: dt=0.9900, 261 negative triangles 151: dt=0.9900, 259 negative triangles 152: dt=0.9900, 260 negative triangles 153: dt=0.9900, 260 negative triangles 154: dt=0.9900, 259 negative triangles 155: dt=0.9900, 261 negative triangles 156: dt=0.9900, 266 negative triangles 157: dt=0.9900, 260 negative triangles 158: dt=0.9900, 259 negative triangles 159: dt=0.9900, 264 negative triangles 160: dt=0.9900, 257 negative triangles 161: dt=0.9900, 258 negative triangles 162: dt=0.9900, 258 negative triangles 163: dt=0.9900, 260 negative triangles 164: dt=0.9900, 260 negative triangles 165: dt=0.9900, 265 negative triangles 166: dt=0.9900, 259 negative triangles 167: dt=0.9900, 258 negative triangles 168: dt=0.9900, 258 negative triangles 169: dt=0.9900, 260 negative triangles 170: dt=0.9405, 261 negative triangles 171: dt=0.9405, 262 negative triangles 172: dt=0.9405, 261 negative triangles 173: dt=0.9405, 258 negative triangles 174: dt=0.9405, 258 negative triangles 175: dt=0.9405, 259 negative triangles 176: dt=0.9405, 259 negative triangles 177: dt=0.9405, 259 negative triangles 178: dt=0.9405, 259 negative triangles 179: dt=0.9405, 257 negative triangles 180: dt=0.8935, 257 negative triangles 181: dt=0.8935, 259 negative triangles 182: dt=0.8935, 259 negative triangles 183: dt=0.8935, 256 negative triangles 184: dt=0.8935, 262 negative triangles 185: dt=0.8935, 255 negative triangles 186: dt=0.8935, 256 negative triangles 187: dt=0.8935, 261 negative triangles 188: dt=0.8935, 261 negative triangles 189: dt=0.8935, 256 negative triangles 190: dt=0.8935, 252 negative triangles 191: dt=0.8935, 254 negative triangles 192: dt=0.8935, 256 negative triangles 193: dt=0.8935, 260 negative triangles 194: dt=0.8935, 258 negative triangles 195: dt=0.8935, 257 negative triangles 196: dt=0.8935, 257 negative triangles 197: dt=0.8935, 252 negative triangles 198: dt=0.8935, 254 negative triangles 199: dt=0.8935, 256 negative triangles 200: dt=0.8488, 259 negative triangles 201: dt=0.8488, 254 negative triangles 202: dt=0.8488, 253 negative triangles 203: dt=0.8488, 252 negative triangles 204: dt=0.8488, 255 negative triangles 205: dt=0.8488, 257 negative triangles 206: dt=0.8488, 253 negative triangles 207: dt=0.8488, 249 negative triangles 208: dt=0.8488, 249 negative triangles 209: dt=0.8488, 254 negative triangles 210: dt=0.8488, 252 negative triangles 211: dt=0.8488, 255 negative triangles 212: dt=0.8488, 260 negative triangles 213: dt=0.8488, 255 negative triangles 214: dt=0.8488, 256 negative triangles 215: dt=0.8488, 254 negative triangles 216: dt=0.8488, 260 negative triangles 217: dt=0.8064, 259 negative triangles 218: dt=0.8064, 261 negative triangles 219: dt=0.8064, 253 negative triangles 220: dt=0.8064, 254 negative triangles 221: dt=0.8064, 253 negative triangles 222: dt=0.8064, 254 negative triangles 223: dt=0.8064, 258 negative triangles 224: dt=0.8064, 256 negative triangles 225: dt=0.8064, 254 negative triangles 226: dt=0.8064, 253 negative triangles 227: dt=0.7660, 252 negative triangles 228: dt=0.7660, 255 negative triangles 229: dt=0.7660, 255 negative triangles 230: dt=0.7660, 254 negative triangles 231: dt=0.7660, 254 negative triangles 232: dt=0.7660, 252 negative triangles 233: dt=0.7660, 252 negative triangles 234: dt=0.7660, 252 negative triangles 235: dt=0.7660, 252 negative triangles 236: dt=0.7660, 253 negative triangles 237: dt=0.7277, 252 negative triangles 238: dt=0.7277, 252 negative triangles 239: dt=0.7277, 255 negative triangles 240: dt=0.7277, 250 negative triangles 241: dt=0.7277, 248 negative triangles 242: dt=0.7277, 248 negative triangles 243: dt=0.7277, 250 negative triangles 244: dt=0.7277, 251 negative triangles 245: dt=0.7277, 253 negative triangles 246: dt=0.7277, 250 negative triangles 247: dt=0.7277, 248 negative triangles 248: dt=0.7277, 246 negative triangles 249: dt=0.7277, 244 negative triangles 250: dt=0.7277, 245 negative triangles 251: dt=0.7277, 249 negative triangles 252: dt=0.7277, 250 negative triangles 253: dt=0.7277, 249 negative triangles 254: dt=0.7277, 243 negative triangles 255: dt=0.7277, 241 negative triangles 256: dt=0.7277, 241 negative triangles 257: dt=0.7277, 242 negative triangles 258: dt=0.7277, 243 negative triangles 259: dt=0.7277, 241 negative triangles 260: dt=0.7277, 242 negative triangles 261: dt=0.7277, 242 negative triangles 262: dt=0.7277, 240 negative triangles 263: dt=0.7277, 239 negative triangles 264: dt=0.7277, 237 negative triangles 265: dt=0.7277, 236 negative triangles 266: dt=0.7277, 235 negative triangles 267: dt=0.7277, 233 negative triangles 268: dt=0.7277, 233 negative triangles 269: dt=0.7277, 234 negative triangles 270: dt=0.7277, 234 negative triangles 271: dt=0.7277, 235 negative triangles 272: dt=0.7277, 226 negative triangles 273: dt=0.7277, 229 negative triangles 274: dt=0.7277, 230 negative triangles 275: dt=0.7277, 228 negative triangles 276: dt=0.7277, 228 negative triangles 277: dt=0.7277, 228 negative triangles 278: dt=0.7277, 229 negative triangles 279: dt=0.7277, 227 negative triangles 280: dt=0.7277, 227 negative triangles 281: dt=0.7277, 226 negative triangles 282: dt=0.7277, 221 negative triangles 283: dt=0.7277, 222 negative triangles 284: dt=0.7277, 220 negative triangles 285: dt=0.7277, 222 negative triangles 286: dt=0.7277, 220 negative triangles 287: dt=0.7277, 222 negative triangles 288: dt=0.7277, 220 negative triangles 289: dt=0.7277, 222 negative triangles 290: dt=0.7277, 220 negative triangles 291: dt=0.7277, 215 negative triangles 292: dt=0.7277, 216 negative triangles 293: dt=0.7277, 215 negative triangles 294: dt=0.7277, 213 negative triangles 295: dt=0.7277, 217 negative triangles 296: dt=0.7277, 218 negative triangles 297: dt=0.7277, 215 negative triangles 298: dt=0.7277, 214 negative triangles 299: dt=0.7277, 216 negative triangles 300: dt=0.7277, 213 negative triangles 301: dt=0.7277, 211 negative triangles 302: dt=0.7277, 216 negative triangles 303: dt=0.7277, 213 negative triangles 304: dt=0.7277, 212 negative triangles 305: dt=0.7277, 214 negative triangles 306: dt=0.7277, 216 negative triangles 307: dt=0.7277, 215 negative triangles 308: dt=0.7277, 217 negative triangles 309: dt=0.7277, 211 negative triangles 310: dt=0.7277, 211 negative triangles 311: dt=0.6914, 214 negative triangles 312: dt=0.6914, 211 negative triangles 313: dt=0.6914, 213 negative triangles 314: dt=0.6914, 211 negative triangles 315: dt=0.6914, 211 negative triangles 316: dt=0.6914, 207 negative triangles 317: dt=0.6914, 205 negative triangles 318: dt=0.6914, 205 negative triangles 319: dt=0.6914, 203 negative triangles 320: dt=0.6914, 199 negative triangles 321: dt=0.6914, 202 negative triangles 322: dt=0.6914, 203 negative triangles 323: dt=0.6914, 200 negative triangles 324: dt=0.6914, 202 negative triangles 325: dt=0.6914, 202 negative triangles 326: dt=0.6914, 202 negative triangles 327: dt=0.6914, 198 negative triangles 328: dt=0.6914, 195 negative triangles 329: dt=0.6914, 192 negative triangles 330: dt=0.6914, 195 negative triangles 331: dt=0.6914, 192 negative triangles 332: dt=0.6914, 191 negative triangles 333: dt=0.6914, 191 negative triangles 334: dt=0.6914, 193 negative triangles 335: dt=0.6914, 190 negative triangles 336: dt=0.6914, 190 negative triangles 337: dt=0.6914, 190 negative triangles 338: dt=0.6914, 189 negative triangles 339: dt=0.6914, 190 negative triangles 340: dt=0.6914, 189 negative triangles 341: dt=0.6914, 188 negative triangles 342: dt=0.6914, 187 negative triangles 343: dt=0.6914, 188 negative triangles 344: dt=0.6914, 188 negative triangles 345: dt=0.6914, 189 negative triangles 346: dt=0.6914, 192 negative triangles 347: dt=0.6914, 193 negative triangles 348: dt=0.6914, 191 negative triangles 349: dt=0.6914, 190 negative triangles 350: dt=0.6914, 191 negative triangles 351: dt=0.6914, 187 negative triangles 352: dt=0.6568, 190 negative triangles 353: dt=0.6568, 189 negative triangles 354: dt=0.6568, 189 negative triangles 355: dt=0.6568, 190 negative triangles 356: dt=0.6568, 191 negative triangles 357: dt=0.6568, 189 negative triangles 358: dt=0.6568, 190 negative triangles 359: dt=0.6568, 191 negative triangles 360: dt=0.6568, 191 negative triangles 361: dt=0.6568, 191 negative triangles 362: dt=0.6239, 191 negative triangles 363: dt=0.6239, 195 negative triangles 364: dt=0.6239, 191 negative triangles 365: dt=0.6239, 190 negative triangles 366: dt=0.6239, 189 negative triangles 367: dt=0.6239, 190 negative triangles 368: dt=0.6239, 192 negative triangles 369: dt=0.6239, 192 negative triangles 370: dt=0.6239, 189 negative triangles 371: dt=0.6239, 190 negative triangles 372: dt=0.5927, 191 negative triangles 373: dt=0.5927, 194 negative triangles 374: dt=0.5927, 194 negative triangles 375: dt=0.5927, 193 negative triangles 376: dt=0.5927, 193 negative triangles 377: dt=0.5927, 195 negative triangles 378: dt=0.5927, 196 negative triangles 379: dt=0.5927, 195 negative triangles 380: dt=0.5927, 197 negative triangles 381: dt=0.5927, 198 negative triangles 382: dt=0.5631, 199 negative triangles 383: dt=0.5631, 197 negative triangles 384: dt=0.5631, 199 negative triangles 385: dt=0.5631, 196 negative triangles 386: dt=0.5631, 200 negative triangles 387: dt=0.5631, 198 negative triangles 388: dt=0.5631, 198 negative triangles 389: dt=0.5631, 198 negative triangles 390: dt=0.5631, 198 negative triangles 391: dt=0.5631, 197 negative triangles 392: dt=0.5350, 201 negative triangles 393: dt=0.5350, 198 negative triangles 394: dt=0.5350, 197 negative triangles 395: dt=0.5350, 198 negative triangles 396: dt=0.5350, 198 negative triangles 397: dt=0.5350, 199 negative triangles 398: dt=0.5350, 199 negative triangles 399: dt=0.5350, 200 negative triangles 400: dt=0.5350, 205 negative triangles 401: dt=0.5350, 200 negative triangles 402: dt=0.5082, 199 negative triangles 403: dt=0.5082, 203 negative triangles 404: dt=0.5082, 199 negative triangles 405: dt=0.5082, 200 negative triangles 406: dt=0.5082, 200 negative triangles 407: dt=0.5082, 203 negative triangles 408: dt=0.5082, 206 negative triangles 409: dt=0.5082, 205 negative triangles 410: dt=0.5082, 203 negative triangles 411: dt=0.5082, 205 negative triangles 412: dt=0.4828, 206 negative triangles 413: dt=0.4828, 207 negative triangles 414: dt=0.4828, 204 negative triangles 415: dt=0.4828, 205 negative triangles 416: dt=0.4828, 210 negative triangles 417: dt=0.4828, 212 negative triangles 418: dt=0.4828, 210 negative triangles 419: dt=0.4828, 210 negative triangles 420: dt=0.4828, 209 negative triangles 421: dt=0.4828, 210 negative triangles 422: dt=0.4587, 211 negative triangles 423: dt=0.4587, 207 negative triangles 424: dt=0.4587, 211 negative triangles 425: dt=0.4587, 208 negative triangles 426: dt=0.4587, 210 negative triangles 427: dt=0.4587, 211 negative triangles 428: dt=0.4587, 214 negative triangles 429: dt=0.4587, 217 negative triangles 430: dt=0.4587, 219 negative triangles 431: dt=0.4587, 218 negative triangles 432: dt=0.4357, 217 negative triangles 433: dt=0.4357, 217 negative triangles 434: dt=0.4357, 216 negative triangles 435: dt=0.4357, 218 negative triangles 436: dt=0.4357, 219 negative triangles 437: dt=0.4357, 221 negative triangles 438: dt=0.4357, 219 negative triangles 439: dt=0.4357, 220 negative triangles 440: dt=0.4357, 224 negative triangles 441: dt=0.4357, 225 negative triangles 442: dt=0.4139, 224 negative triangles 443: dt=0.4139, 229 negative triangles 444: dt=0.4139, 226 negative triangles 445: dt=0.4139, 229 negative triangles 446: dt=0.4139, 226 negative triangles 447: dt=0.4139, 226 negative triangles 448: dt=0.4139, 230 negative triangles 449: dt=0.4139, 229 negative triangles 450: dt=0.4139, 228 negative triangles 451: dt=0.4139, 230 negative triangles 452: dt=0.3932, 228 negative triangles 453: dt=0.3932, 229 negative triangles 454: dt=0.3932, 227 negative triangles 455: dt=0.3932, 228 negative triangles 456: dt=0.3932, 227 negative triangles 457: dt=0.3932, 230 negative triangles 458: dt=0.3932, 230 negative triangles 459: dt=0.3932, 231 negative triangles 460: dt=0.3932, 229 negative triangles 461: dt=0.3932, 231 negative triangles 462: dt=0.3736, 231 negative triangles 463: dt=0.3736, 234 negative triangles 464: dt=0.3736, 236 negative triangles 465: dt=0.3736, 237 negative triangles 466: dt=0.3736, 236 negative triangles 467: dt=0.3736, 236 negative triangles 468: dt=0.3736, 236 negative triangles 469: dt=0.3736, 237 negative triangles 470: dt=0.3736, 237 negative triangles 471: dt=0.3736, 240 negative triangles 472: dt=0.3549, 239 negative triangles 473: dt=0.3549, 241 negative triangles 474: dt=0.3549, 241 negative triangles 475: dt=0.3549, 243 negative triangles 476: dt=0.3549, 240 negative triangles 477: dt=0.3549, 239 negative triangles 478: dt=0.3549, 240 negative triangles 479: dt=0.3549, 240 negative triangles 480: dt=0.3549, 241 negative triangles 481: dt=0.3549, 243 negative triangles 482: dt=0.3372, 246 negative triangles 483: dt=0.3372, 243 negative triangles 484: dt=0.3372, 242 negative triangles 485: dt=0.3372, 241 negative triangles 486: dt=0.3372, 243 negative triangles 487: dt=0.3372, 242 negative triangles 488: dt=0.3372, 242 negative triangles 489: dt=0.3372, 242 negative triangles 490: dt=0.3372, 243 negative triangles 491: dt=0.3372, 244 negative triangles 492: dt=0.3203, 243 negative triangles 493: dt=0.3203, 243 negative triangles 494: dt=0.3203, 243 negative triangles 495: dt=0.3203, 243 negative triangles 496: dt=0.3203, 245 negative triangles 497: dt=0.3203, 244 negative triangles 498: dt=0.3203, 246 negative triangles 499: dt=0.3203, 248 negative triangles 500: dt=0.3203, 250 negative triangles 501: dt=0.3203, 248 negative triangles 502: dt=0.3043, 248 negative triangles 503: dt=0.3043, 247 negative triangles 504: dt=0.3043, 247 negative triangles 505: dt=0.3043, 248 negative triangles 506: dt=0.3043, 248 negative triangles 507: dt=0.3043, 251 negative triangles 508: dt=0.3043, 253 negative triangles 509: dt=0.3043, 253 negative triangles 510: dt=0.3043, 253 negative triangles 511: dt=0.3043, 252 negative triangles 512: dt=0.2891, 253 negative triangles 513: dt=0.2891, 252 negative triangles 514: dt=0.2891, 251 negative triangles 515: dt=0.2891, 251 negative triangles 516: dt=0.2891, 251 negative triangles 517: dt=0.2891, 254 negative triangles 518: dt=0.2891, 255 negative triangles 519: dt=0.2891, 256 negative triangles 520: dt=0.2891, 255 negative triangles 521: dt=0.2891, 257 negative triangles 522: dt=0.2746, 257 negative triangles 523: dt=0.2746, 255 negative triangles 524: dt=0.2746, 255 negative triangles 525: dt=0.2746, 256 negative triangles 526: dt=0.2746, 255 negative triangles 527: dt=0.2746, 259 negative triangles 528: dt=0.2746, 259 negative triangles 529: dt=0.2746, 262 negative triangles 530: dt=0.2746, 261 negative triangles 531: dt=0.2746, 260 negative triangles 532: dt=0.2609, 262 negative triangles 533: dt=0.2609, 261 negative triangles 534: dt=0.2609, 262 negative triangles 535: dt=0.2609, 260 negative triangles 536: dt=0.2609, 261 negative triangles 537: dt=0.2609, 261 negative triangles 538: dt=0.2609, 261 negative triangles 539: dt=0.2609, 261 negative triangles 540: dt=0.2609, 261 negative triangles 541: dt=0.2609, 260 negative triangles 542: dt=0.2478, 261 negative triangles 543: dt=0.2478, 261 negative triangles 544: dt=0.2478, 264 negative triangles 545: dt=0.2478, 260 negative triangles 546: dt=0.2478, 261 negative triangles 547: dt=0.2478, 263 negative triangles 548: dt=0.2478, 262 negative triangles 549: dt=0.2478, 262 negative triangles 550: dt=0.2478, 260 negative triangles 551: dt=0.2478, 262 negative triangles 552: dt=0.2354, 261 negative triangles 553: dt=0.2354, 260 negative triangles 554: dt=0.2354, 260 negative triangles 555: dt=0.2354, 261 negative triangles 556: dt=0.2354, 262 negative triangles 557: dt=0.2354, 259 negative triangles 558: dt=0.2354, 260 negative triangles 559: dt=0.2354, 259 negative triangles 560: dt=0.2354, 259 negative triangles 561: dt=0.2354, 262 negative triangles 562: dt=0.2237, 261 negative triangles 563: dt=0.2237, 262 negative triangles 564: dt=0.2237, 261 negative triangles 565: dt=0.2237, 261 negative triangles 566: dt=0.2237, 263 negative triangles 567: dt=0.2237, 261 negative triangles 568: dt=0.2237, 261 negative triangles 569: dt=0.2237, 261 negative triangles 570: dt=0.2237, 262 negative triangles 571: dt=0.2237, 260 negative triangles 572: dt=0.2125, 264 negative triangles 573: dt=0.2125, 262 negative triangles 574: dt=0.2125, 262 negative triangles 575: dt=0.2125, 262 negative triangles 576: dt=0.2125, 262 negative triangles 577: dt=0.2125, 261 negative triangles 578: dt=0.2125, 262 negative triangles 579: dt=0.2125, 261 negative triangles 580: dt=0.2125, 261 negative triangles 581: dt=0.2125, 262 negative triangles 582: dt=0.2019, 262 negative triangles 583: dt=0.2019, 260 negative triangles 584: dt=0.2019, 262 negative triangles 585: dt=0.2019, 262 negative triangles 586: dt=0.2019, 261 negative triangles 587: dt=0.2019, 262 negative triangles 588: dt=0.2019, 261 negative triangles 589: dt=0.2019, 262 negative triangles 590: dt=0.2019, 261 negative triangles 591: dt=0.2019, 263 negative triangles 592: dt=0.1918, 260 negative triangles 593: dt=0.1918, 262 negative triangles 594: dt=0.1918, 262 negative triangles 595: dt=0.1918, 260 negative triangles 596: dt=0.1918, 262 negative triangles 597: dt=0.1918, 262 negative triangles 598: dt=0.1918, 261 negative triangles 599: dt=0.1918, 263 negative triangles 600: dt=0.1918, 261 negative triangles 601: dt=0.1918, 262 negative triangles 602: dt=0.1822, 261 negative triangles 603: dt=0.1822, 261 negative triangles 604: dt=0.1822, 263 negative triangles 605: dt=0.1822, 260 negative triangles 606: dt=0.1822, 260 negative triangles 607: dt=0.1822, 262 negative triangles 608: dt=0.1822, 260 negative triangles 609: dt=0.1822, 260 negative triangles 610: dt=0.1822, 261 negative triangles 611: dt=0.1822, 261 negative triangles 612: dt=0.1731, 262 negative triangles 613: dt=0.1731, 261 negative triangles 614: dt=0.1731, 262 negative triangles 615: dt=0.1731, 262 negative triangles 616: dt=0.1731, 262 negative triangles 617: dt=0.1731, 261 negative triangles 618: dt=0.1731, 263 negative triangles 619: dt=0.1731, 260 negative triangles 620: dt=0.1731, 262 negative triangles 621: dt=0.1731, 261 negative triangles 622: dt=0.1644, 262 negative triangles 623: dt=0.1644, 262 negative triangles 624: dt=0.1644, 262 negative triangles 625: dt=0.1644, 262 negative triangles 626: dt=0.1644, 261 negative triangles 627: dt=0.1644, 262 negative triangles 628: dt=0.1644, 261 negative triangles 629: dt=0.1644, 264 negative triangles 630: dt=0.1644, 261 negative triangles 631: dt=0.1644, 263 negative triangles 632: dt=0.1562, 261 negative triangles 633: dt=0.1562, 262 negative triangles 634: dt=0.1562, 261 negative triangles 635: dt=0.1562, 262 negative triangles 636: dt=0.1562, 262 negative triangles 637: dt=0.1562, 262 negative triangles 638: dt=0.1562, 262 negative triangles 639: dt=0.1562, 262 negative triangles 640: dt=0.1562, 260 negative triangles 641: dt=0.1562, 263 negative triangles 642: dt=0.1484, 260 negative triangles 643: dt=0.1484, 261 negative triangles 644: dt=0.1484, 260 negative triangles 645: dt=0.1484, 261 negative triangles 646: dt=0.1484, 261 negative triangles 647: dt=0.1484, 261 negative triangles 648: dt=0.1484, 261 negative triangles 649: dt=0.1484, 261 negative triangles 650: dt=0.1484, 261 negative triangles 651: dt=0.1484, 262 negative triangles 652: dt=0.1410, 261 negative triangles 653: dt=0.1410, 262 negative triangles 654: dt=0.1410, 262 negative triangles 655: dt=0.1410, 261 negative triangles 656: dt=0.1410, 262 negative triangles 657: dt=0.1410, 261 negative triangles 658: dt=0.1410, 261 negative triangles 659: dt=0.1410, 262 negative triangles 660: dt=0.1410, 260 negative triangles 661: dt=0.1410, 262 negative triangles 662: dt=0.1339, 260 negative triangles 663: dt=0.1339, 261 negative triangles 664: dt=0.1339, 261 negative triangles 665: dt=0.1339, 263 negative triangles 666: dt=0.1339, 261 negative triangles 667: dt=0.1339, 261 negative triangles 668: dt=0.1339, 261 negative triangles 669: dt=0.1339, 261 negative triangles 670: dt=0.1339, 262 negative triangles 671: dt=0.1339, 262 negative triangles 672: dt=0.1272, 261 negative triangles 673: dt=0.1272, 262 negative triangles 674: dt=0.1272, 261 negative triangles 675: dt=0.1272, 262 negative triangles 676: dt=0.1272, 260 negative triangles 677: dt=0.1272, 263 negative triangles 678: dt=0.1272, 260 negative triangles 679: dt=0.1272, 261 negative triangles 680: dt=0.1272, 261 negative triangles 681: dt=0.1272, 262 negative triangles 682: dt=0.1209, 263 negative triangles 683: dt=0.1209, 262 negative triangles 684: dt=0.1209, 262 negative triangles 685: dt=0.1209, 263 negative triangles 686: dt=0.1209, 261 negative triangles 687: dt=0.1209, 263 negative triangles 688: dt=0.1209, 263 negative triangles 689: dt=0.1209, 263 negative triangles 690: dt=0.1209, 262 negative triangles 691: dt=0.1209, 261 negative triangles 692: dt=0.1148, 264 negative triangles 693: dt=0.1148, 264 negative triangles 694: dt=0.1148, 265 negative triangles 695: dt=0.1148, 264 negative triangles 696: dt=0.1148, 263 negative triangles 697: dt=0.1148, 266 negative triangles 698: dt=0.1148, 263 negative triangles 699: dt=0.1148, 264 negative triangles 700: dt=0.1148, 264 negative triangles 701: dt=0.1148, 265 negative triangles 702: dt=0.1091, 263 negative triangles 703: dt=0.1091, 263 negative triangles 704: dt=0.1091, 265 negative triangles 705: dt=0.1091, 265 negative triangles 706: dt=0.1091, 263 negative triangles 707: dt=0.1091, 265 negative triangles 708: dt=0.1091, 264 negative triangles 709: dt=0.1091, 265 negative triangles 710: dt=0.1091, 265 negative triangles 711: dt=0.1091, 264 negative triangles 712: dt=0.1036, 265 negative triangles 713: dt=0.1036, 266 negative triangles 714: dt=0.1036, 267 negative triangles 715: dt=0.1036, 267 negative triangles 716: dt=0.1036, 265 negative triangles 717: dt=0.1036, 267 negative triangles 718: dt=0.1036, 265 negative triangles 719: dt=0.1036, 267 negative triangles 720: dt=0.1036, 267 negative triangles 721: dt=0.1036, 265 negative triangles 722: dt=0.0984, 267 negative triangles 723: dt=0.0984, 267 negative triangles 724: dt=0.0984, 266 negative triangles 725: dt=0.0984, 266 negative triangles 726: dt=0.0984, 267 negative triangles 727: dt=0.0984, 266 negative triangles 728: dt=0.0984, 266 negative triangles 729: dt=0.0984, 267 negative triangles 730: dt=0.0984, 265 negative triangles 731: dt=0.0984, 266 negative triangles 732: dt=0.0935, 268 negative triangles 733: dt=0.0935, 265 negative triangles 734: dt=0.0935, 266 negative triangles 735: dt=0.0935, 267 negative triangles 736: dt=0.0935, 268 negative triangles 737: dt=0.0935, 268 negative triangles 738: dt=0.0935, 268 negative triangles 739: dt=0.0935, 267 negative triangles 740: dt=0.0935, 266 negative triangles 741: dt=0.0935, 269 negative triangles 742: dt=0.0888, 266 negative triangles 743: dt=0.0888, 267 negative triangles 744: dt=0.0888, 268 negative triangles 745: dt=0.0888, 267 negative triangles 746: dt=0.0888, 269 negative triangles 747: dt=0.0888, 267 negative triangles 748: dt=0.0888, 266 negative triangles 749: dt=0.0888, 269 negative triangles 750: dt=0.0888, 266 negative triangles 751: dt=0.0888, 268 negative triangles 752: dt=0.0844, 269 negative triangles 753: dt=0.0844, 266 negative triangles 754: dt=0.0844, 267 negative triangles 755: dt=0.0844, 268 negative triangles 756: dt=0.0844, 267 negative triangles 757: dt=0.0844, 268 negative triangles 758: dt=0.0844, 271 negative triangles 759: dt=0.0844, 266 negative triangles 760: dt=0.0844, 270 negative triangles 761: dt=0.0844, 271 negative triangles 762: dt=0.0802, 269 negative triangles 763: dt=0.0802, 270 negative triangles 764: dt=0.0802, 272 negative triangles 765: dt=0.0802, 270 negative triangles 766: dt=0.0802, 271 negative triangles 767: dt=0.0802, 269 negative triangles 768: dt=0.0802, 271 negative triangles 769: dt=0.0802, 272 negative triangles 770: dt=0.0802, 269 negative triangles 771: dt=0.0802, 270 negative triangles 772: dt=0.0762, 269 negative triangles 773: dt=0.0762, 269 negative triangles 774: dt=0.0762, 271 negative triangles 775: dt=0.0762, 270 negative triangles 776: dt=0.0762, 268 negative triangles 777: dt=0.0762, 270 negative triangles 778: dt=0.0762, 269 negative triangles 779: dt=0.0762, 269 negative triangles 780: dt=0.0762, 271 negative triangles 781: dt=0.0762, 271 negative triangles 782: dt=0.0724, 270 negative triangles 783: dt=0.0724, 271 negative triangles 784: dt=0.0724, 270 negative triangles 785: dt=0.0724, 271 negative triangles 786: dt=0.0724, 270 negative triangles 787: dt=0.0724, 271 negative triangles 788: dt=0.0724, 273 negative triangles 789: dt=0.0724, 271 negative triangles 790: dt=0.0724, 269 negative triangles 791: dt=0.0724, 270 negative triangles 792: dt=0.0687, 268 negative triangles 793: dt=0.0687, 270 negative triangles 794: dt=0.0687, 271 negative triangles 795: dt=0.0687, 269 negative triangles 796: dt=0.0687, 269 negative triangles 797: dt=0.0687, 271 negative triangles 798: dt=0.0687, 268 negative triangles 799: dt=0.0687, 269 negative triangles 800: dt=0.0687, 270 negative triangles 801: dt=0.0687, 270 negative triangles 802: dt=0.0653, 271 negative triangles 803: dt=0.0653, 269 negative triangles 804: dt=0.0653, 270 negative triangles 805: dt=0.0653, 271 negative triangles 806: dt=0.0653, 268 negative triangles 807: dt=0.0653, 271 negative triangles 808: dt=0.0653, 271 negative triangles 809: dt=0.0653, 271 negative triangles 810: dt=0.0653, 271 negative triangles 811: dt=0.0653, 271 negative triangles 812: dt=0.0620, 272 negative triangles 813: dt=0.0620, 270 negative triangles 814: dt=0.0620, 271 negative triangles 815: dt=0.0620, 272 negative triangles 816: dt=0.0620, 269 negative triangles 817: dt=0.0620, 269 negative triangles 818: dt=0.0620, 271 negative triangles 819: dt=0.0620, 270 negative triangles 820: dt=0.0620, 268 negative triangles 821: dt=0.0620, 271 negative triangles 822: dt=0.0589, 269 negative triangles 823: dt=0.0589, 270 negative triangles 824: dt=0.0589, 269 negative triangles 825: dt=0.0589, 270 negative triangles 826: dt=0.0589, 270 negative triangles 827: dt=0.0589, 272 negative triangles 828: dt=0.0589, 269 negative triangles 829: dt=0.0589, 270 negative triangles 830: dt=0.0589, 270 negative triangles 831: dt=0.0589, 272 negative triangles 832: dt=0.0560, 270 negative triangles 833: dt=0.0560, 270 negative triangles 834: dt=0.0560, 273 negative triangles 835: dt=0.0560, 273 negative triangles 836: dt=0.0560, 270 negative triangles 837: dt=0.0560, 273 negative triangles 838: dt=0.0560, 272 negative triangles 839: dt=0.0560, 271 negative triangles 840: dt=0.0560, 273 negative triangles 841: dt=0.0560, 272 negative triangles 842: dt=0.0532, 272 negative triangles 843: dt=0.0532, 271 negative triangles 844: dt=0.0532, 272 negative triangles 845: dt=0.0532, 273 negative triangles 846: dt=0.0532, 271 negative triangles 847: dt=0.0532, 271 negative triangles 848: dt=0.0532, 273 negative triangles 849: dt=0.0532, 271 negative triangles 850: dt=0.0532, 272 negative triangles 851: dt=0.0532, 272 negative triangles 852: dt=0.0505, 270 negative triangles 853: dt=0.0505, 271 negative triangles 854: dt=0.0505, 271 negative triangles 855: dt=0.0505, 270 negative triangles 856: dt=0.0505, 271 negative triangles 857: dt=0.0505, 272 negative triangles 858: dt=0.0505, 270 negative triangles 859: dt=0.0505, 272 negative triangles 860: dt=0.0505, 271 negative triangles 861: dt=0.0505, 269 negative triangles 862: dt=0.0480, 272 negative triangles 863: dt=0.0480, 271 negative triangles 864: dt=0.0480, 271 negative triangles 865: dt=0.0480, 270 negative triangles 866: dt=0.0480, 272 negative triangles 867: dt=0.0480, 272 negative triangles 868: dt=0.0480, 271 negative triangles 869: dt=0.0480, 272 negative triangles 870: dt=0.0480, 273 negative triangles 871: dt=0.0480, 272 negative triangles 872: dt=0.0456, 272 negative triangles 873: dt=0.0456, 271 negative triangles 874: dt=0.0456, 272 negative triangles 875: dt=0.0456, 272 negative triangles 876: dt=0.0456, 272 negative triangles 877: dt=0.0456, 273 negative triangles 878: dt=0.0456, 272 negative triangles 879: dt=0.0456, 270 negative triangles 880: dt=0.0456, 274 negative triangles 881: dt=0.0456, 272 negative triangles 882: dt=0.0433, 272 negative triangles 883: dt=0.0433, 271 negative triangles 884: dt=0.0433, 272 negative triangles 885: dt=0.0433, 273 negative triangles 886: dt=0.0433, 270 negative triangles 887: dt=0.0433, 272 negative triangles 888: dt=0.0433, 273 negative triangles 889: dt=0.0433, 272 negative triangles 890: dt=0.0433, 270 negative triangles 891: dt=0.0433, 273 negative triangles 892: dt=0.0412, 271 negative triangles 893: dt=0.0412, 273 negative triangles 894: dt=0.0412, 271 negative triangles 895: dt=0.0412, 272 negative triangles 896: dt=0.0412, 272 negative triangles 897: dt=0.0412, 272 negative triangles 898: dt=0.0412, 271 negative triangles 899: dt=0.0412, 273 negative triangles 900: dt=0.0412, 272 negative triangles 901: dt=0.0412, 271 negative triangles 902: dt=0.0391, 273 negative triangles 903: dt=0.0391, 273 negative triangles 904: dt=0.0391, 273 negative triangles 905: dt=0.0391, 270 negative triangles 906: dt=0.0391, 272 negative triangles 907: dt=0.0391, 273 negative triangles 908: dt=0.0391, 270 negative triangles 909: dt=0.0391, 272 negative triangles 910: dt=0.0391, 273 negative triangles 911: dt=0.0391, 271 negative triangles 912: dt=0.0371, 271 negative triangles 913: dt=0.0371, 272 negative triangles 914: dt=0.0371, 274 negative triangles 915: dt=0.0371, 273 negative triangles 916: dt=0.0371, 271 negative triangles 917: dt=0.0371, 271 negative triangles 918: dt=0.0371, 273 negative triangles 919: dt=0.0371, 271 negative triangles 920: dt=0.0371, 271 negative triangles 921: dt=0.0371, 273 negative triangles 922: dt=0.0353, 271 negative triangles 923: dt=0.0353, 271 negative triangles 924: dt=0.0353, 273 negative triangles 925: dt=0.0353, 272 negative triangles 926: dt=0.0353, 272 negative triangles 927: dt=0.0353, 273 negative triangles 928: dt=0.0353, 272 negative triangles 929: dt=0.0353, 271 negative triangles 930: dt=0.0353, 272 negative triangles 931: dt=0.0353, 273 negative triangles 932: dt=0.0335, 271 negative triangles 933: dt=0.0335, 271 negative triangles 934: dt=0.0335, 273 negative triangles 935: dt=0.0335, 271 negative triangles 936: dt=0.0335, 272 negative triangles 937: dt=0.0335, 272 negative triangles 938: dt=0.0335, 271 negative triangles 939: dt=0.0335, 272 negative triangles 940: dt=0.0335, 272 negative triangles 941: dt=0.0335, 271 negative triangles 942: dt=0.0319, 272 negative triangles 943: dt=0.0319, 271 negative triangles 944: dt=0.0319, 272 negative triangles 945: dt=0.0319, 272 negative triangles 946: dt=0.0319, 272 negative triangles 947: dt=0.0319, 272 negative triangles 948: dt=0.0319, 273 negative triangles 949: dt=0.0319, 272 negative triangles 950: dt=0.0319, 272 negative triangles 951: dt=0.0319, 271 negative triangles 952: dt=0.0303, 272 negative triangles 953: dt=0.0303, 272 negative triangles 954: dt=0.0303, 273 negative triangles 955: dt=0.0303, 272 negative triangles 956: dt=0.0303, 272 negative triangles 957: dt=0.0303, 271 negative triangles 958: dt=0.0303, 273 negative triangles 959: dt=0.0303, 270 negative triangles 960: dt=0.0303, 272 negative triangles 961: dt=0.0303, 273 negative triangles 962: dt=0.0287, 270 negative triangles 963: dt=0.0287, 272 negative triangles 964: dt=0.0287, 273 negative triangles 965: dt=0.0287, 270 negative triangles 966: dt=0.0287, 272 negative triangles 967: dt=0.0287, 273 negative triangles 968: dt=0.0287, 270 negative triangles 969: dt=0.0287, 273 negative triangles 970: dt=0.0287, 272 negative triangles 971: dt=0.0287, 272 negative triangles 972: dt=0.0273, 271 negative triangles 973: dt=0.0273, 272 negative triangles 974: dt=0.0273, 272 negative triangles 975: dt=0.0273, 272 negative triangles 976: dt=0.0273, 271 negative triangles 977: dt=0.0273, 272 negative triangles 978: dt=0.0273, 273 negative triangles 979: dt=0.0273, 271 negative triangles 980: dt=0.0273, 273 negative triangles 981: dt=0.0273, 271 negative triangles 982: dt=0.0259, 272 negative triangles 983: dt=0.0259, 272 negative triangles 984: dt=0.0259, 272 negative triangles 985: dt=0.0259, 271 negative triangles 986: dt=0.0259, 273 negative triangles 987: dt=0.0259, 271 negative triangles 988: dt=0.0259, 271 negative triangles 989: dt=0.0259, 273 negative triangles 990: dt=0.0259, 271 negative triangles 991: dt=0.0259, 273 negative triangles 992: dt=0.0246, 271 negative triangles 993: dt=0.0246, 272 negative triangles 994: dt=0.0246, 273 negative triangles 995: dt=0.0246, 272 negative triangles 996: dt=0.0246, 272 negative triangles 997: dt=0.0246, 272 negative triangles 998: dt=0.0246, 272 negative triangles 999: dt=0.0246, 271 negative triangles 1000: dt=0.0246, 273 negative triangles 1001: dt=0.0246, 272 negative triangles 1002: dt=0.0234, 272 negative triangles 1003: dt=0.0234, 271 negative triangles 1004: dt=0.0234, 272 negative triangles 1005: dt=0.0234, 272 negative triangles 1006: dt=0.0234, 272 negative triangles 1007: dt=0.0234, 272 negative triangles 1008: dt=0.0234, 272 negative triangles 1009: dt=0.0234, 271 negative triangles 1010: dt=0.0234, 272 negative triangles 1011: dt=0.0234, 271 negative triangles 1012: dt=0.0222, 272 negative triangles 1013: dt=0.0222, 273 negative triangles 1014: dt=0.0222, 272 negative triangles 1015: dt=0.0222, 271 negative triangles 1016: dt=0.0222, 273 negative triangles 1017: dt=0.0222, 271 negative triangles 1018: dt=0.0222, 271 negative triangles 1019: dt=0.0222, 272 negative triangles 1020: dt=0.0222, 272 negative triangles 1021: dt=0.0222, 272 negative triangles 1022: dt=0.0211, 273 negative triangles 1023: dt=0.0211, 272 negative triangles 1024: dt=0.0211, 271 negative triangles 1025: dt=0.0211, 273 negative triangles 1026: dt=0.0211, 271 negative triangles 1027: dt=0.0211, 272 negative triangles 1028: dt=0.0211, 272 negative triangles 1029: dt=0.0211, 271 negative triangles 1030: dt=0.0211, 272 negative triangles 1031: dt=0.0211, 272 negative triangles 1032: dt=0.0201, 271 negative triangles 1033: dt=0.0201, 272 negative triangles 1034: dt=0.0201, 272 negative triangles 1035: dt=0.0201, 273 negative triangles 1036: dt=0.0201, 273 negative triangles 1037: dt=0.0201, 272 negative triangles 1038: dt=0.0201, 271 negative triangles 1039: dt=0.0201, 272 negative triangles 1040: dt=0.0201, 272 negative triangles 1041: dt=0.0201, 271 negative triangles 1042: dt=0.0191, 272 negative triangles 1043: dt=0.0191, 272 negative triangles 1044: dt=0.0191, 272 negative triangles 1045: dt=0.0191, 272 negative triangles 1046: dt=0.0191, 271 negative triangles 1047: dt=0.0191, 272 negative triangles 1048: dt=0.0191, 274 negative triangles 1049: dt=0.0191, 270 negative triangles 1050: dt=0.0191, 272 negative triangles 1051: dt=0.0191, 272 negative triangles 1052: dt=0.0181, 272 negative triangles 1053: dt=0.0181, 272 negative triangles 1054: dt=0.0181, 271 negative triangles 1055: dt=0.0181, 272 negative triangles 1056: dt=0.0181, 272 negative triangles 1057: dt=0.0181, 271 negative triangles 1058: dt=0.0181, 273 negative triangles 1059: dt=0.0181, 272 negative triangles 1060: dt=0.0181, 271 negative triangles 1061: dt=0.0181, 273 negative triangles 1062: dt=0.0172, 273 negative triangles 1063: dt=0.0172, 270 negative triangles 1064: dt=0.0172, 272 negative triangles 1065: dt=0.0172, 274 negative triangles 1066: dt=0.0172, 271 negative triangles 1067: dt=0.0172, 272 negative triangles 1068: dt=0.0172, 271 negative triangles 1069: dt=0.0172, 272 negative triangles 1070: dt=0.0172, 273 negative triangles 1071: dt=0.0172, 272 negative triangles 1072: dt=0.0164, 270 negative triangles 1073: dt=0.0164, 273 negative triangles 1074: dt=0.0164, 271 negative triangles 1075: dt=0.0164, 272 negative triangles 1076: dt=0.0164, 272 negative triangles 1077: dt=0.0164, 272 negative triangles 1078: dt=0.0164, 271 negative triangles 1079: dt=0.0164, 273 negative triangles 1080: dt=0.0164, 273 negative triangles 1081: dt=0.0164, 272 negative triangles 1082: dt=0.0155, 271 negative triangles 1083: dt=0.0155, 272 negative triangles 1084: dt=0.0155, 273 negative triangles 1085: dt=0.0155, 270 negative triangles 1086: dt=0.0155, 272 negative triangles 1087: dt=0.0155, 274 negative triangles 1088: dt=0.0155, 273 negative triangles 1089: dt=0.0155, 272 negative triangles 1090: dt=0.0155, 271 negative triangles 1091: dt=0.0155, 272 negative triangles 1092: dt=0.0148, 272 negative triangles 1093: dt=0.0148, 272 negative triangles 1094: dt=0.0148, 273 negative triangles 1095: dt=0.0148, 270 negative triangles 1096: dt=0.0148, 272 negative triangles 1097: dt=0.0148, 272 negative triangles 1098: dt=0.0148, 272 negative triangles 1099: dt=0.0148, 271 negative triangles 1100: dt=0.0148, 272 negative triangles 1101: dt=0.0148, 272 negative triangles 1102: dt=0.0140, 274 negative triangles 1103: dt=0.0140, 272 negative triangles 1104: dt=0.0140, 271 negative triangles 1105: dt=0.0140, 273 negative triangles 1106: dt=0.0140, 272 negative triangles 1107: dt=0.0140, 270 negative triangles 1108: dt=0.0140, 273 negative triangles 1109: dt=0.0140, 272 negative triangles 1110: dt=0.0140, 271 negative triangles writing registered surface to ../surf/lh.sphere.reg... 1111: dt=0.0140, 272 negative triangles 1112: 272 negative triangles registration took 2.17 hours mris_register utimesec 7805.645361 mris_register stimesec 1.219814 mris_register ru_maxrss 229096 mris_register ru_ixrss 0 mris_register ru_idrss 0 mris_register ru_isrss 0 mris_register ru_minflt 28849 mris_register ru_majflt 0 mris_register ru_nswap 0 mris_register ru_inblock 5584 mris_register ru_oublock 9640 mris_register ru_msgsnd 0 mris_register ru_msgrcv 0 mris_register ru_nsignals 0 mris_register ru_nvcsw 239 mris_register ru_nivcsw 12349 FSRUNTIME@ mris_register 2.1693 hours 1 threads @#@FSTIME 2017:01:19:15:27:21 mris_register N 6 e 7809.40 S 1.22 U 7805.64 P 99% M 229096 F 0 R 28854 W 0 c 12350 w 248 I 5584 O 9648 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:17:37:30 mris_register N 6 5.00 5.00 5.00 #-------------------------------------------- #@# Surf Reg rh Thu Jan 19 17:37:30 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_register.rh.dat ../surf/rh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/rh.sphere.reg using smoothwm curvature for final alignment cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts cmdline mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/touch/rusage.mris_register.rh.dat ../surf/rh.sphere /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif ../surf/rh.sphere.reg 0 inflated.H 1 sulc 2 smoothwm (computed) $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading surface from ../surf/rh.sphere... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... MRISregister() ------- max_passes = 4 min_degrees = 0.500000 max_degrees = 64.000000 nangles = 8 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height -1.000000 momentum 0.950000 nbhd_size -10 max_nbrs 10 niterations 25 nsurfaces 0 SURFACES 3 flags 16 (10) use curv 16 no sulc 0 no rigid align 0 mris->nsize 1 mris->hemisphere 1 randomSeed 0 tol=5.0e-01, sigma=0.0, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=1.000, l_dist=5.000 using quadratic fit line minimization -------------------- 1 Reading rh.sulc curvature mean = -0.000, std = 5.388 curvature mean = 0.022, std = 0.818 curvature mean = 0.022, std = 0.863 Starting MRISrigidBodyAlignGlobal() d=64.00 min @ (16.00, 0.00, 0.00) sse = 334627.0, tmin=1.6435 d=32.00 min @ (-8.00, -8.00, 8.00) sse = 259463.2, tmin=3.2660 d=16.00 min @ (-4.00, 4.00, -4.00) sse = 206700.3, tmin=4.8063 d=8.00 min @ (0.00, -2.00, 0.00) sse = 194317.0, tmin=6.3876 d=4.00 min @ (1.00, 0.00, 1.00) sse = 191550.8, tmin=8.0133 d=2.00 min @ (0.00, 0.00, -0.50) sse = 191175.9, tmin=9.6409 d=0.50 min @ (-0.12, 0.00, 0.12) sse = 191114.7, tmin=12.8695 tol=1.0e+00, sigma=0.5, host=compu, nav=1024, nbrs=1, l_extern=10000.000, l_parea=0.200, l_nlarea=1.000, l_corr=0.050, l_spring=0.500, l_dist=5.000 using quadratic fit line minimization MRISrigidBodyAlignGlobal() done 12.87 min curvature mean = -0.006, std = 0.824 curvature mean = 0.009, std = 0.949 curvature mean = -0.012, std = 0.833 curvature mean = 0.003, std = 0.980 curvature mean = -0.014, std = 0.834 curvature mean = 0.001, std = 0.992 2 Reading smoothwm curvature mean = -0.026, std = 0.286 curvature mean = 0.032, std = 0.241 curvature mean = 0.065, std = 0.347 curvature mean = 0.029, std = 0.299 curvature mean = 0.033, std = 0.538 curvature mean = 0.028, std = 0.327 curvature mean = 0.016, std = 0.682 curvature mean = 0.027, std = 0.339 curvature mean = 0.004, std = 0.790 MRISregister() return, current seed 0 -01: dt=0.0000, 81 negative triangles 122: dt=0.9900, 81 negative triangles expanding nbhd size to 1 123: dt=0.9900, 93 negative triangles 124: dt=0.9900, 81 negative triangles 125: dt=0.9900, 70 negative triangles 126: dt=0.9900, 64 negative triangles 127: dt=0.9900, 57 negative triangles 128: dt=0.9900, 55 negative triangles 129: dt=0.9900, 54 negative triangles 130: dt=0.9900, 51 negative triangles 131: dt=0.9900, 48 negative triangles 132: dt=0.9900, 52 negative triangles 133: dt=0.9900, 49 negative triangles 134: dt=0.9900, 44 negative triangles 135: dt=0.9900, 46 negative triangles 136: dt=0.9900, 41 negative triangles 137: dt=0.9900, 40 negative triangles 138: dt=0.9900, 44 negative triangles 139: dt=0.9900, 39 negative triangles 140: dt=0.9900, 36 negative triangles 141: dt=0.9900, 32 negative triangles 142: dt=0.9900, 31 negative triangles 143: dt=0.9900, 32 negative triangles 144: dt=0.9900, 31 negative triangles 145: dt=0.9900, 29 negative triangles 146: dt=0.9900, 31 negative triangles 147: dt=0.9900, 30 negative triangles 148: dt=0.9900, 25 negative triangles 149: dt=0.9900, 25 negative triangles 150: dt=0.9900, 24 negative triangles 151: dt=0.9900, 21 negative triangles 152: dt=0.9900, 20 negative triangles 153: dt=0.9900, 20 negative triangles 154: dt=0.9900, 18 negative triangles 155: dt=0.9900, 16 negative triangles 156: dt=0.9900, 16 negative triangles 157: dt=0.9900, 14 negative triangles 158: dt=0.9900, 15 negative triangles 159: dt=0.9900, 11 negative triangles 160: dt=0.9900, 10 negative triangles 161: dt=0.9900, 7 negative triangles 162: dt=0.9900, 6 negative triangles 163: dt=0.9900, 7 negative triangles 164: dt=0.9900, 6 negative triangles 165: dt=0.9900, 5 negative triangles 166: dt=0.9900, 4 negative triangles 167: dt=0.9900, 3 negative triangles 168: dt=0.9900, 4 negative triangles 169: dt=0.9900, 3 negative triangles 170: dt=0.9900, 4 negative triangles 171: dt=0.9900, 2 negative triangles 172: dt=0.9900, 2 negative triangles 173: dt=0.9900, 2 negative triangles 174: dt=0.9900, 2 negative triangles 175: dt=0.9900, 3 negative triangles 176: dt=0.9900, 2 negative triangles 177: dt=0.9900, 2 negative triangles 178: dt=0.9900, 1 negative triangles 179: dt=0.9900, 1 negative triangles 180: dt=0.9900, 1 negative triangles writing registered surface to ../surf/rh.sphere.reg... registration took 1.88 hours mris_register utimesec 6752.963393 mris_register stimesec 1.107831 mris_register ru_maxrss 229720 mris_register ru_ixrss 0 mris_register ru_idrss 0 mris_register ru_isrss 0 mris_register ru_minflt 27982 mris_register ru_majflt 0 mris_register ru_nswap 0 mris_register ru_inblock 5584 mris_register ru_oublock 9656 mris_register ru_msgsnd 0 mris_register ru_msgrcv 0 mris_register ru_nsignals 0 mris_register ru_nvcsw 235 mris_register ru_nivcsw 9957 FSRUNTIME@ mris_register 1.8767 hours 1 threads @#@FSTIME 2017:01:19:17:37:30 mris_register N 6 e 6756.28 S 1.10 U 6752.96 P 99% M 229720 F 0 R 27987 W 0 c 9958 w 241 I 5584 O 9664 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:07 mris_register N 6 5.00 5.00 5.00 #-------------------------------------------- #@# Jacobian white lh Thu Jan 19 19:30:07 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_jacobian ../surf/lh.white.preaparc ../surf/lh.sphere.reg ../surf/lh.jacobian_white reading surface from ../surf/lh.white.preaparc... writing curvature file ../surf/lh.jacobian_white @#@FSTIME 2017:01:19:19:30:07 mris_jacobian N 3 e 2.63 S 0.08 U 2.43 P 95% M 175436 F 0 R 22508 W 0 c 26 w 44 I 0 O 1072 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:09 mris_jacobian N 3 5.00 5.00 5.00 #-------------------------------------------- #@# Jacobian white rh Thu Jan 19 19:30:10 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_jacobian ../surf/rh.white.preaparc ../surf/rh.sphere.reg ../surf/rh.jacobian_white reading surface from ../surf/rh.white.preaparc... writing curvature file ../surf/rh.jacobian_white @#@FSTIME 2017:01:19:19:30:10 mris_jacobian N 3 e 2.89 S 0.09 U 2.68 P 96% M 175524 F 0 R 22530 W 0 c 482 w 40 I 0 O 1080 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:12 mris_jacobian N 3 5.00 5.00 5.00 #-------------------------------------------- #@# AvgCurv lh Thu Jan 19 19:30:13 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mrisp_paint -a 5 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif#6 ../surf/lh.sphere.reg ../surf/lh.avg_curv averaging curvature patterns 5 times... reading surface from ../surf/lh.sphere.reg... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... writing curvature file to ../surf/lh.avg_curv... @#@FSTIME 2017:01:19:19:30:13 mrisp_paint N 5 e 2.24 S 0.09 U 2.03 P 95% M 180712 F 0 R 23302 W 0 c 34 w 41 I 0 O 1072 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:15 mrisp_paint N 5 5.00 5.00 5.00 #-------------------------------------------- #@# AvgCurv rh Thu Jan 19 19:30:15 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mrisp_paint -a 5 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif#6 ../surf/rh.sphere.reg ../surf/rh.avg_curv averaging curvature patterns 5 times... reading surface from ../surf/rh.sphere.reg... reading template parameterization from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.folding.atlas.acfb40.noaparc.i12.2016-08-02.tif... writing curvature file to ../surf/rh.avg_curv... @#@FSTIME 2017:01:19:19:30:15 mrisp_paint N 5 e 2.34 S 0.08 U 2.14 P 95% M 180808 F 0 R 23327 W 0 c 36 w 39 I 0 O 1080 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:17 mrisp_paint N 5 5.00 5.00 5.00 #----------------------------------------- #@# Cortical Parc lh Thu Jan 19 19:30:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 111 lh ../surf/lh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/lh.aparc.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 0.8 using min determinant for regularization = 0.006 0 singular and 342 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1432 labels changed using aseg relabeling using gibbs priors... 000: 3019 changed, 136995 examined... 001: 722 changed, 12882 examined... 002: 186 changed, 3908 examined... 003: 74 changed, 1107 examined... 004: 24 changed, 424 examined... 005: 13 changed, 153 examined... 006: 7 changed, 84 examined... 007: 2 changed, 42 examined... 008: 2 changed, 12 examined... 009: 0 changed, 8 examined... 287 labels changed using aseg 000: 145 total segments, 100 labels (343 vertices) changed 001: 48 total segments, 6 labels (21 vertices) changed 002: 41 total segments, 1 labels (5 vertices) changed 003: 40 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 3 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 2353 vertices marked for relabeling... 2353 labels changed in reclassification. writing output to ../label/lh.aparc.annot... classification took 0 minutes and 19 seconds. @#@FSTIME 2017:01:19:19:30:17 mris_ca_label N 11 e 19.15 S 0.34 U 18.57 P 98% M 533412 F 0 R 82786 W 0 c 706 w 94 I 0 O 2144 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:37 mris_ca_label N 11 5.00 5.00 5.00 #----------------------------------------- #@# Cortical Parc rh Thu Jan 19 19:30:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 111 rh ../surf/rh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/rh.aparc.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 0.7 using min determinant for regularization = 0.004 0 singular and 309 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1082 labels changed using aseg relabeling using gibbs priors... 000: 2849 changed, 137225 examined... 001: 589 changed, 12204 examined... 002: 131 changed, 3364 examined... 003: 54 changed, 810 examined... 004: 21 changed, 327 examined... 005: 7 changed, 137 examined... 006: 3 changed, 49 examined... 007: 3 changed, 21 examined... 008: 0 changed, 13 examined... 200 labels changed using aseg 000: 98 total segments, 60 labels (113 vertices) changed 001: 40 total segments, 2 labels (3 vertices) changed 002: 38 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 3 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 1915 vertices marked for relabeling... 1915 labels changed in reclassification. writing output to ../label/rh.aparc.annot... classification took 0 minutes and 18 seconds. @#@FSTIME 2017:01:19:19:30:37 mris_ca_label N 11 e 17.85 S 0.29 U 17.35 P 98% M 513808 F 0 R 79002 W 0 c 125 w 82 I 0 O 2152 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:30:55 mris_ca_label N 11 5.00 5.00 5.00 #-------------------------------------------- #@# Make Pial Surf lh Thu Jan 19 19:30:55 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_make_surfaces -orig_white white.preaparc -orig_pial white.preaparc -aseg ../mri/aseg.presurf -mgz -T1 brain.finalsurfs 111 lh using white.preaparc starting white location... using white.preaparc starting pial locations... using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... 26392 bright wm thresholded. 2883 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.orig... computing class statistics... border white: 266906 voxels (1.59%) border gray 292615 voxels (1.74%) WM (97.0): 97.5 +- 9.1 [70.0 --> 110.0] GM (69.0) : 68.4 +- 10.9 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 53.1 (was 70) setting MAX_BORDER_WHITE to 111.1 (was 105) setting MIN_BORDER_WHITE to 64.0 (was 85) setting MAX_CSF to 42.3 (was 40) setting MAX_GRAY to 92.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 53.1 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 31.4 (was 40) using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=102+-6.1, GM=64+-8.7 mean inside = 92.1, mean outside = 71.7 smoothing surface for 5 iterations... reading initial white vertex positions from white.preaparc... reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.89 +- 0.25 (0.03-->4.75) (max @ vno 92766 --> 92783) face area 0.33 +- 0.16 (0.00-->2.81) mean absolute distance = 0.75 +- 0.97 2812 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... deleting segment 1 with 11 points - only 0.00% unknown deleting segment 3 with 376 points - only 0.00% unknown deleting segment 4 with 17 points - only 0.00% unknown deleting segment 5 with 5 points - only 0.00% unknown deleting segment 6 with 19 points - only 0.00% unknown mean border=76.2, 293 (289) missing vertices, mean dist 0.4 [1.6 (%11.2)->0.6 (%88.8))] %50 local maxima, %45 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 0 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.92 +- 0.26 (0.09-->4.53) (max @ vno 92766 --> 92783) face area 0.33 +- 0.16 (0.00-->3.01) mean absolute distance = 0.40 +- 0.66 3456 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=3208638.0, rms=9.917 001: dt: 0.5000, sse=1553608.8, rms=5.887 (40.631%) 002: dt: 0.5000, sse=1074590.2, rms=4.064 (30.970%) 003: dt: 0.5000, sse=977611.2, rms=3.593 (11.603%) 004: dt: 0.5000, sse=924044.9, rms=3.304 (8.030%) rms = 3.39, time step reduction 1 of 3 to 0.250... 005: dt: 0.2500, sse=789286.5, rms=2.345 (29.029%) 006: dt: 0.2500, sse=739903.7, rms=1.866 (20.419%) 007: dt: 0.2500, sse=724783.0, rms=1.694 (9.230%) 008: dt: 0.2500, sse=721064.5, rms=1.642 (3.040%) rms = 1.61, time step reduction 2 of 3 to 0.125... 009: dt: 0.2500, sse=718118.8, rms=1.608 (2.073%) 010: dt: 0.1250, sse=713100.0, rms=1.541 (4.214%) rms = 1.53, time step reduction 3 of 3 to 0.062... 011: dt: 0.1250, sse=712676.2, rms=1.532 (0.587%) positioning took 1.3 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group deleting segment 0 with 2 points - only 0.00% unknown removing 2 vertex label from ripped group removing 4 vertex label from ripped group deleting segment 3 with 162 points - only 0.00% unknown deleting segment 4 with 58 points - only 0.00% unknown deleting segment 5 with 6 points - only 0.00% unknown deleting segment 6 with 5 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 7 with 2 points - only 0.00% unknown deleting segment 8 with 19 points - only 0.00% unknown mean border=80.0, 225 (149) missing vertices, mean dist -0.3 [0.5 (%71.1)->0.2 (%28.9))] %66 local maxima, %29 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.90 +- 0.25 (0.07-->4.70) (max @ vno 92766 --> 92783) face area 0.36 +- 0.17 (0.00-->3.72) mean absolute distance = 0.29 +- 0.42 3549 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1463851.5, rms=5.418 012: dt: 0.5000, sse=1025999.9, rms=3.544 (34.591%) 013: dt: 0.5000, sse=1002006.2, rms=3.439 (2.948%) 014: dt: 0.5000, sse=982354.5, rms=3.337 (2.986%) rms = 3.51, time step reduction 1 of 3 to 0.250... 015: dt: 0.2500, sse=825472.9, rms=2.207 (33.853%) 016: dt: 0.2500, sse=768942.2, rms=1.643 (25.533%) 017: dt: 0.2500, sse=754967.6, rms=1.457 (11.374%) 018: dt: 0.2500, sse=751316.6, rms=1.395 (4.206%) rms = 1.36, time step reduction 2 of 3 to 0.125... 019: dt: 0.2500, sse=748520.8, rms=1.364 (2.279%) 020: dt: 0.1250, sse=742598.1, rms=1.280 (6.144%) rms = 1.28, time step reduction 3 of 3 to 0.062... 021: dt: 0.1250, sse=742436.8, rms=1.278 (0.112%) positioning took 1.2 minutes inhibiting deformation at non-cortical midline structures... removing 1 vertex label from ripped group deleting segment 0 with 1 points - only 0.00% unknown deleting segment 1 with 162 points - only 0.00% unknown deleting segment 2 with 74 points - only 0.00% unknown deleting segment 3 with 11 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 4 with 2 points - only 0.00% unknown deleting segment 5 with 16 points - only 0.00% unknown mean border=83.4, 231 (135) missing vertices, mean dist -0.2 [0.3 (%74.5)->0.2 (%25.5))] %82 local maxima, %13 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.89 +- 0.25 (0.09-->4.60) (max @ vno 92766 --> 92783) face area 0.34 +- 0.17 (0.00-->3.54) mean absolute distance = 0.22 +- 0.32 2635 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1138070.6, rms=4.237 022: dt: 0.5000, sse=919168.9, rms=3.053 (27.944%) rms = 3.26, time step reduction 1 of 3 to 0.250... 023: dt: 0.2500, sse=782756.6, rms=2.030 (33.523%) 024: dt: 0.2500, sse=732755.2, rms=1.477 (27.214%) 025: dt: 0.2500, sse=717527.4, rms=1.291 (12.577%) rms = 1.27, time step reduction 2 of 3 to 0.125... 026: dt: 0.2500, sse=715445.2, rms=1.267 (1.868%) 027: dt: 0.1250, sse=709399.9, rms=1.167 (7.954%) rms = 1.16, time step reduction 3 of 3 to 0.062... 028: dt: 0.1250, sse=709238.1, rms=1.163 (0.265%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 186 points - only 0.00% unknown deleting segment 1 with 81 points - only 0.00% unknown deleting segment 2 with 19 points - only 0.00% unknown deleting segment 3 with 16 points - only 0.00% unknown mean border=84.5, 248 (131) missing vertices, mean dist -0.1 [0.2 (%58.7)->0.2 (%41.3))] %86 local maxima, % 8 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... writing smoothed curvature to lh.curv 000: dt: 0.0000, sse=745737.6, rms=1.820 rms = 2.10, time step reduction 1 of 3 to 0.250... 029: dt: 0.2500, sse=696188.0, rms=1.183 (34.993%) 030: dt: 0.2500, sse=681655.1, rms=0.857 (27.527%) rms = 0.88, time step reduction 2 of 3 to 0.125... rms = 0.85, time step reduction 3 of 3 to 0.062... 031: dt: 0.1250, sse=679754.6, rms=0.851 (0.700%) positioning took 0.5 minutes generating cortex label... 15 non-cortical segments detected only using segment with 7905 vertices erasing segment 1 (vno[0] = 80640) erasing segment 2 (vno[0] = 93576) erasing segment 3 (vno[0] = 93588) erasing segment 4 (vno[0] = 93842) erasing segment 5 (vno[0] = 93862) erasing segment 6 (vno[0] = 94519) erasing segment 7 (vno[0] = 96139) erasing segment 8 (vno[0] = 96147) erasing segment 9 (vno[0] = 97080) erasing segment 10 (vno[0] = 99079) erasing segment 11 (vno[0] = 99204) erasing segment 12 (vno[0] = 101061) erasing segment 13 (vno[0] = 109565) erasing segment 14 (vno[0] = 136742) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.curv writing smoothed area to lh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.area vertex spacing 0.89 +- 0.26 (0.03-->4.74) (max @ vno 92766 --> 92783) face area 0.33 +- 0.16 (0.00-->3.59) repositioning cortical surface to gray/csf boundary. smoothing T1 volume with sigma = 2.000 averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group deleting segment 2 with 13 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 3 with 1 points - only 0.00% unknown smoothing surface for 5 iterations... reading initial pial vertex positions from white.preaparc... mean border=50.8, 277 (277) missing vertices, mean dist 2.0 [0.5 (%0.0)->2.5 (%100.0))] %16 local maxima, %61 large gradients and %18 min vals, 138 gradients ignored perforing initial smooth deformation to move away from white surface tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=31109406.0, rms=34.240 001: dt: 0.0500, sse=27465888.0, rms=32.127 (6.171%) 002: dt: 0.0500, sse=24865556.0, rms=30.530 (4.973%) 003: dt: 0.0500, sse=22881422.0, rms=29.252 (4.185%) 004: dt: 0.0500, sse=21282248.0, rms=28.180 (3.665%) 005: dt: 0.0500, sse=19941156.0, rms=27.248 (3.306%) 006: dt: 0.0500, sse=18782086.0, rms=26.417 (3.052%) 007: dt: 0.0500, sse=17758264.0, rms=25.660 (2.866%) 008: dt: 0.0500, sse=16839996.0, rms=24.961 (2.723%) 009: dt: 0.0500, sse=16006801.0, rms=24.310 (2.609%) 010: dt: 0.0500, sse=15243191.0, rms=23.697 (2.520%) positioning took 1.1 minutes mean border=50.6, 206 (176) missing vertices, mean dist 1.6 [0.3 (%0.0)->1.9 (%100.0))] %17 local maxima, %61 large gradients and %17 min vals, 127 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=15955679.0, rms=24.264 011: dt: 0.0500, sse=15245892.0, rms=23.695 (2.348%) 012: dt: 0.0500, sse=14587472.0, rms=23.154 (2.283%) 013: dt: 0.0500, sse=13974300.0, rms=22.638 (2.226%) 014: dt: 0.0500, sse=13401319.0, rms=22.146 (2.176%) 015: dt: 0.0500, sse=12864872.0, rms=21.674 (2.129%) 016: dt: 0.0500, sse=12361660.0, rms=21.222 (2.084%) 017: dt: 0.0500, sse=11888462.0, rms=20.789 (2.044%) 018: dt: 0.0500, sse=11443648.0, rms=20.372 (2.003%) 019: dt: 0.0500, sse=11024468.0, rms=19.972 (1.965%) 020: dt: 0.0500, sse=10629484.0, rms=19.587 (1.927%) positioning took 1.1 minutes mean border=50.4, 188 (135) missing vertices, mean dist 1.3 [0.1 (%0.7)->1.6 (%99.3))] %17 local maxima, %61 large gradients and %17 min vals, 122 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=10720739.0, rms=19.680 021: dt: 0.0500, sse=10337873.0, rms=19.301 (1.923%) 022: dt: 0.0500, sse=9977478.0, rms=18.938 (1.882%) 023: dt: 0.0500, sse=9634640.0, rms=18.586 (1.860%) 024: dt: 0.0500, sse=9311231.0, rms=18.248 (1.821%) 025: dt: 0.0500, sse=9005980.0, rms=17.922 (1.784%) 026: dt: 0.0500, sse=8716997.0, rms=17.608 (1.751%) 027: dt: 0.0500, sse=8441090.0, rms=17.303 (1.732%) 028: dt: 0.0500, sse=8174163.0, rms=17.003 (1.735%) 029: dt: 0.0500, sse=7916681.0, rms=16.708 (1.734%) 030: dt: 0.0500, sse=7668715.5, rms=16.419 (1.730%) positioning took 1.1 minutes mean border=50.3, 169 (107) missing vertices, mean dist 1.0 [0.1 (%8.6)->1.4 (%91.4))] %17 local maxima, %61 large gradients and %16 min vals, 113 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 1.000 averaging target values for 5 iterations... 000: dt: 0.0000, sse=7794486.5, rms=16.565 031: dt: 0.5000, sse=6051726.5, rms=14.395 (13.100%) 032: dt: 0.5000, sse=4775648.5, rms=12.563 (12.722%) 033: dt: 0.5000, sse=3776571.0, rms=10.923 (13.053%) 034: dt: 0.5000, sse=3003081.5, rms=9.450 (13.491%) 035: dt: 0.5000, sse=2452153.0, rms=8.246 (12.738%) 036: dt: 0.5000, sse=2069386.1, rms=7.286 (11.646%) 037: dt: 0.5000, sse=1820012.6, rms=6.592 (9.518%) 038: dt: 0.5000, sse=1655126.6, rms=6.082 (7.740%) 039: dt: 0.5000, sse=1550905.4, rms=5.744 (5.565%) 040: dt: 0.5000, sse=1485790.8, rms=5.514 (3.996%) 041: dt: 0.5000, sse=1445536.1, rms=5.373 (2.554%) 042: dt: 0.5000, sse=1415896.0, rms=5.259 (2.131%) 043: dt: 0.5000, sse=1399539.4, rms=5.202 (1.073%) rms = 5.16, time step reduction 1 of 3 to 0.250... 044: dt: 0.5000, sse=1390987.5, rms=5.164 (0.747%) 045: dt: 0.2500, sse=1201825.8, rms=4.345 (15.857%) 046: dt: 0.2500, sse=1157181.0, rms=4.137 (4.775%) rms = 4.11, time step reduction 2 of 3 to 0.125... 047: dt: 0.2500, sse=1151587.4, rms=4.107 (0.743%) 048: dt: 0.1250, sse=1119471.2, rms=3.945 (3.935%) rms = 3.92, time step reduction 3 of 3 to 0.062... 049: dt: 0.1250, sse=1114604.2, rms=3.921 (0.617%) positioning took 2.4 minutes mean border=48.4, 1344 (35) missing vertices, mean dist 0.2 [0.2 (%43.8)->0.4 (%56.2))] %36 local maxima, %44 large gradients and %14 min vals, 64 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=8, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1505288.5, rms=4.825 050: dt: 0.5000, sse=1421938.2, rms=4.478 (7.196%) rms = 4.57, time step reduction 1 of 3 to 0.250... 051: dt: 0.2500, sse=1244684.6, rms=3.607 (19.450%) 052: dt: 0.2500, sse=1190730.5, rms=3.304 (8.411%) 053: dt: 0.2500, sse=1178242.6, rms=3.231 (2.203%) rms = 3.20, time step reduction 2 of 3 to 0.125... 054: dt: 0.2500, sse=1172073.5, rms=3.197 (1.040%) 055: dt: 0.1250, sse=1139265.9, rms=2.982 (6.737%) rms = 2.95, time step reduction 3 of 3 to 0.062... 056: dt: 0.1250, sse=1133408.1, rms=2.946 (1.217%) positioning took 1.0 minutes mean border=46.8, 1545 (13) missing vertices, mean dist 0.1 [0.1 (%42.7)->0.3 (%57.3))] %53 local maxima, %27 large gradients and %13 min vals, 87 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=4, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1281362.6, rms=3.768 rms = 4.32, time step reduction 1 of 3 to 0.250... 057: dt: 0.2500, sse=1183991.2, rms=3.221 (14.518%) 058: dt: 0.2500, sse=1156180.4, rms=3.045 (5.455%) rms = 3.01, time step reduction 2 of 3 to 0.125... 059: dt: 0.2500, sse=1148853.9, rms=3.013 (1.069%) 060: dt: 0.1250, sse=1128374.2, rms=2.872 (4.684%) rms = 2.84, time step reduction 3 of 3 to 0.062... 061: dt: 0.1250, sse=1123035.5, rms=2.838 (1.162%) positioning took 0.8 minutes mean border=45.9, 2443 (13) missing vertices, mean dist 0.1 [0.2 (%45.6)->0.3 (%54.4))] %59 local maxima, %22 large gradients and %13 min vals, 82 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=2, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing pial surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... writing smoothed curvature to lh.curv.pial 000: dt: 0.0000, sse=1165084.9, rms=3.112 rms = 3.89, time step reduction 1 of 3 to 0.250... 062: dt: 0.2500, sse=1128343.0, rms=2.865 (7.922%) 063: dt: 0.2500, sse=1118091.8, rms=2.804 (2.147%) rms = 2.80, time step reduction 2 of 3 to 0.125... 064: dt: 0.2500, sse=1116233.5, rms=2.803 (0.033%) 065: dt: 0.1250, sse=1097345.0, rms=2.666 (4.886%) rms = 2.64, time step reduction 3 of 3 to 0.062... 066: dt: 0.1250, sse=1092947.9, rms=2.638 (1.056%) positioning took 0.7 minutes writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.curv.pial writing smoothed area to lh.area.pial writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.area.pial vertex spacing 1.01 +- 0.42 (0.07-->7.27) (max @ vno 91005 --> 89940) face area 0.41 +- 0.31 (0.00-->5.77) measuring cortical thickness... writing cortical thickness estimate to 'thickness' file. 0 of 136995 vertices processed 25000 of 136995 vertices processed 50000 of 136995 vertices processed 75000 of 136995 vertices processed 100000 of 136995 vertices processed 125000 of 136995 vertices processed 0 of 136995 vertices processed 25000 of 136995 vertices processed 50000 of 136995 vertices processed 75000 of 136995 vertices processed 100000 of 136995 vertices processed 125000 of 136995 vertices processed thickness calculation complete, 167:740 truncations. 38305 vertices at 0 distance 107479 vertices at 1 distance 78676 vertices at 2 distance 26079 vertices at 3 distance 6940 vertices at 4 distance 1787 vertices at 5 distance 578 vertices at 6 distance 212 vertices at 7 distance 90 vertices at 8 distance 55 vertices at 9 distance 34 vertices at 10 distance 24 vertices at 11 distance 26 vertices at 12 distance 10 vertices at 13 distance 7 vertices at 14 distance 9 vertices at 15 distance 6 vertices at 16 distance 6 vertices at 17 distance 4 vertices at 18 distance 4 vertices at 19 distance 1 vertices at 20 distance writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.thickness positioning took 16.4 minutes @#@FSTIME 2017:01:19:19:30:55 mris_make_surfaces N 11 e 983.26 S 4.70 U 977.12 P 99% M 519288 F 0 R 1733468 W 0 c 2444 w 736 I 0 O 35848 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:19:47:18 mris_make_surfaces N 11 5.00 5.00 5.00 #-------------------------------------------- #@# Make Pial Surf rh Thu Jan 19 19:47:18 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_make_surfaces -orig_white white.preaparc -orig_pial white.preaparc -aseg ../mri/aseg.presurf -mgz -T1 brain.finalsurfs 111 rh using white.preaparc starting white location... using white.preaparc starting pial locations... using aseg volume ../mri/aseg.presurf to prevent surfaces crossing the midline INFO: assuming MGZ format for volumes. using brain.finalsurfs as T1 volume... $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... 26392 bright wm thresholded. 2883 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.orig... computing class statistics... border white: 266906 voxels (1.59%) border gray 292615 voxels (1.74%) WM (97.0): 97.5 +- 9.1 [70.0 --> 110.0] GM (69.0) : 68.4 +- 10.9 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 53.1 (was 70) setting MAX_BORDER_WHITE to 113.1 (was 105) setting MIN_BORDER_WHITE to 64.0 (was 85) setting MAX_CSF to 42.3 (was 40) setting MAX_GRAY to 94.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 53.1 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 31.4 (was 40) using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=104+-7.8, GM=64+-9.6 mean inside = 92.2, mean outside = 72.0 smoothing surface for 5 iterations... reading initial white vertex positions from white.preaparc... reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.89 +- 0.25 (0.03-->5.46) (max @ vno 53888 --> 53889) face area 0.33 +- 0.16 (0.00-->3.15) mean absolute distance = 0.75 +- 0.95 2714 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 1 vertex label from ripped group removing 1 vertex label from ripped group deleting segment 3 with 1 points - only 0.00% unknown deleting segment 4 with 175 points - only 0.00% unknown deleting segment 5 with 13 points - only 0.00% unknown deleting segment 6 with 6 points - only 0.00% unknown mean border=76.5, 72 (72) missing vertices, mean dist 0.4 [1.5 (%11.5)->0.7 (%88.5))] %51 local maxima, %45 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=4, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 complete_dist_mat 0 rms 0 smooth_averages 0 remove_neg 0 ico_order 0 which_surface 0 target_radius 0.000000 nfields 0 scale 0.000000 desired_rms_height 0.000000 momentum 0.000000 nbhd_size 0 max_nbrs 0 niterations 25 nsurfaces 0 SURFACES 3 flags 0 (0) use curv 0 no sulc 0 no rigid align 0 mris->nsize 2 mris->hemisphere 1 randomSeed 0 smoothing T1 volume with sigma = 1.000 vertex spacing 0.93 +- 0.26 (0.09-->5.54) (max @ vno 53888 --> 53889) face area 0.33 +- 0.16 (0.00-->2.96) mean absolute distance = 0.40 +- 0.67 3413 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=3264248.8, rms=9.996 001: dt: 0.5000, sse=1591515.9, rms=5.997 (40.006%) 002: dt: 0.5000, sse=1095109.0, rms=4.134 (31.066%) 003: dt: 0.5000, sse=983724.9, rms=3.597 (12.997%) 004: dt: 0.5000, sse=928290.1, rms=3.303 (8.153%) rms = 3.36, time step reduction 1 of 3 to 0.250... 005: dt: 0.2500, sse=795939.4, rms=2.356 (28.666%) 006: dt: 0.2500, sse=745236.6, rms=1.870 (20.626%) 007: dt: 0.2500, sse=728720.7, rms=1.684 (9.950%) 008: dt: 0.2500, sse=723637.8, rms=1.619 (3.892%) rms = 1.57, time step reduction 2 of 3 to 0.125... 009: dt: 0.2500, sse=720034.7, rms=1.572 (2.872%) 010: dt: 0.1250, sse=714785.8, rms=1.501 (4.524%) rms = 1.49, time step reduction 3 of 3 to 0.062... 011: dt: 0.1250, sse=714055.8, rms=1.489 (0.793%) positioning took 1.3 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group deleting segment 1 with 25 points - only 0.00% unknown deleting segment 2 with 25 points - only 0.00% unknown deleting segment 3 with 6 points - only 0.00% unknown removing 3 vertex label from ripped group deleting segment 4 with 3 points - only 0.00% unknown mean border=80.2, 49 (17) missing vertices, mean dist -0.3 [0.5 (%69.8)->0.2 (%30.2))] %66 local maxima, %29 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=2, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 vertex spacing 0.90 +- 0.25 (0.05-->5.64) (max @ vno 53888 --> 53889) face area 0.36 +- 0.17 (0.00-->3.47) mean absolute distance = 0.29 +- 0.42 3463 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1495798.0, rms=5.503 012: dt: 0.5000, sse=1050941.2, rms=3.640 (33.850%) 013: dt: 0.5000, sse=1001914.9, rms=3.413 (6.228%) 014: dt: 0.5000, sse=980981.6, rms=3.313 (2.951%) rms = 3.46, time step reduction 1 of 3 to 0.250... 015: dt: 0.2500, sse=826380.4, rms=2.186 (33.997%) 016: dt: 0.2500, sse=772636.6, rms=1.613 (26.243%) 017: dt: 0.2500, sse=757648.9, rms=1.428 (11.446%) 018: dt: 0.2500, sse=753122.2, rms=1.368 (4.186%) rms = 1.34, time step reduction 2 of 3 to 0.125... 019: dt: 0.2500, sse=750987.8, rms=1.341 (1.992%) 020: dt: 0.1250, sse=745329.7, rms=1.250 (6.762%) rms = 1.25, time step reduction 3 of 3 to 0.062... 021: dt: 0.1250, sse=745519.3, rms=1.248 (0.191%) positioning took 1.2 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 19 points - only 0.00% unknown deleting segment 1 with 26 points - only 0.00% unknown deleting segment 2 with 12 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 3 with 4 points - only 0.00% unknown mean border=83.6, 25 (3) missing vertices, mean dist -0.2 [0.3 (%74.1)->0.2 (%25.9))] %82 local maxima, %13 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=1, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 vertex spacing 0.89 +- 0.25 (0.11-->5.71) (max @ vno 53888 --> 53889) face area 0.34 +- 0.17 (0.00-->3.50) mean absolute distance = 0.23 +- 0.33 2742 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1151945.0, rms=4.272 022: dt: 0.5000, sse=917539.4, rms=3.017 (29.379%) rms = 3.23, time step reduction 1 of 3 to 0.250... 023: dt: 0.2500, sse=785607.6, rms=2.020 (33.032%) 024: dt: 0.2500, sse=734739.1, rms=1.459 (27.787%) 025: dt: 0.2500, sse=720366.1, rms=1.269 (12.992%) rms = 1.25, time step reduction 2 of 3 to 0.125... 026: dt: 0.2500, sse=718337.5, rms=1.247 (1.785%) 027: dt: 0.1250, sse=712346.9, rms=1.148 (7.888%) rms = 1.15, time step reduction 3 of 3 to 0.062... 028: dt: 0.1250, sse=712082.1, rms=1.147 (0.148%) positioning took 0.8 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 29 points - only 0.00% unknown deleting segment 1 with 26 points - only 0.00% unknown deleting segment 2 with 16 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 3 with 4 points - only 0.00% unknown mean border=84.7, 40 (1) missing vertices, mean dist -0.1 [0.2 (%59.1)->0.2 (%40.9))] %86 local maxima, % 9 large gradients and % 0 min vals, 0 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=0, nbrs=2, l_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing white matter surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... writing smoothed curvature to rh.curv 000: dt: 0.0000, sse=754836.8, rms=1.872 rms = 2.08, time step reduction 1 of 3 to 0.250... 029: dt: 0.2500, sse=702864.2, rms=1.223 (34.642%) 030: dt: 0.2500, sse=684732.4, rms=0.849 (30.637%) rms = 0.86, time step reduction 2 of 3 to 0.125... rms = 0.84, time step reduction 3 of 3 to 0.062... 031: dt: 0.1250, sse=683115.1, rms=0.843 (0.687%) positioning took 0.5 minutes generating cortex label... 10 non-cortical segments detected only using segment with 8005 vertices erasing segment 0 (vno[0] = 37423) erasing segment 2 (vno[0] = 94442) erasing segment 3 (vno[0] = 97409) erasing segment 4 (vno[0] = 97484) erasing segment 5 (vno[0] = 97535) erasing segment 6 (vno[0] = 98239) erasing segment 7 (vno[0] = 102005) erasing segment 8 (vno[0] = 103959) erasing segment 9 (vno[0] = 106614) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.curv writing smoothed area to rh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.area vertex spacing 0.89 +- 0.26 (0.03-->5.74) (max @ vno 53888 --> 53889) face area 0.34 +- 0.16 (0.00-->3.47) repositioning cortical surface to gray/csf boundary. smoothing T1 volume with sigma = 2.000 averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 1 vertex label from ripped group deleting segment 0 with 1 points - only 0.00% unknown smoothing surface for 5 iterations... reading initial pial vertex positions from white.preaparc... mean border=50.9, 89 (89) missing vertices, mean dist 2.0 [0.1 (%0.0)->2.5 (%100.0))] %15 local maxima, %61 large gradients and %19 min vals, 133 gradients ignored perforing initial smooth deformation to move away from white surface tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=31409512.0, rms=34.360 001: dt: 0.0500, sse=27783784.0, rms=32.272 (6.079%) 002: dt: 0.0500, sse=25195700.0, rms=30.694 (4.890%) 003: dt: 0.0500, sse=23216384.0, rms=29.430 (4.118%) 004: dt: 0.0500, sse=21618764.0, rms=28.368 (3.606%) 005: dt: 0.0500, sse=20275140.0, rms=27.444 (3.259%) 006: dt: 0.0500, sse=19113914.0, rms=26.619 (3.006%) 007: dt: 0.0500, sse=18087074.0, rms=25.868 (2.823%) 008: dt: 0.0500, sse=17163992.0, rms=25.173 (2.685%) 009: dt: 0.0500, sse=16324627.0, rms=24.524 (2.577%) 010: dt: 0.0500, sse=15554163.0, rms=23.913 (2.491%) positioning took 1.1 minutes mean border=50.7, 66 (40) missing vertices, mean dist 1.6 [0.2 (%0.0)->1.9 (%100.0))] %16 local maxima, %61 large gradients and %18 min vals, 121 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=16230117.0, rms=24.450 011: dt: 0.0500, sse=15513428.0, rms=23.880 (2.329%) 012: dt: 0.0500, sse=14847134.0, rms=23.338 (2.269%) 013: dt: 0.0500, sse=14224294.0, rms=22.820 (2.221%) 014: dt: 0.0500, sse=13641064.0, rms=22.324 (2.175%) 015: dt: 0.0500, sse=13094878.0, rms=21.849 (2.128%) 016: dt: 0.0500, sse=12582673.0, rms=21.393 (2.083%) 017: dt: 0.0500, sse=12100930.0, rms=20.956 (2.043%) 018: dt: 0.0500, sse=11647384.0, rms=20.536 (2.005%) 019: dt: 0.0500, sse=11219610.0, rms=20.132 (1.969%) 020: dt: 0.0500, sse=10815666.0, rms=19.742 (1.935%) positioning took 1.1 minutes mean border=50.6, 69 (31) missing vertices, mean dist 1.3 [0.1 (%0.6)->1.6 (%99.4))] %16 local maxima, %61 large gradients and %17 min vals, 127 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=1.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.05 000: dt: 0.0000, sse=10889522.0, rms=19.820 021: dt: 0.0500, sse=10498730.0, rms=19.437 (1.931%) 022: dt: 0.0500, sse=10129825.0, rms=19.068 (1.896%) 023: dt: 0.0500, sse=9778918.0, rms=18.711 (1.874%) 024: dt: 0.0500, sse=9447425.0, rms=18.367 (1.838%) 025: dt: 0.0500, sse=9134177.0, rms=18.036 (1.803%) 026: dt: 0.0500, sse=8837486.0, rms=17.717 (1.771%) 027: dt: 0.0500, sse=8553872.0, rms=17.406 (1.755%) 028: dt: 0.0500, sse=8280094.5, rms=17.100 (1.756%) 029: dt: 0.0500, sse=8016472.0, rms=16.801 (1.752%) 030: dt: 0.0500, sse=7762645.0, rms=16.507 (1.748%) positioning took 1.0 minutes mean border=50.4, 96 (28) missing vertices, mean dist 1.0 [0.1 (%8.3)->1.4 (%91.7))] %16 local maxima, %62 large gradients and %17 min vals, 106 gradients ignored tol=1.0e-04, sigma=2.0, host=compu, nav=16, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 1.000 averaging target values for 5 iterations... 000: dt: 0.0000, sse=7862361.5, rms=16.623 031: dt: 0.5000, sse=6079817.5, rms=14.413 (13.295%) 032: dt: 0.5000, sse=4766522.0, rms=12.531 (13.056%) 033: dt: 0.5000, sse=3728536.2, rms=10.821 (13.648%) 034: dt: 0.5000, sse=2931028.2, rms=9.285 (14.196%) 035: dt: 0.5000, sse=2363429.0, rms=8.019 (13.627%) 036: dt: 0.5000, sse=1985943.5, rms=7.045 (12.144%) 037: dt: 0.5000, sse=1748644.4, rms=6.364 (9.667%) 038: dt: 0.5000, sse=1604549.6, rms=5.904 (7.231%) 039: dt: 0.5000, sse=1519892.9, rms=5.623 (4.764%) 040: dt: 0.5000, sse=1464830.2, rms=5.424 (3.541%) 041: dt: 0.5000, sse=1434808.1, rms=5.318 (1.957%) 042: dt: 0.5000, sse=1407861.1, rms=5.214 (1.952%) rms = 5.18, time step reduction 1 of 3 to 0.250... 043: dt: 0.5000, sse=1398211.8, rms=5.180 (0.644%) 044: dt: 0.2500, sse=1211075.1, rms=4.369 (15.668%) 045: dt: 0.2500, sse=1160215.6, rms=4.135 (5.338%) rms = 4.11, time step reduction 2 of 3 to 0.125... 046: dt: 0.2500, sse=1156308.2, rms=4.112 (0.571%) 047: dt: 0.1250, sse=1125790.5, rms=3.960 (3.697%) rms = 3.93, time step reduction 3 of 3 to 0.062... 048: dt: 0.1250, sse=1120636.0, rms=3.934 (0.652%) positioning took 2.2 minutes mean border=48.6, 1186 (9) missing vertices, mean dist 0.2 [0.1 (%43.4)->0.4 (%56.6))] %35 local maxima, %44 large gradients and %14 min vals, 67 gradients ignored tol=1.0e-04, sigma=1.0, host=compu, nav=8, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.500 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1499416.4, rms=4.802 049: dt: 0.5000, sse=1391053.4, rms=4.340 (9.622%) rms = 4.48, time step reduction 1 of 3 to 0.250... 050: dt: 0.2500, sse=1223117.9, rms=3.488 (19.643%) 051: dt: 0.2500, sse=1169913.6, rms=3.178 (8.868%) 052: dt: 0.2500, sse=1153246.2, rms=3.074 (3.282%) rms = 3.03, time step reduction 2 of 3 to 0.125... 053: dt: 0.2500, sse=1146187.2, rms=3.033 (1.349%) 054: dt: 0.1250, sse=1116432.2, rms=2.826 (6.813%) rms = 2.79, time step reduction 3 of 3 to 0.062... 055: dt: 0.1250, sse=1110873.9, rms=2.789 (1.307%) positioning took 1.0 minutes mean border=46.9, 1485 (9) missing vertices, mean dist 0.1 [0.1 (%43.2)->0.3 (%56.8))] %52 local maxima, %29 large gradients and %13 min vals, 75 gradients ignored tol=1.0e-04, sigma=0.5, host=compu, nav=4, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 smoothing T1 volume with sigma = 0.250 averaging target values for 5 iterations... 000: dt: 0.0000, sse=1257828.6, rms=3.641 rms = 4.19, time step reduction 1 of 3 to 0.250... 056: dt: 0.2500, sse=1162661.6, rms=3.086 (15.257%) 057: dt: 0.2500, sse=1134463.6, rms=2.898 (6.088%) rms = 2.86, time step reduction 2 of 3 to 0.125... 058: dt: 0.2500, sse=1126859.0, rms=2.859 (1.347%) 059: dt: 0.1250, sse=1108809.9, rms=2.727 (4.611%) rms = 2.70, time step reduction 3 of 3 to 0.062... 060: dt: 0.1250, sse=1105117.0, rms=2.704 (0.859%) positioning took 0.8 minutes mean border=46.0, 2243 (9) missing vertices, mean dist 0.1 [0.2 (%46.1)->0.3 (%53.9))] %58 local maxima, %23 large gradients and %13 min vals, 66 gradients ignored tol=1.0e-04, sigma=0.2, host=compu, nav=2, nbrs=2, l_surf_repulse=5.000, l_tspring=1.000, l_nspring=0.500, l_intensity=0.200, l_curv=1.000 mom=0.00, dt=0.50 writing pial surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... writing smoothed curvature to rh.curv.pial 000: dt: 0.0000, sse=1142227.0, rms=2.952 rms = 3.73, time step reduction 1 of 3 to 0.250... 061: dt: 0.2500, sse=1107436.4, rms=2.705 (8.368%) 062: dt: 0.2500, sse=1098138.6, rms=2.646 (2.194%) rms = 2.65, time step reduction 2 of 3 to 0.125... rms = 2.61, time step reduction 3 of 3 to 0.062... 063: dt: 0.1250, sse=1093689.0, rms=2.611 (1.327%) positioning took 0.6 minutes writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.curv.pial writing smoothed area to rh.area.pial writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.area.pial vertex spacing 1.01 +- 0.42 (0.08-->7.26) (max @ vno 88416 --> 88438) face area 0.41 +- 0.31 (0.00-->6.11) measuring cortical thickness... writing cortical thickness estimate to 'thickness' file. 0 of 137225 vertices processed 25000 of 137225 vertices processed 50000 of 137225 vertices processed 75000 of 137225 vertices processed 100000 of 137225 vertices processed 125000 of 137225 vertices processed 0 of 137225 vertices processed 25000 of 137225 vertices processed 50000 of 137225 vertices processed 75000 of 137225 vertices processed 100000 of 137225 vertices processed 125000 of 137225 vertices processed thickness calculation complete, 121:807 truncations. 39130 vertices at 0 distance 110651 vertices at 1 distance 77421 vertices at 2 distance 24860 vertices at 3 distance 6211 vertices at 4 distance 1565 vertices at 5 distance 459 vertices at 6 distance 169 vertices at 7 distance 82 vertices at 8 distance 36 vertices at 9 distance 32 vertices at 10 distance 12 vertices at 11 distance 10 vertices at 12 distance 9 vertices at 13 distance 6 vertices at 14 distance 9 vertices at 15 distance 5 vertices at 16 distance 2 vertices at 17 distance 0 vertices at 18 distance 1 vertices at 19 distance 0 vertices at 20 distance writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.thickness positioning took 15.9 minutes @#@FSTIME 2017:01:19:19:47:18 mris_make_surfaces N 11 e 954.44 S 4.49 U 948.63 P 99% M 518384 F 0 R 1672108 W 0 c 3573 w 727 I 0 O 35672 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:20:03:13 mris_make_surfaces N 11 5.00 5.00 5.00 #-------------------------------------------- #@# Surf Volume lh Thu Jan 19 20:03:13 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf mris_calc -o lh.area.mid lh.area add lh.area.pial Saving result to 'lh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_calc -o lh.area.mid lh.area.mid div 2 Saving result to 'lh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_convert --volume 111 lh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.volume masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label Total face volume 237441 Total vertex volume 234100 (mask=0) #@# 111 lh 234100 vertexvol Done @#@FSTIME 2017:01:19:20:03:13 vertexvol N 4 e 4.78 S 0.20 U 3.94 P 86% M 354380 F 0 R 50843 W 0 c 71 w 281 I 0 O 3216 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:20:03:18 vertexvol N 4 5.00 5.00 5.00 #-------------------------------------------- #@# Surf Volume rh Thu Jan 19 20:03:18 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf mris_calc -o rh.area.mid rh.area add rh.area.pial Saving result to 'rh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_calc -o rh.area.mid rh.area.mid div 2 Saving result to 'rh.area.mid' (type = MRI_CURV_FILE) [ ok ] mris_convert --volume 111 rh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.volume masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label Total face volume 238961 Total vertex volume 235286 (mask=0) #@# 111 rh 235286 vertexvol Done @#@FSTIME 2017:01:19:20:03:18 vertexvol N 4 e 4.66 S 0.20 U 3.85 P 86% M 354616 F 0 R 50916 W 0 c 68 w 276 I 0 O 3240 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:20:03:22 vertexvol N 4 5.00 5.00 5.00 #-------------------------------------------- #@# Cortical ribbon mask Thu Jan 19 20:03:23 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mris_volmask --aseg_name aseg.presurf --label_left_white 2 --label_left_ribbon 3 --label_right_white 41 --label_right_ribbon 42 --save_ribbon 111 SUBJECTS_DIR is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 loading input data... computing distance to left white surface computing distance to left pial surface computing distance to right white surface computing distance to right pial surface hemi masks overlap voxels = 312 writing volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/ribbon.mgz mris_volmask took 16.59 minutes writing ribbon files @#@FSTIME 2017:01:19:20:03:23 mris_volmask N 12 e 995.22 S 0.84 U 993.84 P 99% M 1016452 F 0 R 270225 W 0 c 1565 w 96 I 0 O 880 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:20:19:58 mris_volmask N 12 5.00 5.00 5.00 #----------------------------------------- #@# Parcellation Stats lh Thu Jan 19 20:19:58 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.stats -b -a ../label/lh.aparc.annot -c ../label/aparc.annot.ctab 111 lh white computing statistics for each annotation in ../label/lh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 237441 Total vertex volume 234100 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1336 938 2087 2.271 0.374 0.091 0.017 8 0.9 bankssts 1579 1055 2732 2.292 0.721 0.138 0.030 33 1.8 caudalanteriorcingulate 3115 2063 6044 2.587 0.631 0.115 0.029 29 3.6 caudalmiddlefrontal 1896 1226 2896 2.063 0.423 0.137 0.036 27 2.5 cuneus 753 547 2124 2.831 1.028 0.117 0.020 6 0.7 entorhinal 4524 3169 9302 2.551 0.553 0.133 0.027 64 5.0 fusiform 5988 3977 10812 2.435 0.526 0.114 0.022 58 5.2 inferiorparietal 5205 3611 11592 2.650 0.611 0.132 0.031 79 6.6 inferiortemporal 1639 1062 2456 2.126 0.708 0.116 0.030 19 1.7 isthmuscingulate 7692 5066 13509 2.301 0.572 0.143 0.036 107 11.0 lateraloccipital 3702 2537 7112 2.478 0.591 0.132 0.032 51 4.6 lateralorbitofrontal 4397 2919 6388 1.964 0.508 0.139 0.038 67 6.5 lingual 3208 2184 5619 2.283 0.760 0.128 0.038 51 4.3 medialorbitofrontal 4533 3149 9767 2.549 0.577 0.128 0.030 70 5.2 middletemporal 880 634 2113 2.741 0.761 0.128 0.029 10 0.9 parahippocampal 2189 1400 3651 2.453 0.443 0.120 0.027 21 2.4 paracentral 2595 1725 4830 2.449 0.448 0.116 0.024 27 2.5 parsopercularis 1211 789 2522 2.473 0.571 0.142 0.032 21 1.4 parsorbitalis 2075 1421 3403 2.201 0.474 0.132 0.030 28 2.5 parstriangularis 1682 1068 1698 1.739 0.400 0.126 0.034 18 2.4 pericalcarine 6187 3871 8978 2.057 0.616 0.104 0.022 52 5.5 postcentral 1836 1212 2973 2.203 0.690 0.130 0.020 27 1.6 posteriorcingulate 7375 4544 12862 2.598 0.545 0.105 0.023 59 6.8 precentral 5472 3661 9342 2.332 0.506 0.124 0.026 58 5.7 precuneus 1567 1066 3726 2.941 0.804 0.140 0.038 33 2.4 rostralanteriorcingulate 10109 6890 17108 2.192 0.495 0.133 0.032 140 12.8 rostralmiddlefrontal 11189 7429 21898 2.572 0.583 0.128 0.032 134 14.3 superiorfrontal 7462 4901 12503 2.301 0.496 0.122 0.026 79 7.5 superiorparietal 5723 3921 11781 2.637 0.620 0.117 0.025 60 5.9 superiortemporal 5407 3679 9622 2.345 0.510 0.124 0.029 67 6.1 supramarginal 456 303 1181 2.709 0.511 0.166 0.044 9 0.9 frontalpole 716 538 3105 3.684 0.709 0.166 0.049 14 1.5 temporalpole 863 476 1239 2.275 0.477 0.095 0.020 7 0.5 transversetemporal 3951 2677 7035 2.622 0.855 0.128 0.043 70 7.0 insula @#@FSTIME 2017:01:19:20:19:58 mris_anatomical_stats N 14 e 52.75 S 0.44 U 51.30 P 98% M 546204 F 0 R 75138 W 0 c 95 w 321 I 0 O 296 L 5.00 5.00 5.00 @#@FSLOADPOST 2017:01:19:20:20:51 mris_anatomical_stats N 14 5.04 5.01 5.00 mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.pial.stats -b -a ../label/lh.aparc.annot -c ../label/aparc.annot.ctab 111 lh pial computing statistics for each annotation in ../label/lh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 237441 Total vertex volume 234100 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1336 883 2087 2.271 0.374 0.095 0.021 10 1.1 bankssts 1579 1369 2732 2.292 0.721 0.164 0.045 30 3.2 caudalanteriorcingulate 3115 2413 6044 2.587 0.631 0.127 0.026 40 3.5 caudalmiddlefrontal 1896 1578 2896 2.063 0.423 0.152 0.035 30 3.0 cuneus 753 891 2124 2.831 1.028 0.166 0.037 10 1.2 entorhinal 4524 4034 9302 2.551 0.553 0.154 0.034 71 7.0 fusiform 5988 4810 10812 2.435 0.526 0.125 0.024 58 6.3 inferiorparietal 5205 4859 11592 2.650 0.611 0.157 0.035 65 8.3 inferiortemporal 1639 1219 2456 2.126 0.708 0.135 0.035 37 2.4 isthmuscingulate 7692 6554 13509 2.301 0.572 0.149 0.035 99 12.1 lateraloccipital 3702 3207 7112 2.478 0.591 0.171 0.044 60 7.5 lateralorbitofrontal 4397 3642 6388 1.964 0.508 0.148 0.039 60 7.3 lingual 3208 2726 5619 2.283 0.760 0.150 0.036 50 4.7 medialorbitofrontal 4533 4288 9767 2.549 0.577 0.155 0.032 61 6.5 middletemporal 880 932 2113 2.741 0.761 0.203 0.051 14 2.2 parahippocampal 2189 1578 3651 2.453 0.443 0.118 0.026 30 2.3 paracentral 2595 2157 4830 2.449 0.448 0.133 0.027 22 3.1 parsopercularis 1211 1242 2522 2.473 0.571 0.171 0.037 14 2.0 parsorbitalis 2075 1652 3403 2.201 0.474 0.156 0.030 28 2.8 parstriangularis 1682 925 1698 1.739 0.400 0.102 0.028 20 1.8 pericalcarine 6187 4882 8978 2.057 0.616 0.117 0.021 44 5.9 postcentral 1836 1439 2973 2.203 0.690 0.156 0.040 40 3.1 posteriorcingulate 7375 5310 12862 2.598 0.545 0.103 0.021 74 6.6 precentral 5472 4206 9342 2.332 0.506 0.136 0.032 70 7.7 precuneus 1567 1524 3726 2.941 0.804 0.200 0.052 37 3.4 rostralanteriorcingulate 10109 8542 17108 2.192 0.495 0.157 0.035 148 16.1 rostralmiddlefrontal 11189 9405 21898 2.572 0.583 0.147 0.035 157 17.5 superiorfrontal 7462 5799 12503 2.301 0.496 0.128 0.027 86 8.3 superiorparietal 5723 4841 11781 2.637 0.620 0.137 0.029 67 7.4 superiortemporal 5407 4330 9622 2.345 0.510 0.144 0.035 147 8.3 supramarginal 456 550 1181 2.709 0.511 0.224 0.046 7 1.1 frontalpole 716 1151 3105 3.684 0.709 0.262 0.060 16 2.0 temporalpole 863 641 1239 2.275 0.477 0.104 0.021 5 0.7 transversetemporal 3951 2554 7035 2.622 0.855 0.140 0.041 74 7.1 insula @#@FSTIME 2017:01:19:20:20:51 mris_anatomical_stats N 14 e 51.96 S 0.37 U 50.57 P 98% M 546208 F 0 R 74678 W 0 c 94 w 322 I 0 O 296 L 5.04 5.01 5.00 @#@FSLOADPOST 2017:01:19:20:21:43 mris_anatomical_stats N 14 5.06 5.02 5.00 #----------------------------------------- #@# Parcellation Stats rh Thu Jan 19 20:21:43 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.stats -b -a ../label/rh.aparc.annot -c ../label/aparc.annot.ctab 111 rh white computing statistics for each annotation in ../label/rh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 238961 Total vertex volume 235286 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1301 910 2051 2.352 0.388 0.112 0.018 10 1.0 bankssts 1008 653 1602 2.150 0.746 0.136 0.025 22 0.8 caudalanteriorcingulate 3329 2253 6414 2.579 0.475 0.125 0.028 37 3.7 caudalmiddlefrontal 2255 1454 3029 1.931 0.455 0.143 0.032 33 3.0 cuneus 615 445 1878 2.854 0.965 0.123 0.022 5 0.5 entorhinal 4206 2931 9015 2.508 0.682 0.128 0.028 58 4.5 fusiform 7463 5075 13379 2.358 0.495 0.124 0.027 94 8.0 inferiorparietal 4839 3347 10609 2.563 0.635 0.134 0.032 72 6.2 inferiortemporal 1561 1023 2370 2.011 0.746 0.136 0.037 32 1.9 isthmuscingulate 7881 5228 13836 2.289 0.628 0.134 0.031 100 9.5 lateraloccipital 4183 2864 8124 2.593 0.660 0.131 0.031 50 4.9 lateralorbitofrontal 4765 3225 7405 2.039 0.564 0.134 0.031 61 6.0 lingual 3155 2209 5843 2.392 0.614 0.143 0.034 56 4.2 medialorbitofrontal 5043 3557 11359 2.623 0.599 0.129 0.031 73 6.1 middletemporal 775 548 1867 2.677 0.903 0.120 0.025 9 0.8 parahippocampal 2491 1569 4085 2.415 0.499 0.112 0.027 20 2.7 paracentral 2191 1490 3806 2.357 0.419 0.119 0.027 22 2.5 parsopercularis 1474 944 2726 2.254 0.567 0.152 0.039 28 2.1 parsorbitalis 2416 1609 4158 2.294 0.508 0.123 0.031 29 2.9 parstriangularis 2005 1313 2163 1.750 0.440 0.125 0.031 23 2.5 pericalcarine 5951 3697 8457 2.060 0.615 0.098 0.022 49 4.8 postcentral 1818 1258 3299 2.249 0.732 0.145 0.031 29 2.2 posteriorcingulate 8367 5333 15772 2.661 0.651 0.109 0.025 64 9.4 precentral 5668 3861 9131 2.210 0.507 0.129 0.027 65 6.1 precuneus 938 608 1871 2.805 0.610 0.141 0.030 22 1.1 rostralanteriorcingulate 9380 6428 15319 2.154 0.482 0.146 0.037 151 14.4 rostralmiddlefrontal 10811 7254 21279 2.530 0.550 0.127 0.029 133 12.4 superiorfrontal 7274 4727 12005 2.276 0.509 0.118 0.024 75 6.6 superiorparietal 5670 3765 11938 2.673 0.635 0.104 0.021 49 4.7 superiortemporal 4390 2897 8553 2.566 0.529 0.116 0.024 43 4.3 supramarginal 600 406 1442 2.854 0.624 0.198 0.068 17 1.8 frontalpole 651 503 2874 3.704 0.756 0.168 0.047 14 1.4 temporalpole 533 317 758 2.140 0.412 0.132 0.026 7 0.5 transversetemporal 3641 2378 6818 2.761 0.821 0.121 0.036 46 5.5 insula @#@FSTIME 2017:01:19:20:21:43 mris_anatomical_stats N 14 e 52.34 S 0.31 U 51.00 P 98% M 546560 F 0 R 74261 W 0 c 98 w 320 I 0 O 296 L 5.06 5.02 5.00 @#@FSLOADPOST 2017:01:19:20:22:35 mris_anatomical_stats N 14 5.02 5.02 5.00 mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.pial.stats -b -a ../label/rh.aparc.annot -c ../label/aparc.annot.ctab 111 rh pial computing statistics for each annotation in ../label/rh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 238961 Total vertex volume 235286 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1301 830 2051 2.352 0.388 0.110 0.024 17 1.2 bankssts 1008 817 1602 2.150 0.746 0.164 0.038 32 1.7 caudalanteriorcingulate 3329 2644 6414 2.579 0.475 0.131 0.026 37 3.9 caudalmiddlefrontal 2255 1758 3029 1.931 0.455 0.139 0.033 38 3.5 cuneus 615 729 1878 2.854 0.965 0.189 0.037 10 1.1 entorhinal 4206 4007 9015 2.508 0.682 0.170 0.040 62 8.5 fusiform 7463 6139 13379 2.358 0.495 0.138 0.030 92 9.8 inferiorparietal 4839 4736 10609 2.563 0.635 0.169 0.037 68 8.3 inferiortemporal 1561 1249 2370 2.011 0.746 0.162 0.044 50 2.9 isthmuscingulate 7881 6634 13836 2.289 0.628 0.142 0.033 112 11.2 lateraloccipital 4183 3416 8124 2.593 0.660 0.165 0.042 64 8.3 lateralorbitofrontal 4765 4040 7405 2.039 0.564 0.150 0.035 64 7.8 lingual 3155 2753 5843 2.392 0.614 0.161 0.038 46 5.5 medialorbitofrontal 5043 4857 11359 2.623 0.599 0.158 0.033 61 7.3 middletemporal 775 761 1867 2.677 0.903 0.164 0.040 12 1.4 parahippocampal 2491 1881 4085 2.415 0.499 0.123 0.028 27 3.1 paracentral 2191 1692 3806 2.357 0.419 0.125 0.029 26 2.7 parsopercularis 1474 1436 2726 2.254 0.567 0.184 0.037 21 2.6 parsorbitalis 2416 1942 4158 2.294 0.508 0.136 0.028 24 3.0 parstriangularis 2005 1223 2163 1.750 0.440 0.112 0.027 23 2.2 pericalcarine 5951 4488 8457 2.060 0.615 0.110 0.032 56 10.7 postcentral 1818 1558 3299 2.249 0.732 0.160 0.039 30 3.1 posteriorcingulate 8367 6290 15772 2.661 0.651 0.108 0.021 75 7.9 precentral 5668 4273 9131 2.210 0.507 0.135 0.031 80 7.5 precuneus 938 811 1871 2.805 0.610 0.148 0.031 10 1.4 rostralanteriorcingulate 9380 7798 15319 2.154 0.482 0.158 0.035 128 15.7 rostralmiddlefrontal 10811 9237 21279 2.530 0.550 0.146 0.032 135 14.8 superiorfrontal 7274 5707 12005 2.276 0.509 0.126 0.025 88 7.7 superiorparietal 5670 4947 11938 2.673 0.635 0.132 0.025 61 6.2 superiortemporal 4390 3557 8553 2.566 0.529 0.123 0.025 36 4.6 supramarginal 600 608 1442 2.854 0.624 0.190 0.045 7 1.3 frontalpole 651 992 2874 3.704 0.756 0.240 0.044 9 1.5 temporalpole 533 373 758 2.140 0.412 0.124 0.025 6 0.5 transversetemporal 3641 2380 6818 2.761 0.821 0.142 0.057 103 11.5 insula @#@FSTIME 2017:01:19:20:22:35 mris_anatomical_stats N 14 e 51.00 S 0.43 U 49.60 P 98% M 546560 F 0 R 74723 W 0 c 126 w 317 I 0 O 296 L 5.02 5.02 5.00 @#@FSLOADPOST 2017:01:19:20:23:26 mris_anatomical_stats N 14 5.01 5.01 5.00 #----------------------------------------- #@# Cortical Parc 2 lh Thu Jan 19 20:23:26 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 111 lh ../surf/lh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/lh.aparc.a2009s.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 2.9 using min determinant for regularization = 0.086 0 singular and 762 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 25 labels changed using aseg relabeling using gibbs priors... 000: 8769 changed, 136995 examined... 001: 1954 changed, 34130 examined... 002: 544 changed, 10415 examined... 003: 229 changed, 3105 examined... 004: 106 changed, 1294 examined... 005: 51 changed, 646 examined... 006: 39 changed, 303 examined... 007: 23 changed, 213 examined... 008: 7 changed, 118 examined... 009: 2 changed, 42 examined... 010: 0 changed, 14 examined... 0 labels changed using aseg 000: 231 total segments, 146 labels (2134 vertices) changed 001: 100 total segments, 15 labels (82 vertices) changed 002: 85 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 36 changed) rationalizing unknown annotations with cortex label relabeling Medial_wall label... 1658 vertices marked for relabeling... 1658 labels changed in reclassification. writing output to ../label/lh.aparc.a2009s.annot... classification took 0 minutes and 23 seconds. @#@FSTIME 2017:01:19:20:23:26 mris_ca_label N 11 e 22.57 S 0.34 U 21.94 P 98% M 577328 F 0 R 90125 W 0 c 77 w 85 I 0 O 2152 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:20:23:49 mris_ca_label N 11 5.00 5.01 5.00 #----------------------------------------- #@# Cortical Parc 2 rh Thu Jan 19 20:23:49 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 111 rh ../surf/rh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/rh.aparc.a2009s.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.CDaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 1.4 using min determinant for regularization = 0.020 0 singular and 719 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 7 labels changed using aseg relabeling using gibbs priors... 000: 8887 changed, 137225 examined... 001: 2030 changed, 34974 examined... 002: 597 changed, 10921 examined... 003: 240 changed, 3370 examined... 004: 131 changed, 1362 examined... 005: 49 changed, 692 examined... 006: 22 changed, 289 examined... 007: 16 changed, 141 examined... 008: 10 changed, 95 examined... 009: 2 changed, 55 examined... 010: 2 changed, 12 examined... 011: 2 changed, 10 examined... 012: 1 changed, 10 examined... 013: 0 changed, 9 examined... 14 labels changed using aseg 000: 253 total segments, 170 labels (2437 vertices) changed 001: 93 total segments, 10 labels (42 vertices) changed 002: 84 total segments, 1 labels (1 vertices) changed 003: 83 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 29 changed) rationalizing unknown annotations with cortex label relabeling Medial_wall label... 1302 vertices marked for relabeling... 1302 labels changed in reclassification. writing output to ../label/rh.aparc.a2009s.annot... classification took 0 minutes and 22 seconds. @#@FSTIME 2017:01:19:20:23:49 mris_ca_label N 11 e 22.17 S 0.42 U 21.50 P 98% M 593640 F 0 R 93370 W 0 c 73 w 88 I 0 O 2152 L 5.00 5.01 5.00 @#@FSLOADPOST 2017:01:19:20:24:11 mris_ca_label N 11 5.03 5.01 5.00 #----------------------------------------- #@# Parcellation Stats 2 lh Thu Jan 19 20:24:11 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.a2009s.stats -b -a ../label/lh.aparc.a2009s.annot -c ../label/aparc.annot.a2009s.ctab 111 lh white computing statistics for each annotation in ../label/lh.aparc.a2009s.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 237441 Total vertex volume 234100 (mask=0) reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Saving annotation colortable ../label/aparc.annot.a2009s.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1246 870 2275 2.335 0.558 0.142 0.032 17 1.8 G&S_frontomargin 1843 1218 3802 2.530 0.643 0.141 0.033 26 2.3 G&S_occipital_inf 1660 965 2775 2.407 0.433 0.109 0.026 16 1.8 G&S_paracentral 1559 1038 2848 2.441 0.414 0.119 0.025 17 1.4 G&S_subcentral 1158 784 2407 2.337 0.586 0.174 0.056 29 2.7 G&S_transv_frontopol 2520 1783 5158 2.576 0.724 0.141 0.040 42 4.4 G&S_cingul-Ant 1649 1144 2912 2.446 0.604 0.134 0.028 27 1.8 G&S_cingul-Mid-Ant 1461 998 2859 2.604 0.572 0.129 0.026 17 1.6 G&S_cingul-Mid-Post 617 407 1436 2.626 0.416 0.142 0.033 10 0.8 G_cingul-Post-dorsal 327 203 526 2.320 0.609 0.128 0.036 5 0.4 G_cingul-Post-ventral 1748 1116 2952 2.114 0.456 0.142 0.039 29 2.7 G_cuneus 1558 1010 3494 2.649 0.427 0.130 0.031 22 1.9 G_front_inf-Opercular 486 289 1113 2.648 0.436 0.149 0.035 11 0.7 G_front_inf-Orbital 1257 814 2471 2.428 0.445 0.152 0.040 24 1.9 G_front_inf-Triangul 5050 3284 10832 2.499 0.594 0.137 0.034 83 6.8 G_front_middle 6997 4520 15829 2.747 0.559 0.131 0.032 97 8.5 G_front_sup 668 460 1418 2.732 0.659 0.131 0.046 11 1.2 G_Ins_lg&S_cent_ins 783 506 2237 3.303 0.748 0.135 0.039 12 1.2 G_insular_short 2385 1509 5173 2.565 0.540 0.134 0.036 38 3.0 G_occipital_middle 1311 889 2223 2.162 0.396 0.134 0.030 16 1.4 G_occipital_sup 1651 1127 3581 2.615 0.520 0.143 0.035 32 2.3 G_oc-temp_lat-fusifor 3448 2187 5384 2.033 0.549 0.150 0.045 61 6.0 G_oc-temp_med-Lingual 1587 1104 4227 2.883 0.854 0.140 0.032 22 2.1 G_oc-temp_med-Parahip 2447 1662 5874 2.652 0.565 0.145 0.038 44 3.6 G_orbital 2146 1346 4627 2.597 0.598 0.130 0.031 32 2.8 G_pariet_inf-Angular 3003 1994 6229 2.470 0.513 0.138 0.034 50 3.9 G_pariet_inf-Supramar 3085 1938 6258 2.550 0.489 0.128 0.031 42 3.4 G_parietal_sup 2413 1346 3958 2.254 0.648 0.108 0.028 26 2.5 G_postcentral 2766 1456 5747 2.937 0.467 0.099 0.025 24 2.8 G_precentral 2805 1835 5967 2.508 0.548 0.133 0.031 41 3.3 G_precuneus 1096 732 2458 2.387 0.623 0.153 0.049 25 2.2 G_rectus 1228 793 2140 2.551 1.214 0.132 0.062 26 2.8 G_subcallosal 761 413 1301 2.499 0.434 0.105 0.024 7 0.6 G_temp_sup-G_T_transv 2062 1358 5730 2.992 0.501 0.145 0.044 40 3.1 G_temp_sup-Lateral 748 525 2090 3.433 0.792 0.102 0.030 6 1.1 G_temp_sup-Plan_polar 888 629 1670 2.426 0.393 0.085 0.015 4 0.6 G_temp_sup-Plan_tempo 2513 1739 6892 2.878 0.612 0.149 0.039 53 3.9 G_temporal_inf 2374 1618 6134 2.709 0.545 0.140 0.032 48 3.0 G_temporal_middle 300 215 364 1.850 0.356 0.110 0.020 2 0.3 Lat_Fis-ant-Horizont 291 221 404 2.067 0.435 0.115 0.017 2 0.2 Lat_Fis-ant-Vertical 1115 753 1312 2.129 0.453 0.113 0.023 7 1.1 Lat_Fis-post 2050 1361 3379 2.152 0.617 0.161 0.046 34 3.9 Pole_occipital 1822 1323 6011 3.114 0.703 0.157 0.040 33 3.1 Pole_temporal 1970 1300 2035 1.819 0.487 0.120 0.028 19 2.3 S_calcarine 3012 2118 3480 1.859 0.585 0.103 0.019 17 2.4 S_central 1210 831 1674 2.270 0.379 0.109 0.020 8 1.0 S_cingul-Marginalis 567 374 763 2.450 0.321 0.111 0.023 3 0.6 S_circular_insula_ant 1483 1053 2134 2.499 0.819 0.101 0.021 10 1.5 S_circular_insula_inf 1682 1144 2201 2.274 0.406 0.098 0.021 22 1.2 S_circular_insula_sup 1122 800 1836 2.379 0.425 0.097 0.014 5 0.7 S_collat_transv_ant 463 325 543 1.929 0.325 0.131 0.021 4 0.4 S_collat_transv_post 2686 1838 3551 2.017 0.399 0.109 0.022 23 2.4 S_front_inf 1784 1240 2149 1.961 0.372 0.116 0.024 13 1.9 S_front_middle 3317 2289 5101 2.322 0.468 0.117 0.026 26 3.5 S_front_sup 170 138 293 2.393 0.329 0.137 0.025 1 0.2 S_interm_prim-Jensen 2668 1777 3583 2.197 0.441 0.113 0.020 22 2.3 S_intrapariet&P_trans 813 583 1045 2.051 0.392 0.129 0.025 6 0.7 S_oc_middle&Lunatus 1057 724 1383 2.106 0.364 0.103 0.018 6 0.7 S_oc_sup&transversal 1226 838 1709 2.160 0.354 0.110 0.020 8 1.0 S_occipital_ant 983 697 1380 2.228 0.372 0.102 0.017 6 0.7 S_oc-temp_lat 1890 1381 2977 2.179 0.520 0.112 0.020 15 1.4 S_oc-temp_med&Lingual 312 220 372 1.769 0.375 0.110 0.017 2 0.2 S_orbital_lateral 581 439 839 2.065 0.682 0.112 0.013 4 0.3 S_orbital_med-olfact 1495 1053 2435 2.238 0.564 0.130 0.030 18 1.7 S_orbital-H_Shaped 1803 1230 2418 2.092 0.417 0.112 0.022 12 1.7 S_parieto_occipital 1937 1150 1695 1.876 0.789 0.110 0.022 26 1.4 S_pericallosal 2913 2011 3682 2.015 0.385 0.107 0.019 19 2.4 S_postcentral 1689 1155 2540 2.369 0.412 0.102 0.023 12 1.6 S_precentral-inf-part 1320 895 1848 2.348 0.419 0.110 0.024 8 1.2 S_precentral-sup-part 1044 703 1373 1.983 0.364 0.125 0.029 16 1.1 S_suborbital 1021 722 1456 2.185 0.403 0.127 0.022 8 1.0 S_subparietal 1771 1224 2652 2.322 0.493 0.125 0.024 20 1.8 S_temporal_inf 5187 3657 7903 2.272 0.400 0.098 0.018 31 3.8 S_temporal_sup 469 326 572 2.053 0.403 0.112 0.016 3 0.4 S_temporal_transverse @#@FSTIME 2017:01:19:20:24:11 mris_anatomical_stats N 14 e 53.29 S 0.34 U 51.59 P 97% M 546204 F 0 R 74718 W 0 c 124 w 441 I 0 O 632 L 5.03 5.01 5.00 @#@FSLOADPOST 2017:01:19:20:25:05 mris_anatomical_stats N 14 5.01 5.01 5.00 #----------------------------------------- #@# Parcellation Stats 2 rh Thu Jan 19 20:25:05 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.a2009s.stats -b -a ../label/rh.aparc.a2009s.annot -c ../label/aparc.annot.a2009s.ctab 111 rh white computing statistics for each annotation in ../label/rh.aparc.a2009s.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 238961 Total vertex volume 235286 (mask=0) reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Saving annotation colortable ../label/aparc.annot.a2009s.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1086 752 1950 2.364 0.711 0.171 0.052 22 2.4 G&S_frontomargin 1344 908 3366 2.768 0.609 0.139 0.033 20 1.7 G&S_occipital_inf 1618 965 2835 2.405 0.565 0.116 0.027 16 1.7 G&S_paracentral 1330 898 2795 2.573 0.553 0.126 0.028 15 1.4 G&S_subcentral 1179 799 2336 2.345 0.505 0.176 0.053 28 2.4 G&S_transv_frontopol 3448 2375 6151 2.428 0.513 0.131 0.031 58 4.1 G&S_cingul-Ant 1373 947 2574 2.420 0.565 0.127 0.028 21 1.2 G&S_cingul-Mid-Ant 1600 1086 3034 2.512 0.609 0.132 0.032 19 2.0 G&S_cingul-Mid-Post 521 370 1434 2.742 0.385 0.173 0.047 12 0.9 G_cingul-Post-dorsal 393 266 761 2.078 0.775 0.164 0.038 9 0.5 G_cingul-Post-ventral 2079 1319 2847 1.897 0.461 0.144 0.033 33 2.7 G_cuneus 1187 774 2730 2.624 0.372 0.121 0.023 16 1.0 G_front_inf-Opercular 409 246 927 2.572 0.427 0.147 0.042 9 0.7 G_front_inf-Orbital 1158 738 2482 2.537 0.430 0.146 0.040 21 1.7 G_front_inf-Triangul 4697 3124 10182 2.499 0.535 0.153 0.038 91 7.5 G_front_middle 7056 4510 15423 2.659 0.532 0.132 0.032 102 8.8 G_front_sup 691 466 1549 3.004 0.743 0.129 0.033 13 0.9 G_Ins_lg&S_cent_ins 924 561 2259 3.207 0.885 0.132 0.044 14 1.6 G_insular_short 2155 1350 4873 2.649 0.592 0.139 0.032 36 2.5 G_occipital_middle 1686 1043 2955 2.282 0.605 0.129 0.030 23 1.9 G_occipital_sup 1763 1177 3969 2.604 0.600 0.127 0.030 27 1.8 G_oc-temp_lat-fusifor 3366 2172 5713 2.145 0.598 0.139 0.035 50 4.8 G_oc-temp_med-Lingual 1263 887 3689 2.859 0.929 0.147 0.045 26 2.5 G_oc-temp_med-Parahip 2767 1869 6597 2.664 0.675 0.151 0.040 51 4.0 G_orbital 2449 1624 5467 2.494 0.503 0.136 0.032 42 3.0 G_pariet_inf-Angular 2376 1506 5650 2.829 0.522 0.127 0.030 35 2.9 G_pariet_inf-Supramar 2308 1466 4512 2.404 0.485 0.117 0.024 27 2.2 G_parietal_sup 2136 1184 3272 2.139 0.579 0.096 0.024 18 2.0 G_postcentral 3197 1836 7437 2.997 0.701 0.111 0.034 30 4.8 G_precentral 2606 1732 5527 2.435 0.584 0.140 0.033 40 3.3 G_precuneus 1040 736 2566 2.599 0.527 0.169 0.046 24 2.0 G_rectus 588 373 1038 2.819 1.077 0.095 0.031 4 0.6 G_subcallosal 419 235 793 2.416 0.488 0.111 0.027 5 0.4 G_temp_sup-G_T_transv 2020 1325 5695 3.032 0.564 0.132 0.030 28 2.4 G_temp_sup-Lateral 777 560 2012 3.127 0.771 0.084 0.016 3 0.5 G_temp_sup-Plan_polar 784 495 1453 2.507 0.547 0.093 0.020 6 0.5 G_temp_sup-Plan_tempo 2610 1781 6818 2.741 0.606 0.150 0.041 54 4.2 G_temporal_inf 2987 2098 8079 2.820 0.558 0.146 0.040 60 4.5 G_temporal_middle 475 328 551 2.006 0.422 0.099 0.018 2 0.3 Lat_Fis-ant-Horizont 286 204 419 2.560 0.285 0.148 0.037 3 0.5 Lat_Fis-ant-Vertical 1313 866 1641 2.205 0.454 0.113 0.021 9 1.2 Lat_Fis-post 3340 2221 5267 2.060 0.606 0.145 0.037 49 4.6 Pole_occipital 1975 1436 6462 3.103 0.751 0.151 0.037 36 3.1 Pole_temporal 2196 1505 2273 1.751 0.402 0.117 0.025 21 2.3 S_calcarine 3067 2104 3481 1.898 0.666 0.100 0.017 16 2.3 S_central 1242 874 1769 2.221 0.399 0.117 0.022 9 1.2 S_cingul-Marginalis 539 378 841 2.646 0.622 0.115 0.026 3 0.6 S_circular_insula_ant 1146 754 1485 2.300 0.498 0.081 0.011 4 0.6 S_circular_insula_inf 1536 1069 2176 2.367 0.382 0.105 0.035 8 2.3 S_circular_insula_sup 1206 888 2051 2.223 0.540 0.101 0.015 6 0.8 S_collat_transv_ant 571 383 650 2.048 0.411 0.142 0.031 6 0.7 S_collat_transv_post 2514 1741 3199 2.007 0.384 0.122 0.027 23 3.0 S_front_inf 2246 1588 2824 1.936 0.366 0.129 0.031 23 2.8 S_front_middle 2441 1723 3488 2.246 0.400 0.105 0.020 13 2.0 S_front_sup 338 237 502 2.103 0.357 0.069 0.007 1 0.1 S_interm_prim-Jensen 3078 2075 3967 2.112 0.399 0.111 0.020 25 2.5 S_intrapariet&P_trans 1380 960 1672 2.077 0.363 0.130 0.027 12 1.6 S_oc_middle&Lunatus 1055 718 1357 2.117 0.363 0.115 0.020 8 0.9 S_oc_sup&transversal 750 541 1140 2.195 0.425 0.095 0.015 4 0.5 S_occipital_ant 984 691 1505 2.153 0.616 0.118 0.019 9 0.7 S_oc-temp_lat 1621 1181 2466 2.114 0.543 0.109 0.017 13 1.2 S_oc-temp_med&Lingual 465 326 557 1.883 0.298 0.101 0.015 2 0.3 S_orbital_lateral 793 580 1165 2.308 0.562 0.106 0.015 5 0.5 S_orbital_med-olfact 1636 1102 2563 2.344 0.515 0.137 0.030 18 2.0 S_orbital-H_Shaped 2177 1477 2637 1.931 0.439 0.112 0.020 16 1.8 S_parieto_occipital 1624 997 1213 1.695 0.789 0.132 0.026 36 1.3 S_pericallosal 2398 1607 3132 2.222 0.398 0.104 0.019 15 1.8 S_postcentral 1848 1264 2785 2.407 0.432 0.106 0.019 12 1.6 S_precentral-inf-part 1706 1189 2701 2.429 0.380 0.112 0.022 12 1.5 S_precentral-sup-part 406 300 528 1.996 0.577 0.146 0.023 5 0.4 S_suborbital 1098 767 1642 2.307 0.388 0.121 0.026 7 1.1 S_subparietal 1449 1017 1973 2.280 0.464 0.119 0.026 9 1.6 S_temporal_inf 6040 4198 9088 2.324 0.442 0.104 0.019 45 4.7 S_temporal_sup 339 253 369 1.783 0.382 0.130 0.018 3 0.3 S_temporal_transverse @#@FSTIME 2017:01:19:20:25:05 mris_anatomical_stats N 14 e 52.60 S 0.43 U 50.53 P 96% M 546560 F 0 R 74763 W 0 c 251 w 448 I 0 O 632 L 5.01 5.01 5.00 @#@FSLOADPOST 2017:01:19:20:25:58 mris_anatomical_stats N 14 5.37 5.11 5.04 #----------------------------------------- #@# Cortical Parc 3 lh Thu Jan 19 20:25:58 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 111 lh ../surf/lh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/lh.aparc.DKTatlas.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/lh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 1.4 using min determinant for regularization = 0.020 0 singular and 383 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1174 labels changed using aseg relabeling using gibbs priors... 000: 2004 changed, 136995 examined... 001: 471 changed, 9329 examined... 002: 151 changed, 2656 examined... 003: 76 changed, 897 examined... 004: 41 changed, 448 examined... 005: 34 changed, 233 examined... 006: 23 changed, 203 examined... 007: 18 changed, 123 examined... 008: 16 changed, 106 examined... 009: 10 changed, 76 examined... 010: 7 changed, 59 examined... 011: 3 changed, 39 examined... 012: 1 changed, 19 examined... 013: 0 changed, 7 examined... 347 labels changed using aseg 000: 47 total segments, 14 labels (78 vertices) changed 001: 33 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 4 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 1261 vertices marked for relabeling... 1261 labels changed in reclassification. writing output to ../label/lh.aparc.DKTatlas.annot... classification took 0 minutes and 19 seconds. @#@FSTIME 2017:01:19:20:25:58 mris_ca_label N 11 e 19.11 S 0.32 U 18.24 P 97% M 508520 F 0 R 77484 W 0 c 109 w 86 I 0 O 2144 L 5.37 5.11 5.04 @#@FSLOADPOST 2017:01:19:20:26:17 mris_ca_label N 11 5.27 5.10 5.03 #----------------------------------------- #@# Cortical Parc 3 rh Thu Jan 19 20:26:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 111 rh ../surf/rh.sphere.reg /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ../label/rh.aparc.DKTatlas.annot setting seed for random number generator to 1234 using ../mri/aseg.presurf.mgz aseg volume to correct midline $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ $Id: mrisurf.c,v 1.781.2.6 2016/12/27 16:47:14 zkaufman Exp $ reading atlas from /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/rh.DKTaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs... reading color table from GCSA file.... average std = 0.9 using min determinant for regularization = 0.009 0 singular and 325 ill-conditioned covariance matrices regularized input 0: MEAN CURVATURE, flags 0, avgs 5, name mean_curvature labeling surface... 1295 labels changed using aseg relabeling using gibbs priors... 000: 2037 changed, 137225 examined... 001: 469 changed, 9430 examined... 002: 134 changed, 2679 examined... 003: 73 changed, 811 examined... 004: 60 changed, 404 examined... 005: 23 changed, 279 examined... 006: 15 changed, 126 examined... 007: 11 changed, 79 examined... 008: 9 changed, 63 examined... 009: 7 changed, 45 examined... 010: 4 changed, 36 examined... 011: 2 changed, 24 examined... 012: 0 changed, 12 examined... 285 labels changed using aseg 000: 53 total segments, 20 labels (108 vertices) changed 001: 33 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 5 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 1000 vertices marked for relabeling... 1000 labels changed in reclassification. writing output to ../label/rh.aparc.DKTatlas.annot... classification took 0 minutes and 19 seconds. @#@FSTIME 2017:01:19:20:26:17 mris_ca_label N 11 e 19.20 S 0.36 U 18.55 P 98% M 511500 F 0 R 78834 W 0 c 630 w 82 I 0 O 2152 L 5.27 5.10 5.03 @#@FSLOADPOST 2017:01:19:20:26:36 mris_ca_label N 11 5.19 5.09 5.03 #----------------------------------------- #@# Parcellation Stats 3 lh Thu Jan 19 20:26:36 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.DKTatlas.stats -b -a ../label/lh.aparc.DKTatlas.annot -c ../label/aparc.annot.DKTatlas.ctab 111 lh white computing statistics for each annotation in ../label/lh.aparc.DKTatlas.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/lh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 237441 Total vertex volume 234100 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.DKTatlas.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 2166 1460 3510 2.288 0.673 0.134 0.028 38 2.2 caudalanteriorcingulate 3362 2241 6445 2.574 0.618 0.115 0.029 31 3.8 caudalmiddlefrontal 2607 1696 3948 2.061 0.436 0.131 0.034 34 3.3 cuneus 655 480 1873 2.780 1.061 0.120 0.019 5 0.5 entorhinal 4159 2911 8047 2.483 0.529 0.130 0.027 57 4.5 fusiform 5918 3926 10561 2.427 0.555 0.119 0.025 62 6.0 inferiorparietal 5122 3573 11725 2.672 0.632 0.131 0.030 72 6.5 inferiortemporal 1611 1048 2434 2.144 0.694 0.116 0.030 19 1.7 isthmuscingulate 7711 5070 13555 2.303 0.571 0.142 0.035 106 10.8 lateraloccipital 4506 3104 8684 2.432 0.701 0.138 0.040 75 7.1 lateralorbitofrontal 4487 2974 6581 1.977 0.515 0.139 0.038 67 6.6 lingual 2680 1821 5094 2.322 0.792 0.134 0.041 48 4.1 medialorbitofrontal 6134 4244 12735 2.527 0.550 0.125 0.028 93 6.8 middletemporal 918 663 2177 2.750 0.754 0.129 0.029 11 1.0 parahippocampal 2511 1616 4320 2.507 0.476 0.117 0.026 24 2.7 paracentral 2426 1609 4500 2.463 0.459 0.119 0.027 40 2.4 parsopercularis 1134 742 2247 2.464 0.568 0.133 0.027 17 1.3 parsorbitalis 2659 1799 4171 2.142 0.484 0.126 0.029 35 3.1 parstriangularis 1618 1044 1618 1.712 0.379 0.125 0.034 16 2.2 pericalcarine 7080 4465 10166 2.063 0.596 0.105 0.023 60 6.2 postcentral 2038 1337 3540 2.274 0.704 0.134 0.022 31 2.0 posteriorcingulate 7321 4491 12802 2.609 0.540 0.104 0.022 58 6.7 precentral 5297 3541 9347 2.362 0.503 0.126 0.027 61 5.6 precuneus 2052 1386 4336 2.808 0.782 0.135 0.034 37 2.8 rostralanteriorcingulate 7330 4939 12498 2.222 0.492 0.134 0.031 100 8.9 rostralmiddlefrontal 12614 8421 24428 2.493 0.590 0.130 0.033 162 16.9 superiorfrontal 6072 3981 10222 2.323 0.506 0.121 0.026 61 6.2 superiorparietal 7443 5156 16297 2.691 0.704 0.120 0.028 82 8.5 superiortemporal 5005 3410 9117 2.379 0.485 0.124 0.028 61 5.3 supramarginal 825 450 1190 2.277 0.469 0.092 0.020 6 0.5 transversetemporal 3066 2123 5929 2.724 0.792 0.119 0.031 34 4.1 insula @#@FSTIME 2017:01:19:20:26:37 mris_anatomical_stats N 14 e 41.96 S 0.36 U 40.49 P 97% M 546208 F 0 R 74679 W 0 c 733 w 313 I 0 O 272 L 5.19 5.09 5.03 @#@FSLOADPOST 2017:01:19:20:27:19 mris_anatomical_stats N 14 5.10 5.08 5.03 #----------------------------------------- #@# Parcellation Stats 3 rh Thu Jan 19 20:27:19 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts mris_anatomical_stats -th3 -mgz -cortex ../label/rh.cortex.label -f ../stats/rh.aparc.DKTatlas.stats -b -a ../label/rh.aparc.DKTatlas.annot -c ../label/aparc.annot.DKTatlas.ctab 111 rh white computing statistics for each annotation in ../label/rh.aparc.DKTatlas.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. INFO: using ../label/rh.cortex.label as mask to calc cortex NumVert, SurfArea and MeanThickness. Using TH3 vertex volume calc Total face volume 238961 Total vertex volume 235286 (mask=0) reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Saving annotation colortable ../label/aparc.annot.DKTatlas.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1180 769 1974 2.201 0.750 0.139 0.026 25 1.0 caudalanteriorcingulate 3420 2325 6408 2.553 0.483 0.125 0.027 37 3.8 caudalmiddlefrontal 2791 1774 3777 1.963 0.469 0.134 0.030 37 3.3 cuneus 522 373 1573 2.817 0.983 0.125 0.021 5 0.5 entorhinal 3819 2651 7678 2.443 0.605 0.124 0.027 52 4.0 fusiform 7339 4966 13088 2.364 0.494 0.125 0.028 94 8.0 inferiorparietal 5329 3717 12233 2.608 0.684 0.135 0.032 78 6.8 inferiortemporal 1539 1022 2335 1.988 0.739 0.136 0.037 32 1.9 isthmuscingulate 7824 5198 13628 2.266 0.629 0.135 0.031 100 9.5 lateraloccipital 4705 3197 9124 2.578 0.676 0.143 0.036 67 6.8 lateralorbitofrontal 4703 3183 7347 2.048 0.570 0.134 0.030 61 5.9 lingual 2486 1723 5029 2.522 0.680 0.144 0.037 44 3.5 medialorbitofrontal 6159 4338 13150 2.579 0.579 0.128 0.030 84 7.3 middletemporal 810 583 1959 2.692 0.872 0.120 0.024 9 0.8 parahippocampal 2591 1621 4351 2.435 0.518 0.111 0.026 21 2.8 paracentral 2415 1645 4130 2.365 0.429 0.122 0.032 24 3.2 parsopercularis 1177 773 2217 2.360 0.552 0.143 0.038 19 1.7 parsorbitalis 2500 1676 4172 2.218 0.531 0.129 0.034 31 3.6 parstriangularis 1974 1295 2154 1.758 0.448 0.120 0.030 21 2.3 pericalcarine 6417 4021 9091 2.058 0.602 0.101 0.022 54 5.5 postcentral 1968 1332 3639 2.322 0.741 0.144 0.032 31 2.5 posteriorcingulate 8083 5122 15364 2.672 0.655 0.109 0.025 63 9.1 precentral 5809 3960 9620 2.224 0.513 0.131 0.028 70 6.5 precuneus 1315 865 2468 2.697 0.690 0.136 0.030 26 1.5 rostralanteriorcingulate 6975 4717 11535 2.176 0.483 0.141 0.034 110 9.7 rostralmiddlefrontal 13773 9344 25948 2.446 0.553 0.132 0.032 188 16.9 superiorfrontal 5947 3841 9886 2.303 0.516 0.115 0.023 61 5.0 superiorparietal 7249 4888 16208 2.726 0.723 0.111 0.025 75 7.5 superiortemporal 4332 2859 8526 2.569 0.535 0.115 0.023 42 4.2 supramarginal 530 317 773 2.159 0.406 0.128 0.026 6 0.5 transversetemporal 2987 1998 5899 2.763 0.771 0.115 0.028 31 3.3 insula @#@FSTIME 2017:01:19:20:27:19 mris_anatomical_stats N 14 e 40.66 S 0.38 U 39.19 P 97% M 546564 F 0 R 74210 W 0 c 1100 w 317 I 0 O 272 L 5.10 5.08 5.03 @#@FSLOADPOST 2017:01:19:20:27:59 mris_anatomical_stats N 14 5.05 5.07 5.02 #----------------------------------------- #@# WM/GM Contrast lh Thu Jan 19 20:27:59 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts pctsurfcon --s 111 --lh-only Log file is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts/pctsurfcon.log Thu Jan 19 20:28:00 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/pctsurfcon $Id: pctsurfcon,v 1.15 2016/02/12 21:43:15 zkaufman Exp $ Linux compute-0-98 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz --hemi lh --noreshape --interp trilinear --projdist -1 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25630/lh.wm.mgh --regheader 111 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = lh ProjDist = -1 reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Done reading source surface Mapping Source Volume onto Source Subject Surface 1 -1 -1 -1 using old Done mapping volume to surface Number of source voxels hit = 75165 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25630/lh.wm.mgh Dim: 136995 1 1 mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz --hemi lh --noreshape --interp trilinear --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25630/lh.gm.mgh --projfrac 0.3 --regheader 111 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = lh ProjFrac = 0.3 thickness = thickness reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Done reading source surface Reading thickness /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.thickness Done Mapping Source Volume onto Source Subject Surface 1 0.3 0.3 0.3 using old Done mapping volume to surface Number of source voxels hit = 91652 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25630/lh.gm.mgh Dim: 136995 1 1 mri_concat /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25630/lh.wm.mgh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25630/lh.gm.mgh --paired-diff-norm --mul 100 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.w-g.pct.mgh ninputs = 2 Checking inputs nframestot = 2 Allocing output Done allocing Combining pairs nframes = 1 Multiplying by 100.000000 Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.w-g.pct.mgh mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.w-g.pct.mgh --annot 111 lh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/stats/lh.w-g.pct.stats --snr $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.w-g.pct.mgh --annot 111 lh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/stats/lh.w-g.pct.stats --snr sysname Linux hostname compute-0-98 machine x86_64 user zkaufman UseRobust 0 Constructing seg from annotation Reading annotation /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Seg base 1000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.w-g.pct.mgh Vertex Area is 0.666279 mm^3 Generating list of segmentation ids Found 36 segmentations Computing statistics for each segmentation Reporting on 35 segmentations Using PrintSegStat mri_segstats done Cleaning up @#@FSTIME 2017:01:19:20:28:00 pctsurfcon N 3 e 8.66 S 0.50 U 6.97 P 86% M 333492 F 0 R 155938 W 0 c 115 w 431 I 0 O 3408 L 5.05 5.07 5.02 @#@FSLOADPOST 2017:01:19:20:28:08 pctsurfcon N 3 5.04 5.07 5.02 #----------------------------------------- #@# WM/GM Contrast rh Thu Jan 19 20:28:08 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts pctsurfcon --s 111 --rh-only Log file is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts/pctsurfcon.log Thu Jan 19 20:28:09 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/scripts /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/pctsurfcon $Id: pctsurfcon,v 1.15 2016/02/12 21:43:15 zkaufman Exp $ Linux compute-0-98 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz --hemi rh --noreshape --interp trilinear --projdist -1 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25699/rh.wm.mgh --regheader 111 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = rh ProjDist = -1 reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Done reading source surface Mapping Source Volume onto Source Subject Surface 1 -1 -1 -1 using old Done mapping volume to surface Number of source voxels hit = 75060 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25699/rh.wm.mgh Dim: 137225 1 1 mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz --hemi rh --noreshape --interp trilinear --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25699/rh.gm.mgh --projfrac 0.3 --regheader 111 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/rawavg.mgz srcreg unspecified srcregold = 0 srcwarp unspecified surf = white hemi = rh ProjFrac = 0.3 thickness = thickness reshape = 0 interp = trilinear float2int = round GetProjMax = 0 INFO: float2int code = 0 INFO: changing type to float Done loading volume Computing registration from header. Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/orig.mgz as target reference. -------- original matrix ----------- 1.00000 0.00000 0.00000 0.00000; 0.00000 1.00000 0.00000 0.00000; 0.00000 0.00000 1.00000 0.00000; 0.00000 0.00000 0.00000 1.00000; -------- original matrix ----------- Loading label /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Done reading source surface Reading thickness /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.thickness Done Mapping Source Volume onto Source Subject Surface 1 0.3 0.3 0.3 using old Done mapping volume to surface Number of source voxels hit = 92491 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25699/rh.gm.mgh Dim: 137225 1 1 mri_concat /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25699/rh.wm.mgh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/tmp.pctsurfcon.25699/rh.gm.mgh --paired-diff-norm --mul 100 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.w-g.pct.mgh ninputs = 2 Checking inputs nframestot = 2 Allocing output Done allocing Combining pairs nframes = 1 Multiplying by 100.000000 Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.w-g.pct.mgh mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.w-g.pct.mgh --annot 111 rh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/stats/rh.w-g.pct.stats --snr $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.w-g.pct.mgh --annot 111 rh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/stats/rh.w-g.pct.stats --snr sysname Linux hostname compute-0-98 machine x86_64 user zkaufman UseRobust 0 Constructing seg from annotation Reading annotation /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Seg base 2000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.w-g.pct.mgh Vertex Area is 0.669105 mm^3 Generating list of segmentation ids Found 36 segmentations Computing statistics for each segmentation Reporting on 35 segmentations Using PrintSegStat mri_segstats done Cleaning up @#@FSTIME 2017:01:19:20:28:08 pctsurfcon N 3 e 8.60 S 0.46 U 7.01 P 86% M 333616 F 0 R 155889 W 0 c 398 w 435 I 0 O 3408 L 5.04 5.07 5.02 @#@FSLOADPOST 2017:01:19:20:28:17 pctsurfcon N 3 5.03 5.06 5.02 #----------------------------------------- #@# Relabel Hypointensities Thu Jan 19 20:28:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri mri_relabel_hypointensities aseg.presurf.mgz ../surf aseg.presurf.hypos.mgz reading input surface ../surf/lh.white... relabeling lh hypointensities... 2834 voxels changed to hypointensity... reading input surface ../surf/rh.white... relabeling rh hypointensities... 2253 voxels changed to hypointensity... 4591 hypointense voxels neighboring cortex changed @#@FSTIME 2017:01:19:20:28:17 mri_relabel_hypointensities N 3 e 24.14 S 0.59 U 23.36 P 99% M 496092 F 0 R 229857 W 0 c 1334 w 63 I 0 O 480 L 5.03 5.06 5.02 @#@FSLOADPOST 2017:01:19:20:28:41 mri_relabel_hypointensities N 3 5.02 5.06 5.02 #----------------------------------------- #@# AParc-to-ASeg aparc Thu Jan 19 20:28:41 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_aparc2aseg --s 111 --volmask --aseg aseg.presurf.hypos --relabel mri/norm.mgz mri/transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca mri/aseg.auto_noCCseg.label_intensities.txt relabeling unlikely voxels interior to white matter surface: norm: mri/norm.mgz XFORM: mri/transforms/talairach.m3z GCA: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca label intensities: mri/aseg.auto_noCCseg.label_intensities.txt SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 111 outvol /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aparc+aseg.mgz useribbon 0 baseoffset 0 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/ribbon.mgz Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aseg.presurf.hypos.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice relabeling unlikely voxels in interior of white matter setting orig areas to linear transform determinant scaled 6.63 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 106 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 9 rescaling Left_Inf_Lat_Vent from 34 --> 26 rescaling Left_Cerebellum_White_Matter from 86 --> 80 rescaling Left_Cerebellum_Cortex from 60 --> 52 rescaling Left_Thalamus from 94 --> 93 rescaling Left_Thalamus_Proper from 84 --> 86 rescaling Left_Caudate from 75 --> 65 rescaling Left_Putamen from 80 --> 79 rescaling Left_Pallidum from 98 --> 97 rescaling Third_Ventricle from 25 --> 10 rescaling Fourth_Ventricle from 22 --> 5 rescaling Brain_Stem from 81 --> 85 rescaling Left_Hippocampus from 57 --> 57 rescaling Left_Amygdala from 56 --> 52 rescaling CSF from 32 --> 16 rescaling Left_Accumbens_area from 62 --> 59 rescaling Left_VentralDC from 87 --> 94 rescaling Right_Cerebral_White_Matter from 105 --> 104 rescaling Right_Cerebral_Cortex from 58 --> 63 rescaling Right_Lateral_Ventricle from 13 --> 8 rescaling Right_Inf_Lat_Vent from 25 --> 21 rescaling Right_Cerebellum_White_Matter from 87 --> 82 rescaling Right_Cerebellum_Cortex from 59 --> 51 rescaling Right_Thalamus_Proper from 85 --> 81 rescaling Right_Caudate from 62 --> 70 rescaling Right_Putamen from 80 --> 75 rescaling Right_Pallidum from 97 --> 98 rescaling Right_Hippocampus from 53 --> 57 rescaling Right_Amygdala from 55 --> 58 rescaling Right_Accumbens_area from 65 --> 68 rescaling Right_VentralDC from 86 --> 95 rescaling Fifth_Ventricle from 40 --> 14 rescaling WM_hypointensities from 78 --> 78 rescaling non_WM_hypointensities from 40 --> 44 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 467154 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 363 changed. pass 2: 29 changed. pass 3: 1 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aparc+aseg.mgz @#@FSTIME 2017:01:19:20:28:42 mri_aparc2aseg N 10 e 299.51 S 2.32 U 296.35 P 99% M 2398132 F 0 R 942222 W 0 c 2395 w 239 I 0 O 808 L 5.02 5.06 5.02 @#@FSLOADPOST 2017:01:19:20:33:41 mri_aparc2aseg N 10 5.06 5.06 5.01 #----------------------------------------- #@# AParc-to-ASeg a2009s Thu Jan 19 20:33:41 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_aparc2aseg --s 111 --volmask --aseg aseg.presurf.hypos --relabel mri/norm.mgz mri/transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca mri/aseg.auto_noCCseg.label_intensities.txt --a2009s relabeling unlikely voxels interior to white matter surface: norm: mri/norm.mgz XFORM: mri/transforms/talairach.m3z GCA: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca label intensities: mri/aseg.auto_noCCseg.label_intensities.txt SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 111 outvol /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aparc.a2009s+aseg.mgz useribbon 0 baseoffset 10100 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.aparc.a2009s.annot reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.aparc.a2009s.annot reading colortable from annotation file... colortable with 76 entries read (originally Simple_surface_labels2008.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/ribbon.mgz Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aseg.presurf.hypos.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice relabeling unlikely voxels in interior of white matter setting orig areas to linear transform determinant scaled 6.63 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 106 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 9 rescaling Left_Inf_Lat_Vent from 34 --> 26 rescaling Left_Cerebellum_White_Matter from 86 --> 80 rescaling Left_Cerebellum_Cortex from 60 --> 52 rescaling Left_Thalamus from 94 --> 93 rescaling Left_Thalamus_Proper from 84 --> 86 rescaling Left_Caudate from 75 --> 65 rescaling Left_Putamen from 80 --> 79 rescaling Left_Pallidum from 98 --> 97 rescaling Third_Ventricle from 25 --> 10 rescaling Fourth_Ventricle from 22 --> 5 rescaling Brain_Stem from 81 --> 85 rescaling Left_Hippocampus from 57 --> 57 rescaling Left_Amygdala from 56 --> 52 rescaling CSF from 32 --> 16 rescaling Left_Accumbens_area from 62 --> 59 rescaling Left_VentralDC from 87 --> 94 rescaling Right_Cerebral_White_Matter from 105 --> 104 rescaling Right_Cerebral_Cortex from 58 --> 63 rescaling Right_Lateral_Ventricle from 13 --> 8 rescaling Right_Inf_Lat_Vent from 25 --> 21 rescaling Right_Cerebellum_White_Matter from 87 --> 82 rescaling Right_Cerebellum_Cortex from 59 --> 51 rescaling Right_Thalamus_Proper from 85 --> 81 rescaling Right_Caudate from 62 --> 70 rescaling Right_Putamen from 80 --> 75 rescaling Right_Pallidum from 97 --> 98 rescaling Right_Hippocampus from 53 --> 57 rescaling Right_Amygdala from 55 --> 58 rescaling Right_Accumbens_area from 65 --> 68 rescaling Right_VentralDC from 86 --> 95 rescaling Fifth_Ventricle from 40 --> 14 rescaling WM_hypointensities from 78 --> 78 rescaling non_WM_hypointensities from 40 --> 44 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 467218 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 363 changed. pass 2: 29 changed. pass 3: 1 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aparc.a2009s+aseg.mgz @#@FSTIME 2017:01:19:20:33:41 mri_aparc2aseg N 11 e 284.80 S 2.33 U 281.65 P 99% M 2398212 F 0 R 942748 W 0 c 853 w 238 I 0 O 872 L 5.06 5.06 5.01 @#@FSLOADPOST 2017:01:19:20:38:26 mri_aparc2aseg N 11 5.01 5.03 5.00 #----------------------------------------- #@# AParc-to-ASeg DKTatlas Thu Jan 19 20:38:26 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_aparc2aseg --s 111 --volmask --aseg aseg.presurf.hypos --relabel mri/norm.mgz mri/transforms/talairach.m3z /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca mri/aseg.auto_noCCseg.label_intensities.txt --annot aparc.DKTatlas --o mri/aparc.DKTatlas+aseg.mgz relabeling unlikely voxels interior to white matter surface: norm: mri/norm.mgz XFORM: mri/transforms/talairach.m3z GCA: /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/RB_all_2016-05-10.vc700.gca label intensities: mri/aseg.auto_noCCseg.label_intensities.txt SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 111 outvol mri/aparc.DKTatlas+aseg.mgz useribbon 0 baseoffset 0 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.aparc.DKTatlas.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.aparc.DKTatlas.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/ribbon.mgz Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aseg.presurf.hypos.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice relabeling unlikely voxels in interior of white matter setting orig areas to linear transform determinant scaled 6.63 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 106 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 9 rescaling Left_Inf_Lat_Vent from 34 --> 26 rescaling Left_Cerebellum_White_Matter from 86 --> 80 rescaling Left_Cerebellum_Cortex from 60 --> 52 rescaling Left_Thalamus from 94 --> 93 rescaling Left_Thalamus_Proper from 84 --> 86 rescaling Left_Caudate from 75 --> 65 rescaling Left_Putamen from 80 --> 79 rescaling Left_Pallidum from 98 --> 97 rescaling Third_Ventricle from 25 --> 10 rescaling Fourth_Ventricle from 22 --> 5 rescaling Brain_Stem from 81 --> 85 rescaling Left_Hippocampus from 57 --> 57 rescaling Left_Amygdala from 56 --> 52 rescaling CSF from 32 --> 16 rescaling Left_Accumbens_area from 62 --> 59 rescaling Left_VentralDC from 87 --> 94 rescaling Right_Cerebral_White_Matter from 105 --> 104 rescaling Right_Cerebral_Cortex from 58 --> 63 rescaling Right_Lateral_Ventricle from 13 --> 8 rescaling Right_Inf_Lat_Vent from 25 --> 21 rescaling Right_Cerebellum_White_Matter from 87 --> 82 rescaling Right_Cerebellum_Cortex from 59 --> 51 rescaling Right_Thalamus_Proper from 85 --> 81 rescaling Right_Caudate from 62 --> 70 rescaling Right_Putamen from 80 --> 75 rescaling Right_Pallidum from 97 --> 98 rescaling Right_Hippocampus from 53 --> 57 rescaling Right_Amygdala from 55 --> 58 rescaling Right_Accumbens_area from 65 --> 68 rescaling Right_VentralDC from 86 --> 95 rescaling Fifth_Ventricle from 40 --> 14 rescaling WM_hypointensities from 78 --> 78 rescaling non_WM_hypointensities from 40 --> 44 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 467218 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 363 changed. pass 2: 29 changed. pass 3: 1 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to mri/aparc.DKTatlas+aseg.mgz @#@FSTIME 2017:01:19:20:38:26 mri_aparc2aseg N 14 e 286.07 S 2.37 U 282.85 P 99% M 2398136 F 0 R 942740 W 0 c 1136 w 233 I 0 O 800 L 5.01 5.03 5.00 @#@FSLOADPOST 2017:01:19:20:43:12 mri_aparc2aseg N 14 5.16 5.14 5.05 #----------------------------------------- #@# APas-to-ASeg Thu Jan 19 20:43:13 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri apas2aseg --i aparc+aseg.mgz --o aseg.mgz Thu Jan 19 20:43:13 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/apas2aseg --i aparc+aseg.mgz --o aseg.mgz freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c $Id: apas2aseg,v 1.2 2016/02/12 21:43:14 zkaufman Exp $ Linux compute-0-98 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux mri_binarize --i aparc+aseg.mgz --o aseg.mgz --replace 1000 3 --replace 2000 42 --replace 1001 3 --replace 2001 42 --replace 1002 3 --replace 2002 42 --replace 1003 3 --replace 2003 42 --replace 1004 3 --replace 2004 42 --replace 1005 3 --replace 2005 42 --replace 1006 3 --replace 2006 42 --replace 1007 3 --replace 2007 42 --replace 1008 3 --replace 2008 42 --replace 1009 3 --replace 2009 42 --replace 1010 3 --replace 2010 42 --replace 1011 3 --replace 2011 42 --replace 1012 3 --replace 2012 42 --replace 1013 3 --replace 2013 42 --replace 1014 3 --replace 2014 42 --replace 1015 3 --replace 2015 42 --replace 1016 3 --replace 2016 42 --replace 1017 3 --replace 2017 42 --replace 1018 3 --replace 2018 42 --replace 1019 3 --replace 2019 42 --replace 1020 3 --replace 2020 42 --replace 1021 3 --replace 2021 42 --replace 1022 3 --replace 2022 42 --replace 1023 3 --replace 2023 42 --replace 1024 3 --replace 2024 42 --replace 1025 3 --replace 2025 42 --replace 1026 3 --replace 2026 42 --replace 1027 3 --replace 2027 42 --replace 1028 3 --replace 2028 42 --replace 1029 3 --replace 2029 42 --replace 1030 3 --replace 2030 42 --replace 1031 3 --replace 2031 42 --replace 1032 3 --replace 2032 42 --replace 1033 3 --replace 2033 42 --replace 1034 3 --replace 2034 42 --replace 1035 3 --replace 2035 42 $Id: mri_binarize.c,v 1.43 2016/06/09 20:46:21 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri cmdline mri_binarize.bin --i aparc+aseg.mgz --o aseg.mgz --replace 1000 3 --replace 2000 42 --replace 1001 3 --replace 2001 42 --replace 1002 3 --replace 2002 42 --replace 1003 3 --replace 2003 42 --replace 1004 3 --replace 2004 42 --replace 1005 3 --replace 2005 42 --replace 1006 3 --replace 2006 42 --replace 1007 3 --replace 2007 42 --replace 1008 3 --replace 2008 42 --replace 1009 3 --replace 2009 42 --replace 1010 3 --replace 2010 42 --replace 1011 3 --replace 2011 42 --replace 1012 3 --replace 2012 42 --replace 1013 3 --replace 2013 42 --replace 1014 3 --replace 2014 42 --replace 1015 3 --replace 2015 42 --replace 1016 3 --replace 2016 42 --replace 1017 3 --replace 2017 42 --replace 1018 3 --replace 2018 42 --replace 1019 3 --replace 2019 42 --replace 1020 3 --replace 2020 42 --replace 1021 3 --replace 2021 42 --replace 1022 3 --replace 2022 42 --replace 1023 3 --replace 2023 42 --replace 1024 3 --replace 2024 42 --replace 1025 3 --replace 2025 42 --replace 1026 3 --replace 2026 42 --replace 1027 3 --replace 2027 42 --replace 1028 3 --replace 2028 42 --replace 1029 3 --replace 2029 42 --replace 1030 3 --replace 2030 42 --replace 1031 3 --replace 2031 42 --replace 1032 3 --replace 2032 42 --replace 1033 3 --replace 2033 42 --replace 1034 3 --replace 2034 42 --replace 1035 3 --replace 2035 42 sysname Linux hostname compute-0-98 machine x86_64 user zkaufman input aparc+aseg.mgz frame 0 nErode3d 0 nErode2d 0 output aseg.mgz Binarizing based on threshold min -infinity max +infinity binval 1 binvalnot 0 fstart = 0, fend = 0, nframes = 1 Replacing 72 1: 1000 3 2: 2000 42 3: 1001 3 4: 2001 42 5: 1002 3 6: 2002 42 7: 1003 3 8: 2003 42 9: 1004 3 10: 2004 42 11: 1005 3 12: 2005 42 13: 1006 3 14: 2006 42 15: 1007 3 16: 2007 42 17: 1008 3 18: 2008 42 19: 1009 3 20: 2009 42 21: 1010 3 22: 2010 42 23: 1011 3 24: 2011 42 25: 1012 3 26: 2012 42 27: 1013 3 28: 2013 42 29: 1014 3 30: 2014 42 31: 1015 3 32: 2015 42 33: 1016 3 34: 2016 42 35: 1017 3 36: 2017 42 37: 1018 3 38: 2018 42 39: 1019 3 40: 2019 42 41: 1020 3 42: 2020 42 43: 1021 3 44: 2021 42 45: 1022 3 46: 2022 42 47: 1023 3 48: 2023 42 49: 1024 3 50: 2024 42 51: 1025 3 52: 2025 42 53: 1026 3 54: 2026 42 55: 1027 3 56: 2027 42 57: 1028 3 58: 2028 42 59: 1029 3 60: 2029 42 61: 1030 3 62: 2030 42 63: 1031 3 64: 2031 42 65: 1032 3 66: 2032 42 67: 1033 3 68: 2033 42 69: 1034 3 70: 2034 42 71: 1035 3 72: 2035 42 Found 0 values in range Counting number of voxels in first frame Found 0 voxels in final mask Count: 0 0.000000 16777216 0.000000 mri_binarize done Started at Thu Jan 19 20:43:13 EST 2017 Ended at Thu Jan 19 20:43:21 EST 2017 Apas2aseg-Run-Time-Sec 8 apas2aseg Done @#@FSTIME 2017:01:19:20:43:13 apas2aseg N 4 e 8.22 S 0.13 U 7.89 P 97% M 172372 F 0 R 55894 W 0 c 335 w 195 I 0 O 704 L 5.16 5.14 5.05 @#@FSLOADPOST 2017:01:19:20:43:21 apas2aseg N 4 5.13 5.13 5.05 #-------------------------------------------- #@# ASeg Stats Thu Jan 19 20:43:21 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/ASegStatsLUT.txt --subject 111 $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/ASegStatsLUT.txt --subject 111 sysname Linux hostname compute-0-98 machine x86_64 user zkaufman UseRobust 0 atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) Computing euler number orig.nofix lheno = -38, rheno = -40 orig.nofix lhholes = 20, rhholes = 21 Loading mri/aseg.mgz Getting Brain Volume Statistics lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 Loading mri/norm.mgz Loading mri/norm.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 50 segmentations Computing statistics for each segmentation Reporting on 45 segmentations Using PrintSegStat mri_segstats done @#@FSTIME 2017:01:19:20:43:21 mri_segstats N 30 e 262.20 S 1.56 U 259.91 P 99% M 242116 F 0 R 799450 W 0 c 1261 w 202 I 0 O 24 L 5.13 5.13 5.05 @#@FSLOADPOST 2017:01:19:20:47:43 mri_segstats N 30 5.68 5.24 5.09 #----------------------------------------- #@# WMParc Thu Jan 19 20:47:43 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111 mri_aparc2aseg --s 111 --labelwm --hypo-as-wm --rip-unknown --volmask --o mri/wmparc.mgz --ctxseg aparc+aseg.mgz SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 subject 111 outvol mri/wmparc.mgz useribbon 0 baseoffset 0 labeling wm labeling hypo-intensities as wm dmaxctx 5.000000 RipUnknown 1 CtxSeg /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aparc+aseg.mgz Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Reading rh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.aparc.annot reading colortable from annotation file... colortable with 36 entries read (originally /autofs/space/tanha_002/users/greve/fsdev.build/average/colortable_desikan_killiany.txt) Have color table for lh white annotation Have color table for rh white annotation Loading ribbon segmentation from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/ribbon.mgz Loading filled from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/ribbon.mgz Ripping vertices labeled as unkown Ripped 8483 vertices from left hemi Ripped 8577 vertices from right hemi Building hash of lh white Building hash of lh pial Building hash of rh white Building hash of rh pial Loading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aseg.mgz Loading Ctx Seg File /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/aparc+aseg.mgz ASeg Vox2RAS: ----------- -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; ------------------------- Labeling Slice 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 nctx = 936354 Used brute-force search on 330 voxels Fixing Parahip LH WM Found 6 clusters 0 k 2.000000 1 k 1355.000000 2 k 4.000000 3 k 2.000000 4 k 24.000000 5 k 1.000000 Fixing Parahip RH WM Found 4 clusters 0 k 1.000000 1 k 1.000000 2 k 41.000000 3 k 1285.000000 Writing output aseg to mri/wmparc.mgz @#@FSTIME 2017:01:19:20:47:43 mri_aparc2aseg N 10 e 171.48 S 0.72 U 169.98 P 99% M 1248228 F 0 R 255462 W 0 c 456 w 220 I 0 O 904 L 5.68 5.24 5.09 @#@FSLOADPOST 2017:01:19:20:50:35 mri_aparc2aseg N 10 5.67 5.38 5.16 mri_segstats --seg mri/wmparc.mgz --sum stats/wmparc.stats --pv mri/norm.mgz --excludeid 0 --brainmask mri/brainmask.mgz --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --subject 111 --surf-wm-vol --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/WMParcStatsLUT.txt --etiv $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ cwd cmdline mri_segstats --seg mri/wmparc.mgz --sum stats/wmparc.stats --pv mri/norm.mgz --excludeid 0 --brainmask mri/brainmask.mgz --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --subject 111 --surf-wm-vol --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/WMParcStatsLUT.txt --etiv sysname Linux hostname compute-0-98 machine x86_64 user zkaufman UseRobust 0 atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) Loading mri/wmparc.mgz Getting Brain Volume Statistics lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 Loading mri/norm.mgz Loading mri/norm.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 390 segmentations Computing statistics for each segmentation Reporting on 70 segmentations Using PrintSegStat mri_segstats done @#@FSTIME 2017:01:19:20:50:35 mri_segstats N 22 e 534.56 S 2.27 U 531.38 P 99% M 243608 F 0 R 1271459 W 0 c 2990 w 181 I 0 O 24 L 5.67 5.38 5.16 @#@FSLOADPOST 2017:01:19:20:59:30 mri_segstats N 22 5.16 5.27 5.18 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label #-------------------------------------------- #@# BA_exvivo Labels lh Thu Jan 19 20:59:30 EST 2017 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.label --trgsubject 111 --trglabel ./lh.BA1_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA1_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4129 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4129 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 283 Checking for and removing duplicates Writing label file ./lh.BA1_exvivo.label 4412 mri_label2label: Done @#@FSTIME 2017:01:19:20:59:30 mri_label2label N 12 e 11.94 S 0.31 U 11.26 P 96% M 547076 F 0 R 68685 W 0 c 150 w 74 I 0 O 272 L 5.16 5.27 5.18 @#@FSLOADPOST 2017:01:19:20:59:42 mri_label2label N 12 6.27 5.50 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.label --trgsubject 111 --trglabel ./lh.BA2_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA2_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 7909 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 7909 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 404 Checking for and removing duplicates Writing label file ./lh.BA2_exvivo.label 8313 mri_label2label: Done @#@FSTIME 2017:01:19:20:59:42 mri_label2label N 12 e 10.71 S 0.24 U 10.29 P 98% M 547352 F 0 R 69267 W 0 c 24 w 64 I 0 O 488 L 6.27 5.50 5.26 @#@FSLOADPOST 2017:01:19:20:59:53 mri_label2label N 12 6.07 5.48 5.25 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.label --trgsubject 111 --trglabel ./lh.BA3a_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA3a_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4077 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4077 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 106 Checking for and removing duplicates Writing label file ./lh.BA3a_exvivo.label 4183 mri_label2label: Done @#@FSTIME 2017:01:19:20:59:53 mri_label2label N 12 e 9.75 S 0.22 U 9.36 P 98% M 547060 F 0 R 69191 W 0 c 17 w 60 I 0 O 224 L 6.07 5.48 5.25 @#@FSLOADPOST 2017:01:19:21:00:02 mri_label2label N 12 5.91 5.46 5.25 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.label --trgsubject 111 --trglabel ./lh.BA3b_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA3b_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5983 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5983 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 274 Checking for and removing duplicates Writing label file ./lh.BA3b_exvivo.label 6257 mri_label2label: Done @#@FSTIME 2017:01:19:21:00:03 mri_label2label N 12 e 10.20 S 0.25 U 9.77 P 98% M 547200 F 0 R 69230 W 0 c 19 w 61 I 0 O 352 L 5.91 5.46 5.25 @#@FSLOADPOST 2017:01:19:21:00:13 mri_label2label N 12 5.77 5.45 5.25 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.label --trgsubject 111 --trglabel ./lh.BA4a_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA4a_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5784 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5784 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 363 Checking for and removing duplicates Writing label file ./lh.BA4a_exvivo.label 6147 mri_label2label: Done @#@FSTIME 2017:01:19:21:00:13 mri_label2label N 12 e 10.25 S 0.25 U 9.82 P 98% M 547196 F 0 R 68717 W 0 c 26 w 62 I 0 O 360 L 5.77 5.45 5.25 @#@FSLOADPOST 2017:01:19:21:00:23 mri_label2label N 12 5.65 5.43 5.25 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.label --trgsubject 111 --trglabel ./lh.BA4p_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA4p_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4070 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4070 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 151 Checking for and removing duplicates Writing label file ./lh.BA4p_exvivo.label 4221 mri_label2label: Done @#@FSTIME 2017:01:19:21:00:23 mri_label2label N 12 e 9.81 S 0.24 U 9.40 P 98% M 547068 F 0 R 69195 W 0 c 21 w 61 I 0 O 240 L 5.65 5.43 5.25 @#@FSLOADPOST 2017:01:19:21:00:33 mri_label2label N 12 5.55 5.42 5.24 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.label --trgsubject 111 --trglabel ./lh.BA6_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA6_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 13589 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 13589 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 1243 Checking for and removing duplicates Writing label file ./lh.BA6_exvivo.label 14832 mri_label2label: Done @#@FSTIME 2017:01:19:21:00:33 mri_label2label N 12 e 12.62 S 0.25 U 12.14 P 98% M 547780 F 0 R 69371 W 0 c 43 w 87 I 0 O 920 L 5.55 5.42 5.24 @#@FSLOADPOST 2017:01:19:21:00:46 mri_label2label N 12 5.43 5.40 5.24 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.label --trgsubject 111 --trglabel ./lh.BA44_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA44_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4181 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4181 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 366 Checking for and removing duplicates Writing label file ./lh.BA44_exvivo.label 4547 mri_label2label: Done @#@FSTIME 2017:01:19:21:00:46 mri_label2label N 12 e 9.80 S 0.26 U 9.37 P 98% M 547080 F 0 R 69198 W 0 c 18 w 61 I 0 O 296 L 5.43 5.40 5.24 @#@FSLOADPOST 2017:01:19:21:00:56 mri_label2label N 12 5.36 5.38 5.23 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.label --trgsubject 111 --trglabel ./lh.BA45_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA45_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3422 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3422 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 1048 Checking for and removing duplicates Writing label file ./lh.BA45_exvivo.label 4470 mri_label2label: Done @#@FSTIME 2017:01:19:21:00:56 mri_label2label N 12 e 9.69 S 0.29 U 9.21 P 98% M 547044 F 0 R 68678 W 0 c 574 w 61 I 0 O 344 L 5.36 5.38 5.23 @#@FSLOADPOST 2017:01:19:21:01:05 mri_label2label N 12 5.30 5.37 5.23 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.label --trgsubject 111 --trglabel ./lh.V1_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.V1_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4641 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4641 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 996 Checking for and removing duplicates Writing label file ./lh.V1_exvivo.label 5637 mri_label2label: Done @#@FSTIME 2017:01:19:21:01:05 mri_label2label N 12 e 12.31 S 0.31 U 11.71 P 97% M 547140 F 0 R 69213 W 0 c 111 w 63 I 0 O 400 L 5.30 5.37 5.23 @#@FSLOADPOST 2017:01:19:21:01:18 mri_label2label N 12 5.88 5.49 5.27 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.label --trgsubject 111 --trglabel ./lh.V2_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.V2_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 8114 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 8114 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 2457 Checking for and removing duplicates Writing label file ./lh.V2_exvivo.label 10571 mri_label2label: Done @#@FSTIME 2017:01:19:21:01:18 mri_label2label N 12 e 11.22 S 0.26 U 10.78 P 98% M 547432 F 0 R 69287 W 0 c 82 w 69 I 0 O 800 L 5.88 5.49 5.27 @#@FSLOADPOST 2017:01:19:21:01:29 mri_label2label N 12 5.74 5.47 5.27 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.label --trgsubject 111 --trglabel ./lh.MT_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.MT_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2018 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2018 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 647 Checking for and removing duplicates Writing label file ./lh.MT_exvivo.label 2665 mri_label2label: Done @#@FSTIME 2017:01:19:21:01:29 mri_label2label N 12 e 9.41 S 0.26 U 8.95 P 97% M 546932 F 0 R 68650 W 0 c 356 w 72 I 0 O 224 L 5.74 5.47 5.27 @#@FSLOADPOST 2017:01:19:21:01:39 mri_label2label N 12 5.63 5.46 5.27 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.label --trgsubject 111 --trglabel ./lh.entorhinal_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.entorhinal_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1290 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1290 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 175 Checking for and removing duplicates Writing label file ./lh.entorhinal_exvivo.label 1465 mri_label2label: Done @#@FSTIME 2017:01:19:21:01:39 mri_label2label N 12 e 9.17 S 0.26 U 8.70 P 97% M 546868 F 0 R 69146 W 0 c 428 w 73 I 0 O 104 L 5.63 5.46 5.27 @#@FSLOADPOST 2017:01:19:21:01:48 mri_label2label N 12 5.53 5.44 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.label --trgsubject 111 --trglabel ./lh.perirhinal_exvivo.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.perirhinal_exvivo.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1199 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1199 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 182 Checking for and removing duplicates Writing label file ./lh.perirhinal_exvivo.label 1381 mri_label2label: Done @#@FSTIME 2017:01:19:21:01:48 mri_label2label N 12 e 9.03 S 0.25 U 8.62 P 98% M 546856 F 0 R 69143 W 0 c 16 w 58 I 0 O 104 L 5.53 5.44 5.26 @#@FSLOADPOST 2017:01:19:21:01:57 mri_label2label N 12 5.45 5.43 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA1_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA1_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1014 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1014 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 120 Checking for and removing duplicates Writing label file ./lh.BA1_exvivo.thresh.label 1134 mri_label2label: Done @#@FSTIME 2017:01:19:21:01:57 mri_label2label N 12 e 8.96 S 0.25 U 8.55 P 98% M 546844 F 0 R 69137 W 0 c 14 w 58 I 0 O 80 L 5.45 5.43 5.26 @#@FSLOADPOST 2017:01:19:21:02:06 mri_label2label N 12 5.38 5.41 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA2_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA2_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2092 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2092 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 123 Checking for and removing duplicates Writing label file ./lh.BA2_exvivo.thresh.label 2215 mri_label2label: Done @#@FSTIME 2017:01:19:21:02:06 mri_label2label N 12 e 9.28 S 0.26 U 8.86 P 98% M 546916 F 0 R 69158 W 0 c 61 w 59 I 0 O 144 L 5.38 5.41 5.26 @#@FSLOADPOST 2017:01:19:21:02:15 mri_label2label N 12 5.35 5.40 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA3a_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA3a_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1504 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1504 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 44 Checking for and removing duplicates Writing label file ./lh.BA3a_exvivo.thresh.label 1548 mri_label2label: Done @#@FSTIME 2017:01:19:21:02:15 mri_label2label N 12 e 8.92 S 0.24 U 8.52 P 98% M 546876 F 0 R 69146 W 0 c 59 w 58 I 0 O 80 L 5.35 5.40 5.26 @#@FSLOADPOST 2017:01:19:21:02:24 mri_label2label N 12 5.37 5.41 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA3b_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA3b_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1996 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1996 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 66 Checking for and removing duplicates Writing label file ./lh.BA3b_exvivo.thresh.label 2062 mri_label2label: Done @#@FSTIME 2017:01:19:21:02:24 mri_label2label N 12 e 9.00 S 0.27 U 8.57 P 98% M 546904 F 0 R 69154 W 0 c 18 w 59 I 0 O 120 L 5.37 5.41 5.26 @#@FSLOADPOST 2017:01:19:21:02:33 mri_label2label N 12 5.32 5.39 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA4a_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA4a_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2319 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2319 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 120 Checking for and removing duplicates Writing label file ./lh.BA4a_exvivo.thresh.label 2439 mri_label2label: Done @#@FSTIME 2017:01:19:21:02:33 mri_label2label N 12 e 9.37 S 0.27 U 8.90 P 97% M 546920 F 0 R 69159 W 0 c 36 w 69 I 0 O 144 L 5.32 5.39 5.26 @#@FSLOADPOST 2017:01:19:21:02:43 mri_label2label N 12 5.27 5.38 5.25 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA4p_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA4p_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1549 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1549 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 70 Checking for and removing duplicates Writing label file ./lh.BA4p_exvivo.thresh.label 1619 mri_label2label: Done @#@FSTIME 2017:01:19:21:02:43 mri_label2label N 12 e 9.11 S 0.23 U 8.67 P 97% M 546880 F 0 R 69150 W 0 c 41 w 73 I 0 O 96 L 5.27 5.38 5.25 @#@FSLOADPOST 2017:01:19:21:02:52 mri_label2label N 12 5.30 5.38 5.25 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA6_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA6_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 7035 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 7035 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 453 Checking for and removing duplicates Writing label file ./lh.BA6_exvivo.thresh.label 7488 mri_label2label: Done @#@FSTIME 2017:01:19:21:02:52 mri_label2label N 12 e 10.66 S 0.28 U 10.20 P 98% M 547288 F 0 R 69250 W 0 c 20 w 63 I 0 O 440 L 5.30 5.38 5.25 @#@FSLOADPOST 2017:01:19:21:03:03 mri_label2label N 12 5.33 5.39 5.26 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA44_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA44_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1912 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1912 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 155 Checking for and removing duplicates Writing label file ./lh.BA44_exvivo.thresh.label 2067 mri_label2label: Done @#@FSTIME 2017:01:19:21:03:03 mri_label2label N 12 e 11.20 S 0.32 U 10.58 P 97% M 546904 F 0 R 68643 W 0 c 123 w 60 I 0 O 136 L 5.33 5.39 5.26 @#@FSLOADPOST 2017:01:19:21:03:14 mri_label2label N 12 6.19 5.57 5.32 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.BA45_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.BA45_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1151 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1151 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 366 Checking for and removing duplicates Writing label file ./lh.BA45_exvivo.thresh.label 1517 mri_label2label: Done @#@FSTIME 2017:01:19:21:03:14 mri_label2label N 12 e 9.64 S 0.29 U 9.15 P 97% M 546860 F 0 R 69142 W 0 c 42 w 60 I 0 O 120 L 6.19 5.57 5.32 @#@FSLOADPOST 2017:01:19:21:03:24 mri_label2label N 12 6.37 5.63 5.34 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.V1_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.V1_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3405 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3405 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 627 Checking for and removing duplicates Writing label file ./lh.V1_exvivo.thresh.label 4032 mri_label2label: Done @#@FSTIME 2017:01:19:21:03:24 mri_label2label N 12 e 9.64 S 0.26 U 9.20 P 98% M 547020 F 0 R 69185 W 0 c 27 w 60 I 0 O 280 L 6.37 5.63 5.34 @#@FSLOADPOST 2017:01:19:21:03:33 mri_label2label N 12 6.16 5.61 5.34 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.V2_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.V2_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3334 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3334 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 1122 Checking for and removing duplicates Writing label file ./lh.V2_exvivo.thresh.label 4456 mri_label2label: Done @#@FSTIME 2017:01:19:21:03:33 mri_label2label N 12 e 9.65 S 0.24 U 9.21 P 97% M 547052 F 0 R 69192 W 0 c 25 w 72 I 0 O 352 L 6.16 5.61 5.34 @#@FSLOADPOST 2017:01:19:21:03:43 mri_label2label N 12 6.05 5.61 5.34 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.MT_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.MT_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 513 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 513 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 161 Checking for and removing duplicates Writing label file ./lh.MT_exvivo.thresh.label 674 mri_label2label: Done @#@FSTIME 2017:01:19:21:03:43 mri_label2label N 12 e 8.43 S 0.18 U 8.05 P 97% M 546804 F 0 R 69129 W 0 c 137 w 71 I 0 O 64 L 6.05 5.61 5.34 @#@FSLOADPOST 2017:01:19:21:03:52 mri_label2label N 12 5.89 5.59 5.33 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.entorhinal_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.entorhinal_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 470 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 470 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 59 Checking for and removing duplicates Writing label file ./lh.entorhinal_exvivo.thresh.label 529 mri_label2label: Done @#@FSTIME 2017:01:19:21:03:52 mri_label2label N 12 e 8.37 S 0.22 U 8.00 P 98% M 546796 F 0 R 68614 W 0 c 11 w 57 I 0 O 40 L 5.89 5.59 5.33 @#@FSLOADPOST 2017:01:19:21:04:00 mri_label2label N 12 5.82 5.58 5.33 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.thresh.label --trgsubject 111 --trglabel ./lh.perirhinal_exvivo.thresh.label --hemi lh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./lh.perirhinal_exvivo.thresh.label regmethod = surface srchemi = lh trghemi = lh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 450 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/lh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 450 nlabel points Performing mapping from target back to the source label 136995 Number of reverse mapping hits = 113 Checking for and removing duplicates Writing label file ./lh.perirhinal_exvivo.thresh.label 563 mri_label2label: Done @#@FSTIME 2017:01:19:21:04:00 mri_label2label N 12 e 8.81 S 0.28 U 8.38 P 98% M 546800 F 0 R 68614 W 0 c 57 w 56 I 0 O 48 L 5.82 5.58 5.33 @#@FSLOADPOST 2017:01:19:21:04:09 mri_label2label N 12 5.77 5.57 5.33 mris_label2annot --s 111 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.label --l lh.BA2_exvivo.label --l lh.BA3a_exvivo.label --l lh.BA3b_exvivo.label --l lh.BA4a_exvivo.label --l lh.BA4p_exvivo.label --l lh.BA6_exvivo.label --l lh.BA44_exvivo.label --l lh.BA45_exvivo.label --l lh.V1_exvivo.label --l lh.V2_exvivo.label --l lh.MT_exvivo.label --l lh.entorhinal_exvivo.label --l lh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label cmdline mris_label2annot --s 111 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.label --l lh.BA2_exvivo.label --l lh.BA3a_exvivo.label --l lh.BA3b_exvivo.label --l lh.BA4a_exvivo.label --l lh.BA4p_exvivo.label --l lh.BA6_exvivo.label --l lh.BA44_exvivo.label --l lh.BA45_exvivo.label --l lh.V1_exvivo.label --l lh.V2_exvivo.label --l lh.MT_exvivo.label --l lh.entorhinal_exvivo.label --l lh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose sysname Linux hostname compute-0-98 machine x86_64 user zkaufman subject 111 hemi lh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 95733 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.BA_exvivo.annot @#@FSTIME 2017:01:19:21:04:09 mris_label2annot N 38 e 2.44 S 0.10 U 1.64 P 71% M 178256 F 0 R 23753 W 0 c 53 w 258 I 0 O 2144 L 5.77 5.57 5.33 @#@FSLOADPOST 2017:01:19:21:04:12 mris_label2annot N 38 5.71 5.56 5.33 mris_label2annot --s 111 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.thresh.label --l lh.BA2_exvivo.thresh.label --l lh.BA3a_exvivo.thresh.label --l lh.BA3b_exvivo.thresh.label --l lh.BA4a_exvivo.thresh.label --l lh.BA4p_exvivo.thresh.label --l lh.BA6_exvivo.thresh.label --l lh.BA44_exvivo.thresh.label --l lh.BA45_exvivo.thresh.label --l lh.V1_exvivo.thresh.label --l lh.V2_exvivo.thresh.label --l lh.MT_exvivo.thresh.label --l lh.entorhinal_exvivo.thresh.label --l lh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label cmdline mris_label2annot --s 111 --hemi lh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l lh.BA1_exvivo.thresh.label --l lh.BA2_exvivo.thresh.label --l lh.BA3a_exvivo.thresh.label --l lh.BA3b_exvivo.thresh.label --l lh.BA4a_exvivo.thresh.label --l lh.BA4p_exvivo.thresh.label --l lh.BA6_exvivo.thresh.label --l lh.BA44_exvivo.thresh.label --l lh.BA45_exvivo.thresh.label --l lh.V1_exvivo.thresh.label --l lh.V2_exvivo.thresh.label --l lh.MT_exvivo.thresh.label --l lh.entorhinal_exvivo.thresh.label --l lh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose sysname Linux hostname compute-0-98 machine x86_64 user zkaufman subject 111 hemi lh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo.thresh nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 113306 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/lh.BA_exvivo.thresh.annot @#@FSTIME 2017:01:19:21:04:12 mris_label2annot N 38 e 2.34 S 0.07 U 1.58 P 70% M 178052 F 0 R 23597 W 0 c 37 w 258 I 0 O 2144 L 5.71 5.56 5.33 @#@FSLOADPOST 2017:01:19:21:04:14 mris_label2annot N 38 5.71 5.56 5.33 mris_anatomical_stats -th3 -mgz -f ../stats/lh.BA_exvivo.stats -b -a ./lh.BA_exvivo.annot -c ./BA_exvivo.ctab 111 lh white computing statistics for each annotation in ./lh.BA_exvivo.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 237441 Total vertex volume 234100 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1226 626 1981 2.323 0.603 0.113 0.036 16 1.6 BA1_exvivo 3833 2561 5881 2.183 0.489 0.109 0.020 31 3.1 BA2_exvivo 994 709 965 1.708 0.400 0.148 0.029 11 1.1 BA3a_exvivo 2151 1428 2786 1.761 0.553 0.098 0.021 15 1.7 BA3b_exvivo 1698 1012 2972 2.596 0.488 0.107 0.025 13 1.9 BA4a_exvivo 1252 816 1950 2.440 0.512 0.090 0.019 6 0.9 BA4p_exvivo 9504 5929 19760 2.787 0.569 0.115 0.027 91 10.1 BA6_exvivo 2400 1620 4345 2.412 0.476 0.114 0.023 23 2.3 BA44_exvivo 3496 2350 5942 2.240 0.474 0.132 0.031 50 4.1 BA45_exvivo 2984 1917 4176 1.910 0.584 0.139 0.040 41 4.9 V1_exvivo 7850 5141 11332 2.022 0.472 0.144 0.038 116 11.6 V2_exvivo 2423 1610 4481 2.445 0.547 0.132 0.029 29 2.7 MT_exvivo 634 452 1827 2.866 1.000 0.133 0.024 8 0.6 perirhinal_exvivo 817 596 2330 2.947 0.725 0.145 0.035 12 1.2 entorhinal_exvivo @#@FSTIME 2017:01:19:21:04:14 mris_anatomical_stats N 12 e 30.61 S 0.27 U 29.59 P 97% M 541684 F 0 R 74030 W 0 c 79 w 257 I 0 O 136 L 5.71 5.56 5.33 @#@FSLOADPOST 2017:01:19:21:04:45 mris_anatomical_stats N 12 5.43 5.51 5.32 mris_anatomical_stats -th3 -mgz -f ../stats/lh.BA_exvivo.thresh.stats -b -a ./lh.BA_exvivo.thresh.annot -c ./BA_exvivo.thresh.ctab 111 lh white computing statistics for each annotation in ./lh.BA_exvivo.thresh.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 237441 Total vertex volume 234100 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.thresh.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 824 392 1311 2.379 0.671 0.118 0.037 11 1.1 BA1_exvivo 1566 1019 2506 2.243 0.528 0.101 0.018 11 1.1 BA2_exvivo 835 593 762 1.660 0.372 0.154 0.030 10 1.0 BA3a_exvivo 1308 870 1314 1.487 0.367 0.082 0.015 5 0.8 BA3b_exvivo 1575 973 2712 2.539 0.459 0.097 0.021 9 1.5 BA4a_exvivo 1069 693 1575 2.402 0.532 0.095 0.020 5 0.9 BA4p_exvivo 5041 3007 10125 2.789 0.580 0.106 0.024 41 4.8 BA6_exvivo 1540 1018 2950 2.529 0.402 0.122 0.027 17 1.7 BA44_exvivo 1360 898 2698 2.451 0.457 0.144 0.035 23 1.8 BA45_exvivo 3144 2058 4441 1.896 0.571 0.140 0.040 43 5.1 V1_exvivo 3983 2585 5556 1.996 0.466 0.151 0.041 66 6.4 V2_exvivo 629 413 962 2.278 0.333 0.115 0.025 6 0.5 MT_exvivo 323 241 820 2.511 0.902 0.110 0.014 2 0.2 perirhinal_exvivo 492 351 1063 2.729 0.712 0.145 0.032 7 0.7 entorhinal_exvivo @#@FSTIME 2017:01:19:21:04:45 mris_anatomical_stats N 12 e 31.09 S 0.30 U 30.03 P 97% M 541676 F 0 R 74028 W 0 c 162 w 257 I 0 O 136 L 5.43 5.51 5.32 @#@FSLOADPOST 2017:01:19:21:05:16 mris_anatomical_stats N 12 5.24 5.45 5.31 #-------------------------------------------- #@# BA_exvivo Labels rh Thu Jan 19 21:05:16 EST 2017 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.label --trgsubject 111 --trglabel ./rh.BA1_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA1_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3962 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3962 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 272 Checking for and removing duplicates Writing label file ./rh.BA1_exvivo.label 4234 mri_label2label: Done @#@FSTIME 2017:01:19:21:05:16 mri_label2label N 12 e 9.50 S 0.23 U 9.06 P 97% M 547300 F 0 R 68745 W 0 c 483 w 73 I 0 O 248 L 5.24 5.45 5.31 @#@FSLOADPOST 2017:01:19:21:05:26 mri_label2label N 12 5.20 5.44 5.30 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.label --trgsubject 111 --trglabel ./rh.BA2_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA2_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 6687 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 6687 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 321 Checking for and removing duplicates Writing label file ./rh.BA2_exvivo.label 7008 mri_label2label: Done @#@FSTIME 2017:01:19:21:05:26 mri_label2label N 12 e 10.54 S 0.24 U 10.12 P 98% M 547488 F 0 R 69299 W 0 c 508 w 62 I 0 O 376 L 5.20 5.44 5.30 @#@FSLOADPOST 2017:01:19:21:05:36 mri_label2label N 12 5.17 5.42 5.30 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.label --trgsubject 111 --trglabel ./rh.BA3a_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA3a_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3980 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3980 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 117 Checking for and removing duplicates Writing label file ./rh.BA3a_exvivo.label 4097 mri_label2label: Done @#@FSTIME 2017:01:19:21:05:36 mri_label2label N 12 e 10.63 S 0.24 U 10.18 P 98% M 547292 F 0 R 68738 W 0 c 172 w 61 I 0 O 216 L 5.17 5.42 5.30 @#@FSLOADPOST 2017:01:19:21:05:47 mri_label2label N 12 5.54 5.49 5.32 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.label --trgsubject 111 --trglabel ./rh.BA3b_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA3b_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4522 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4522 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 181 Checking for and removing duplicates Writing label file ./rh.BA3b_exvivo.label 4703 mri_label2label: Done @#@FSTIME 2017:01:19:21:05:47 mri_label2label N 12 e 11.62 S 0.33 U 10.91 P 96% M 547336 F 0 R 69262 W 0 c 138 w 68 I 0 O 264 L 5.54 5.49 5.32 @#@FSLOADPOST 2017:01:19:21:05:59 mri_label2label N 12 5.46 5.47 5.32 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.label --trgsubject 111 --trglabel ./rh.BA4a_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA4a_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5747 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5747 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 711 Checking for and removing duplicates Writing label file ./rh.BA4a_exvivo.label 6458 mri_label2label: Done @#@FSTIME 2017:01:19:21:05:59 mri_label2label N 12 e 10.46 S 0.23 U 10.03 P 98% M 547440 F 0 R 68775 W 0 c 20 w 63 I 0 O 416 L 5.46 5.47 5.32 @#@FSLOADPOST 2017:01:19:21:06:09 mri_label2label N 12 5.46 5.47 5.32 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.label --trgsubject 111 --trglabel ./rh.BA4p_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA4p_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4473 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4473 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 331 Checking for and removing duplicates Writing label file ./rh.BA4p_exvivo.label 4804 mri_label2label: Done @#@FSTIME 2017:01:19:21:06:09 mri_label2label N 12 e 9.90 S 0.26 U 9.47 P 98% M 547336 F 0 R 69261 W 0 c 18 w 61 I 0 O 280 L 5.46 5.47 5.32 @#@FSLOADPOST 2017:01:19:21:06:19 mri_label2label N 12 5.39 5.46 5.32 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.label --trgsubject 111 --trglabel ./rh.BA6_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA6_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 12256 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 12256 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 1276 Checking for and removing duplicates Writing label file ./rh.BA6_exvivo.label 13532 mri_label2label: Done @#@FSTIME 2017:01:19:21:06:19 mri_label2label N 12 e 12.15 S 0.28 U 11.65 P 98% M 547912 F 0 R 69407 W 0 c 41 w 80 I 0 O 856 L 5.39 5.46 5.32 @#@FSLOADPOST 2017:01:19:21:06:31 mri_label2label N 12 5.30 5.43 5.31 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.label --trgsubject 111 --trglabel ./rh.BA44_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA44_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 6912 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 6912 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 912 Checking for and removing duplicates Writing label file ./rh.BA44_exvivo.label 7824 mri_label2label: Done @#@FSTIME 2017:01:19:21:06:31 mri_label2label N 12 e 10.26 S 0.23 U 9.85 P 98% M 547528 F 0 R 68799 W 0 c 23 w 65 I 0 O 528 L 5.30 5.43 5.31 @#@FSLOADPOST 2017:01:19:21:06:42 mri_label2label N 12 5.26 5.42 5.31 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.label --trgsubject 111 --trglabel ./rh.BA45_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA45_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 5355 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 5355 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 1194 Checking for and removing duplicates Writing label file ./rh.BA45_exvivo.label 6549 mri_label2label: Done @#@FSTIME 2017:01:19:21:06:42 mri_label2label N 12 e 9.72 S 0.24 U 9.29 P 98% M 547432 F 0 R 69287 W 0 c 167 w 67 I 0 O 496 L 5.26 5.42 5.31 @#@FSLOADPOST 2017:01:19:21:06:52 mri_label2label N 12 5.22 5.40 5.30 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.label --trgsubject 111 --trglabel ./rh.V1_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.V1_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 4727 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 4727 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 1370 Checking for and removing duplicates Writing label file ./rh.V1_exvivo.label 6097 mri_label2label: Done @#@FSTIME 2017:01:19:21:06:52 mri_label2label N 12 e 10.18 S 0.26 U 9.72 P 98% M 547388 F 0 R 68766 W 0 c 212 w 70 I 0 O 456 L 5.22 5.40 5.30 @#@FSLOADPOST 2017:01:19:21:07:02 mri_label2label N 12 5.18 5.39 5.30 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.label --trgsubject 111 --trglabel ./rh.V2_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.V2_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 8016 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 8016 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 2816 Checking for and removing duplicates Writing label file ./rh.V2_exvivo.label 10832 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:02 mri_label2label N 12 e 11.18 S 0.24 U 10.75 P 98% M 547672 F 0 R 69346 W 0 c 29 w 71 I 0 O 840 L 5.18 5.39 5.30 @#@FSLOADPOST 2017:01:19:21:07:13 mri_label2label N 12 5.15 5.38 5.29 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.label --trgsubject 111 --trglabel ./rh.MT_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.MT_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1932 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1932 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 537 Checking for and removing duplicates Writing label file ./rh.MT_exvivo.label 2469 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:13 mri_label2label N 12 e 9.20 S 0.23 U 8.80 P 98% M 547156 F 0 R 69217 W 0 c 17 w 59 I 0 O 192 L 5.15 5.38 5.29 @#@FSLOADPOST 2017:01:19:21:07:22 mri_label2label N 12 5.13 5.36 5.29 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.label --trgsubject 111 --trglabel ./rh.entorhinal_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.entorhinal_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1038 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1038 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 99 Checking for and removing duplicates Writing label file ./rh.entorhinal_exvivo.label 1137 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:22 mri_label2label N 12 e 8.98 S 0.24 U 8.55 P 97% M 547072 F 0 R 69197 W 0 c 250 w 67 I 0 O 72 L 5.13 5.36 5.29 @#@FSLOADPOST 2017:01:19:21:07:31 mri_label2label N 12 5.11 5.35 5.29 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.label --trgsubject 111 --trglabel ./rh.perirhinal_exvivo.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.perirhinal_exvivo.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 752 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 752 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 93 Checking for and removing duplicates Writing label file ./rh.perirhinal_exvivo.label 845 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:31 mri_label2label N 12 e 8.90 S 0.24 U 8.50 P 98% M 547056 F 0 R 68680 W 0 c 581 w 56 I 0 O 56 L 5.11 5.35 5.29 @#@FSLOADPOST 2017:01:19:21:07:40 mri_label2label N 12 5.10 5.35 5.28 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA1_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA1_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 876 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 876 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 127 Checking for and removing duplicates Writing label file ./rh.BA1_exvivo.thresh.label 1003 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:40 mri_label2label N 12 e 9.02 S 0.26 U 8.59 P 98% M 547064 F 0 R 69194 W 0 c 801 w 58 I 0 O 72 L 5.09 5.34 5.28 @#@FSLOADPOST 2017:01:19:21:07:49 mri_label2label N 12 5.08 5.33 5.28 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA2_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA2_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2688 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2688 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 87 Checking for and removing duplicates Writing label file ./rh.BA2_exvivo.thresh.label 2775 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:49 mri_label2label N 12 e 9.51 S 0.24 U 9.07 P 97% M 547196 F 0 R 68716 W 0 c 442 w 69 I 0 O 144 L 5.08 5.33 5.28 @#@FSLOADPOST 2017:01:19:21:07:59 mri_label2label N 12 5.07 5.32 5.28 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA3a_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA3a_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1698 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1698 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 51 Checking for and removing duplicates Writing label file ./rh.BA3a_exvivo.thresh.label 1749 mri_label2label: Done @#@FSTIME 2017:01:19:21:07:59 mri_label2label N 12 e 8.94 S 0.24 U 8.53 P 98% M 547132 F 0 R 69211 W 0 c 52 w 61 I 0 O 96 L 5.07 5.32 5.28 @#@FSLOADPOST 2017:01:19:21:08:08 mri_label2label N 12 5.06 5.31 5.27 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA3b_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA3b_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 2183 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 2183 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 61 Checking for and removing duplicates Writing label file ./rh.BA3b_exvivo.thresh.label 2244 mri_label2label: Done @#@FSTIME 2017:01:19:21:08:08 mri_label2label N 12 e 10.09 S 0.30 U 9.61 P 98% M 547160 F 0 R 68707 W 0 c 55 w 58 I 0 O 128 L 5.06 5.31 5.27 @#@FSLOADPOST 2017:01:19:21:08:18 mri_label2label N 12 5.61 5.42 5.31 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA4a_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA4a_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1388 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1388 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 155 Checking for and removing duplicates Writing label file ./rh.BA4a_exvivo.thresh.label 1543 mri_label2label: Done @#@FSTIME 2017:01:19:21:08:18 mri_label2label N 12 e 10.91 S 0.33 U 10.20 P 96% M 547112 F 0 R 68695 W 0 c 76 w 60 I 0 O 104 L 5.61 5.42 5.31 @#@FSLOADPOST 2017:01:19:21:08:29 mri_label2label N 12 6.15 5.54 5.35 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA4p_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA4p_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1489 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1489 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 123 Checking for and removing duplicates Writing label file ./rh.BA4p_exvivo.thresh.label 1612 mri_label2label: Done @#@FSTIME 2017:01:19:21:08:29 mri_label2label N 12 e 9.53 S 0.29 U 9.05 P 98% M 547112 F 0 R 68694 W 0 c 26 w 69 I 0 O 104 L 6.15 5.54 5.35 @#@FSLOADPOST 2017:01:19:21:08:39 mri_label2label N 12 6.05 5.53 5.35 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA6_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA6_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 6959 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 6959 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 696 Checking for and removing duplicates Writing label file ./rh.BA6_exvivo.thresh.label 7655 mri_label2label: Done @#@FSTIME 2017:01:19:21:08:39 mri_label2label N 12 e 10.63 S 0.24 U 10.22 P 98% M 547528 F 0 R 69308 W 0 c 27 w 64 I 0 O 488 L 6.05 5.53 5.35 @#@FSLOADPOST 2017:01:19:21:08:50 mri_label2label N 12 5.89 5.52 5.34 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA44_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA44_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1012 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1012 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 135 Checking for and removing duplicates Writing label file ./rh.BA44_exvivo.thresh.label 1147 mri_label2label: Done @#@FSTIME 2017:01:19:21:08:50 mri_label2label N 12 e 9.04 S 0.27 U 8.58 P 97% M 547084 F 0 R 69199 W 0 c 65 w 68 I 0 O 80 L 5.89 5.52 5.34 @#@FSLOADPOST 2017:01:19:21:08:59 mri_label2label N 12 5.75 5.50 5.34 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.BA45_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.BA45_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 1178 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 1178 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 214 Checking for and removing duplicates Writing label file ./rh.BA45_exvivo.thresh.label 1392 mri_label2label: Done @#@FSTIME 2017:01:19:21:08:59 mri_label2label N 12 e 9.10 S 0.24 U 8.69 P 98% M 547092 F 0 R 69200 W 0 c 20 w 61 I 0 O 104 L 5.75 5.50 5.34 @#@FSLOADPOST 2017:01:19:21:09:08 mri_label2label N 12 5.63 5.48 5.34 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.V1_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.V1_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3232 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3232 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 817 Checking for and removing duplicates Writing label file ./rh.V1_exvivo.thresh.label 4049 mri_label2label: Done @#@FSTIME 2017:01:19:21:09:08 mri_label2label N 12 e 9.75 S 0.27 U 9.30 P 98% M 547256 F 0 R 69241 W 0 c 20 w 63 I 0 O 296 L 5.63 5.48 5.34 @#@FSLOADPOST 2017:01:19:21:09:18 mri_label2label N 12 5.54 5.46 5.33 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.V2_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.V2_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 3437 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 3437 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 1332 Checking for and removing duplicates Writing label file ./rh.V2_exvivo.thresh.label 4769 mri_label2label: Done @#@FSTIME 2017:01:19:21:09:18 mri_label2label N 12 e 9.66 S 0.24 U 9.23 P 98% M 547276 F 0 R 69247 W 0 c 23 w 62 I 0 O 376 L 5.54 5.46 5.33 @#@FSLOADPOST 2017:01:19:21:09:27 mri_label2label N 12 5.45 5.45 5.33 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.MT_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.MT_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 268 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 268 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 103 Checking for and removing duplicates Writing label file ./rh.MT_exvivo.thresh.label 371 mri_label2label: Done @#@FSTIME 2017:01:19:21:09:28 mri_label2label N 12 e 8.36 S 0.22 U 7.97 P 97% M 547016 F 0 R 69174 W 0 c 116 w 63 I 0 O 32 L 5.45 5.45 5.33 @#@FSLOADPOST 2017:01:19:21:09:36 mri_label2label N 12 5.46 5.45 5.33 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.entorhinal_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.entorhinal_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 694 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 694 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 51 Checking for and removing duplicates Writing label file ./rh.entorhinal_exvivo.thresh.label 745 mri_label2label: Done @#@FSTIME 2017:01:19:21:09:36 mri_label2label N 12 e 8.93 S 0.22 U 8.54 P 98% M 547060 F 0 R 69190 W 0 c 14 w 61 I 0 O 48 L 5.46 5.45 5.33 @#@FSLOADPOST 2017:01:19:21:09:45 mri_label2label N 12 5.42 5.44 5.33 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.thresh.label --trgsubject 111 --trglabel ./rh.perirhinal_exvivo.thresh.label --hemi rh --regmethod surface srclabel = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.thresh.label srcsubject = fsaverage trgsubject = 111 trglabel = ./rh.perirhinal_exvivo.thresh.label regmethod = surface srchemi = rh trghemi = rh trgsurface = white srcsurfreg = sphere.reg trgsurfreg = sphere.reg usehash = 1 Use ProjAbs = 0, 0 Use ProjFrac = 0, 0 DoPaint 0 SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 FREESURFER_HOME /space/freesurfer/build/pub-releases/v6.0.0/freesurfer Loading source label. Found 291 points in source label. Starting surface-based mapping Reading source registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/surf/rh.sphere.reg Rescaling ... original radius = 100 Reading target surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.sphere.reg Rescaling ... original radius = 100 Building target registration hash (res=16). Building source registration hash (res=16). INFO: found 291 nlabel points Performing mapping from target back to the source label 137225 Number of reverse mapping hits = 34 Checking for and removing duplicates Writing label file ./rh.perirhinal_exvivo.thresh.label 325 mri_label2label: Done @#@FSTIME 2017:01:19:21:09:45 mri_label2label N 12 e 8.63 S 0.23 U 8.24 P 98% M 547024 F 0 R 69175 W 0 c 60 w 57 I 0 O 24 L 5.42 5.44 5.33 @#@FSLOADPOST 2017:01:19:21:09:54 mri_label2label N 12 5.36 5.43 5.32 mris_label2annot --s 111 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.label --l rh.BA2_exvivo.label --l rh.BA3a_exvivo.label --l rh.BA3b_exvivo.label --l rh.BA4a_exvivo.label --l rh.BA4p_exvivo.label --l rh.BA6_exvivo.label --l rh.BA44_exvivo.label --l rh.BA45_exvivo.label --l rh.V1_exvivo.label --l rh.V2_exvivo.label --l rh.MT_exvivo.label --l rh.entorhinal_exvivo.label --l rh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label cmdline mris_label2annot --s 111 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.label --l rh.BA2_exvivo.label --l rh.BA3a_exvivo.label --l rh.BA3b_exvivo.label --l rh.BA4a_exvivo.label --l rh.BA4p_exvivo.label --l rh.BA6_exvivo.label --l rh.BA44_exvivo.label --l rh.BA45_exvivo.label --l rh.V1_exvivo.label --l rh.V2_exvivo.label --l rh.MT_exvivo.label --l rh.entorhinal_exvivo.label --l rh.perirhinal_exvivo.label --a BA_exvivo --maxstatwinner --noverbose sysname Linux hostname compute-0-98 machine x86_64 user zkaufman subject 111 hemi rh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 94712 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.BA_exvivo.annot @#@FSTIME 2017:01:19:21:09:54 mris_label2annot N 38 e 2.40 S 0.08 U 1.62 P 71% M 178412 F 0 R 23822 W 0 c 37 w 259 I 0 O 2152 L 5.36 5.43 5.32 @#@FSLOADPOST 2017:01:19:21:09:56 mris_label2annot N 38 5.33 5.42 5.32 mris_label2annot --s 111 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.thresh.label --l rh.BA2_exvivo.thresh.label --l rh.BA3a_exvivo.thresh.label --l rh.BA3b_exvivo.thresh.label --l rh.BA4a_exvivo.thresh.label --l rh.BA4p_exvivo.thresh.label --l rh.BA6_exvivo.thresh.label --l rh.BA44_exvivo.thresh.label --l rh.BA45_exvivo.thresh.label --l rh.V1_exvivo.thresh.label --l rh.V2_exvivo.thresh.label --l rh.MT_exvivo.thresh.label --l rh.entorhinal_exvivo.thresh.label --l rh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose Reading ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt Number of ctab entries 15 $Id: mris_label2annot.c,v 1.20 2016/01/07 23:28:11 greve Exp $ cwd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label cmdline mris_label2annot --s 111 --hemi rh --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt --l rh.BA1_exvivo.thresh.label --l rh.BA2_exvivo.thresh.label --l rh.BA3a_exvivo.thresh.label --l rh.BA3b_exvivo.thresh.label --l rh.BA4a_exvivo.thresh.label --l rh.BA4p_exvivo.thresh.label --l rh.BA6_exvivo.thresh.label --l rh.BA44_exvivo.thresh.label --l rh.BA45_exvivo.thresh.label --l rh.V1_exvivo.thresh.label --l rh.V2_exvivo.thresh.label --l rh.MT_exvivo.thresh.label --l rh.entorhinal_exvivo.thresh.label --l rh.perirhinal_exvivo.thresh.label --a BA_exvivo.thresh --maxstatwinner --noverbose sysname Linux hostname compute-0-98 machine x86_64 user zkaufman subject 111 hemi rh SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 ColorTable /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt AnnotName BA_exvivo.thresh nlables 14 LabelThresh 0 0.000000 Loading /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.orig 1 1530880 BA1_exvivo 2 16749699 BA2_exvivo 3 16711680 BA3a_exvivo 4 3368703 BA3b_exvivo 5 1376196 BA4a_exvivo 6 13382655 BA4p_exvivo 7 10036737 BA6_exvivo 8 2490521 BA44_exvivo 9 39283 BA45_exvivo 10 3993 V1_exvivo 11 8508928 V2_exvivo 12 10027163 MT_exvivo 13 16422433 perirhinal_exvivo 14 16392598 entorhinal_exvivo Mapping unhit to unknown Found 113553 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/label/rh.BA_exvivo.thresh.annot @#@FSTIME 2017:01:19:21:09:56 mris_label2annot N 38 e 2.35 S 0.09 U 1.57 P 71% M 178200 F 0 R 23636 W 0 c 37 w 258 I 0 O 2152 L 5.33 5.42 5.32 @#@FSLOADPOST 2017:01:19:21:09:58 mris_label2annot N 38 5.33 5.42 5.32 mris_anatomical_stats -th3 -mgz -f ../stats/rh.BA_exvivo.stats -b -a ./rh.BA_exvivo.annot -c ./BA_exvivo.ctab 111 rh white computing statistics for each annotation in ./rh.BA_exvivo.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 238961 Total vertex volume 235286 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 1014 494 1694 2.388 0.548 0.117 0.032 12 1.2 BA1_exvivo 2911 1874 4284 2.273 0.437 0.095 0.020 19 2.0 BA2_exvivo 1068 759 1000 1.675 0.435 0.132 0.023 10 1.0 BA3a_exvivo 1853 1196 2222 1.657 0.556 0.093 0.017 12 1.3 BA3b_exvivo 1810 1032 3151 2.683 0.607 0.093 0.025 10 1.8 BA4a_exvivo 1405 902 2161 2.467 0.567 0.099 0.023 7 1.5 BA4p_exvivo 8816 5682 18627 2.740 0.603 0.112 0.026 78 9.2 BA6_exvivo 3716 2502 6874 2.503 0.445 0.115 0.023 35 3.4 BA44_exvivo 4746 3180 8115 2.239 0.510 0.131 0.032 62 6.3 BA45_exvivo 3594 2369 4823 1.862 0.518 0.133 0.034 48 4.7 V1_exvivo 8421 5540 11929 2.010 0.524 0.140 0.033 114 11.4 V2_exvivo 2219 1520 3925 2.390 0.544 0.119 0.023 21 2.1 MT_exvivo 548 400 1983 3.134 0.899 0.127 0.019 6 0.3 perirhinal_exvivo 392 286 1049 2.719 0.777 0.165 0.048 9 1.0 entorhinal_exvivo @#@FSTIME 2017:01:19:21:09:59 mris_anatomical_stats N 12 e 36.46 S 0.35 U 34.58 P 95% M 542036 F 0 R 74587 W 0 c 144 w 256 I 0 O 136 L 5.33 5.42 5.32 @#@FSLOADPOST 2017:01:19:21:10:35 mris_anatomical_stats N 12 5.38 5.42 5.32 mris_anatomical_stats -th3 -mgz -f ../stats/rh.BA_exvivo.thresh.stats -b -a ./rh.BA_exvivo.thresh.annot -c ./BA_exvivo.thresh.ctab 111 rh white computing statistics for each annotation in ./rh.BA_exvivo.thresh.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/111/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 238961 Total vertex volume 235286 (mask=0) reading colortable from annotation file... colortable with 15 entries read (originally /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/average/colortable_BA.txt) Saving annotation colortable ./BA_exvivo.thresh.ctab table columns are: number of vertices total surface area (mm^2) total gray matter volume (mm^3) average cortical thickness +- standard deviation (mm) integrated rectified mean curvature integrated rectified Gaussian curvature folding index intrinsic curvature index structure name atlas_icv (eTIV) = 1558890 mm^3 (det: 1.249675 ) lhCtxGM: 233543.372 233476.000 diff= 67.4 pctdiff= 0.029 rhCtxGM: 234362.162 233841.000 diff= 521.2 pctdiff= 0.222 lhCtxWM: 234436.818 235902.000 diff=-1465.2 pctdiff=-0.625 rhCtxWM: 236064.881 235473.000 diff= 591.9 pctdiff= 0.251 SubCortGMVol 52518.000 SupraTentVol 1054231.232 (1051665.000) diff=2566.232 pctdiff=0.243 SupraTentVolNotVent 993921.232 (991355.000) diff=2566.232 pctdiff=0.258 BrainSegVol 1196115.000 (1191685.000) diff=4430.000 pctdiff=0.370 BrainSegVolNotVent 1130322.000 (1129809.232) diff=512.768 pctdiff=0.045 BrainSegVolNotVent 1130322.000 CerebellumVol 138739.000 VentChorVol 60310.000 3rd4th5thCSF 5483.000 CSFVol 1053.000, OptChiasmVol 228.000 MaskVol 1576132.000 730 337 1067 2.207 0.563 0.113 0.031 8 0.9 BA1_exvivo 1672 1071 2570 2.295 0.419 0.080 0.015 7 0.9 BA2_exvivo 980 687 845 1.656 0.400 0.138 0.024 9 1.0 BA3a_exvivo 1450 968 1384 1.431 0.303 0.079 0.012 6 0.7 BA3b_exvivo 1155 608 2098 2.788 0.565 0.101 0.028 9 1.3 BA4a_exvivo 1121 731 1740 2.505 0.609 0.102 0.026 6 1.4 BA4p_exvivo 5720 3692 12254 2.767 0.648 0.112 0.025 47 5.5 BA6_exvivo 937 639 1931 2.489 0.399 0.121 0.021 11 0.8 BA44_exvivo 1179 772 2429 2.518 0.425 0.152 0.040 21 2.0 BA45_exvivo 3430 2253 4442 1.834 0.514 0.130 0.032 44 4.4 V1_exvivo 4374 2900 6146 1.940 0.535 0.148 0.038 64 6.7 V2_exvivo 350 216 728 2.673 0.459 0.100 0.019 3 0.3 MT_exvivo 310 215 966 3.021 0.778 0.092 0.013 2 0.1 perirhinal_exvivo 264 206 486 2.366 0.791 0.158 0.038 4 0.6 entorhinal_exvivo @#@FSTIME 2017:01:19:21:10:35 mris_anatomical_stats N 12 e 30.24 S 0.34 U 29.16 P 97% M 542036 F 0 R 74123 W 0 c 109 w 255 I 0 O 136 L 5.38 5.42 5.32 @#@FSLOADPOST 2017:01:19:21:11:05 mris_anatomical_stats N 12 5.21 5.37 5.31 Started at Thu Jan 19 03:20:15 EST 2017 Ended at Thu Jan 19 21:11:06 EST 2017 #@#%# recon-all-run-time-hours 17.847 recon-all -s 111 finished without error at Thu Jan 19 21:11:06 EST 2017 New invocation of recon-all Mon Feb 27 23:28:47 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111 /usr/local/freesurfer/stable6_0_0/bin/recon-all -s 111 -qcache subjid 111 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial FREESURFER_HOME /usr/local/freesurfer/stable6_0_0 Actual FREESURFER_HOME /autofs/cluster/freesurfer/centos6_x86_64/stable6_0_0 build-stamp.txt: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux cputime unlimited filesize unlimited datasize unlimited stacksize 10240 kbytes coredumpsize 0 kbytes memoryuse unlimited vmemoryuse 7340032 kbytes descriptors 32768 memorylocked unlimited maxproc 128314 total used free shared buffers cached Mem: 32877136 14231536 18645600 168 213468 7360636 -/+ buffers/cache: 6657432 26219704 Swap: 67108860 20872 67087988 pbsjob 13634256.launchpad.nmr.mgh.harvard.edu ######################################## program versions used $Id: recon-all,v 1.580.2.16 2017/01/18 14:11:24 zkaufman Exp $ $Id: mri_motion_correct.fsl,v 1.15 2016/02/16 17:17:20 zkaufman Exp $ mri_convert.bin -all-info ProgramName: mri_convert.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_convert.c,v 1.226 2016/02/26 16:15:24 mreuter Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 FLIRT version 5.5 $Id: talairach_avi,v 1.13 2015/12/23 04:25:17 greve Exp $ mri_convert.bin --version stable6 ProgramName: tkregister2_cmdl ProgramArguments: --all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: tkregister2.c,v 1.132.2.1 2016/08/02 21:17:29 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 ProgramName: mri_make_uchar ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_make_uchar.c,v 1.4 2011/03/02 00:04:14 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize.c,v 1.88.2.3 2016/12/27 16:47:13 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_watershed.cpp,v 1.103 2016/06/17 18:00:49 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_gcut ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_gcut.cpp,v 1.14 2011/03/02 00:04:16 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segment.c,v 1.43.2.1 2016/10/27 22:24:52 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_label2label.bin ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_label2label.c,v 1.48.2.2 2016/12/12 14:15:26 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_em_register.c,v 1.105.2.1 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_normalize.c,v 1.67.2.2 2016/10/27 22:25:09 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:48-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_register.c,v 1.96.2.3 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_ca_label.c,v 1.113.2.2 2016/10/27 22:25:10 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_pretess ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_pretess.c,v 1.22 2013/08/30 18:12:25 mreuter Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fill.c,v 1.119 2011/10/25 14:09:58 fischl Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_tessellate.c,v 1.38.2.1 2016/07/26 18:46:38 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_concatenate_lta.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_concatenate_lta.c,v 1.16 2015/11/21 00:06:20 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize_tp2 ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_normalize_tp2.c,v 1.8 2011/03/02 00:04:23 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_smooth.c,v 1.30 2014/01/21 18:48:21 fischl Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_inflate.c,v 1.45 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature.c,v 1.31 2011/03/02 00:04:30 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_sphere.c,v 1.61 2016/01/20 23:42:15 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_fix_topology.c,v 1.50.2.1 2016/10/27 22:25:58 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_topo_fixer ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_topo_fixer.cpp,v 1.29 2011/03/02 00:04:34 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_ca_label.c,v 1.37 2014/02/04 17:46:42 fischl Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_euler_number.c,v 1.10 2013/01/14 22:39:14 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_make_surfaces.c,v 1.164.2.4 2016/12/13 22:26:32 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_register.c,v 1.63 2016/01/20 23:43:04 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_volmask ProgramArguments: --all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_volmask.cpp,v 1.26.2.2 2016/11/18 20:05:18 zkaufman Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_anatomical_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_anatomical_stats.c,v 1.79 2016/03/14 15:15:34 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mrisp_paint.c,v 1.12 2016/03/22 14:47:57 fischl Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_curvature_stats.c,v 1.65 2015/06/04 20:50:51 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_calc ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:49-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mris_calc.c,v 1.54.2.1 2016/09/27 18:51:28 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ ProgramName: mri_robust_register.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_register.cpp,v 1.77 2016/01/20 23:36:17 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ ProgramName: mri_robust_template ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_robust_template.cpp,v 1.54 2016/05/05 21:17:08 mreuter Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_and ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_and.c,v 1.4 2011/03/02 00:04:13 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_or ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_or.c,v 1.5 2013/03/20 15:03:29 lzollei Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fuse_segmentations ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_fuse_segmentations.c,v 1.8 2011/03/02 00:04:15 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segstats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_relabel_hypointensities ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-04:28:50-GMT BuildTimeStamp: Jan 18 2017 16:38:58 CVS: $Id: mri_relabel_hypointensities.c,v 1.13 2015/05/15 18:44:10 nicks Exp $ User: zkaufman Machine: compute-0-88 Platform: Linux PlatformVersion: 2.6.32-642.3.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ####################################### GCADIR /usr/local/freesurfer/stable6_0_0/average GCA RB_all_2016-05-10.vc700.gca GCASkull RB_all_withskull_2016-05-10.vc700.gca AvgCurvTif folding.atlas.acfb40.noaparc.i12.2016-08-02.tif GCSDIR /usr/local/freesurfer/stable6_0_0/average GCS DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ####################################### #-------------------------------------------- #@# Qdec Cache preproc lh thickness fsaverage Mon Feb 27 23:28:50 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas thickness --target fsaverage --out lh.thickness.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.4702 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.thickness.fsaverage.mris_preproc.log Mon Feb 27 23:28:50 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas thickness --target fsaverage --out lh.thickness.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.4702 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:28:51 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4702/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.thickness --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4702/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.thickness --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.thickness srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4702/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.thickness Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4702/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4702/111.1.mgh --o lh.thickness.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.thickness.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.4702 Mon Feb 27 23:29:02 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh area fsaverage Mon Feb 27 23:29:02 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas area --target fsaverage --out lh.area.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.4835 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.area.fsaverage.mris_preproc.log Mon Feb 27 23:29:02 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas area --target fsaverage --out lh.area.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.4835 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:29:02 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4835/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4835/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4835/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (136995) Reverse Loop had 22089 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4835/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4835/111.1.mgh --o lh.area.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.area.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.4835 Mon Feb 27 23:29:16 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh area.pial fsaverage Mon Feb 27 23:29:16 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas area.pial --target fsaverage --out lh.area.pial.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.4964 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.area.pial.fsaverage.mris_preproc.log Mon Feb 27 23:29:17 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas area.pial --target fsaverage --out lh.area.pial.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.4964 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:29:17 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4964/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area.pial --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4964/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area.pial --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area.pial srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4964/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.area.pial Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (136995) Reverse Loop had 22089 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4964/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4964/111.1.mgh --o lh.area.pial.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.area.pial.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.4964 Mon Feb 27 23:29:31 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh volume fsaverage Mon Feb 27 23:29:31 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas volume --target fsaverage --out lh.volume.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.5106 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.volume.fsaverage.mris_preproc.log Mon Feb 27 23:29:32 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas volume --target fsaverage --out lh.volume.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.5106 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:29:32 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5106/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.volume --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5106/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.volume --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.volume srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5106/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.volume Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (136995) Reverse Loop had 22089 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5106/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5106/111.1.mgh --o lh.volume.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.volume.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.5106 Mon Feb 27 23:29:44 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh curv fsaverage Mon Feb 27 23:29:44 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas curv --target fsaverage --out lh.curv.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5250 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.curv.fsaverage.mris_preproc.log Mon Feb 27 23:29:45 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas curv --target fsaverage --out lh.curv.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.5250 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:29:45 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5250/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.curv --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5250/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.curv --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.curv srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5250/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.curv Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5250/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5250/111.1.mgh --o lh.curv.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.curv.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.5250 Mon Feb 27 23:29:57 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh sulc fsaverage Mon Feb 27 23:29:57 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas sulc --target fsaverage --out lh.sulc.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5379 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.sulc.fsaverage.mris_preproc.log Mon Feb 27 23:29:57 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas sulc --target fsaverage --out lh.sulc.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.5379 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:29:58 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5379/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sulc --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5379/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sulc --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sulc srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5379/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sulc Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5379/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5379/111.1.mgh --o lh.sulc.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.sulc.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.5379 Mon Feb 27 23:30:08 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh white.K fsaverage Mon Feb 27 23:30:08 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas white.K --target fsaverage --out lh.white.K.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5511 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.white.K.fsaverage.mris_preproc.log Mon Feb 27 23:30:08 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas white.K --target fsaverage --out lh.white.K.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.5511 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:30:08 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5511/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.K --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5511/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.K --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.K srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5511/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.K Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5511/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5511/111.1.mgh --o lh.white.K.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.white.K.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.5511 Mon Feb 27 23:30:19 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh white.H fsaverage Mon Feb 27 23:30:19 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas white.H --target fsaverage --out lh.white.H.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5744 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.white.H.fsaverage.mris_preproc.log Mon Feb 27 23:30:20 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas white.H --target fsaverage --out lh.white.H.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.5744 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:30:20 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5744/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.H --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5744/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.H --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.H srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5744/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.white.H Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5744/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5744/111.1.mgh --o lh.white.H.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.white.H.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.5744 Mon Feb 27 23:30:30 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh jacobian_white fsaverage Mon Feb 27 23:30:30 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas jacobian_white --target fsaverage --out lh.jacobian_white.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5872 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.jacobian_white.fsaverage.mris_preproc.log Mon Feb 27 23:30:30 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas jacobian_white --target fsaverage --out lh.jacobian_white.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.5872 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:30:31 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5872/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.jacobian_white --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5872/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.jacobian_white --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.jacobian_white srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5872/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.jacobian_white Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5872/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5872/111.1.mgh --o lh.jacobian_white.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.jacobian_white.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.5872 Mon Feb 27 23:30:41 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh w-g.pct.mgh fsaverage Mon Feb 27 23:30:41 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi lh --meas w-g.pct.mgh --target fsaverage --out lh.w-g.pct.mgh.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.6014 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is lh.w-g.pct.mgh.fsaverage.mris_preproc.log Mon Feb 27 23:30:42 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi lh --meas w-g.pct.mgh --target fsaverage --out lh.w-g.pct.mgh.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6014 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:30:42 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6014/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.w-g.pct.mgh --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6014/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.w-g.pct.mgh --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.w-g.pct.mgh srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6014/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/lh.w-g.pct.mgh Reading source subject label mask lh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (136995) Reverse Loop had 22089 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146743, nTrgMulti = 17099, MnTrgMultiHits = 2.29183 nSrc121 = 98473, nSrcLost = 0, nSrcMulti = 38522, MnSrcMultiHits = 2.27034 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6014/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6014/111.1.mgh --o lh.w-g.pct.mgh.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to lh.w-g.pct.mgh.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6014 Mon Feb 27 23:30:52 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh thickness fsaverage Mon Feb 27 23:30:52 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas thickness --target fsaverage --out rh.thickness.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.6151 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.thickness.fsaverage.mris_preproc.log Mon Feb 27 23:30:52 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas thickness --target fsaverage --out rh.thickness.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6151 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:30:53 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6151/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.thickness --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6151/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.thickness --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.thickness srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6151/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.thickness Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6151/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6151/111.1.mgh --o rh.thickness.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.thickness.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6151 Mon Feb 27 23:31:03 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh area fsaverage Mon Feb 27 23:31:03 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas area --target fsaverage --out rh.area.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.6368 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.area.fsaverage.mris_preproc.log Mon Feb 27 23:31:04 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas area --target fsaverage --out rh.area.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6368 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:31:04 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6368/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6368/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6368/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (137225) Reverse Loop had 21633 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6368/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6368/111.1.mgh --o rh.area.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.area.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6368 Mon Feb 27 23:31:17 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh area.pial fsaverage Mon Feb 27 23:31:17 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas area.pial --target fsaverage --out rh.area.pial.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.6516 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.area.pial.fsaverage.mris_preproc.log Mon Feb 27 23:31:18 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas area.pial --target fsaverage --out rh.area.pial.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6516 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:31:18 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6516/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area.pial --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6516/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area.pial --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area.pial srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6516/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.area.pial Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (137225) Reverse Loop had 21633 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6516/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6516/111.1.mgh --o rh.area.pial.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.area.pial.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6516 Mon Feb 27 23:31:31 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh volume fsaverage Mon Feb 27 23:31:32 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas volume --target fsaverage --out rh.volume.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.6657 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.volume.fsaverage.mris_preproc.log Mon Feb 27 23:31:32 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas volume --target fsaverage --out rh.volume.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6657 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:31:32 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6657/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.volume --jac --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6657/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.volume --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.volume srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6657/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.volume Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface with Jacobian Correction surf2surf_nnfr_jac: building source hash (res=16). Surf2SurfJac: 1st Forward Loop (163842) Surf2SurfJac: 2nd Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2SurfJac: Reverse Loop (137225) Reverse Loop had 21633 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6657/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6657/111.1.mgh --o rh.volume.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.volume.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6657 Mon Feb 27 23:31:46 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh curv fsaverage Mon Feb 27 23:31:46 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas curv --target fsaverage --out rh.curv.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.6786 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.curv.fsaverage.mris_preproc.log Mon Feb 27 23:31:46 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas curv --target fsaverage --out rh.curv.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6786 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:31:47 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6786/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.curv --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6786/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.curv --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.curv srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6786/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.curv Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6786/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6786/111.1.mgh --o rh.curv.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.curv.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6786 Mon Feb 27 23:31:58 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh sulc fsaverage Mon Feb 27 23:31:58 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas sulc --target fsaverage --out rh.sulc.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.6914 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.sulc.fsaverage.mris_preproc.log Mon Feb 27 23:31:58 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas sulc --target fsaverage --out rh.sulc.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.6914 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:31:59 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6914/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sulc --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6914/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sulc --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sulc srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6914/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sulc Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6914/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6914/111.1.mgh --o rh.sulc.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.sulc.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.6914 Mon Feb 27 23:32:09 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh white.K fsaverage Mon Feb 27 23:32:09 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas white.K --target fsaverage --out rh.white.K.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.7043 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.white.K.fsaverage.mris_preproc.log Mon Feb 27 23:32:10 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas white.K --target fsaverage --out rh.white.K.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.7043 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:32:10 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7043/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.K --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7043/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.K --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.K srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.7043/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.K Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.7043/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.7043/111.1.mgh --o rh.white.K.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.white.K.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.7043 Mon Feb 27 23:32:21 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh white.H fsaverage Mon Feb 27 23:32:21 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas white.H --target fsaverage --out rh.white.H.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.7187 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.white.H.fsaverage.mris_preproc.log Mon Feb 27 23:32:22 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas white.H --target fsaverage --out rh.white.H.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.7187 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:32:22 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7187/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.H --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7187/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.H --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.H srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.7187/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.white.H Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.7187/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.7187/111.1.mgh --o rh.white.H.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.white.H.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.7187 Mon Feb 27 23:32:34 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh jacobian_white fsaverage Mon Feb 27 23:32:34 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas jacobian_white --target fsaverage --out rh.jacobian_white.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.7317 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.jacobian_white.fsaverage.mris_preproc.log Mon Feb 27 23:32:34 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas jacobian_white --target fsaverage --out rh.jacobian_white.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.7317 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:32:34 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7317/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.jacobian_white --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7317/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.jacobian_white --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.jacobian_white srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.7317/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.jacobian_white Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.7317/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.7317/111.1.mgh --o rh.jacobian_white.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.jacobian_white.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.7317 Mon Feb 27 23:32:45 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh w-g.pct.mgh fsaverage Mon Feb 27 23:32:45 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mris_preproc --s 111 --hemi rh --meas w-g.pct.mgh --target fsaverage --out rh.w-g.pct.mgh.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.7483 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf Log file is rh.w-g.pct.mgh.fsaverage.mris_preproc.log Mon Feb 27 23:32:45 EST 2017 setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 111 --hemi rh --meas w-g.pct.mgh --target fsaverage --out rh.w-g.pct.mgh.fsaverage.mgh Linux compute-0-88 2.6.32-642.3.1.el6.x86_64 #1 SMP Tue Jul 12 18:30:56 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux $Id: mris_preproc,v 1.76.2.1 2016/08/12 17:55:45 zkaufman Exp $ freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c tmpdir is ./tmp.mris_preproc.7483 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 111 Mon Feb 27 23:32:46 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7483/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.w-g.pct.mgh --sfmt curv --noreshape --cortex Source registration surface changed to sphere.reg Target registration surface changed to sphere.reg $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --srcsubject 111 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.7483/111.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.w-g.pct.mgh --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = 111 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.w-g.pct.mgh srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.7483/111.1.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.sphere.reg Loading source data Reading curvature file /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf/rh.w-g.pct.mgh Reading source subject label mask rh.cortex.label masking the input Reading target surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Done Using surf2surf_nnfr() Mapping Source Volume onto Source Subject Surface surf2surf_nnfr: building source hash (res=16). Surf2Surf: Forward Loop (163842) surf2surf_nnfr: building target hash (res=16). Surf2Surf: Reverse Loop (137225) Reverse Loop had 21633 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 146943, nTrgMulti = 16899, MnTrgMultiHits = 2.28013 nSrc121 = 99157, nSrcLost = 0, nSrcMulti = 38068, MnSrcMultiHits = 2.26747 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.7483/111.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.7483/111.1.mgh --o rh.w-g.pct.mgh.fsaverage.mgh ninputs = 1 Checking inputs nframestot = 1 Allocing output Done allocing nframes = 1 Writing to rh.w-g.pct.mgh.fsaverage.mgh Cleaning up ----------------------- rm -r ./tmp.mris_preproc.7483 Mon Feb 27 23:32:56 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm0 fsaverage Mon Feb 27 23:32:57 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.thickness.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm5 fsaverage Mon Feb 27 23:33:02 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.thickness.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm10 fsaverage Mon Feb 27 23:33:13 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.thickness.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm15 fsaverage Mon Feb 27 23:33:23 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.thickness.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm20 fsaverage Mon Feb 27 23:33:35 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.thickness.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm25 fsaverage Mon Feb 27 23:33:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.thickness.fsaverage.mgh --tval lh.thickness.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.thickness.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.thickness.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm0 fsaverage Mon Feb 27 23:33:58 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.area.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm5 fsaverage Mon Feb 27 23:34:03 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.area.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm10 fsaverage Mon Feb 27 23:34:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.area.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm15 fsaverage Mon Feb 27 23:34:23 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.area.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm20 fsaverage Mon Feb 27 23:34:34 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.area.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area fwhm25 fsaverage Mon Feb 27 23:34:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.fsaverage.mgh --tval lh.area.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.area.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm0 fsaverage Mon Feb 27 23:35:00 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.area.pial.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm5 fsaverage Mon Feb 27 23:35:05 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.area.pial.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm10 fsaverage Mon Feb 27 23:35:15 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.area.pial.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm15 fsaverage Mon Feb 27 23:35:24 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.area.pial.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm20 fsaverage Mon Feb 27 23:35:36 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.area.pial.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh area.pial fwhm25 fsaverage Mon Feb 27 23:35:48 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.area.pial.fsaverage.mgh --tval lh.area.pial.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.area.pial.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.area.pial.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm0 fsaverage Mon Feb 27 23:35:59 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.volume.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm5 fsaverage Mon Feb 27 23:36:04 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.volume.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm10 fsaverage Mon Feb 27 23:36:13 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.volume.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm15 fsaverage Mon Feb 27 23:36:23 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.volume.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm20 fsaverage Mon Feb 27 23:36:33 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.volume.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh volume fwhm25 fsaverage Mon Feb 27 23:36:44 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.volume.fsaverage.mgh --tval lh.volume.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.volume.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.volume.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm0 fsaverage Mon Feb 27 23:36:58 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.curv.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm5 fsaverage Mon Feb 27 23:37:02 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.curv.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm10 fsaverage Mon Feb 27 23:37:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.curv.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm15 fsaverage Mon Feb 27 23:37:22 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.curv.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm20 fsaverage Mon Feb 27 23:37:32 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.curv.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh curv fwhm25 fsaverage Mon Feb 27 23:37:43 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.curv.fsaverage.mgh --tval lh.curv.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.curv.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.curv.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm0 fsaverage Mon Feb 27 23:37:57 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.sulc.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm5 fsaverage Mon Feb 27 23:38:03 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.sulc.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm10 fsaverage Mon Feb 27 23:38:13 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.sulc.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm15 fsaverage Mon Feb 27 23:38:23 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.sulc.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm20 fsaverage Mon Feb 27 23:38:35 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.sulc.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh sulc fwhm25 fsaverage Mon Feb 27 23:38:47 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.sulc.fsaverage.mgh --tval lh.sulc.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.sulc.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.sulc.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm0 fsaverage Mon Feb 27 23:39:02 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.white.K.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm5 fsaverage Mon Feb 27 23:39:08 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.white.K.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm10 fsaverage Mon Feb 27 23:39:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.white.K.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm15 fsaverage Mon Feb 27 23:39:30 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.white.K.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm20 fsaverage Mon Feb 27 23:39:42 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.white.K.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.K fwhm25 fsaverage Mon Feb 27 23:39:54 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.K.fsaverage.mgh --tval lh.white.K.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.K.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.white.K.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm0 fsaverage Mon Feb 27 23:40:07 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.white.H.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm5 fsaverage Mon Feb 27 23:40:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.white.H.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm10 fsaverage Mon Feb 27 23:40:22 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.white.H.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm15 fsaverage Mon Feb 27 23:40:33 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.white.H.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm20 fsaverage Mon Feb 27 23:40:45 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.white.H.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh white.H fwhm25 fsaverage Mon Feb 27 23:40:58 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.white.H.fsaverage.mgh --tval lh.white.H.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.white.H.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.white.H.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm0 fsaverage Mon Feb 27 23:41:10 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.jacobian_white.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm5 fsaverage Mon Feb 27 23:41:15 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.jacobian_white.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm10 fsaverage Mon Feb 27 23:41:26 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.jacobian_white.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm15 fsaverage Mon Feb 27 23:41:36 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.jacobian_white.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm20 fsaverage Mon Feb 27 23:41:48 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.jacobian_white.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh jacobian_white fwhm25 fsaverage Mon Feb 27 23:42:00 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.jacobian_white.fsaverage.mgh --tval lh.jacobian_white.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.jacobian_white.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.jacobian_white.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm0 fsaverage Mon Feb 27 23:42:15 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 0 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label lh.cortex.label masking the input Saving target data Saving to lh.w-g.pct.mgh.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm5 fsaverage Mon Feb 27 23:42:20 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 5 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to lh.w-g.pct.mgh.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm10 fsaverage Mon Feb 27 23:42:30 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 10 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to lh.w-g.pct.mgh.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm15 fsaverage Mon Feb 27 23:42:41 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 15 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 165 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 165 Saving target data Saving to lh.w-g.pct.mgh.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm20 fsaverage Mon Feb 27 23:42:53 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 20 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to lh.w-g.pct.mgh.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf lh w-g.pct.mgh fwhm25 fsaverage Mon Feb 27 23:43:04 EST 2017 mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi lh --fwhm 25 --sval lh.w-g.pct.mgh.fsaverage.mgh --tval lh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = lh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = lh.w-g.pct.mgh.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = lh trghemi = lh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = lh.cortex.label label-trg = lh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/lh.sphere.reg Loading source data Reading source subject label mask lh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label lh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to lh.w-g.pct.mgh.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm0 fsaverage Mon Feb 27 23:43:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.thickness.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm5 fsaverage Mon Feb 27 23:43:22 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.thickness.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm10 fsaverage Mon Feb 27 23:43:32 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.thickness.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm15 fsaverage Mon Feb 27 23:43:42 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.thickness.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm20 fsaverage Mon Feb 27 23:43:53 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.thickness.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh thickness fwhm25 fsaverage Mon Feb 27 23:44:04 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.thickness.fsaverage.mgh --tval rh.thickness.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.thickness.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.thickness.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.thickness.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm0 fsaverage Mon Feb 27 23:44:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.area.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm5 fsaverage Mon Feb 27 23:44:22 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.area.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm10 fsaverage Mon Feb 27 23:44:32 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.area.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm15 fsaverage Mon Feb 27 23:44:42 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.area.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm20 fsaverage Mon Feb 27 23:44:54 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.area.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area fwhm25 fsaverage Mon Feb 27 23:45:06 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.fsaverage.mgh --tval rh.area.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.area.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm0 fsaverage Mon Feb 27 23:45:20 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.area.pial.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm5 fsaverage Mon Feb 27 23:45:26 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.area.pial.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm10 fsaverage Mon Feb 27 23:45:36 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.area.pial.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm15 fsaverage Mon Feb 27 23:45:48 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.area.pial.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm20 fsaverage Mon Feb 27 23:46:00 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.area.pial.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh area.pial fwhm25 fsaverage Mon Feb 27 23:46:13 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.area.pial.fsaverage.mgh --tval rh.area.pial.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.area.pial.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.area.pial.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.area.pial.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm0 fsaverage Mon Feb 27 23:46:27 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.volume.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm5 fsaverage Mon Feb 27 23:46:33 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.volume.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm10 fsaverage Mon Feb 27 23:46:43 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.volume.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm15 fsaverage Mon Feb 27 23:46:54 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.volume.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm20 fsaverage Mon Feb 27 23:47:06 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.volume.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh volume fwhm25 fsaverage Mon Feb 27 23:47:21 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.volume.fsaverage.mgh --tval rh.volume.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.volume.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.volume.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.volume.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm0 fsaverage Mon Feb 27 23:47:36 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.curv.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm5 fsaverage Mon Feb 27 23:47:42 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.curv.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm10 fsaverage Mon Feb 27 23:47:53 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.curv.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm15 fsaverage Mon Feb 27 23:48:05 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.curv.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm20 fsaverage Mon Feb 27 23:48:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.curv.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh curv fwhm25 fsaverage Mon Feb 27 23:48:31 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.curv.fsaverage.mgh --tval rh.curv.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.curv.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.curv.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.curv.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm0 fsaverage Mon Feb 27 23:48:46 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.sulc.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm5 fsaverage Mon Feb 27 23:48:51 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.sulc.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm10 fsaverage Mon Feb 27 23:49:03 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.sulc.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm15 fsaverage Mon Feb 27 23:49:14 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.sulc.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm20 fsaverage Mon Feb 27 23:49:27 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.sulc.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh sulc fwhm25 fsaverage Mon Feb 27 23:49:40 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.sulc.fsaverage.mgh --tval rh.sulc.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.sulc.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.sulc.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.sulc.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm0 fsaverage Mon Feb 27 23:49:54 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.white.K.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm5 fsaverage Mon Feb 27 23:49:59 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.white.K.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm10 fsaverage Mon Feb 27 23:50:10 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.white.K.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm15 fsaverage Mon Feb 27 23:50:20 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.white.K.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm20 fsaverage Mon Feb 27 23:50:32 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.white.K.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.K fwhm25 fsaverage Mon Feb 27 23:50:47 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.K.fsaverage.mgh --tval rh.white.K.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.K.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.K.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.white.K.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm0 fsaverage Mon Feb 27 23:51:01 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.white.H.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm5 fsaverage Mon Feb 27 23:51:07 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.white.H.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm10 fsaverage Mon Feb 27 23:51:18 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.white.H.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm15 fsaverage Mon Feb 27 23:51:31 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.white.H.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm20 fsaverage Mon Feb 27 23:51:44 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.white.H.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh white.H fwhm25 fsaverage Mon Feb 27 23:51:58 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.white.H.fsaverage.mgh --tval rh.white.H.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.white.H.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.white.H.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.white.H.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm0 fsaverage Mon Feb 27 23:52:12 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.jacobian_white.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm5 fsaverage Mon Feb 27 23:52:17 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.jacobian_white.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm10 fsaverage Mon Feb 27 23:52:29 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.jacobian_white.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm15 fsaverage Mon Feb 27 23:52:40 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.jacobian_white.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm20 fsaverage Mon Feb 27 23:52:52 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.jacobian_white.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh jacobian_white fwhm25 fsaverage Mon Feb 27 23:53:04 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.jacobian_white.fsaverage.mgh --tval rh.jacobian_white.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.jacobian_white.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.jacobian_white.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.jacobian_white.fwhm25.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm0 fsaverage Mon Feb 27 23:53:18 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 0 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm0.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm0.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 0 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Reading target space mask label rh.cortex.label masking the input Saving target data Saving to rh.w-g.pct.mgh.fwhm0.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm5 fsaverage Mon Feb 27 23:53:23 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 5 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm5.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm5.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 5 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 5.000000, std = 2.123305, with 18 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 18 Saving target data Saving to rh.w-g.pct.mgh.fwhm5.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm10 fsaverage Mon Feb 27 23:53:34 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 10 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm10.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm10.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 10 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 10.000000, std = 4.246609, with 74 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 74 Saving target data Saving to rh.w-g.pct.mgh.fwhm10.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm15 fsaverage Mon Feb 27 23:53:45 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 15 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm15.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm15.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 15 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 15.000000, std = 6.369914, with 166 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 166 Saving target data Saving to rh.w-g.pct.mgh.fwhm15.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm20 fsaverage Mon Feb 27 23:53:57 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 20 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm20.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm20.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 20 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 20.000000, std = 8.493218, with 294 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 294 Saving target data Saving to rh.w-g.pct.mgh.fwhm20.fsaverage.mgh #-------------------------------------------- #@# Qdec Cache surf2surf rh w-g.pct.mgh fwhm25 fsaverage Mon Feb 27 23:54:10 EST 2017 mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex $Id: mri_surf2surf.c,v 1.103 2015/11/05 22:07:33 greve Exp $ setenv SUBJECTS_DIR /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial cd /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/111/surf mri_surf2surf --prune --s fsaverage --hemi rh --fwhm 25 --sval rh.w-g.pct.mgh.fsaverage.mgh --tval rh.w-g.pct.mgh.fwhm25.fsaverage.mgh --cortex sysname Linux hostname compute-0-88 machine x86_64 user zkaufman srcsubject = fsaverage srcval = rh.w-g.pct.mgh.fsaverage.mgh srctype = trgsubject = fsaverage trgval = rh.w-g.pct.mgh.fwhm25.fsaverage.mgh trgtype = srcsurfreg = sphere.reg trgsurfreg = sphere.reg srchemi = rh trghemi = rh frame = 0 fwhm-in = 0 fwhm-out = 25 label-src = rh.cortex.label label-trg = rh.cortex.label OKToRevFaceOrder = 1 UseDualHemi = 0 Reading source surface reg /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/fsaverage/surf/rh.sphere.reg Loading source data Reading source subject label mask rh.cortex.label masking the input INFO: trgsubject = srcsubject Approximating gaussian smoothing of target with fwhm = 25.000000, std = 10.616523, with 460 iterations of nearest-neighbor smoothing Reading target space mask label rh.cortex.label Pruning output smoothing mask by thr: 1.175494e-38 NN smoothing output with n = 460 Saving target data Saving to rh.w-g.pct.mgh.fwhm25.fsaverage.mgh Started at Mon Feb 27 23:28:47 EST 2017 Ended at Mon Feb 27 23:54:29 EST 2017 #@#%# recon-all-run-time-hours 0.428 recon-all -s 111 finished without error at Mon Feb 27 23:54:29 EST 2017