Thu Jan 19 03:19:14 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/recon-all -s 039 -all subjid 039 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-0-94 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 13877468 18999668 4 154176 7554344 -/+ buffers/cache: 6168948 26708188 Swap: 67108860 47132 67061728 pbsjob 13435920.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: 2017/01/19-08:19:15-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-0-94 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: 2017/01/19-08:19:15-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:24-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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: 2017/01/19-08:19:25-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-0-94 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 03:19:26 EST 2017 Found 4 runs /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/003.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039 mri_robust_template --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/003.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/006.mgz --average 1 --template /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/rawavg.mgz --satit --inittp 1 --fixtp --noit --iscale --iscaleout /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/003-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005-iscale.txt /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/006-iscale.txt --subsample 200 --lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/003.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005.lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/mri/orig/003.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005.mgz as movable/source volume. --mov: Using /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/mri/orig/003.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/003.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/004.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/005.mgz' to bspline ... MRItoBSpline degree 3 reading source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/006.mgz'... converting source '/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/mri/orig/004.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/mri/orig/005.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/mri/orig/006.mgz ) to TP 1 ( /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig/003.mgz ) - Max Resolution used: 2 -- gpS ( 64 , 64 , 64 ) -- gpT ( 64 , 64 , 64 ) - running loop to estimate saturation parameter: mapping movs and creating initial template... allow intensity scaling using median Writing final template: /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 45 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 2017:01:19:03:19:27 mri_robust_template N 27 e 285.02 S 9.98 U 274.22 P 99% M 1124984 F 1 R 3675827 W 0 c 1063 w 222 I 600 O 8128 L 5.76 5.39 4.74 @#@FSLOADPOST 2017:01:19:03:24:12 mri_robust_template N 27 6.76 6.23 5.26 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 mri_convert /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/rawavg.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig.mgz --conform mri_convert.bin /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/rawavg.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/mri/orig.mgz... @#@FSTIME 2017:01:19:03:24:12 mri_convert N 3 e 2.17 S 0.02 U 1.73 P 81% M 21472 F 0 R 6228 W 0 c 138 w 160 I 0 O 8064 L 6.76 6.23 5.26 @#@FSLOADPOST 2017:01:19:03:24:15 mri_convert N 3 6.76 6.23 5.26 mri_add_xform_to_header -c /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/transforms/talairach.xfm /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig.mgz /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/orig.mgz INFO: extension is mgz @#@FSTIME 2017:01:19:03:24:15 mri_add_xform_to_header N 4 e 2.17 S 0.02 U 1.81 P 84% M 21004 F 0 R 5339 W 0 c 135 w 147 I 0 O 8064 L 6.76 6.23 5.26 @#@FSLOADPOST 2017:01:19:03:24:17 mri_add_xform_to_header N 4 6.78 6.24 5.27 #-------------------------------------------- #@# Talairach Thu Jan 19 03:24:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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-0-94 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 03:24:17 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.14056 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_convert orig.mgz ./tmp.mri_nu_correct.mni.14056/nu0.mnc -odt float mri_convert.bin orig.mgz ./tmp.mri_nu_correct.mni.14056/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.14056/nu0.mnc... -------------------------------------------------------- Iteration 1 Thu Jan 19 03:24:24 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.14056/nu0.mnc ./tmp.mri_nu_correct.mni.14056/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.14056/0/ -iterations 1000 -distance 50 [zkaufman@compute-0-94:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/] [2017-01-19 03:24:24] 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.14056/0/ ./tmp.mri_nu_correct.mni.14056/nu0.mnc ./tmp.mri_nu_correct.mni.14056/nu1.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 29 CV of field change: 0.000996824 mri_convert ./tmp.mri_nu_correct.mni.14056/nu1.mnc orig_nu.mgz --like orig.mgz --conform mri_convert.bin ./tmp.mri_nu_correct.mni.14056/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.14056/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 03:26:35 EST 2017 mri_nu_correct.mni done @#@FSTIME 2017:01:19:03:24:17 mri_nu_correct.mni N 11 e 137.71 S 4.30 U 67.27 P 51% M 166688 F 0 R 379796 W 0 c 20912 w 30902 I 66496 O 1312512 L 6.78 6.24 5.27 @#@FSLOADPOST 2017:01:19:03:26:35 mri_nu_correct.mni N 11 6.59 6.34 5.44 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 03:26:35 EST 2017 Ended at Thu Jan 19 03:28:14 EST 2017 talairach_avi done @#@FSTIME 2017:01:19:03:26:35 talairach_avi N 4 e 98.49 S 1.79 U 71.52 P 74% M 253840 F 0 R 44626 W 0 c 4854 w 5627 I 0 O 296088 L 6.59 6.34 5.44 @#@FSLOADPOST 2017:01:19:03:28:14 talairach_avi N 4 6.28 6.32 5.52 cp transforms/talairach.auto.xfm transforms/talairach.xfm #-------------------------------------------- #@# Talairach Failure Detection Thu Jan 19 03:28:16 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri talairach_afd -T 0.005 -xfm transforms/talairach.xfm talairach_afd: Talairach Transform: transforms/talairach.xfm OK (p=0.6075, pval=0.2817 >= threshold=0.0050) @#@FSTIME 2017:01:19:03:28:16 talairach_afd N 4 e 0.06 S 0.00 U 0.00 P 17% M 3376 F 0 R 928 W 0 c 2 w 16 I 0 O 0 L 6.10 6.28 5.51 @#@FSLOADPOST 2017:01:19:03:28:16 talairach_afd N 4 6.10 6.28 5.51 awk -f /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/bin/extract_talairach_avi_QA.awk /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/transforms/talairach_avi.log tal_QC_AZS /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/transforms/talairach_avi.log TalAviQA: 0.98334 z-score: 1 #-------------------------------------------- #@# Nu Intensity Correction Thu Jan 19 03:28:16 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/stable6/039/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-0-94 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 03:28:16 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.14774 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_convert orig.mgz ./tmp.mri_nu_correct.mni.14774/nu0.mnc -odt float mri_convert.bin orig.mgz ./tmp.mri_nu_correct.mni.14774/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.14774/nu0.mnc... -------------------------------------------------------- Iteration 1 Thu Jan 19 03:28:25 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.14774/nu0.mnc ./tmp.mri_nu_correct.mni.14774/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.14774/0/ [zkaufman@compute-0-94:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/] [2017-01-19 03:28:26] 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.14774/0/ ./tmp.mri_nu_correct.mni.14774/nu0.mnc ./tmp.mri_nu_correct.mni.14774/nu1.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 23 CV of field change: 0.000987021 -------------------------------------------------------- Iteration 2 Thu Jan 19 03:30:05 EST 2017 nu_correct -clobber ./tmp.mri_nu_correct.mni.14774/nu1.mnc ./tmp.mri_nu_correct.mni.14774/nu2.mnc -tmpdir ./tmp.mri_nu_correct.mni.14774/1/ [zkaufman@compute-0-94:/autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/] [2017-01-19 03:30:07] 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.14774/1/ ./tmp.mri_nu_correct.mni.14774/nu1.mnc ./tmp.mri_nu_correct.mni.14774/nu2.imp Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Processing:.................................................................Done Number of iterations: 23 CV of field change: 0.000975092 mri_binarize --i ./tmp.mri_nu_correct.mni.14774/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.14774/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/stable6/039/mri cmdline mri_binarize.bin --i ./tmp.mri_nu_correct.mni.14774/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.14774/ones.mgz sysname Linux hostname compute-0-94 machine x86_64 user zkaufman input ./tmp.mri_nu_correct.mni.14774/nu2.mnc frame 0 nErode3d 0 nErode2d 0 output ./tmp.mri_nu_correct.mni.14774/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.14774/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.14774/sum.junk --avgwf ./tmp.mri_nu_correct.mni.14774/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.14774/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.14774/sum.junk --avgwf ./tmp.mri_nu_correct.mni.14774/input.mean.dat sysname Linux hostname compute-0-94 machine x86_64 user zkaufman UseRobust 0 Loading ./tmp.mri_nu_correct.mni.14774/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.14774/input.mean.dat mri_segstats done mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.14774/ones.mgz --i ./tmp.mri_nu_correct.mni.14774/nu2.mnc --sum ./tmp.mri_nu_correct.mni.14774/sum.junk --avgwf ./tmp.mri_nu_correct.mni.14774/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.14774/ones.mgz --i ./tmp.mri_nu_correct.mni.14774/nu2.mnc --sum ./tmp.mri_nu_correct.mni.14774/sum.junk --avgwf ./tmp.mri_nu_correct.mni.14774/output.mean.dat sysname Linux hostname compute-0-94 machine x86_64 user zkaufman UseRobust 0 Loading ./tmp.mri_nu_correct.mni.14774/ones.mgz Loading ./tmp.mri_nu_correct.mni.14774/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.14774/output.mean.dat mri_segstats done mris_calc -o ./tmp.mri_nu_correct.mni.14774/nu2.mnc ./tmp.mri_nu_correct.mni.14774/nu2.mnc mul 1.04983152883691724754 Saving result to './tmp.mri_nu_correct.mni.14774/nu2.mnc' (type = MINC ) [ ok ] mri_convert ./tmp.mri_nu_correct.mni.14774/nu2.mnc nu.mgz --like orig.mgz mri_convert.bin ./tmp.mri_nu_correct.mni.14774/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.14774/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 12 seconds. mapping (10, 118) to ( 3, 110) Thu Jan 19 03:33:41 EST 2017 mri_nu_correct.mni done @#@FSTIME 2017:01:19:03:28:16 mri_nu_correct.mni N 8 e 324.49 S 8.83 U 156.00 P 50% M 612496 F 0 R 810704 W 0 c 34906 w 56755 I 107168 O 2585432 L 6.10 6.28 5.51 @#@FSLOADPOST 2017:01:19:03:33:41 mri_nu_correct.mni N 8 6.70 6.53 5.84 mri_add_xform_to_header -c /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/transforms/talairach.xfm nu.mgz nu.mgz INFO: extension is mgz @#@FSTIME 2017:01:19:03:33:41 mri_add_xform_to_header N 4 e 2.69 S 0.02 U 2.21 P 82% M 21080 F 0 R 5359 W 0 c 123 w 154 I 0 O 7616 L 6.70 6.53 5.84 @#@FSLOADPOST 2017:01:19:03:33:44 mri_add_xform_to_header N 4 6.70 6.53 5.84 #-------------------------------------------- #@# Intensity Normalization Thu Jan 19 03:33:44 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 1.10601 0.02017 -0.03341 -1.04320; -0.02854 1.00957 0.40655 10.55013; 0.03342 -0.46782 1.11212 12.40628; 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 = 15 Starting OpenSpline(): npoints = 15 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 57 (57), valley at 41 (41) csf peak at 29, setting threshold to 47 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 111 white matter peak found at 110 gm peak at 54 (54), valley at 21 (21) csf peak at 27, setting threshold to 45 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to T1.mgz 3D bias adjustment took 2 minutes and 52 seconds. @#@FSTIME 2017:01:19:03:33:44 mri_normalize N 5 e 173.42 S 0.78 U 172.10 P 99% M 552912 F 0 R 267604 W 0 c 409 w 225 I 0 O 7392 L 6.70 6.53 5.84 @#@FSLOADPOST 2017:01:19:03:36:37 mri_normalize N 5 6.48 6.53 5.95 #-------------------------------------------- #@# Skull Stripping Thu Jan 19 03:36:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_em_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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=8.0 skull bounding box = (48, 66, 15) --> (204, 255, 218) using (100, 129, 117) as brain centroid... mean wm in atlas = 108, using box (81,106,92) --> (119, 152,142) to find MRI wm before smoothing, mri peak at 107 robust fit to distribution - 107 +- 6.0 after smoothing, mri peak at 108, scaling input intensities by 1.000 scaling channel 0 by 1 initial log_p = -4.745 ************************************************ First Search limited to translation only. ************************************************ max log p = -4.436518 @ (-9.091, -27.273, -9.091) max log p = -4.389974 @ (4.545, 4.545, -4.545) max log p = -4.377291 @ (2.273, -11.364, 6.818) max log p = -4.339843 @ (1.136, 12.500, -5.682) max log p = -4.339843 @ (0.000, 0.000, 0.000) max log p = -4.339843 @ (0.000, 0.000, 0.000) Found translation: (-1.1, -21.6, -12.5): log p = -4.340 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.641, old_max_log_p =-4.340 (thresh=-4.3) 1.15000 0.00000 0.00000 -20.03811; 0.00000 1.14215 0.47309 -93.65530; 0.00000 -0.40708 0.98278 62.54745; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.641, old_max_log_p =-3.641 (thresh=-3.6) 1.15000 0.00000 0.00000 -20.03811; 0.00000 1.14215 0.47309 -93.65530; 0.00000 -0.40708 0.98278 62.54745; 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=-3.612, old_max_log_p =-3.641 (thresh=-3.6) 1.08612 0.00000 0.00000 -11.98862; 0.00000 1.16356 0.48196 -98.07710; 0.00000 -0.40708 0.98278 64.42245; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.612, old_max_log_p =-3.612 (thresh=-3.6) 1.08612 0.00000 0.00000 -11.98862; 0.00000 1.16356 0.48196 -98.07710; 0.00000 -0.40708 0.98278 64.42245; 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=-3.592, old_max_log_p =-3.612 (thresh=-3.6) 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 5 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.592, old_max_log_p =-3.592 (thresh=-3.6) 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 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 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; nsamples 3243 Quasinewton: input matrix 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 008: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.592 (old=-4.745) transform before final EM align: 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 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 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; nsamples 364799 Quasinewton: input matrix 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 010: -log(p) = 4.1 tol 0.000000 final transform: 1.08724 -0.01914 -0.00855 -9.51269; 0.01799 1.15244 0.49635 -99.73445; 0.00029 -0.42747 0.97687 67.83883; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach_with_skull.lta... mri_em_register utimesec 1166.921600 mri_em_register stimesec 1.477775 mri_em_register ru_maxrss 609756 mri_em_register ru_ixrss 0 mri_em_register ru_idrss 0 mri_em_register ru_isrss 0 mri_em_register ru_minflt 157257 mri_em_register ru_majflt 0 mri_em_register ru_nswap 0 mri_em_register ru_inblock 0 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 35 mri_em_register ru_nivcsw 6458 registration took 19 minutes and 29 seconds. @#@FSTIME 2017:01:19:03:36:38 mri_em_register N 6 e 1169.23 S 1.52 U 1166.92 P 99% M 609756 F 0 R 157262 W 0 c 6460 w 47 I 0 O 32 L 6.48 6.53 5.95 @#@FSLOADPOST 2017:01:19:03:56:07 mri_em_register N 6 6.84 6.63 6.43 mri_watershed -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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=131 z=111 r=81 first estimation of the main basin volume: 2280938 voxels Looking for seedpoints 2 found in the cerebellum 15 found in the rest of the brain global maximum in x=148, y=124, z=76, Imax=255 CSF=20, 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=8122812416 voxels, voxel volume =1.000 = 8122812416 mmm3 = 8122812.416 cm3 done. PostAnalyze...Basin Prior 51 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=126,y=143, z=100, r=9258 iterations ^^^^^^^^ couldn't find WM with original limits - expanding ^^^^^^ GLOBAL CSF_MIN=0, CSF_intensity=23, CSF_MAX=52 , nb = 44976 RIGHT_CER CSF_MIN=1, CSF_intensity=9, CSF_MAX=48 , nb = -1028219508 LEFT_CER CSF_MIN=0, CSF_intensity=9, CSF_MAX=45 , nb = -1044573907 RIGHT_BRAIN CSF_MIN=0, CSF_intensity=23, CSF_MAX=50 , nb = 1072790390 LEFT_BRAIN CSF_MIN=0, CSF_intensity=23, CSF_MAX=56 , nb = 1076302830 OTHER CSF_MIN=2, CSF_intensity=14, CSF_MAX=29 , nb = 1082184034 Problem with the least square interpolation in GM_MIN calculation. CSF_MAX TRANSITION GM_MIN GM GLOBAL before analyzing : 52, 41, 34, 57 after analyzing : 36, 41, 41, 45 RIGHT_CER before analyzing : 48, 39, 34, 57 after analyzing : 31, 39, 39, 43 LEFT_CER before analyzing : 45, 38, 34, 57 after analyzing : 30, 38, 38, 42 RIGHT_BRAIN before analyzing : 50, 41, 34, 57 after analyzing : 36, 41, 41, 45 LEFT_BRAIN before analyzing : 56, 42, 33, 58 after analyzing : 37, 42, 42, 46 OTHER before analyzing : 29, 59, 84, 96 after analyzing : 29, 75, 84, 80 mri_strip_skull: done peeling brain highly tesselated surface with 10242 vertices matching...73 iterations *********************VALIDATION********************* curvature mean = -0.013, std = 0.014 curvature mean = 64.405, std = 7.900 No Rigid alignment: -atlas Mode Off (basic atlas / no registration) before rotation: sse = 4.92, sigma = 6.27 after rotation: sse = 4.92, sigma = 6.27 Localization of inacurate regions: Erosion-Dilation steps the sse mean is 5.92, its var is 8.05 before Erosion-Dilatation 3.16% 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...36 iterations mri_strip_skull: done peeling brain Brain Size = 1352516 voxels, voxel volume = 1.000 mm3 = 1352516 mmm3 = 1352.516 cm3 ****************************** Saving brainmask.auto.mgz done mri_watershed utimesec 33.238946 mri_watershed stimesec 0.647901 mri_watershed ru_maxrss 829920 mri_watershed ru_ixrss 0 mri_watershed ru_idrss 0 mri_watershed ru_isrss 0 mri_watershed ru_minflt 212801 mri_watershed ru_majflt 0 mri_watershed ru_nswap 0 mri_watershed ru_inblock 0 mri_watershed ru_oublock 2272 mri_watershed ru_msgsnd 0 mri_watershed ru_msgrcv 0 mri_watershed ru_nsignals 0 mri_watershed ru_nvcsw 102 mri_watershed ru_nivcsw 147 mri_watershed done @#@FSTIME 2017:01:19:03:56:07 mri_watershed N 8 e 34.32 S 0.74 U 33.24 P 99% M 829920 F 0 R 212807 W 0 c 147 w 107 I 0 O 2280 L 6.84 6.63 6.43 @#@FSLOADPOST 2017:01:19:03:56:41 mri_watershed N 8 6.86 6.66 6.44 cp brainmask.auto.mgz brainmask.mgz #------------------------------------- #@# EM Registration Thu Jan 19 03:56:43 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_em_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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=22.0 skull bounding box = (60, 88, 35) --> (192, 214, 182) using (104, 130, 109) as brain centroid... mean wm in atlas = 107, using box (88,115,91) --> (120, 145,127) to find MRI wm before smoothing, mri peak at 107 robust fit to distribution - 107 +- 5.8 after smoothing, mri peak at 107, scaling input intensities by 1.000 scaling channel 0 by 1 initial log_p = -4.403 ************************************************ First Search limited to translation only. ************************************************ max log p = -4.048586 @ (-9.091, -27.273, -9.091) max log p = -3.961592 @ (4.545, 4.545, 4.545) max log p = -3.886476 @ (2.273, -2.273, -6.818) max log p = -3.866906 @ (1.136, -1.136, 5.682) max log p = -3.860647 @ (0.568, -0.568, 0.568) max log p = -3.859644 @ (0.284, -0.284, -0.284) Found translation: (-0.3, -27.0, -5.4): log p = -3.860 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.282, old_max_log_p =-3.860 (thresh=-3.9) 1.06375 0.00000 0.00000 -8.38169; 0.00000 1.06753 0.42117 -76.05049; 0.00000 -0.43171 0.98772 66.61374; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.282, old_max_log_p =-3.282 (thresh=-3.3) 1.06375 0.00000 0.00000 -8.38169; 0.00000 1.06753 0.42117 -76.05049; 0.00000 -0.43171 0.98772 66.61374; 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=-3.224, old_max_log_p =-3.282 (thresh=-3.3) 1.12433 0.00000 0.00000 -17.95212; 0.00000 1.07311 0.46053 -80.85235; 0.00000 -0.45867 0.95395 75.77570; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.212, old_max_log_p =-3.224 (thresh=-3.2) 1.10325 0.00000 0.00000 -13.36419; 0.00000 1.10794 0.43712 -83.50689; 0.00000 -0.42332 0.96851 69.24311; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 4 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.211, old_max_log_p =-3.212 (thresh=-3.2) 1.08257 0.00000 0.00000 -10.73730; 0.00000 1.10794 0.43712 -83.50689; 0.00000 -0.41538 0.95035 69.92188; 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=-3.178, old_max_log_p =-3.211 (thresh=-3.2) 1.08249 -0.01234 0.00447 -9.40413; 0.00886 1.12035 0.41470 -85.09834; -0.00887 -0.38848 0.96189 65.55426; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 6 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.173, old_max_log_p =-3.178 (thresh=-3.2) 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; **************************************** Nine parameter search. iteration 7 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.173, old_max_log_p =-3.173 (thresh=-3.2) 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 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 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; nsamples 2830 Quasinewton: input matrix 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 010: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.173 (old=-4.403) transform before final EM align: 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 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 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; nsamples 315557 Quasinewton: input matrix 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; outof QuasiNewtonEMA: 012: -log(p) = 3.7 tol 0.000000 final transform: 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach.lta... mri_em_register utimesec 1260.705343 mri_em_register stimesec 1.710739 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 158542 mri_em_register ru_majflt 0 mri_em_register ru_nswap 0 mri_em_register ru_inblock 0 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 87 mri_em_register ru_nivcsw 5904 registration took 21 minutes and 3 seconds. @#@FSTIME 2017:01:19:03:56:43 mri_em_register N 9 e 1263.52 S 1.71 U 1260.70 P 99% M 598980 F 0 R 158547 W 0 c 5905 w 99 I 0 O 32 L 6.86 6.66 6.44 @#@FSLOADPOST 2017:01:19:04:17:46 mri_em_register N 9 5.57 6.38 6.52 #-------------------------------------- #@# CA Normalize Thu Jan 19 04:17:46 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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=22.0 skull bounding box = (60, 88, 34) --> (192, 214, 182) using (104, 130, 108) as brain centroid... mean wm in atlas = 107, using box (88,115,90) --> (120, 145,126) to find MRI wm before smoothing, mri peak at 107 robust fit to distribution - 107 +- 5.8 after smoothing, mri peak at 107, scaling input intensities by 1.000 scaling channel 0 by 1 using 246344 sample points... INFO: compute sample coordinates transform 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36946; -0.01774 -0.38883 0.96295 66.62395; 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 (128, 87, 30) --> (188, 193, 186) Left_Cerebral_White_Matter: limiting intensities to 96.0 --> 132.0 0 of 123 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (67, 87, 29) --> (128, 186, 186) Right_Cerebral_White_Matter: limiting intensities to 99.0 --> 132.0 0 of 104 (0.0%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (129, 169, 62) --> (173, 205, 113) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 8 of 15 (53.3%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (86, 169, 58) --> (127, 204, 113) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 6 of 9 (66.7%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (112, 153, 93) --> (143, 212, 123) Brain_Stem: limiting intensities to 88.0 --> 132.0 2 of 24 (8.3%) samples deleted using 275 total control points for intensity normalization... bias field = 0.961 +- 0.037 1 of 259 control points discarded finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (128, 87, 30) --> (188, 193, 186) Left_Cerebral_White_Matter: limiting intensities to 91.0 --> 132.0 5 of 218 (2.3%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (67, 87, 29) --> (128, 186, 186) Right_Cerebral_White_Matter: limiting intensities to 92.0 --> 132.0 0 of 212 (0.0%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (129, 169, 62) --> (173, 205, 113) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 59 of 69 (85.5%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (86, 169, 58) --> (127, 204, 113) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 75 of 76 (98.7%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (112, 153, 93) --> (143, 212, 123) Brain_Stem: limiting intensities to 88.0 --> 132.0 83 of 125 (66.4%) samples deleted using 700 total control points for intensity normalization... bias field = 1.000 +- 0.037 1 of 474 control points discarded finding control points in Left_Cerebral_White_Matter.... found 39915 control points for structure... bounding box (128, 87, 30) --> (188, 193, 186) Left_Cerebral_White_Matter: limiting intensities to 89.0 --> 132.0 8 of 343 (2.3%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39557 control points for structure... bounding box (67, 87, 29) --> (128, 186, 186) Right_Cerebral_White_Matter: limiting intensities to 88.0 --> 132.0 3 of 328 (0.9%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3059 control points for structure... bounding box (129, 169, 62) --> (173, 205, 113) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 94 of 125 (75.2%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2705 control points for structure... bounding box (86, 169, 58) --> (127, 204, 113) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 132.0 69 of 70 (98.6%) samples deleted finding control points in Brain_Stem.... found 3518 control points for structure... bounding box (112, 153, 93) --> (143, 212, 123) Brain_Stem: limiting intensities to 88.0 --> 132.0 155 of 185 (83.8%) samples deleted using 1051 total control points for intensity normalization... bias field = 1.008 +- 0.041 3 of 716 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 2017:01:19:04:17:47 mri_ca_normalize N 8 e 104.00 S 0.91 U 102.70 P 99% M 649828 F 0 R 380594 W 0 c 310 w 116 I 0 O 3232 L 5.57 6.38 6.52 @#@FSLOADPOST 2017:01:19:04:19:31 mri_ca_normalize N 8 5.54 6.09 6.39 #-------------------------------------- #@# CA Reg Thu Jan 19 04:19:31 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_ca_register -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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) = 1.34 (predicted orig area = 6.0) 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=0.906, neg=0, invalid=762 0001: dt=232.569038, rms=0.818 (9.649%), neg=0, invalid=762 0002: dt=196.181818, rms=0.793 (3.093%), neg=0, invalid=762 0003: dt=233.431579, rms=0.781 (1.527%), neg=0, invalid=762 0004: dt=163.622642, rms=0.775 (0.813%), neg=0, invalid=762 0005: dt=369.920000, rms=0.768 (0.894%), neg=0, invalid=762 0006: dt=129.472000, rms=0.764 (0.518%), neg=0, invalid=762 0007: dt=887.808000, rms=0.756 (0.950%), neg=0, invalid=762 0008: dt=129.472000, rms=0.753 (0.496%), neg=0, invalid=762 0009: dt=443.904000, rms=0.750 (0.291%), neg=0, invalid=762 0010: dt=129.472000, rms=0.749 (0.248%), neg=0, invalid=762 0011: dt=129.472000, rms=0.748 (0.103%), neg=0, invalid=762 0012: dt=129.472000, rms=0.746 (0.176%), neg=0, invalid=762 0013: dt=129.472000, rms=0.744 (0.281%), neg=0, invalid=762 0014: dt=129.472000, rms=0.742 (0.327%), neg=0, invalid=762 0015: dt=129.472000, rms=0.739 (0.361%), neg=0, invalid=762 0016: dt=129.472000, rms=0.736 (0.385%), neg=0, invalid=762 0017: dt=129.472000, rms=0.734 (0.384%), neg=0, invalid=762 0018: dt=129.472000, rms=0.731 (0.387%), neg=0, invalid=762 0019: dt=129.472000, rms=0.728 (0.393%), neg=0, invalid=762 0020: dt=129.472000, rms=0.725 (0.392%), neg=0, invalid=762 0021: dt=129.472000, rms=0.722 (0.384%), neg=0, invalid=762 0022: dt=129.472000, rms=0.720 (0.369%), neg=0, invalid=762 0023: dt=129.472000, rms=0.717 (0.324%), neg=0, invalid=762 0024: dt=129.472000, rms=0.715 (0.298%), neg=0, invalid=762 0025: dt=129.472000, rms=0.713 (0.293%), neg=0, invalid=762 0026: dt=129.472000, rms=0.711 (0.286%), neg=0, invalid=762 0027: dt=129.472000, rms=0.709 (0.260%), neg=0, invalid=762 0028: dt=129.472000, rms=0.707 (0.237%), neg=0, invalid=762 0029: dt=129.472000, rms=0.706 (0.206%), neg=0, invalid=762 0030: dt=129.472000, rms=0.705 (0.183%), neg=0, invalid=762 0031: dt=129.472000, rms=0.703 (0.179%), neg=0, invalid=762 0032: dt=129.472000, rms=0.702 (0.191%), neg=0, invalid=762 0033: dt=129.472000, rms=0.701 (0.183%), neg=0, invalid=762 0034: dt=129.472000, rms=0.700 (0.163%), neg=0, invalid=762 0035: dt=129.472000, rms=0.699 (0.136%), neg=0, invalid=762 0036: dt=129.472000, rms=0.698 (0.131%), neg=0, invalid=762 0037: dt=129.472000, rms=0.697 (0.126%), neg=0, invalid=762 0038: dt=129.472000, rms=0.696 (0.130%), neg=0, invalid=762 0039: dt=129.472000, rms=0.695 (0.114%), neg=0, invalid=762 0040: dt=129.472000, rms=0.694 (0.111%), neg=0, invalid=762 0041: dt=517.888000, rms=0.694 (0.028%), neg=0, invalid=762 0042: dt=517.888000, rms=0.694 (-0.211%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.695, neg=0, invalid=762 0043: dt=129.472000, rms=0.694 (0.154%), neg=0, invalid=762 0044: dt=295.936000, rms=0.693 (0.055%), neg=0, invalid=762 0045: dt=295.936000, rms=0.693 (0.046%), neg=0, invalid=762 0046: dt=295.936000, rms=0.693 (-0.002%), neg=0, invalid=762 setting smoothness coefficient to 0.154 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.701, neg=0, invalid=762 0047: dt=289.025954, rms=0.686 (2.067%), neg=0, invalid=762 0048: dt=119.305660, rms=0.676 (1.525%), neg=0, invalid=762 0049: dt=97.068762, rms=0.671 (0.700%), neg=0, invalid=762 0050: dt=151.466667, rms=0.667 (0.586%), neg=0, invalid=762 0051: dt=85.669291, rms=0.663 (0.572%), neg=0, invalid=762 0052: dt=143.753846, rms=0.661 (0.385%), neg=0, invalid=762 0053: dt=87.493671, rms=0.657 (0.470%), neg=0, invalid=762 0054: dt=103.680000, rms=0.656 (0.256%), neg=0, invalid=762 0055: dt=124.416000, rms=0.653 (0.390%), neg=0, invalid=762 0056: dt=70.026906, rms=0.652 (0.203%), neg=0, invalid=762 0057: dt=70.026906, rms=0.651 (0.198%), neg=0, invalid=762 0058: dt=70.026906, rms=0.649 (0.294%), neg=0, invalid=762 0059: dt=70.026906, rms=0.646 (0.424%), neg=0, invalid=762 0060: dt=70.026906, rms=0.643 (0.473%), neg=0, invalid=762 0061: dt=70.026906, rms=0.640 (0.514%), neg=0, invalid=762 0062: dt=70.026906, rms=0.636 (0.509%), neg=0, invalid=762 0063: dt=70.026906, rms=0.633 (0.484%), neg=0, invalid=762 0064: dt=70.026906, rms=0.630 (0.458%), neg=0, invalid=762 0065: dt=70.026906, rms=0.628 (0.386%), neg=0, invalid=762 0066: dt=70.026906, rms=0.626 (0.341%), neg=0, invalid=762 0067: dt=70.026906, rms=0.624 (0.311%), neg=0, invalid=762 0068: dt=70.026906, rms=0.622 (0.282%), neg=0, invalid=762 0069: dt=70.026906, rms=0.620 (0.248%), neg=0, invalid=762 0070: dt=70.026906, rms=0.619 (0.199%), neg=0, invalid=762 0071: dt=70.026906, rms=0.618 (0.180%), neg=0, invalid=762 0072: dt=70.026906, rms=0.617 (0.176%), neg=0, invalid=762 0073: dt=70.026906, rms=0.616 (0.165%), neg=0, invalid=762 0074: dt=70.026906, rms=0.615 (0.155%), neg=0, invalid=762 0075: dt=70.026906, rms=0.614 (0.139%), neg=0, invalid=762 0076: dt=70.026906, rms=0.613 (0.139%), neg=0, invalid=762 0077: dt=70.026906, rms=0.613 (0.123%), neg=0, invalid=762 0078: dt=70.026906, rms=0.612 (0.117%), neg=0, invalid=762 0079: dt=36.288000, rms=0.612 (0.005%), neg=0, invalid=762 0080: dt=36.288000, rms=0.612 (0.006%), neg=0, invalid=762 0081: dt=36.288000, rms=0.612 (0.008%), neg=0, invalid=762 0082: dt=36.288000, rms=0.612 (0.011%), neg=0, invalid=762 0083: dt=36.288000, rms=0.612 (0.014%), neg=0, invalid=762 0084: dt=36.288000, rms=0.612 (0.020%), neg=0, invalid=762 0085: dt=36.288000, rms=0.611 (0.013%), neg=0, invalid=762 0086: dt=36.288000, rms=0.611 (0.012%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.612, neg=0, invalid=762 0087: dt=82.944000, rms=0.611 (0.211%), neg=0, invalid=762 0088: dt=124.416000, rms=0.610 (0.050%), neg=0, invalid=762 0089: dt=124.416000, rms=0.610 (0.039%), neg=0, invalid=762 0090: dt=124.416000, rms=0.610 (-0.040%), neg=0, invalid=762 setting smoothness coefficient to 0.588 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.638, neg=0, invalid=762 0091: dt=0.000000, rms=0.638 (0.094%), neg=0, invalid=762 0092: dt=0.000000, rms=0.638 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.638, neg=0, invalid=762 0093: dt=0.000000, rms=0.638 (0.094%), neg=0, invalid=762 0094: dt=0.000000, rms=0.638 (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=0.720, neg=0, invalid=762 0095: dt=4.604444, rms=0.702 (2.593%), neg=0, invalid=762 0096: dt=1.916667, rms=0.701 (0.086%), neg=0, invalid=762 0097: dt=1.916667, rms=0.701 (-0.061%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.701, neg=0, invalid=762 0098: dt=0.000000, rms=0.701 (0.076%), neg=0, invalid=762 0099: dt=0.000000, rms=0.701 (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=0.788, neg=0, invalid=762 0100: dt=1.536000, rms=0.781 (0.879%), neg=0, invalid=762 0101: dt=1.792000, rms=0.776 (0.678%), neg=0, invalid=762 0102: dt=0.448000, rms=0.775 (0.048%), neg=0, invalid=762 0103: dt=0.448000, rms=0.775 (0.035%), neg=0, invalid=762 0104: dt=0.448000, rms=0.775 (0.024%), neg=0, invalid=762 0105: dt=0.448000, rms=0.775 (-0.040%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.775, neg=0, invalid=762 0106: dt=1.536000, rms=0.773 (0.266%), neg=0, invalid=762 0107: dt=0.000000, rms=0.773 (0.002%), neg=0, invalid=762 0108: dt=0.100000, rms=0.773 (-0.002%), 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=0.708, neg=0, invalid=762 0109: dt=1.056621, rms=0.679 (3.990%), neg=0, invalid=762 0110: dt=0.096000, rms=0.678 (0.211%), neg=0, invalid=762 0111: dt=0.096000, rms=0.678 (-0.099%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.679, neg=0, invalid=762 0112: dt=0.028000, rms=0.678 (0.108%), neg=0, invalid=762 0113: dt=0.007000, rms=0.678 (-0.001%), neg=0, invalid=762 renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.10027 (20) mri peak = 0.12523 ( 9) Left_Lateral_Ventricle (4): linear fit = 0.41 x + 0.0 (1644 voxels, overlap=0.019) Left_Lateral_Ventricle (4): linear fit = 0.41 x + 0.0 (1644 voxels, peak = 8), gca=8.1 gca peak = 0.15565 (16) mri peak = 0.11230 ( 9) Right_Lateral_Ventricle (43): linear fit = 0.51 x + 0.0 (1262 voxels, overlap=0.148) Right_Lateral_Ventricle (43): linear fit = 0.51 x + 0.0 (1262 voxels, peak = 8), gca=8.2 gca peak = 0.26829 (96) mri peak = 0.07875 (89) Right_Pallidum (52): linear fit = 0.94 x + 0.0 (690 voxels, overlap=1.011) Right_Pallidum (52): linear fit = 0.94 x + 0.0 (690 voxels, peak = 91), gca=90.7 gca peak = 0.20183 (93) mri peak = 0.10393 (95) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (495 voxels, overlap=1.009) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (495 voxels, peak = 94), gca=94.4 gca peak = 0.21683 (55) mri peak = 0.11268 (53) Right_Hippocampus (53): linear fit = 0.92 x + 0.0 (528 voxels, overlap=0.882) Right_Hippocampus (53): linear fit = 0.92 x + 0.0 (528 voxels, peak = 50), gca=50.3 gca peak = 0.30730 (58) mri peak = 0.09154 (55) Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (488 voxels, overlap=0.970) Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (488 voxels, peak = 54), gca=54.2 gca peak = 0.11430 (101) mri peak = 0.07784 (103) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (44308 voxels, overlap=0.687) Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (44308 voxels, peak = 106), gca=105.5 gca peak = 0.12076 (102) mri peak = 0.07804 (105) Left_Cerebral_White_Matter (2): linear fit = 1.05 x + 0.0 (46313 voxels, overlap=0.656) Left_Cerebral_White_Matter (2): linear fit = 1.05 x + 0.0 (46313 voxels, peak = 108), gca=107.6 gca peak = 0.14995 (59) mri peak = 0.03654 (56) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (13177 voxels, overlap=0.970) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (13177 voxels, peak = 60), gca=60.5 gca peak = 0.15082 (58) mri peak = 0.03601 (55) Right_Cerebral_Cortex (42): linear fit = 0.94 x + 0.0 (14716 voxels, overlap=0.981) Right_Cerebral_Cortex (42): linear fit = 0.94 x + 0.0 (14716 voxels, peak = 55), gca=54.8 gca peak = 0.14161 (67) mri peak = 0.10904 (71) Right_Caudate (50): linear fit = 1.01 x + 0.0 (360 voxels, overlap=0.948) Right_Caudate (50): linear fit = 1.01 x + 0.0 (360 voxels, peak = 68), gca=68.0 gca peak = 0.15243 (71) mri peak = 0.09560 (70) Left_Caudate (11): linear fit = 0.94 x + 0.0 (534 voxels, overlap=0.920) Left_Caudate (11): linear fit = 0.94 x + 0.0 (534 voxels, peak = 67), gca=67.1 gca peak = 0.13336 (57) mri peak = 0.04243 (54) Left_Cerebellum_Cortex (8): linear fit = 0.99 x + 0.0 (15908 voxels, overlap=0.982) Left_Cerebellum_Cortex (8): linear fit = 0.99 x + 0.0 (15908 voxels, peak = 56), gca=56.1 gca peak = 0.13252 (56) mri peak = 0.04286 (52) Right_Cerebellum_Cortex (47): linear fit = 0.94 x + 0.0 (19693 voxels, overlap=0.905) Right_Cerebellum_Cortex (47): linear fit = 0.94 x + 0.0 (19693 voxels, peak = 53), gca=52.9 gca peak = 0.18181 (84) mri peak = 0.05883 (80) Left_Cerebellum_White_Matter (7): linear fit = 0.99 x + 0.0 (6503 voxels, overlap=0.984) Left_Cerebellum_White_Matter (7): linear fit = 0.99 x + 0.0 (6503 voxels, peak = 83), gca=82.7 gca peak = 0.20573 (83) mri peak = 0.11127 (80) Right_Cerebellum_White_Matter (46): linear fit = 0.95 x + 0.0 (6085 voxels, overlap=0.981) Right_Cerebellum_White_Matter (46): linear fit = 0.95 x + 0.0 (6085 voxels, peak = 79), gca=79.3 gca peak = 0.21969 (57) mri peak = 0.10376 (55) Left_Amygdala (18): linear fit = 0.92 x + 0.0 (318 voxels, overlap=0.984) Left_Amygdala (18): linear fit = 0.92 x + 0.0 (318 voxels, peak = 52), gca=52.2 gca peak = 0.39313 (56) mri peak = 0.10793 (52) Right_Amygdala (54): linear fit = 0.92 x + 0.0 (387 voxels, overlap=0.978) Right_Amygdala (54): linear fit = 0.92 x + 0.0 (387 voxels, peak = 51), gca=51.2 gca peak = 0.14181 (85) mri peak = 0.06589 (87) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (4291 voxels, overlap=0.984) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (4291 voxels, peak = 83), gca=82.9 gca peak = 0.11978 (83) mri peak = 0.08694 (84) Right_Thalamus_Proper (49): linear fit = 1.00 x + 0.0 (3205 voxels, overlap=0.922) Right_Thalamus_Proper (49): linear fit = 1.00 x + 0.0 (3205 voxels, peak = 83), gca=82.6 gca peak = 0.13399 (79) mri peak = 0.06466 (70) Left_Putamen (12): linear fit = 1.00 x + 0.0 (1817 voxels, overlap=1.001) Left_Putamen (12): linear fit = 1.00 x + 0.0 (1817 voxels, peak = 79), gca=78.6 gca peak = 0.14159 (79) mri peak = 0.05518 (79) Right_Putamen (51): linear fit = 0.99 x + 0.0 (1948 voxels, overlap=1.001) Right_Putamen (51): linear fit = 0.99 x + 0.0 (1948 voxels, peak = 78), gca=77.8 gca peak = 0.10025 (80) mri peak = 0.12134 (83) Brain_Stem (16): linear fit = 1.07 x + 0.0 (9124 voxels, overlap=0.401) Brain_Stem (16): linear fit = 1.07 x + 0.0 (9124 voxels, peak = 85), gca=85.2 gca peak = 0.13281 (86) mri peak = 0.08997 (84) Right_VentralDC (60): linear fit = 1.09 x + 0.0 (770 voxels, overlap=0.681) Right_VentralDC (60): linear fit = 1.09 x + 0.0 (770 voxels, peak = 93), gca=93.3 gca peak = 0.12801 (89) mri peak = 0.08562 (86) Left_VentralDC (28): linear fit = 1.07 x + 0.0 (810 voxels, overlap=0.669) Left_VentralDC (28): linear fit = 1.07 x + 0.0 (810 voxels, peak = 95), gca=94.8 gca peak = 0.20494 (23) mri peak = 0.25000 (10) gca peak = 0.15061 (21) mri peak = 0.18415 (13) Fourth_Ventricle (15): linear fit = 0.56 x + 0.0 (212 voxels, overlap=0.108) Fourth_Ventricle (15): linear fit = 0.56 x + 0.0 (212 voxels, peak = 12), gca=11.9 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 0.94 x + 0.0 estimating mean wm scale to be 1.05 x + 0.0 estimating mean csf scale to be 0.46 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=0.690, neg=0, invalid=762 0114: dt=110.976000, rms=0.685 (0.791%), neg=0, invalid=762 0115: dt=221.952000, rms=0.682 (0.407%), neg=0, invalid=762 0116: dt=129.472000, rms=0.679 (0.380%), neg=0, invalid=762 0117: dt=129.472000, rms=0.678 (0.126%), neg=0, invalid=762 0118: dt=295.936000, rms=0.676 (0.299%), neg=0, invalid=762 0119: dt=73.984000, rms=0.676 (0.119%), neg=0, invalid=762 0120: dt=1479.680000, rms=0.671 (0.644%), neg=0, invalid=762 0121: dt=129.472000, rms=0.670 (0.208%), neg=0, invalid=762 0122: dt=92.480000, rms=0.670 (0.035%), neg=0, invalid=762 0123: dt=92.480000, rms=0.669 (0.064%), neg=0, invalid=762 0124: dt=92.480000, rms=0.668 (0.097%), neg=0, invalid=762 0125: dt=92.480000, rms=0.668 (0.124%), neg=0, invalid=762 0126: dt=92.480000, rms=0.667 (0.136%), neg=0, invalid=762 0127: dt=92.480000, rms=0.666 (0.150%), neg=0, invalid=762 0128: dt=92.480000, rms=0.665 (0.161%), neg=0, invalid=762 0129: dt=92.480000, rms=0.664 (0.147%), neg=0, invalid=762 0130: dt=92.480000, rms=0.663 (0.135%), neg=0, invalid=762 0131: dt=92.480000, rms=0.662 (0.122%), neg=0, invalid=762 0132: dt=92.480000, rms=0.661 (0.112%), neg=0, invalid=762 0133: dt=92.480000, rms=0.660 (0.112%), neg=0, invalid=762 0134: dt=92.480000, rms=0.660 (0.100%), neg=0, invalid=762 0135: dt=92.480000, rms=0.659 (0.091%), neg=0, invalid=762 0136: dt=92.480000, rms=0.659 (0.089%), neg=0, invalid=762 0137: dt=92.480000, rms=0.658 (0.084%), neg=0, invalid=762 0138: dt=92.480000, rms=0.658 (0.081%), neg=0, invalid=762 0139: dt=92.480000, rms=0.657 (0.083%), neg=0, invalid=762 0140: dt=92.480000, rms=0.656 (0.088%), neg=0, invalid=762 0141: dt=92.480000, rms=0.656 (0.082%), neg=0, invalid=762 0142: dt=92.480000, rms=0.655 (0.079%), neg=0, invalid=762 0143: dt=92.480000, rms=0.655 (0.081%), neg=0, invalid=762 0144: dt=92.480000, rms=0.654 (0.081%), neg=0, invalid=762 0145: dt=92.480000, rms=0.654 (0.081%), neg=0, invalid=762 0146: dt=92.480000, rms=0.653 (0.081%), neg=0, invalid=762 0147: dt=92.480000, rms=0.653 (0.074%), neg=0, invalid=762 0148: dt=92.480000, rms=0.652 (0.069%), neg=0, invalid=762 0149: dt=92.480000, rms=0.652 (0.069%), neg=0, invalid=762 0150: dt=92.480000, rms=0.651 (0.062%), neg=0, invalid=762 0151: dt=92.480000, rms=0.651 (0.059%), neg=0, invalid=762 0152: dt=92.480000, rms=0.651 (0.060%), neg=0, invalid=762 0153: dt=92.480000, rms=0.650 (0.052%), neg=0, invalid=762 0154: dt=92.480000, rms=0.650 (0.051%), neg=0, invalid=762 0155: dt=92.480000, rms=0.650 (0.053%), neg=0, invalid=762 0156: dt=92.480000, rms=0.649 (0.053%), neg=0, invalid=762 0157: dt=92.480000, rms=0.649 (0.049%), neg=0, invalid=762 0158: dt=92.480000, rms=0.649 (0.048%), neg=0, invalid=762 0159: dt=92.480000, rms=0.648 (0.044%), neg=0, invalid=762 0160: dt=92.480000, rms=0.648 (0.039%), neg=0, invalid=762 0161: dt=92.480000, rms=0.648 (0.041%), neg=0, invalid=762 0162: dt=92.480000, rms=0.648 (0.045%), neg=0, invalid=762 0163: dt=92.480000, rms=0.647 (0.043%), neg=0, invalid=762 0164: dt=92.480000, rms=0.647 (0.044%), neg=0, invalid=762 0165: dt=92.480000, rms=0.647 (0.039%), neg=0, invalid=762 0166: dt=92.480000, rms=0.647 (0.033%), neg=0, invalid=762 0167: dt=92.480000, rms=0.646 (0.028%), neg=0, invalid=762 0168: dt=92.480000, rms=0.646 (0.028%), neg=0, invalid=762 0169: dt=92.480000, rms=0.646 (0.031%), neg=0, invalid=762 0170: dt=92.480000, rms=0.646 (0.033%), neg=0, invalid=762 0171: dt=92.480000, rms=0.646 (0.030%), neg=0, invalid=762 0172: dt=92.480000, rms=0.645 (0.029%), neg=0, invalid=762 0173: dt=92.480000, rms=0.645 (0.026%), neg=0, invalid=762 0174: dt=92.480000, rms=0.645 (0.025%), neg=0, invalid=762 0175: dt=92.480000, rms=0.645 (0.025%), neg=0, invalid=762 0176: dt=92.480000, rms=0.645 (0.024%), neg=0, invalid=762 0177: dt=1183.744000, rms=0.645 (0.013%), neg=0, invalid=762 0178: dt=1183.744000, rms=0.645 (-1.321%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.645, neg=0, invalid=762 0179: dt=129.472000, rms=0.644 (0.251%), neg=0, invalid=762 0180: dt=369.920000, rms=0.643 (0.184%), neg=0, invalid=762 0181: dt=32.368000, rms=0.642 (0.013%), neg=0, invalid=762 0182: dt=32.368000, rms=0.642 (0.003%), neg=0, invalid=762 0183: dt=32.368000, rms=0.642 (-0.003%), 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 0184: dt=175.524752, rms=0.637 (1.020%), neg=0, invalid=762 0185: dt=134.054054, rms=0.630 (1.163%), neg=0, invalid=762 0186: dt=67.277628, rms=0.626 (0.584%), neg=0, invalid=762 0187: dt=145.152000, rms=0.624 (0.443%), neg=0, invalid=762 0188: dt=68.633484, rms=0.621 (0.472%), neg=0, invalid=762 0189: dt=100.141176, rms=0.619 (0.260%), neg=0, invalid=762 0190: dt=82.944000, rms=0.617 (0.357%), neg=0, invalid=762 0191: dt=73.574803, rms=0.616 (0.196%), neg=0, invalid=762 0192: dt=124.416000, rms=0.614 (0.317%), neg=0, invalid=762 0193: dt=9.072000, rms=0.613 (0.050%), neg=0, invalid=762 0194: dt=9.072000, rms=0.613 (0.050%), neg=0, invalid=762 0195: dt=2.268000, rms=0.613 (0.012%), neg=0, invalid=762 0196: dt=1.134000, rms=0.613 (0.005%), neg=0, invalid=762 0197: dt=0.141750, rms=0.613 (0.001%), neg=0, invalid=762 0198: dt=0.141750, rms=0.613 (0.000%), neg=0, invalid=762 0199: dt=0.017719, rms=0.613 (0.000%), neg=0, invalid=762 0200: dt=0.000004, rms=0.613 (0.000%), neg=0, invalid=762 0201: dt=0.000000, rms=0.613 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.613, neg=0, invalid=762 0202: dt=0.000000, rms=0.613 (0.104%), neg=0, invalid=762 0203: dt=0.000000, rms=0.613 (0.000%), neg=0, invalid=762 0204: dt=0.000439, rms=0.613 (0.000%), neg=0, invalid=762 0205: dt=0.000220, rms=0.613 (0.000%), neg=0, invalid=762 0206: dt=0.000027, rms=0.613 (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=0.617, neg=0, invalid=762 0207: dt=0.000000, rms=0.617 (0.103%), neg=0, invalid=762 0208: dt=0.000000, rms=0.617 (0.000%), neg=0, invalid=762 0209: dt=0.000002, rms=0.617 (0.000%), neg=0, invalid=762 0210: dt=0.000001, rms=0.617 (0.000%), neg=0, invalid=762 0211: dt=0.000000, rms=0.617 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.617, neg=0, invalid=762 0212: dt=0.000000, rms=0.617 (0.103%), neg=0, invalid=762 0213: dt=0.000000, rms=0.617 (0.000%), neg=0, invalid=762 0214: dt=0.000000, rms=0.617 (0.000%), neg=0, invalid=762 0215: dt=0.000000, rms=0.617 (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=0.630, neg=0, invalid=762 0216: dt=0.000000, rms=0.629 (0.099%), neg=0, invalid=762 0217: dt=0.000000, rms=0.629 (0.000%), neg=0, invalid=762 0218: dt=0.000000, rms=0.629 (0.000%), neg=0, invalid=762 0219: dt=0.000000, rms=0.629 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.630, neg=0, invalid=762 0220: dt=0.000000, rms=0.629 (0.099%), neg=0, invalid=762 0221: dt=0.000000, rms=0.629 (0.000%), neg=0, invalid=762 0222: dt=0.000000, rms=0.629 (0.000%), neg=0, invalid=762 0223: dt=0.000000, rms=0.629 (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=0.656, neg=0, invalid=762 0224: dt=1.792000, rms=0.635 (3.109%), neg=0, invalid=762 0225: dt=1.792000, rms=0.625 (1.692%), neg=0, invalid=762 0226: dt=1.792000, rms=0.618 (0.980%), neg=0, invalid=762 0227: dt=1.792000, rms=0.615 (0.610%), neg=0, invalid=762 0228: dt=1.792000, rms=0.612 (0.419%), neg=0, invalid=762 0229: dt=1.792000, rms=0.610 (0.302%), neg=0, invalid=762 0230: dt=3.400000, rms=0.608 (0.437%), neg=0, invalid=762 0231: dt=1.792000, rms=0.607 (0.139%), neg=0, invalid=762 0232: dt=1.792000, rms=0.606 (0.130%), neg=0, invalid=762 0233: dt=1.792000, rms=0.605 (0.113%), neg=0, invalid=762 0234: dt=1.792000, rms=0.605 (0.098%), neg=0, invalid=762 0235: dt=1.792000, rms=0.604 (0.086%), neg=0, invalid=762 0236: dt=1.792000, rms=0.604 (0.086%), neg=0, invalid=762 0237: dt=1.792000, rms=0.603 (0.068%), neg=0, invalid=762 0238: dt=1.792000, rms=0.603 (0.061%), neg=0, invalid=762 0239: dt=1.792000, rms=0.602 (0.064%), neg=0, invalid=762 0240: dt=1.792000, rms=0.602 (0.053%), neg=0, invalid=762 0241: dt=1.792000, rms=0.602 (0.052%), neg=0, invalid=762 0242: dt=1.792000, rms=0.602 (0.040%), neg=0, invalid=762 0243: dt=1.792000, rms=0.601 (0.044%), neg=0, invalid=762 0244: dt=1.792000, rms=0.601 (0.072%), neg=0, invalid=762 0245: dt=1.792000, rms=0.600 (0.092%), neg=0, invalid=762 0246: dt=1.792000, rms=0.600 (0.092%), neg=0, invalid=762 0247: dt=1.792000, rms=0.599 (0.079%), neg=0, invalid=762 0248: dt=1.792000, rms=0.599 (0.060%), neg=0, invalid=762 0249: dt=1.792000, rms=0.599 (0.030%), neg=0, invalid=762 0250: dt=1.792000, rms=0.599 (0.004%), neg=0, invalid=762 0251: dt=1.792000, rms=0.599 (-0.010%), neg=0, invalid=762 0252: dt=1.792000, rms=0.599 (0.010%), neg=0, invalid=762 0253: dt=1.792000, rms=0.599 (0.015%), neg=0, invalid=762 0254: dt=1.792000, rms=0.598 (0.016%), neg=0, invalid=762 0255: dt=1.792000, rms=0.598 (0.015%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.599, neg=0, invalid=762 0256: dt=1.792000, rms=0.597 (0.390%), neg=0, invalid=762 0257: dt=1.792000, rms=0.596 (0.152%), neg=0, invalid=762 0258: dt=1.792000, rms=0.595 (0.101%), neg=0, invalid=762 0259: dt=1.792000, rms=0.595 (0.066%), neg=0, invalid=762 0260: dt=1.792000, rms=0.594 (0.055%), neg=0, invalid=762 0261: dt=1.792000, rms=0.594 (0.045%), neg=0, invalid=762 0262: dt=1.792000, rms=0.594 (0.036%), neg=0, invalid=762 0263: dt=1.792000, rms=0.594 (0.071%), neg=0, invalid=762 0264: dt=1.792000, rms=0.593 (0.085%), neg=0, invalid=762 0265: dt=1.792000, rms=0.593 (0.082%), neg=0, invalid=762 0266: dt=1.792000, rms=0.592 (0.081%), neg=0, invalid=762 0267: dt=1.792000, rms=0.592 (0.054%), neg=0, invalid=762 0268: dt=1.792000, rms=0.592 (0.005%), neg=0, invalid=762 0269: dt=1.792000, rms=0.592 (0.001%), neg=0, invalid=762 0270: dt=1.792000, rms=0.592 (0.011%), neg=0, invalid=762 0271: dt=1.792000, rms=0.592 (0.002%), neg=0, invalid=762 0272: dt=1.792000, rms=0.592 (0.006%), neg=0, invalid=762 0273: dt=1.792000, rms=0.592 (0.014%), neg=0, invalid=762 0274: dt=1.792000, rms=0.591 (0.016%), neg=0, invalid=762 0275: dt=1.792000, rms=0.591 (0.021%), neg=0, invalid=762 0276: dt=1.792000, rms=0.591 (0.023%), neg=0, invalid=762 0277: dt=1.792000, rms=0.591 (0.028%), neg=0, invalid=762 0278: dt=1.792000, rms=0.591 (0.036%), neg=0, invalid=762 0279: dt=1.792000, rms=0.591 (0.031%), neg=0, invalid=762 0280: dt=1.792000, rms=0.590 (0.028%), neg=0, invalid=762 0281: dt=1.792000, rms=0.590 (0.028%), neg=0, invalid=762 0282: dt=1.792000, rms=0.590 (0.021%), neg=0, invalid=762 0283: dt=1.792000, rms=0.590 (0.023%), neg=0, invalid=762 0284: dt=1.792000, rms=0.590 (0.015%), neg=0, invalid=762 0285: dt=1.792000, rms=0.590 (0.002%), neg=0, invalid=762 0286: dt=1.792000, rms=0.590 (0.001%), neg=0, invalid=762 0287: dt=1.792000, rms=0.590 (0.005%), neg=0, invalid=762 0288: dt=1.792000, rms=0.590 (-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=0.581, neg=0, invalid=762 0289: dt=0.448000, rms=0.560 (3.581%), neg=0, invalid=762 0290: dt=0.448000, rms=0.553 (1.196%), neg=0, invalid=762 0291: dt=0.448000, rms=0.550 (0.697%), neg=0, invalid=762 0292: dt=0.448000, rms=0.547 (0.449%), neg=0, invalid=762 0293: dt=0.448000, rms=0.545 (0.350%), neg=0, invalid=762 0294: dt=0.448000, rms=0.544 (0.249%), neg=0, invalid=762 0295: dt=0.448000, rms=0.543 (0.226%), neg=0, invalid=762 0296: dt=0.448000, rms=0.542 (0.162%), neg=0, invalid=762 0297: dt=0.500000, rms=0.541 (0.172%), neg=0, invalid=762 0298: dt=0.448000, rms=0.540 (0.111%), neg=0, invalid=762 0299: dt=0.448000, rms=0.540 (0.118%), neg=0, invalid=762 0300: dt=0.448000, rms=0.539 (0.080%), neg=0, invalid=762 0301: dt=0.448000, rms=0.539 (0.089%), neg=0, invalid=762 0302: dt=0.448000, rms=0.538 (0.060%), neg=0, invalid=762 0303: dt=0.448000, rms=0.538 (0.077%), neg=0, invalid=762 0304: dt=0.448000, rms=0.538 (0.044%), neg=0, invalid=762 0305: dt=0.448000, rms=0.537 (0.061%), neg=0, invalid=762 0306: dt=0.448000, rms=0.537 (0.091%), neg=0, invalid=762 0307: dt=0.448000, rms=0.536 (0.106%), neg=0, invalid=762 0308: dt=0.448000, rms=0.536 (0.122%), neg=0, invalid=762 0309: dt=0.448000, rms=0.535 (0.033%), neg=0, invalid=762 0310: dt=0.448000, rms=0.535 (0.028%), neg=0, invalid=762 0311: dt=0.448000, rms=0.535 (0.009%), neg=0, invalid=762 0312: dt=0.448000, rms=0.535 (0.029%), neg=0, invalid=762 0313: dt=0.448000, rms=0.535 (0.017%), neg=0, invalid=762 0314: dt=0.448000, rms=0.535 (0.008%), neg=0, invalid=762 0315: dt=0.384000, rms=0.535 (0.014%), neg=0, invalid=762 0316: dt=0.384000, rms=0.535 (0.008%), neg=0, invalid=762 0317: dt=0.384000, rms=0.535 (0.010%), neg=0, invalid=762 0318: dt=0.384000, rms=0.535 (0.020%), neg=0, invalid=762 0319: dt=0.384000, rms=0.535 (0.015%), neg=0, invalid=762 0320: dt=0.384000, rms=0.534 (0.026%), neg=0, invalid=762 0321: dt=0.384000, rms=0.534 (0.008%), neg=0, invalid=762 0322: dt=0.384000, rms=0.534 (0.009%), neg=0, invalid=762 0323: dt=0.192000, rms=0.534 (0.003%), neg=0, invalid=762 0324: dt=0.320000, rms=0.534 (0.008%), neg=0, invalid=762 0325: dt=0.320000, rms=0.534 (0.004%), neg=0, invalid=762 0326: dt=0.320000, rms=0.534 (0.001%), neg=0, invalid=762 0327: dt=0.320000, rms=0.534 (0.007%), neg=0, invalid=762 0328: dt=0.320000, rms=0.534 (0.009%), neg=0, invalid=762 0329: dt=0.320000, rms=0.534 (0.008%), neg=0, invalid=762 0330: dt=0.320000, rms=0.534 (0.015%), neg=0, invalid=762 0331: dt=0.320000, rms=0.534 (0.013%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.535, neg=0, invalid=762 0332: dt=0.384000, rms=0.529 (0.995%), neg=0, invalid=762 0333: dt=0.448000, rms=0.529 (0.170%), neg=0, invalid=762 0334: dt=0.064000, rms=0.529 (-0.005%), neg=0, invalid=762 0335: dt=0.064000, rms=0.529 (0.000%), neg=0, invalid=762 0336: dt=0.064000, rms=0.529 (0.004%), neg=0, invalid=762 0337: dt=0.064000, rms=0.529 (-0.006%), 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=0.526, neg=0, invalid=762 0338: dt=0.000000, rms=0.525 (0.156%), neg=0, invalid=762 0339: dt=0.000000, rms=0.525 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.526, neg=0, invalid=762 0340: dt=110.976000, rms=0.525 (0.185%), neg=0, invalid=762 0341: dt=92.480000, rms=0.525 (0.040%), neg=0, invalid=762 0342: dt=92.480000, rms=0.525 (-0.011%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.525, neg=0, invalid=762 0343: dt=36.288000, rms=0.524 (0.337%), neg=0, invalid=762 0344: dt=36.288000, rms=0.523 (0.066%), neg=0, invalid=762 0345: dt=36.288000, rms=0.523 (0.038%), neg=0, invalid=762 0346: dt=36.288000, rms=0.523 (-0.053%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.524, neg=0, invalid=762 0347: dt=69.003257, rms=0.520 (0.691%), neg=0, invalid=762 0348: dt=36.288000, rms=0.519 (0.214%), neg=0, invalid=762 0349: dt=36.288000, rms=0.519 (0.081%), neg=0, invalid=762 0350: dt=36.288000, rms=0.518 (0.149%), neg=0, invalid=762 0351: dt=36.288000, rms=0.517 (0.215%), neg=0, invalid=762 0352: dt=36.288000, rms=0.516 (0.174%), neg=0, invalid=762 0353: dt=36.288000, rms=0.515 (0.182%), neg=0, invalid=762 0354: dt=36.288000, rms=0.514 (0.145%), neg=0, invalid=762 0355: dt=36.288000, rms=0.513 (0.160%), neg=0, invalid=762 0356: dt=36.288000, rms=0.513 (0.114%), neg=0, invalid=762 0357: dt=36.288000, rms=0.512 (0.121%), neg=0, invalid=762 0358: dt=36.288000, rms=0.512 (0.106%), neg=0, invalid=762 0359: dt=36.288000, rms=0.512 (0.029%), neg=0, invalid=762 0360: dt=36.288000, rms=0.511 (0.020%), neg=0, invalid=762 0361: dt=36.288000, rms=0.511 (0.037%), neg=0, invalid=762 0362: dt=36.288000, rms=0.511 (0.057%), neg=0, invalid=762 0363: dt=36.288000, rms=0.511 (0.045%), neg=0, invalid=762 0364: dt=36.288000, rms=0.510 (0.058%), neg=0, invalid=762 0365: dt=36.288000, rms=0.510 (0.059%), neg=0, invalid=762 0366: dt=36.288000, rms=0.510 (0.059%), neg=0, invalid=762 0367: dt=36.288000, rms=0.510 (0.049%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.511, neg=0, invalid=762 iter 0, gcam->neg = 4 after 1 iterations, nbhd size=0, neg = 0 0368: dt=44.167300, rms=0.507 (0.869%), neg=0, invalid=762 iter 0, gcam->neg = 36 after 13 iterations, nbhd size=1, neg = 0 0369: dt=92.395147, rms=0.502 (1.003%), neg=0, invalid=762 iter 0, gcam->neg = 12 after 4 iterations, nbhd size=0, neg = 0 0370: dt=24.979592, rms=0.499 (0.473%), neg=0, invalid=762 iter 0, gcam->neg = 9 after 3 iterations, nbhd size=0, neg = 0 0371: dt=44.800000, rms=0.497 (0.344%), neg=0, invalid=762 iter 0, gcam->neg = 11 after 4 iterations, nbhd size=0, neg = 0 0372: dt=32.000000, rms=0.496 (0.266%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0373: dt=25.600000, rms=0.495 (0.191%), neg=0, invalid=762 iter 0, gcam->neg = 8 after 12 iterations, nbhd size=1, neg = 0 0374: dt=25.600000, rms=0.495 (0.129%), neg=0, invalid=762 iter 0, gcam->neg = 16 after 12 iterations, nbhd size=1, neg = 0 0375: dt=25.600000, rms=0.494 (0.183%), neg=0, invalid=762 iter 0, gcam->neg = 20 after 12 iterations, nbhd size=1, neg = 0 0376: dt=25.600000, rms=0.492 (0.271%), neg=0, invalid=762 iter 0, gcam->neg = 21 after 13 iterations, nbhd size=1, neg = 0 0377: dt=25.600000, rms=0.491 (0.319%), neg=0, invalid=762 iter 0, gcam->neg = 34 after 14 iterations, nbhd size=1, neg = 0 0378: dt=25.600000, rms=0.489 (0.302%), neg=0, invalid=762 iter 0, gcam->neg = 34 after 13 iterations, nbhd size=1, neg = 0 0379: dt=25.600000, rms=0.488 (0.292%), neg=0, invalid=762 iter 0, gcam->neg = 47 after 14 iterations, nbhd size=1, neg = 0 0380: dt=25.600000, rms=0.486 (0.290%), neg=0, invalid=762 iter 0, gcam->neg = 50 after 19 iterations, nbhd size=1, neg = 0 0381: dt=25.600000, rms=0.485 (0.241%), neg=0, invalid=762 iter 0, gcam->neg = 30 after 17 iterations, nbhd size=1, neg = 0 0382: dt=25.600000, rms=0.484 (0.228%), neg=0, invalid=762 iter 0, gcam->neg = 36 after 16 iterations, nbhd size=1, neg = 0 0383: dt=25.600000, rms=0.483 (0.154%), neg=0, invalid=762 iter 0, gcam->neg = 31 after 21 iterations, nbhd size=1, neg = 0 0384: dt=25.600000, rms=0.483 (0.157%), neg=0, invalid=762 iter 0, gcam->neg = 29 after 15 iterations, nbhd size=1, neg = 0 0385: dt=25.600000, rms=0.482 (0.135%), neg=0, invalid=762 iter 0, gcam->neg = 28 after 13 iterations, nbhd size=1, neg = 0 0386: dt=25.600000, rms=0.481 (0.125%), neg=0, invalid=762 iter 0, gcam->neg = 32 after 14 iterations, nbhd size=1, neg = 0 0387: dt=25.600000, rms=0.481 (0.126%), neg=0, invalid=762 iter 0, gcam->neg = 37 after 17 iterations, nbhd size=1, neg = 0 0388: dt=25.600000, rms=0.480 (0.080%), neg=0, invalid=762 iter 0, gcam->neg = 28 after 6 iterations, nbhd size=0, neg = 0 0389: dt=25.600000, rms=0.480 (0.134%), neg=0, invalid=762 iter 0, gcam->neg = 33 after 18 iterations, nbhd size=1, neg = 0 0390: dt=25.600000, rms=0.479 (0.060%), neg=0, invalid=762 iter 0, gcam->neg = 29 after 14 iterations, nbhd size=1, neg = 0 0391: dt=25.600000, rms=0.479 (0.046%), neg=0, invalid=762 iter 0, gcam->neg = 8 after 10 iterations, nbhd size=1, neg = 0 0392: dt=38.400000, rms=0.479 (0.071%), neg=0, invalid=762 0393: dt=11.200000, rms=0.479 (0.029%), neg=0, invalid=762 0394: dt=11.200000, rms=0.479 (0.009%), neg=0, invalid=762 0395: dt=11.200000, rms=0.479 (0.021%), neg=0, invalid=762 0396: dt=11.200000, rms=0.478 (0.039%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 2 iterations, nbhd size=0, neg = 0 0397: dt=11.200000, rms=0.478 (0.035%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 9 iterations, nbhd size=1, neg = 0 0398: dt=11.200000, rms=0.478 (0.027%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.479, neg=0, invalid=762 iter 0, gcam->neg = 1 after 1 iterations, nbhd size=0, neg = 0 0399: dt=54.742138, rms=0.475 (0.847%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 2 iterations, nbhd size=0, neg = 0 0400: dt=32.000000, rms=0.474 (0.251%), neg=0, invalid=762 0401: dt=19.200000, rms=0.473 (0.109%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 2 iterations, nbhd size=0, neg = 0 0402: dt=19.200000, rms=0.473 (0.066%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0403: dt=19.200000, rms=0.472 (0.095%), neg=0, invalid=762 0404: dt=19.200000, rms=0.472 (0.109%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0405: dt=19.200000, rms=0.471 (0.087%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0406: dt=19.200000, rms=0.471 (0.054%), neg=0, invalid=762 0407: dt=11.200000, rms=0.471 (0.016%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.484, neg=0, invalid=762 0408: dt=0.864000, rms=0.484 (0.172%), neg=0, invalid=762 0409: dt=0.252000, rms=0.484 (-0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.484, neg=0, invalid=762 0410: dt=1.500000, rms=0.484 (0.180%), neg=0, invalid=762 0411: dt=0.576000, rms=0.483 (0.005%), neg=0, invalid=762 0412: dt=0.576000, rms=0.483 (-0.001%), neg=0, invalid=762 setting smoothness coefficient to 1.000 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.507, neg=0, invalid=762 0413: dt=1.536000, rms=0.503 (0.772%), neg=0, invalid=762 0414: dt=0.448000, rms=0.503 (0.034%), neg=0, invalid=762 0415: dt=0.448000, rms=0.503 (-0.001%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.504, neg=0, invalid=762 0416: dt=1.280000, rms=0.502 (0.336%), neg=0, invalid=762 0417: dt=0.448000, rms=0.502 (0.021%), neg=0, invalid=762 0418: dt=0.448000, rms=0.502 (0.005%), neg=0, invalid=762 0419: dt=0.448000, rms=0.502 (-0.026%), 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=0.485, neg=0, invalid=762 iter 0, gcam->neg = 1725 after 19 iterations, nbhd size=1, neg = 0 0420: dt=2.444672, rms=0.450 (7.195%), neg=0, invalid=762 0421: dt=0.112000, rms=0.450 (0.168%), neg=0, invalid=762 0422: dt=0.112000, rms=0.450 (-0.036%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.451, neg=0, invalid=762 0423: dt=0.112000, rms=0.449 (0.304%), neg=0, invalid=762 0424: dt=0.006000, rms=0.449 (-0.003%), neg=0, invalid=762 0425: dt=0.006000, rms=0.449 (0.000%), neg=0, invalid=762 0426: dt=0.006000, rms=0.449 (-0.001%), 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=0.433, neg=0, invalid=762 0427: dt=0.000000, rms=0.433 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.433, neg=0, invalid=762 0428: dt=92.480000, rms=0.433 (0.032%), neg=0, invalid=762 0429: dt=129.472000, rms=0.433 (0.011%), neg=0, invalid=762 0430: dt=129.472000, rms=0.433 (0.003%), neg=0, invalid=762 0431: dt=129.472000, rms=0.433 (0.009%), neg=0, invalid=762 0432: dt=129.472000, rms=0.433 (0.002%), neg=0, invalid=762 0433: dt=129.472000, rms=0.433 (0.001%), neg=0, invalid=762 setting smoothness coefficient to 0.031 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.433, neg=0, invalid=762 0434: dt=3.888000, rms=0.433 (0.002%), neg=0, invalid=762 0435: dt=1.296000, rms=0.433 (0.000%), neg=0, invalid=762 0436: dt=1.296000, rms=0.433 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.433, neg=0, invalid=762 0437: dt=145.152000, rms=0.432 (0.164%), neg=0, invalid=762 0438: dt=36.288000, rms=0.432 (0.043%), neg=0, invalid=762 0439: dt=36.288000, rms=0.432 (0.023%), neg=0, invalid=762 0440: dt=36.288000, rms=0.432 (0.038%), neg=0, invalid=762 0441: dt=36.288000, rms=0.432 (0.047%), neg=0, invalid=762 0442: dt=36.288000, rms=0.432 (0.051%), neg=0, invalid=762 0443: dt=36.288000, rms=0.431 (0.049%), neg=0, invalid=762 0444: dt=36.288000, rms=0.431 (0.043%), neg=0, invalid=762 setting smoothness coefficient to 0.118 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.432, neg=0, invalid=762 iter 0, gcam->neg = 1 after 3 iterations, nbhd size=0, neg = 0 0445: dt=25.600000, rms=0.431 (0.271%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 4 iterations, nbhd size=0, neg = 0 0446: dt=44.800000, rms=0.430 (0.188%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 5 iterations, nbhd size=0, neg = 0 0447: dt=44.800000, rms=0.429 (0.214%), neg=0, invalid=762 iter 0, gcam->neg = 31 after 17 iterations, nbhd size=1, neg = 0 0448: dt=44.800000, rms=0.429 (0.106%), neg=0, invalid=762 iter 0, gcam->neg = 77 after 15 iterations, nbhd size=1, neg = 0 0449: dt=44.800000, rms=0.429 (-0.133%), neg=0, invalid=762 iter 0, gcam->neg = 64 after 12 iterations, nbhd size=1, neg = 0 0450: dt=153.600000, rms=0.428 (0.198%), neg=0, invalid=762 iter 0, gcam->neg = 13 after 9 iterations, nbhd size=1, neg = 0 0451: dt=44.800000, rms=0.427 (0.131%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.427, neg=0, invalid=762 iter 0, gcam->neg = 2 after 0 iterations, nbhd size=0, neg = 0 0452: dt=53.235023, rms=0.423 (0.974%), neg=0, invalid=762 0453: dt=31.072464, rms=0.422 (0.329%), neg=0, invalid=762 iter 0, gcam->neg = 4 after 4 iterations, nbhd size=0, neg = 0 0454: dt=38.400000, rms=0.421 (0.183%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 7 iterations, nbhd size=1, neg = 0 0455: dt=38.400000, rms=0.421 (0.089%), neg=0, invalid=762 iter 0, gcam->neg = 5 after 6 iterations, nbhd size=1, neg = 0 0456: dt=38.400000, rms=0.420 (0.186%), neg=0, invalid=762 iter 0, gcam->neg = 8 after 12 iterations, nbhd size=1, neg = 0 0457: dt=38.400000, rms=0.419 (0.155%), neg=0, invalid=762 iter 0, gcam->neg = 11 after 10 iterations, nbhd size=1, neg = 0 0458: dt=38.400000, rms=0.418 (0.178%), neg=0, invalid=762 iter 0, gcam->neg = 9 after 16 iterations, nbhd size=1, neg = 0 0459: dt=38.400000, rms=0.418 (0.041%), neg=0, invalid=762 iter 0, gcam->neg = 7 after 5 iterations, nbhd size=0, neg = 0 0460: dt=38.400000, rms=0.418 (0.144%), neg=0, invalid=762 iter 0, gcam->neg = 8 after 13 iterations, nbhd size=1, neg = 0 0461: dt=38.400000, rms=0.417 (0.121%), neg=0, invalid=762 iter 0, gcam->neg = 12 after 9 iterations, nbhd size=1, neg = 0 0462: dt=38.400000, rms=0.416 (0.207%), neg=0, invalid=762 iter 0, gcam->neg = 18 after 16 iterations, nbhd size=1, neg = 0 0463: dt=38.400000, rms=0.416 (0.058%), neg=0, invalid=762 iter 0, gcam->neg = 33 after 5 iterations, nbhd size=0, neg = 0 0464: dt=38.400000, rms=0.415 (0.123%), neg=0, invalid=762 iter 0, gcam->neg = 41 after 8 iterations, nbhd size=0, neg = 0 0465: dt=38.400000, rms=0.415 (0.075%), neg=0, invalid=762 0466: dt=32.000000, rms=0.415 (0.062%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0467: dt=32.000000, rms=0.415 (0.008%), neg=0, invalid=762 iter 0, gcam->neg = 2 after 2 iterations, nbhd size=0, neg = 0 0468: dt=32.000000, rms=0.415 (0.007%), neg=0, invalid=762 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 0469: dt=32.000000, rms=0.415 (0.020%), neg=0, invalid=762 iter 0, gcam->neg = 3 after 2 iterations, nbhd size=0, neg = 0 0470: dt=32.000000, rms=0.415 (0.002%), neg=0, invalid=762 setting smoothness coefficient to 0.400 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.420, neg=0, invalid=762 0471: dt=0.000246, rms=0.420 (0.000%), neg=0, invalid=762 0472: dt=0.000000, rms=0.420 (0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.420, neg=0, invalid=762 0473: dt=0.000000, rms=0.420 (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=0.432, neg=0, invalid=762 0474: dt=0.000040, rms=0.432 (0.000%), neg=0, invalid=762 0475: dt=0.000000, rms=0.432 (0.000%), neg=0, invalid=762 0476: dt=0.100000, rms=0.432 (-0.010%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.432, neg=0, invalid=762 0477: dt=0.256000, rms=0.432 (0.014%), neg=0, invalid=762 0478: dt=0.048000, rms=0.432 (0.001%), neg=0, invalid=762 0479: dt=0.048000, rms=0.432 (-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=0.414, neg=0, invalid=762 iter 0, gcam->neg = 873 after 20 iterations, nbhd size=1, neg = 0 0480: dt=1.230890, rms=0.404 (2.245%), neg=0, invalid=762 0481: dt=0.000023, rms=0.404 (0.000%), neg=0, invalid=762 0482: dt=0.000023, rms=0.404 (-0.000%), neg=0, invalid=762 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.404, neg=0, invalid=762 0483: dt=0.080000, rms=0.404 (0.034%), neg=0, invalid=762 0484: dt=0.028000, rms=0.404 (0.006%), neg=0, invalid=762 0485: dt=0.028000, rms=0.404 (0.004%), neg=0, invalid=762 0486: dt=0.028000, rms=0.404 (-0.002%), neg=0, invalid=762 writing output transformation to transforms/talairach.m3z... GCAMwrite mri_ca_register took 4 hours, 52 minutes and 45 seconds. mri_ca_register utimesec 17544.627811 mri_ca_register stimesec 12.524096 mri_ca_register ru_maxrss 1338660 mri_ca_register ru_ixrss 0 mri_ca_register ru_idrss 0 mri_ca_register ru_isrss 0 mri_ca_register ru_minflt 5073846 mri_ca_register ru_majflt 0 mri_ca_register ru_nswap 0 mri_ca_register ru_inblock 0 mri_ca_register ru_oublock 62912 mri_ca_register ru_msgsnd 0 mri_ca_register ru_msgrcv 0 mri_ca_register ru_nsignals 0 mri_ca_register ru_nvcsw 1044 mri_ca_register ru_nivcsw 54090 FSRUNTIME@ mri_ca_register 4.8791 hours 1 threads @#@FSTIME 2017:01:19:04:19:31 mri_ca_register N 11 e 17564.67 S 12.53 U 17544.63 P 99% M 1338660 F 0 R 5073853 W 0 c 54090 w 1056 I 0 O 62920 L 5.54 6.09 6.39 @#@FSLOADPOST 2017:01:19:09:12:16 mri_ca_register N 11 3.00 3.00 3.00 #-------------------------------------- #@# SubCort Seg Thu Jan 19 09:12:16 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-0-94 machine x86_64 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 5.96 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 = 0.12256 (10) Left_Lateral_Ventricle (4): linear fit = 0.44 x + 0.0 (4045 voxels, overlap=0.013) Left_Lateral_Ventricle (4): linear fit = 0.44 x + 0.0 (4045 voxels, peak = 9), gca=8.9 gca peak = 0.17677 (13) mri peak = 0.11503 ( 9) Right_Lateral_Ventricle (43): linear fit = 0.51 x + 0.0 (3851 voxels, overlap=0.422) Right_Lateral_Ventricle (43): linear fit = 0.51 x + 0.0 (3851 voxels, peak = 7), gca=6.7 gca peak = 0.28129 (95) mri peak = 0.09465 (89) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (482 voxels, overlap=1.011) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (482 voxels, peak = 93), gca=92.6 gca peak = 0.16930 (96) mri peak = 0.13098 (95) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (411 voxels, overlap=0.984) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (411 voxels, peak = 96), gca=95.5 gca peak = 0.24553 (55) mri peak = 0.11676 (52) Right_Hippocampus: unreasonable value (49.8/52.0), not in range [50, 90] - rejecting gca peak = 0.30264 (59) mri peak = 0.09634 (53) Left_Hippocampus (17): linear fit = 0.89 x + 0.0 (644 voxels, overlap=1.010) Left_Hippocampus (17): linear fit = 0.89 x + 0.0 (644 voxels, peak = 53), gca=52.8 gca peak = 0.07580 (103) mri peak = 0.08201 (103) Right_Cerebral_White_Matter (41): linear fit = 1.02 x + 0.0 (29066 voxels, overlap=0.643) Right_Cerebral_White_Matter (41): linear fit = 1.02 x + 0.0 (29066 voxels, peak = 106), gca=105.6 gca peak = 0.07714 (104) mri peak = 0.08256 (105) Left_Cerebral_White_Matter (2): linear fit = 1.03 x + 0.0 (27597 voxels, overlap=0.612) Left_Cerebral_White_Matter (2): linear fit = 1.03 x + 0.0 (27597 voxels, peak = 108), gca=107.6 gca peak = 0.09712 (58) mri peak = 0.03685 (63) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (14519 voxels, overlap=0.966) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (14519 voxels, peak = 59), gca=59.4 gca peak = 0.11620 (58) mri peak = 0.03631 (60) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (14598 voxels, overlap=0.985) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (14598 voxels, peak = 59), gca=59.4 gca peak = 0.30970 (66) mri peak = 0.09336 (73) Right_Caudate (50): linear fit = 1.07 x + 0.0 (888 voxels, overlap=1.007) Right_Caudate (50): linear fit = 1.07 x + 0.0 (888 voxels, peak = 70), gca=70.3 gca peak = 0.15280 (69) mri peak = 0.11620 (72) Left_Caudate (11): linear fit = 0.96 x + 0.0 (730 voxels, overlap=1.000) Left_Caudate (11): linear fit = 0.96 x + 0.0 (730 voxels, peak = 67), gca=66.6 gca peak = 0.13902 (56) mri peak = 0.05181 (54) Left_Cerebellum_Cortex (8): linear fit = 0.96 x + 0.0 (16713 voxels, overlap=0.999) Left_Cerebellum_Cortex (8): linear fit = 0.96 x + 0.0 (16713 voxels, peak = 54), gca=54.0 gca peak = 0.14777 (55) mri peak = 0.05663 (57) Right_Cerebellum_Cortex (47): linear fit = 0.94 x + 0.0 (17089 voxels, overlap=0.962) Right_Cerebellum_Cortex (47): linear fit = 0.94 x + 0.0 (17089 voxels, peak = 52), gca=52.0 gca peak = 0.16765 (84) mri peak = 0.06999 (80) Left_Cerebellum_White_Matter (7): linear fit = 0.98 x + 0.0 (4364 voxels, overlap=0.996) Left_Cerebellum_White_Matter (7): linear fit = 0.98 x + 0.0 (4364 voxels, peak = 82), gca=81.9 gca peak = 0.18739 (84) mri peak = 0.13331 (80) Right_Cerebellum_White_Matter (46): linear fit = 0.94 x + 0.0 (4743 voxels, overlap=0.994) Right_Cerebellum_White_Matter (46): linear fit = 0.94 x + 0.0 (4743 voxels, peak = 79), gca=79.4 gca peak = 0.29869 (57) mri peak = 0.12312 (55) Left_Amygdala (18): linear fit = 0.93 x + 0.0 (355 voxels, overlap=1.024) Left_Amygdala (18): linear fit = 0.93 x + 0.0 (355 voxels, peak = 53), gca=52.7 gca peak = 0.33601 (57) mri peak = 0.09816 (52) Right_Amygdala (54): linear fit = 0.94 x + 0.0 (388 voxels, overlap=1.014) Right_Amygdala (54): linear fit = 0.94 x + 0.0 (388 voxels, peak = 54), gca=53.9 gca peak = 0.11131 (90) mri peak = 0.08296 (87) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (2943 voxels, overlap=0.804) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (2943 voxels, peak = 88), gca=87.8 gca peak = 0.11793 (83) mri peak = 0.10993 (84) Right_Thalamus_Proper (49): linear fit = 1.00 x + 0.0 (2856 voxels, overlap=0.974) Right_Thalamus_Proper (49): linear fit = 1.00 x + 0.0 (2856 voxels, peak = 83), gca=82.6 gca peak = 0.08324 (81) mri peak = 0.08093 (70) Left_Putamen (12): linear fit = 0.96 x + 0.0 (1383 voxels, overlap=0.926) Left_Putamen (12): linear fit = 0.96 x + 0.0 (1383 voxels, peak = 78), gca=78.2 gca peak = 0.10360 (77) mri peak = 0.06295 (73) Right_Putamen (51): linear fit = 0.95 x + 0.0 (1194 voxels, overlap=0.913) Right_Putamen (51): linear fit = 0.95 x + 0.0 (1194 voxels, peak = 74), gca=73.5 gca peak = 0.08424 (78) mri peak = 0.10918 (83) Brain_Stem (16): linear fit = 1.05 x + 0.0 (9602 voxels, overlap=0.476) Brain_Stem (16): linear fit = 1.05 x + 0.0 (9602 voxels, peak = 82), gca=82.3 gca peak = 0.12631 (89) mri peak = 0.06850 (84) Right_VentralDC (60): linear fit = 1.08 x + 0.0 (970 voxels, overlap=0.818) Right_VentralDC (60): linear fit = 1.08 x + 0.0 (970 voxels, peak = 96), gca=95.7 gca peak = 0.14500 (87) mri peak = 0.06607 (94) Left_VentralDC (28): linear fit = 1.07 x + 0.0 (1132 voxels, overlap=0.843) Left_VentralDC (28): linear fit = 1.07 x + 0.0 (1132 voxels, peak = 93), gca=92.7 gca peak = 0.14975 (24) mri peak = 0.10391 ( 7) Third_Ventricle (14): linear fit = 0.38 x + 0.0 (79 voxels, overlap=0.052) Third_Ventricle (14): linear fit = 0.38 x + 0.0 (79 voxels, peak = 9), gca=9.0 gca peak = 0.19357 (14) mri peak = 0.21477 (13) Fourth_Ventricle (15): linear fit = 0.74 x + 0.0 (182 voxels, overlap=0.252) Fourth_Ventricle (15): linear fit = 0.74 x + 0.0 (182 voxels, peak = 10), gca=10.3 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 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_Hippocampus = 0.24553 (55) 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 Right_Hippocampus based on Left_Hippocampus = 0.89 x + 0: 53 estimating mean gm scale to be 0.95 x + 0.0 estimating mean wm scale to be 1.03 x + 0.0 estimating mean csf scale to be 0.56 x + 0.0 saving intensity scales to aseg.auto_noCCseg.label_intensities.txt renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.29485 ( 9) mri peak = 0.12256 (10) Left_Lateral_Ventricle (4): linear fit = 1.05 x + 0.0 (4045 voxels, overlap=0.997) Left_Lateral_Ventricle (4): linear fit = 1.05 x + 0.0 (4045 voxels, peak = 9), gca=9.5 gca peak = 0.29808 ( 7) mri peak = 0.11503 ( 9) Right_Lateral_Ventricle (43): linear fit = 1.08 x + 0.0 (3851 voxels, overlap=0.964) Right_Lateral_Ventricle (43): linear fit = 1.08 x + 0.0 (3851 voxels, peak = 8), gca=7.5 gca peak = 0.24501 (92) mri peak = 0.09465 (89) Right_Pallidum (52): linear fit = 1.00 x + 0.0 (482 voxels, overlap=1.004) Right_Pallidum (52): linear fit = 1.00 x + 0.0 (482 voxels, peak = 92), gca=91.5 gca peak = 0.18389 (96) mri peak = 0.13098 (95) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (411 voxels, overlap=0.955) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (411 voxels, peak = 97), gca=97.4 gca peak = 0.30243 (50) mri peak = 0.11676 (52) Right_Hippocampus (53): linear fit = 1.01 x + 0.0 (738 voxels, overlap=0.993) Right_Hippocampus (53): linear fit = 1.01 x + 0.0 (738 voxels, peak = 51), gca=50.8 gca peak = 0.30644 (53) mri peak = 0.09634 (53) Left_Hippocampus (17): linear fit = 1.00 x + 0.0 (644 voxels, overlap=1.001) Left_Hippocampus (17): linear fit = 1.00 x + 0.0 (644 voxels, peak = 53), gca=53.0 gca peak = 0.07615 (105) mri peak = 0.08201 (103) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (29066 voxels, overlap=0.749) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (29066 voxels, peak = 104), gca=104.5 gca peak = 0.07663 (108) mri peak = 0.08256 (105) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (27597 voxels, overlap=0.751) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (27597 voxels, peak = 107), gca=107.5 gca peak = 0.09495 (59) mri peak = 0.03685 (63) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (14519 voxels, overlap=0.977) Left_Cerebral_Cortex (3): linear fit = 1.02 x + 0.0 (14519 voxels, peak = 60), gca=60.5 gca peak = 0.11333 (59) mri peak = 0.03631 (60) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (14598 voxels, overlap=0.989) Right_Cerebral_Cortex (42): linear fit = 1.02 x + 0.0 (14598 voxels, peak = 60), gca=60.5 gca peak = 0.26196 (71) mri peak = 0.09336 (73) Right_Caudate (50): linear fit = 0.99 x + 0.0 (888 voxels, overlap=1.007) Right_Caudate (50): linear fit = 0.99 x + 0.0 (888 voxels, peak = 70), gca=69.9 gca peak = 0.14126 (66) mri peak = 0.11620 (72) Left_Caudate (11): linear fit = 1.01 x + 0.0 (730 voxels, overlap=0.990) Left_Caudate (11): linear fit = 1.01 x + 0.0 (730 voxels, peak = 67), gca=67.0 gca peak = 0.14774 (54) mri peak = 0.05181 (54) Left_Cerebellum_Cortex (8): linear fit = 1.00 x + 0.0 (16713 voxels, overlap=1.000) Left_Cerebellum_Cortex (8): linear fit = 1.00 x + 0.0 (16713 voxels, peak = 54), gca=54.0 gca peak = 0.15473 (52) mri peak = 0.05663 (57) Right_Cerebellum_Cortex (47): linear fit = 1.00 x + 0.0 (17089 voxels, overlap=0.999) Right_Cerebellum_Cortex (47): linear fit = 1.00 x + 0.0 (17089 voxels, peak = 52), gca=52.0 gca peak = 0.17082 (82) mri peak = 0.06999 (80) Left_Cerebellum_White_Matter (7): linear fit = 1.00 x + 0.0 (4364 voxels, overlap=0.988) Left_Cerebellum_White_Matter (7): linear fit = 1.00 x + 0.0 (4364 voxels, peak = 82), gca=81.6 gca peak = 0.16505 (79) mri peak = 0.13331 (80) Right_Cerebellum_White_Matter (46): linear fit = 1.01 x + 0.0 (4743 voxels, overlap=0.942) Right_Cerebellum_White_Matter (46): linear fit = 1.01 x + 0.0 (4743 voxels, peak = 80), gca=80.2 gca peak = 0.34672 (54) mri peak = 0.12312 (55) Left_Amygdala (18): linear fit = 1.07 x + 0.0 (355 voxels, overlap=1.012) Left_Amygdala (18): linear fit = 1.07 x + 0.0 (355 voxels, peak = 58), gca=57.5 gca peak = 0.43894 (54) mri peak = 0.09816 (52) Right_Amygdala (54): linear fit = 1.07 x + 0.0 (388 voxels, overlap=1.007) Right_Amygdala (54): linear fit = 1.07 x + 0.0 (388 voxels, peak = 58), gca=57.5 gca peak = 0.11278 (86) mri peak = 0.08296 (87) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (2943 voxels, overlap=0.969) Left_Thalamus_Proper (10): linear fit = 1.00 x + 0.0 (2943 voxels, peak = 86), gca=85.6 gca peak = 0.09965 (80) mri peak = 0.10993 (84) Right_Thalamus_Proper (49): linear fit = 1.01 x + 0.0 (2856 voxels, overlap=0.970) Right_Thalamus_Proper (49): linear fit = 1.01 x + 0.0 (2856 voxels, peak = 81), gca=81.2 gca peak = 0.08891 (78) mri peak = 0.08093 (70) Left_Putamen (12): linear fit = 1.01 x + 0.0 (1383 voxels, overlap=0.945) Left_Putamen (12): linear fit = 1.01 x + 0.0 (1383 voxels, peak = 79), gca=79.2 gca peak = 0.11278 (72) mri peak = 0.06295 (73) Right_Putamen (51): linear fit = 1.00 x + 0.0 (1194 voxels, overlap=0.977) Right_Putamen (51): linear fit = 1.00 x + 0.0 (1194 voxels, peak = 72), gca=72.0 gca peak = 0.07175 (83) mri peak = 0.10918 (83) Brain_Stem (16): linear fit = 1.00 x + 0.0 (9602 voxels, overlap=0.704) Brain_Stem (16): linear fit = 1.00 x + 0.0 (9602 voxels, peak = 83), gca=82.6 gca peak = 0.09690 (95) mri peak = 0.06850 (84) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (970 voxels, overlap=0.891) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (970 voxels, peak = 95), gca=95.5 gca peak = 0.16796 (91) mri peak = 0.06607 (94) Left_VentralDC (28): linear fit = 1.00 x + 0.0 (1132 voxels, overlap=0.931) Left_VentralDC (28): linear fit = 1.00 x + 0.0 (1132 voxels, peak = 91), gca=90.5 gca peak = 0.28537 (15) mri peak = 0.10391 ( 7) Third_Ventricle (14): linear fit = 0.65 x + 0.0 (79 voxels, overlap=0.598) Third_Ventricle (14): linear fit = 0.65 x + 0.0 (79 voxels, peak = 10), gca=9.8 gca peak = 0.22767 (12) mri peak = 0.21477 (13) Fourth_Ventricle (15): linear fit = 1.02 x + 0.0 (182 voxels, overlap=0.779) Fourth_Ventricle (15): linear fit = 1.02 x + 0.0 (182 voxels, peak = 12), gca=12.3 gca peak Unknown = 0.94835 ( 0) gca peak Left_Inf_Lat_Vent = 0.19080 (30) gca peak Left_Thalamus = 0.72551 (90) gca peak Third_Ventricle = 0.28537 (15) gca peak CSF = 0.22930 (20) gca peak Left_Accumbens_area = 0.78727 (60) gca peak Left_undetermined = 1.00000 (26) gca peak Left_vessel = 0.75916 (52) gca peak Left_choroid_plexus = 0.12089 (35) gca peak Right_Inf_Lat_Vent = 0.28699 (21) gca peak Right_Accumbens_area = 0.29884 (69) gca peak Right_vessel = 0.82036 (52) gca peak Right_choroid_plexus = 0.14516 (37) gca peak Fifth_Ventricle = 0.89470 (18) gca peak WM_hypointensities = 0.06973 (80) gca peak non_WM_hypointensities = 0.11678 (56) gca peak Optic_Chiasm = 0.70882 (75) not using caudate to estimate GM means estimating mean gm scale to be 1.03 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 1.05 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 53963 voxels changed in iteration 0 of unlikely voxel relabeling 125 voxels changed in iteration 1 of unlikely voxel relabeling 3 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 28282 gm and wm labels changed (%31 to gray, %69 to white out of all changed labels) 626 hippocampal voxels changed. 0 amygdala voxels changed. pass 1: 62454 changed. image ll: -2.079, PF=0.500 pass 2: 17669 changed. image ll: -2.079, PF=0.500 pass 3: 5726 changed. pass 4: 2178 changed. 32673 voxels changed in iteration 0 of unlikely voxel relabeling 260 voxels changed in iteration 1 of unlikely voxel relabeling 28 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 7399 voxels changed in iteration 0 of unlikely voxel relabeling 104 voxels changed in iteration 1 of unlikely voxel relabeling 14 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 6540 voxels changed in iteration 0 of unlikely voxel relabeling 108 voxels changed in iteration 1 of unlikely voxel relabeling 0 voxels changed in iteration 2 of unlikely voxel relabeling 5701 voxels changed in iteration 0 of unlikely voxel relabeling 23 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 3585.745883 mri_ca_label stimesec 2.089682 mri_ca_label ru_maxrss 2105212 mri_ca_label ru_ixrss 0 mri_ca_label ru_idrss 0 mri_ca_label ru_isrss 0 mri_ca_label ru_minflt 712589 mri_ca_label ru_majflt 0 mri_ca_label ru_nswap 0 mri_ca_label ru_inblock 0 mri_ca_label ru_oublock 440 mri_ca_label ru_msgsnd 0 mri_ca_label ru_msgrcv 0 mri_ca_label ru_nsignals 0 mri_ca_label ru_nvcsw 137 mri_ca_label ru_nivcsw 19681 auto-labeling took 59 minutes and 51 seconds. @#@FSTIME 2017:01:19:09:12:16 mri_ca_label N 10 e 3591.43 S 2.10 U 3585.74 P 99% M 2105212 F 0 R 712593 W 0 c 19682 w 139 I 0 O 440 L 3.00 3.00 3.00 @#@FSLOADPOST 2017:01:19:10:12:07 mri_ca_label N 10 7.13 7.08 6.88 mri_cc -aseg aseg.auto_noCCseg.mgz -o aseg.auto.mgz -lta /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/transforms/cc_up.lta 039 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/stable6/039/mri/transforms/cc_up.lta reading aseg from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/aseg.auto_noCCseg.mgz reading norm from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/norm.mgz 19091 voxels in left wm, 21040 in right wm, xrange [124, 130] searching rotation angles z=[-5 9], y=[-7 7] searching scale 1 Z rot -5.3 searching scale 1 Z rot -5.0 searching scale 1 Z rot -4.8 searching scale 1 Z rot -4.5 searching scale 1 Z rot -4.3 searching scale 1 Z rot -4.0 searching scale 1 Z rot -3.8 searching scale 1 Z rot -3.5 searching scale 1 Z rot -3.3 searching scale 1 Z rot -3.0 searching scale 1 Z rot -2.8 searching scale 1 Z rot -2.5 searching scale 1 Z rot -2.3 searching scale 1 Z rot -2.0 searching scale 1 Z rot -1.8 searching scale 1 Z rot -1.5 searching scale 1 Z rot -1.3 searching scale 1 Z rot -1.0 searching scale 1 Z rot -0.8 searching scale 1 Z rot -0.5 searching scale 1 Z rot -0.3 searching scale 1 Z rot -0.0 searching scale 1 Z rot 0.2 searching scale 1 Z rot 0.5 searching scale 1 Z rot 0.7 searching scale 1 Z rot 1.0 searching scale 1 Z rot 1.2 searching scale 1 Z rot 1.5 searching scale 1 Z rot 1.7 searching scale 1 Z rot 2.0 searching scale 1 Z rot 2.2 searching scale 1 Z rot 2.5 searching scale 1 Z rot 2.7 searching scale 1 Z rot 3.0 searching scale 1 Z rot 3.2 searching scale 1 Z rot 3.5 searching scale 1 Z rot 3.7 searching scale 1 Z rot 4.0 searching scale 1 Z rot 4.2 searching scale 1 Z rot 4.5 searching scale 1 Z rot 4.7 searching scale 1 Z rot 5.0 searching scale 1 Z rot 5.2 searching scale 1 Z rot 5.5 searching scale 1 Z rot 5.7 searching scale 1 Z rot 6.0 searching scale 1 Z rot 6.2 searching scale 1 Z rot 6.5 searching scale 1 Z rot 6.7 searching scale 1 Z rot 7.0 searching scale 1 Z rot 7.2 searching scale 1 Z rot 7.5 searching scale 1 Z rot 7.7 searching scale 1 Z rot 8.0 searching scale 1 Z rot 8.2 searching scale 1 Z rot 8.5 global minimum found at slice 126.5, rotations (-0.37, 1.74) final transformation (x=126.5, yr=-0.371, zr=1.743): 0.99952 -0.03041 -0.00647 5.90937; 0.03041 0.99954 -0.00020 -0.77274; 0.00647 0.00000 0.99998 35.18339; 0.00000 0.00000 0.00000 1.00000; updating x range to be [125, 130] in xformed coordinates best xformed slice 127 cc center is found at 127 125 92 eigenvectors: 0.00060 -0.00100 1.00000; -0.24516 -0.96948 -0.00082; 0.96948 -0.24516 -0.00083; error in mid anterior detected - correcting... writing aseg with callosum to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/aseg.auto.mgz... corpus callosum segmentation took 0.7 minutes @#@FSTIME 2017:01:19:10:12:07 mri_cc N 7 e 40.29 S 0.12 U 39.89 P 99% M 141548 F 0 R 49342 W 0 c 413 w 58 I 0 O 424 L 7.13 7.08 6.88 @#@FSLOADPOST 2017:01:19:10:12:48 mri_cc N 7 7.07 7.07 6.88 #-------------------------------------- #@# Merge ASeg Thu Jan 19 10:12:48 EST 2017 cp aseg.auto.mgz aseg.presurf.mgz #-------------------------------------------- #@# Intensity Normalization2 Thu Jan 19 10:12:48 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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... 770 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 61 (61), valley at 19 (19) csf peak at 31, setting threshold to 51 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 60 (60), valley at 19 (19) csf peak at 30, setting threshold to 50 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to brain.mgz 3D bias adjustment took 3 minutes and 55 seconds. @#@FSTIME 2017:01:19:10:12:48 mri_normalize N 7 e 238.77 S 1.74 U 236.60 P 99% M 1113072 F 0 R 595714 W 0 c 5091 w 101 I 0 O 2296 L 7.07 7.07 6.88 @#@FSLOADPOST 2017:01:19:10:16:47 mri_normalize N 7 7.05 7.06 6.91 #-------------------------------------------- #@# Mask BFS Thu Jan 19 10:16:47 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_mask -T 5 brain.mgz brainmask.mgz brain.finalsurfs.mgz threshold mask volume at 5 DoAbs = 0 Found 1336866 voxels in mask (pct= 7.97) Writing masked volume to brain.finalsurfs.mgz...done. @#@FSTIME 2017:01:19:10:16:47 mri_mask N 5 e 4.14 S 0.05 U 3.59 P 88% M 71896 F 0 R 18811 W 0 c 166 w 95 I 0 O 2280 L 7.05 7.06 6.91 @#@FSLOADPOST 2017:01:19:10:16:51 mri_mask N 5 7.05 7.06 6.91 #-------------------------------------------- #@# WM Segmentation Thu Jan 19 10:16:51 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): 106.0 +- 5.0 [79.0 --> 125.0] GM (69.0) : 67.1 +- 9.9 [30.0 --> 95.0] setting bottom of white matter range to 77.1 setting top of gray matter range to 87.0 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... 4936 sparsely connected voxels removed... thickening thin strands.... 20 segments, 3500 filled 2337 bright non-wm voxels segmented. 2868 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 2017:01:19:10:16:51 mri_segment N 3 e 96.87 S 0.72 U 96.00 P 99% M 157448 F 0 R 246030 W 0 c 182 w 46 I 0 O 760 L 7.05 7.06 6.91 @#@FSLOADPOST 2017:01:19:10:18:28 mri_segment N 3 7.01 7.04 6.91 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 0.73 minutes reading wm segmentation from wm.seg.mgz... 90 voxels added to wm to prevent paths from MTL structures to cortex 3125 additional wm voxels added 0 additional wm voxels added SEG EDIT: 63175 voxels turned on, 18800 voxels turned off. propagating editing to output volume from wm.seg.mgz 115,126,128 old 0 new 0 115,126,128 old 0 new 0 writing edited volume to wm.asegedit.mgz.... @#@FSTIME 2017:01:19:10:18:28 mri_edit_wm_with_aseg N 5 e 43.58 S 0.24 U 43.02 P 99% M 156712 F 0 R 85616 W 0 c 727 w 91 I 0 O 720 L 7.01 7.04 6.91 @#@FSLOADPOST 2017:01:19:10:19:12 mri_edit_wm_with_aseg N 5 7.00 7.03 6.91 mri_pretess wm.asegedit.mgz wm norm.mgz wm.mgz Iteration Number : 1 pass 1 (xy+): 18 found - 18 modified | TOTAL: 18 pass 2 (xy+): 0 found - 18 modified | TOTAL: 18 pass 1 (xy-): 21 found - 21 modified | TOTAL: 39 pass 2 (xy-): 0 found - 21 modified | TOTAL: 39 pass 1 (yz+): 17 found - 17 modified | TOTAL: 56 pass 2 (yz+): 0 found - 17 modified | TOTAL: 56 pass 1 (yz-): 14 found - 14 modified | TOTAL: 70 pass 2 (yz-): 0 found - 14 modified | TOTAL: 70 pass 1 (xz+): 9 found - 9 modified | TOTAL: 79 pass 2 (xz+): 0 found - 9 modified | TOTAL: 79 pass 1 (xz-): 11 found - 11 modified | TOTAL: 90 pass 2 (xz-): 0 found - 11 modified | TOTAL: 90 Iteration Number : 1 pass 1 (+++): 16 found - 16 modified | TOTAL: 16 pass 2 (+++): 0 found - 16 modified | TOTAL: 16 pass 1 (+++): 14 found - 14 modified | TOTAL: 30 pass 2 (+++): 0 found - 14 modified | TOTAL: 30 pass 1 (+++): 25 found - 25 modified | TOTAL: 55 pass 2 (+++): 0 found - 25 modified | TOTAL: 55 pass 1 (+++): 22 found - 22 modified | TOTAL: 77 pass 2 (+++): 0 found - 22 modified | TOTAL: 77 Iteration Number : 1 pass 1 (++): 88 found - 88 modified | TOTAL: 88 pass 2 (++): 0 found - 88 modified | TOTAL: 88 pass 1 (+-): 90 found - 90 modified | TOTAL: 178 pass 2 (+-): 0 found - 90 modified | TOTAL: 178 pass 1 (--): 74 found - 74 modified | TOTAL: 252 pass 2 (--): 0 found - 74 modified | TOTAL: 252 pass 1 (-+): 83 found - 83 modified | TOTAL: 335 pass 2 (-+): 0 found - 83 modified | TOTAL: 335 Iteration Number : 2 pass 1 (xy+): 10 found - 10 modified | TOTAL: 10 pass 2 (xy+): 0 found - 10 modified | TOTAL: 10 pass 1 (xy-): 9 found - 9 modified | TOTAL: 19 pass 2 (xy-): 0 found - 9 modified | TOTAL: 19 pass 1 (yz+): 10 found - 10 modified | TOTAL: 29 pass 2 (yz+): 0 found - 10 modified | TOTAL: 29 pass 1 (yz-): 3 found - 3 modified | TOTAL: 32 pass 2 (yz-): 0 found - 3 modified | TOTAL: 32 pass 1 (xz+): 3 found - 3 modified | TOTAL: 35 pass 2 (xz+): 0 found - 3 modified | TOTAL: 35 pass 1 (xz-): 3 found - 3 modified | TOTAL: 38 pass 2 (xz-): 0 found - 3 modified | TOTAL: 38 Iteration Number : 2 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 (+++): 2 found - 2 modified | TOTAL: 4 pass 2 (+++): 0 found - 2 modified | TOTAL: 4 Iteration Number : 2 pass 1 (++): 1 found - 1 modified | TOTAL: 1 pass 2 (++): 0 found - 1 modified | TOTAL: 1 pass 1 (+-): 4 found - 4 modified | TOTAL: 5 pass 2 (+-): 0 found - 4 modified | TOTAL: 5 pass 1 (--): 0 found - 0 modified | TOTAL: 5 pass 1 (-+): 4 found - 4 modified | TOTAL: 9 pass 2 (-+): 0 found - 4 modified | TOTAL: 9 Iteration Number : 3 pass 1 (xy+): 2 found - 2 modified | TOTAL: 2 pass 2 (xy+): 0 found - 2 modified | TOTAL: 2 pass 1 (xy-): 1 found - 1 modified | TOTAL: 3 pass 2 (xy-): 0 found - 1 modified | TOTAL: 3 pass 1 (yz+): 1 found - 1 modified | TOTAL: 4 pass 2 (yz+): 0 found - 1 modified | TOTAL: 4 pass 1 (yz-): 0 found - 0 modified | TOTAL: 4 pass 1 (xz+): 1 found - 1 modified | TOTAL: 5 pass 2 (xz+): 0 found - 1 modified | TOTAL: 5 pass 1 (xz-): 0 found - 0 modified | TOTAL: 5 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 = 559 (out of 469581: 0.119042) binarizing input wm segmentation... Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:19:12 mri_pretess N 4 e 5.23 S 0.04 U 5.02 P 96% M 54792 F 0 R 13871 W 0 c 257 w 56 I 0 O 720 L 7.00 7.03 6.91 @#@FSLOADPOST 2017:01:19:10:19:17 mri_pretess N 4 7.00 7.03 6.91 #-------------------------------------------- #@# Fill Thu Jan 19 10:19:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36945; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; voxel to talairach voxel transform 1.08239 0.00281 0.01912 -13.52055; -0.00885 1.12045 0.41444 -82.36945; -0.01774 -0.38883 0.96295 66.62395; 0.00000 0.00000 0.00000 1.00000; reading segmented volume aseg.auto_noCCseg.mgz... Looking for area (min, max) = (350, 1400) area[0] = 1157 (min = 350, max = 1400), aspect = 0.44 (min = 0.10, max = 0.75) no need to search using seed (127, 119, 153), TAL = (1.0, 25.0, 9.0) talairach voxel to voxel transform 0.92358 -0.00756 -0.01509 12.87008; 0.00087 0.77651 -0.33422 86.23988; 0.01737 0.31341 0.90324 -34.12772; 0.00000 0.00000 0.00000 1.00000; segmentation indicates cc at (127, 119, 153) --> (1.0, 25.0, 9.0) done. writing output to filled.mgz... filling took 0.8 minutes talairach cc position changed to (1.00, 25.00, 9.00) Erasing brainstem...done. seed_search_size = 9, min_neighbors = 5 search rh wm seed point around talairach space:(19.00, 25.00, 9.00) SRC: (110.33, 127.60, 143.26) search lh wm seed point around talairach space (-17.00, 25.00, 9.00), SRC: (143.58, 127.64, 143.88) 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 2017:01:19:10:19:17 mri_fill N 8 e 51.39 S 0.30 U 50.85 P 99% M 190336 F 0 R 114857 W 0 c 435 w 60 I 0 O 240 L 7.00 7.03 6.91 @#@FSLOADPOST 2017:01:19:10:20:09 mri_fill N 8 7.00 7.02 6.91 #-------------------------------------------- #@# Tessellate lh Thu Jan 19 10:20:09 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mri_pretess ../mri/filled.mgz 255 ../mri/norm.mgz ../mri/filled-pretess255.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+): 1 found - 1 modified | TOTAL: 2 pass 2 (yz+): 0 found - 1 modified | TOTAL: 2 pass 1 (yz-): 2 found - 2 modified | TOTAL: 4 pass 2 (yz-): 0 found - 2 modified | TOTAL: 4 pass 1 (xz+): 1 found - 1 modified | TOTAL: 5 pass 2 (xz+): 0 found - 1 modified | TOTAL: 5 pass 1 (xz-): 3 found - 3 modified | TOTAL: 8 pass 2 (xz-): 0 found - 3 modified | TOTAL: 8 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 (+-): 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 : 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 = 10 (out of 228489: 0.004377) Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:20:09 mri_pretess N 4 e 3.06 S 0.03 U 2.84 P 94% M 38284 F 0 R 9697 W 0 c 145 w 53 I 0 O 232 L 7.00 7.02 6.91 @#@FSLOADPOST 2017:01:19:10:20:12 mri_pretess N 4 7.00 7.02 6.91 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: 2627 vertices, 2816 faces slice 50: 10524 vertices, 10869 faces slice 60: 21166 vertices, 21547 faces slice 70: 32369 vertices, 32753 faces slice 80: 42971 vertices, 43337 faces slice 90: 53265 vertices, 53644 faces slice 100: 63634 vertices, 64001 faces slice 110: 73252 vertices, 73629 faces slice 120: 82362 vertices, 82730 faces slice 130: 91751 vertices, 92117 faces slice 140: 99384 vertices, 99672 faces slice 150: 106432 vertices, 106708 faces slice 160: 112309 vertices, 112558 faces slice 170: 117046 vertices, 117230 faces slice 180: 119804 vertices, 119918 faces slice 190: 119988 vertices, 120050 faces slice 200: 119988 vertices, 120050 faces slice 210: 119988 vertices, 120050 faces slice 220: 119988 vertices, 120050 faces slice 230: 119988 vertices, 120050 faces slice 240: 119988 vertices, 120050 faces slice 250: 119988 vertices, 120050 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 2017:01:19:10:20:12 mri_tessellate N 3 e 3.01 S 0.02 U 2.82 P 94% M 38956 F 0 R 6534 W 0 c 119 w 124 I 0 O 5632 L 7.00 7.02 6.91 @#@FSLOADPOST 2017:01:19:10:20:15 mri_tessellate N 3 7.00 7.02 6.91 rm -f ../mri/filled-pretess255.mgz mris_extract_main_component ../surf/lh.orig.nofix ../surf/lh.orig.nofix counting number of connected components... 119980 voxel in cpt #1: X=-64 [v=119980,e=360132,f=240088] located at (-25.267937, -29.680347, -9.319712) 8 voxel in cpt #2: X=2 [v=8,e=18,f=12] located at (0.000000, -3.000000, -10.000000) For the whole surface: X=-62 [v=119988,e=360150,f=240100] 2 components have been found keeping component #1 with 119980 vertices done @#@FSTIME 2017:01:19:10:20:15 mris_extract_main_component N 2 e 2.76 S 0.11 U 2.43 P 92% M 246240 F 0 R 24349 W 0 c 1222 w 144 I 0 O 8448 L 7.00 7.02 6.91 @#@FSLOADPOST 2017:01:19:10:20:18 mris_extract_main_component N 2 6.92 7.01 6.91 #-------------------------------------------- #@# Tessellate rh Thu Jan 19 10:20:18 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mri_pretess ../mri/filled.mgz 127 ../mri/norm.mgz ../mri/filled-pretess127.mgz Iteration Number : 1 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+): 2 found - 2 modified | TOTAL: 3 pass 2 (yz+): 0 found - 2 modified | TOTAL: 3 pass 1 (yz-): 1 found - 1 modified | TOTAL: 4 pass 2 (yz-): 0 found - 1 modified | TOTAL: 4 pass 1 (xz+): 0 found - 0 modified | TOTAL: 4 pass 1 (xz-): 1 found - 1 modified | TOTAL: 5 pass 2 (xz-): 0 found - 1 modified | TOTAL: 5 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 (+-): 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 (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 = 5 (out of 228224: 0.002191) Ambiguous edge configurations... mri_pretess done @#@FSTIME 2017:01:19:10:20:18 mri_pretess N 4 e 3.29 S 0.03 U 3.11 P 95% M 38280 F 0 R 9696 W 0 c 159 w 49 I 0 O 232 L 6.92 7.01 6.91 @#@FSLOADPOST 2017:01:19:10:20:21 mri_pretess N 4 6.93 7.01 6.91 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: 1245 vertices, 1384 faces slice 50: 7940 vertices, 8263 faces slice 60: 18097 vertices, 18501 faces slice 70: 29230 vertices, 29582 faces slice 80: 39592 vertices, 39977 faces slice 90: 50070 vertices, 50465 faces slice 100: 60518 vertices, 60916 faces slice 110: 70318 vertices, 70686 faces slice 120: 79935 vertices, 80296 faces slice 130: 89332 vertices, 89706 faces slice 140: 97351 vertices, 97660 faces slice 150: 104632 vertices, 104954 faces slice 160: 111466 vertices, 111714 faces slice 170: 116419 vertices, 116644 faces slice 180: 119659 vertices, 119783 faces slice 190: 120010 vertices, 120070 faces slice 200: 120010 vertices, 120070 faces slice 210: 120010 vertices, 120070 faces slice 220: 120010 vertices, 120070 faces slice 230: 120010 vertices, 120070 faces slice 240: 120010 vertices, 120070 faces slice 250: 120010 vertices, 120070 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 2017:01:19:10:20:22 mri_tessellate N 3 e 3.44 S 0.03 U 3.25 P 95% M 37536 F 0 R 7328 W 0 c 241 w 117 I 0 O 5632 L 6.93 7.01 6.91 @#@FSLOADPOST 2017:01:19:10:20:25 mri_tessellate N 3 6.93 7.01 6.91 rm -f ../mri/filled-pretess127.mgz mris_extract_main_component ../surf/rh.orig.nofix ../surf/rh.orig.nofix counting number of connected components... 120010 voxel in cpt #1: X=-60 [v=120010,e=360210,f=240140] located at (27.999292, -26.960337, -9.556396) For the whole surface: X=-60 [v=120010,e=360210,f=240140] One single component has been found nothing to do done @#@FSTIME 2017:01:19:10:20:25 mris_extract_main_component N 2 e 2.78 S 0.11 U 2.50 P 93% M 246428 F 0 R 24906 W 0 c 193 w 151 I 0 O 8448 L 6.93 7.01 6.91 @#@FSLOADPOST 2017:01:19:10:20:28 mris_extract_main_component N 2 6.93 7.01 6.91 #-------------------------------------------- #@# Smooth1 lh Thu Jan 19 10:20:28 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:10:20:28 mris_smooth N 5 e 6.07 S 0.08 U 5.78 P 96% M 154448 F 0 R 19830 W 0 c 214 w 154 I 0 O 8448 L 6.93 7.01 6.91 @#@FSLOADPOST 2017:01:19:10:20:34 mris_smooth N 5 6.94 7.00 6.91 #-------------------------------------------- #@# Smooth1 rh Thu Jan 19 10:20:34 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:10:20:34 mris_smooth N 5 e 6.11 S 0.07 U 5.84 P 96% M 154632 F 0 R 19876 W 0 c 610 w 148 I 0 O 8448 L 6.94 7.00 6.91 @#@FSLOADPOST 2017:01:19:10:20:40 mris_smooth N 5 6.95 7.00 6.91 #-------------------------------------------- #@# Inflation1 lh Thu Jan 19 10:20:40 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_inflate -no-save-sulc ../surf/lh.smoothwm.nofix ../surf/lh.inflated.nofix Not saving sulc Reading ../surf/lh.smoothwm.nofix avg radius = 45.4 mm, total surface area = 63358 mm^2 writing inflated surface to ../surf/lh.inflated.nofix inflation took 0.9 minutes step 000: RMS=0.154 (target=0.015) step 005: RMS=0.116 (target=0.015) step 010: RMS=0.088 (target=0.015) step 015: RMS=0.074 (target=0.015) step 020: RMS=0.064 (target=0.015) step 025: RMS=0.056 (target=0.015) step 030: RMS=0.051 (target=0.015) step 035: RMS=0.046 (target=0.015) step 040: RMS=0.043 (target=0.015) step 045: RMS=0.042 (target=0.015) step 050: RMS=0.040 (target=0.015) step 055: RMS=0.039 (target=0.015) step 060: RMS=0.038 (target=0.015) inflation complete. Not saving sulc mris_inflate utimesec 51.831120 mris_inflate stimesec 0.077988 mris_inflate ru_maxrss 154440 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 19825 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 8448 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 266 mris_inflate ru_nivcsw 223 @#@FSTIME 2017:01:19:10:20:41 mris_inflate N 3 e 52.12 S 0.08 U 51.83 P 99% M 154440 F 0 R 19828 W 0 c 226 w 268 I 0 O 8448 L 6.95 7.00 6.91 @#@FSLOADPOST 2017:01:19:10:21:33 mris_inflate N 3 6.97 7.00 6.91 #-------------------------------------------- #@# Inflation1 rh Thu Jan 19 10:21:33 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_inflate -no-save-sulc ../surf/rh.smoothwm.nofix ../surf/rh.inflated.nofix Not saving sulc Reading ../surf/rh.smoothwm.nofix avg radius = 45.0 mm, total surface area = 63061 mm^2 writing inflated surface to ../surf/rh.inflated.nofix inflation took 0.9 minutes step 000: RMS=0.155 (target=0.015) step 005: RMS=0.116 (target=0.015) step 010: RMS=0.087 (target=0.015) step 015: RMS=0.074 (target=0.015) step 020: RMS=0.063 (target=0.015) step 025: RMS=0.056 (target=0.015) step 030: RMS=0.052 (target=0.015) step 035: RMS=0.048 (target=0.015) step 040: RMS=0.046 (target=0.015) step 045: RMS=0.043 (target=0.015) step 050: RMS=0.042 (target=0.015) step 055: RMS=0.040 (target=0.015) step 060: RMS=0.039 (target=0.015) inflation complete. Not saving sulc mris_inflate utimesec 50.792278 mris_inflate stimesec 0.070989 mris_inflate ru_maxrss 154636 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 19874 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 8448 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 180 mris_inflate ru_nivcsw 224 @#@FSTIME 2017:01:19:10:21:33 mris_inflate N 3 e 51.06 S 0.08 U 50.79 P 99% M 154636 F 0 R 19877 W 0 c 226 w 182 I 0 O 8448 L 6.97 7.00 6.91 @#@FSLOADPOST 2017:01:19:10:22:24 mris_inflate N 3 6.92 6.98 6.91 #-------------------------------------------- #@# QSphere lh Thu Jan 19 10:22:24 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 1.04 +- 0.60 (0.00-->6.92) (max @ vno 92357 --> 92373) face area 0.03 +- 0.04 (-0.22-->0.73) == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.346... inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=175.342, avgs=0 005/300: dt: 0.9000, rms radial error=175.087, avgs=0 010/300: dt: 0.9000, rms radial error=174.537, avgs=0 015/300: dt: 0.9000, rms radial error=173.814, avgs=0 020/300: dt: 0.9000, rms radial error=172.991, avgs=0 025/300: dt: 0.9000, rms radial error=172.110, avgs=0 030/300: dt: 0.9000, rms radial error=171.196, avgs=0 035/300: dt: 0.9000, rms radial error=170.264, avgs=0 040/300: dt: 0.9000, rms radial error=169.323, avgs=0 045/300: dt: 0.9000, rms radial error=168.379, avgs=0 050/300: dt: 0.9000, rms radial error=167.434, avgs=0 055/300: dt: 0.9000, rms radial error=166.491, avgs=0 060/300: dt: 0.9000, rms radial error=165.552, avgs=0 065/300: dt: 0.9000, rms radial error=164.620, avgs=0 070/300: dt: 0.9000, rms radial error=163.696, avgs=0 075/300: dt: 0.9000, rms radial error=162.775, avgs=0 080/300: dt: 0.9000, rms radial error=161.859, avgs=0 085/300: dt: 0.9000, rms radial error=160.948, avgs=0 090/300: dt: 0.9000, rms radial error=160.041, avgs=0 095/300: dt: 0.9000, rms radial error=159.139, avgs=0 100/300: dt: 0.9000, rms radial error=158.243, avgs=0 105/300: dt: 0.9000, rms radial error=157.351, avgs=0 110/300: dt: 0.9000, rms radial error=156.465, avgs=0 115/300: dt: 0.9000, rms radial error=155.587, avgs=0 120/300: dt: 0.9000, rms radial error=154.713, avgs=0 125/300: dt: 0.9000, rms radial error=153.844, avgs=0 130/300: dt: 0.9000, rms radial error=152.980, avgs=0 135/300: dt: 0.9000, rms radial error=152.120, avgs=0 140/300: dt: 0.9000, rms radial error=151.265, avgs=0 145/300: dt: 0.9000, rms radial error=150.415, avgs=0 150/300: dt: 0.9000, rms radial error=149.569, avgs=0 155/300: dt: 0.9000, rms radial error=148.728, avgs=0 160/300: dt: 0.9000, rms radial error=147.891, avgs=0 165/300: dt: 0.9000, rms radial error=147.059, avgs=0 170/300: dt: 0.9000, rms radial error=146.231, avgs=0 175/300: dt: 0.9000, rms radial error=145.408, avgs=0 180/300: dt: 0.9000, rms radial error=144.589, avgs=0 185/300: dt: 0.9000, rms radial error=143.775, avgs=0 190/300: dt: 0.9000, rms radial error=142.966, avgs=0 195/300: dt: 0.9000, rms radial error=142.161, avgs=0 200/300: dt: 0.9000, rms radial error=141.361, avgs=0 205/300: dt: 0.9000, rms radial error=140.565, avgs=0 210/300: dt: 0.9000, rms radial error=139.773, avgs=0 215/300: dt: 0.9000, rms radial error=138.985, avgs=0 220/300: dt: 0.9000, rms radial error=138.202, avgs=0 225/300: dt: 0.9000, rms radial error=137.423, avgs=0 230/300: dt: 0.9000, rms radial error=136.648, avgs=0 235/300: dt: 0.9000, rms radial error=135.877, avgs=0 240/300: dt: 0.9000, rms radial error=135.111, avgs=0 245/300: dt: 0.9000, rms radial error=134.350, avgs=0 250/300: dt: 0.9000, rms radial error=133.593, avgs=0 255/300: dt: 0.9000, rms radial error=132.840, avgs=0 260/300: dt: 0.9000, rms radial error=132.091, avgs=0 265/300: dt: 0.9000, rms radial error=131.346, avgs=0 270/300: dt: 0.9000, rms radial error=130.606, avgs=0 275/300: dt: 0.9000, rms radial error=129.870, avgs=0 280/300: dt: 0.9000, rms radial error=129.137, avgs=0 285/300: dt: 0.9000, rms radial error=128.409, avgs=0 290/300: dt: 0.9000, rms radial error=127.685, avgs=0 295/300: dt: 0.9000, rms radial error=126.965, avgs=0 300/300: dt: 0.9000, rms radial error=126.249, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 13542.37 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00016 epoch 2 (K=40.0), pass 1, starting sse = 2138.60 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00036 epoch 3 (K=160.0), pass 1, starting sse = 201.22 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.11/11 = 0.00985 epoch 4 (K=640.0), pass 1, starting sse = 11.70 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.08/12 = 0.00636 final distance error %26.33 writing spherical brain to ../surf/lh.qsphere.nofix spherical transformation took 0.08 hours mris_sphere utimesec 300.081380 mris_sphere stimesec 0.094985 mris_sphere ru_maxrss 154632 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 20382 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 8448 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 161 mris_sphere ru_nivcsw 780 FSRUNTIME@ mris_sphere 0.0834 hours 1 threads @#@FSTIME 2017:01:19:10:22:24 mris_sphere N 5 e 300.45 S 0.10 U 300.08 P 99% M 154632 F 0 R 20386 W 0 c 782 w 163 I 0 O 8448 L 6.92 6.98 6.91 @#@FSLOADPOST 2017:01:19:10:27:25 mris_sphere N 5 7.26 7.10 6.96 #-------------------------------------------- #@# QSphere rh Thu Jan 19 10:27:25 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 1.05 +- 0.59 (0.00-->7.09) (max @ vno 92493 --> 92494) face area 0.03 +- 0.04 (-0.22-->0.86) == Number of threads available to mris_sphere for OpenMP = 1 == scaling brain by 0.349... inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=175.240, avgs=0 005/300: dt: 0.9000, rms radial error=174.982, avgs=0 010/300: dt: 0.9000, rms radial error=174.426, avgs=0 015/300: dt: 0.9000, rms radial error=173.697, avgs=0 020/300: dt: 0.9000, rms radial error=172.867, avgs=0 025/300: dt: 0.9000, rms radial error=171.980, avgs=0 030/300: dt: 0.9000, rms radial error=171.059, avgs=0 035/300: dt: 0.9000, rms radial error=170.122, avgs=0 040/300: dt: 0.9000, rms radial error=169.177, avgs=0 045/300: dt: 0.9000, rms radial error=168.228, avgs=0 050/300: dt: 0.9000, rms radial error=167.280, avgs=0 055/300: dt: 0.9000, rms radial error=166.338, avgs=0 060/300: dt: 0.9000, rms radial error=165.402, avgs=0 065/300: dt: 0.9000, rms radial error=164.471, avgs=0 070/300: dt: 0.9000, rms radial error=163.545, avgs=0 075/300: dt: 0.9000, rms radial error=162.623, avgs=0 080/300: dt: 0.9000, rms radial error=161.708, avgs=0 085/300: dt: 0.9000, rms radial error=160.796, avgs=0 090/300: dt: 0.9000, rms radial error=159.890, avgs=0 095/300: dt: 0.9000, rms radial error=158.992, avgs=0 100/300: dt: 0.9000, rms radial error=158.099, avgs=0 105/300: dt: 0.9000, rms radial error=157.210, avgs=0 110/300: dt: 0.9000, rms radial error=156.327, avgs=0 115/300: dt: 0.9000, rms radial error=155.448, avgs=0 120/300: dt: 0.9000, rms radial error=154.573, avgs=0 125/300: dt: 0.9000, rms radial error=153.704, avgs=0 130/300: dt: 0.9000, rms radial error=152.840, avgs=0 135/300: dt: 0.9000, rms radial error=151.980, avgs=0 140/300: dt: 0.9000, rms radial error=151.126, avgs=0 145/300: dt: 0.9000, rms radial error=150.276, avgs=0 150/300: dt: 0.9000, rms radial error=149.430, avgs=0 155/300: dt: 0.9000, rms radial error=148.590, avgs=0 160/300: dt: 0.9000, rms radial error=147.754, avgs=0 165/300: dt: 0.9000, rms radial error=146.922, avgs=0 170/300: dt: 0.9000, rms radial error=146.095, avgs=0 175/300: dt: 0.9000, rms radial error=145.273, avgs=0 180/300: dt: 0.9000, rms radial error=144.455, avgs=0 185/300: dt: 0.9000, rms radial error=143.642, avgs=0 190/300: dt: 0.9000, rms radial error=142.833, avgs=0 195/300: dt: 0.9000, rms radial error=142.028, avgs=0 200/300: dt: 0.9000, rms radial error=141.229, avgs=0 205/300: dt: 0.9000, rms radial error=140.433, avgs=0 210/300: dt: 0.9000, rms radial error=139.642, avgs=0 215/300: dt: 0.9000, rms radial error=138.855, avgs=0 220/300: dt: 0.9000, rms radial error=138.073, avgs=0 225/300: dt: 0.9000, rms radial error=137.295, avgs=0 230/300: dt: 0.9000, rms radial error=136.521, avgs=0 235/300: dt: 0.9000, rms radial error=135.751, avgs=0 240/300: dt: 0.9000, rms radial error=134.986, avgs=0 245/300: dt: 0.9000, rms radial error=134.225, avgs=0 250/300: dt: 0.9000, rms radial error=133.469, avgs=0 255/300: dt: 0.9000, rms radial error=132.716, avgs=0 260/300: dt: 0.9000, rms radial error=131.968, avgs=0 265/300: dt: 0.9000, rms radial error=131.223, avgs=0 270/300: dt: 0.9000, rms radial error=130.483, avgs=0 275/300: dt: 0.9000, rms radial error=129.747, avgs=0 280/300: dt: 0.9000, rms radial error=129.015, avgs=0 285/300: dt: 0.9000, rms radial error=128.288, avgs=0 290/300: dt: 0.9000, rms radial error=127.564, avgs=0 295/300: dt: 0.9000, rms radial error=126.844, avgs=0 300/300: dt: 0.9000, rms radial error=126.128, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 13483.15 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00016 epoch 2 (K=40.0), pass 1, starting sse = 2087.53 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/10 = 0.00031 epoch 3 (K=160.0), pass 1, starting sse = 195.54 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.12/11 = 0.01106 epoch 4 (K=640.0), pass 1, starting sse = 11.73 taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.11/13 = 0.00809 final distance error %25.95 writing spherical brain to ../surf/rh.qsphere.nofix spherical transformation took 0.09 hours mris_sphere utimesec 315.812989 mris_sphere stimesec 0.069989 mris_sphere ru_maxrss 154844 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 19924 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 8448 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 182 mris_sphere ru_nivcsw 537 FSRUNTIME@ mris_sphere 0.0878 hours 1 threads @#@FSTIME 2017:01:19:10:27:25 mris_sphere N 5 e 316.16 S 0.07 U 315.81 P 99% M 154844 F 0 R 19928 W 0 c 539 w 184 I 0 O 8448 L 7.26 7.10 6.96 @#@FSLOADPOST 2017:01:19:10:32:41 mris_sphere N 5 7.06 7.05 6.97 #-------------------------------------------- #@# Fix Topology Copy lh Thu Jan 19 10:32:41 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts cp ../surf/lh.orig.nofix ../surf/lh.orig cp ../surf/lh.inflated.nofix ../surf/lh.inflated #-------------------------------------------- #@# Fix Topology Copy rh Thu Jan 19 10:32:42 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts cp ../surf/rh.orig.nofix ../surf/rh.orig cp ../surf/rh.inflated.nofix ../surf/rh.inflated #@# Fix Topology lh Thu Jan 19 10:32:42 EST 2017 mris_fix_topology -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/touch/rusage.mris_fix_topology.lh.dat -mgz -sphere qsphere.nofix -ga -seed 1234 039 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=-64 (nv=119980, nf=240088, ne=360132, g=33) 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 9 iterations marking ambiguous vertices... 3518 ambiguous faces found in tessellation segmenting defects... 47 defects found, arbitrating ambiguous regions... analyzing neighboring defects... -merging segment 4 into 1 -merging segment 32 into 36 45 defects to be corrected 0 vertices coincident reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Computing Initial Surface Statistics -face loglikelihood: -9.4731 (-4.7365) -vertex loglikelihood: -6.5607 (-3.2803) -normal dot loglikelihood: -3.5799 (-3.5799) -quad curv loglikelihood: -6.5304 (-3.2652) Total Loglikelihood : -26.1440 CORRECTING DEFECT 0 (vertices=50, convex hull=90, v0=3025) After retessellation of defect 0 (v0=3025), euler #=-44 (117728,352056,234284) : difference with theory (-42) = 2 CORRECTING DEFECT 1 (vertices=102, convex hull=130, v0=3134) After retessellation of defect 1 (v0=3134), euler #=-42 (117755,352195,234398) : difference with theory (-41) = 1 CORRECTING DEFECT 2 (vertices=63, convex hull=84, v0=3799) After retessellation of defect 2 (v0=3799), euler #=-41 (117779,352304,234484) : difference with theory (-40) = 1 CORRECTING DEFECT 3 (vertices=39, convex hull=87, v0=4689) After retessellation of defect 3 (v0=4689), euler #=-40 (117806,352421,234575) : difference with theory (-39) = 1 CORRECTING DEFECT 4 (vertices=6, convex hull=17, v0=10256) After retessellation of defect 4 (v0=10256), euler #=-39 (117807,352429,234583) : difference with theory (-38) = 1 CORRECTING DEFECT 5 (vertices=35, convex hull=24, v0=15420) After retessellation of defect 5 (v0=15420), euler #=-38 (117810,352448,234600) : difference with theory (-37) = 1 CORRECTING DEFECT 6 (vertices=16, convex hull=36, v0=17556) After retessellation of defect 6 (v0=17556), euler #=-37 (117811,352464,234616) : difference with theory (-36) = 1 CORRECTING DEFECT 7 (vertices=178, convex hull=67, v0=18466) After retessellation of defect 7 (v0=18466), euler #=-36 (117831,352556,234689) : difference with theory (-35) = 1 CORRECTING DEFECT 8 (vertices=24, convex hull=40, v0=19919) After retessellation of defect 8 (v0=19919), euler #=-35 (117836,352587,234716) : difference with theory (-34) = 1 CORRECTING DEFECT 9 (vertices=32, convex hull=26, v0=21716) After retessellation of defect 9 (v0=21716), euler #=-34 (117838,352600,234728) : difference with theory (-33) = 1 CORRECTING DEFECT 10 (vertices=37, convex hull=66, v0=24725) After retessellation of defect 10 (v0=24725), euler #=-33 (117858,352686,234795) : difference with theory (-32) = 1 CORRECTING DEFECT 11 (vertices=26, convex hull=52, v0=25163) After retessellation of defect 11 (v0=25163), euler #=-32 (117872,352748,234844) : difference with theory (-31) = 1 CORRECTING DEFECT 12 (vertices=24, convex hull=87, v0=25423) After retessellation of defect 12 (v0=25423), euler #=-31 (117887,352828,234910) : difference with theory (-30) = 1 CORRECTING DEFECT 13 (vertices=98, convex hull=125, v0=26284) After retessellation of defect 13 (v0=26284), euler #=-30 (117906,352944,235008) : difference with theory (-29) = 1 CORRECTING DEFECT 14 (vertices=36, convex hull=40, v0=26348) After retessellation of defect 14 (v0=26348), euler #=-29 (117908,352966,235029) : difference with theory (-28) = 1 CORRECTING DEFECT 15 (vertices=28, convex hull=48, v0=27647) After retessellation of defect 15 (v0=27647), euler #=-28 (117925,353036,235083) : difference with theory (-27) = 1 CORRECTING DEFECT 16 (vertices=61, convex hull=94, v0=36123) After retessellation of defect 16 (v0=36123), euler #=-27 (117960,353181,235194) : difference with theory (-26) = 1 CORRECTING DEFECT 17 (vertices=11, convex hull=21, v0=41842) After retessellation of defect 17 (v0=41842), euler #=-26 (117962,353194,235206) : difference with theory (-25) = 1 CORRECTING DEFECT 18 (vertices=41, convex hull=87, v0=43944) After retessellation of defect 18 (v0=43944), euler #=-25 (117988,353302,235289) : difference with theory (-24) = 1 CORRECTING DEFECT 19 (vertices=65, convex hull=112, v0=48937) After retessellation of defect 19 (v0=48937), euler #=-24 (118025,353459,235410) : difference with theory (-23) = 1 CORRECTING DEFECT 20 (vertices=63, convex hull=77, v0=49697) After retessellation of defect 20 (v0=49697), euler #=-23 (118054,353580,235503) : difference with theory (-22) = 1 CORRECTING DEFECT 21 (vertices=58, convex hull=84, v0=53811) After retessellation of defect 21 (v0=53811), euler #=-22 (118063,353642,235557) : difference with theory (-21) = 1 CORRECTING DEFECT 22 (vertices=126, convex hull=97, v0=54175) After retessellation of defect 22 (v0=54175), euler #=-21 (118095,353780,235664) : difference with theory (-20) = 1 CORRECTING DEFECT 23 (vertices=29, convex hull=67, v0=55289) After retessellation of defect 23 (v0=55289), euler #=-20 (118114,353866,235732) : difference with theory (-19) = 1 CORRECTING DEFECT 24 (vertices=33, convex hull=61, v0=55311) After retessellation of defect 24 (v0=55311), euler #=-19 (118132,353945,235794) : difference with theory (-18) = 1 CORRECTING DEFECT 25 (vertices=24, convex hull=51, v0=62374) After retessellation of defect 25 (v0=62374), euler #=-18 (118142,353992,235832) : difference with theory (-17) = 1 CORRECTING DEFECT 26 (vertices=6, convex hull=20, v0=65187) After retessellation of defect 26 (v0=65187), euler #=-17 (118143,354000,235840) : difference with theory (-16) = 1 CORRECTING DEFECT 27 (vertices=10, convex hull=18, v0=79546) After retessellation of defect 27 (v0=79546), euler #=-16 (118144,354009,235849) : difference with theory (-15) = 1 CORRECTING DEFECT 28 (vertices=61, convex hull=70, v0=82913) After retessellation of defect 28 (v0=82913), euler #=-15 (118173,354124,235936) : difference with theory (-14) = 1 CORRECTING DEFECT 29 (vertices=15, convex hull=28, v0=85646) After retessellation of defect 29 (v0=85646), euler #=-14 (118176,354141,235951) : difference with theory (-13) = 1 CORRECTING DEFECT 30 (vertices=26, convex hull=48, v0=85784) After retessellation of defect 30 (v0=85784), euler #=-13 (118189,354199,235997) : difference with theory (-12) = 1 CORRECTING DEFECT 31 (vertices=23, convex hull=26, v0=86725) After retessellation of defect 31 (v0=86725), euler #=-12 (118193,354221,236016) : difference with theory (-11) = 1 CORRECTING DEFECT 32 (vertices=51, convex hull=31, v0=87529) After retessellation of defect 32 (v0=87529), euler #=-11 (118202,354257,236044) : difference with theory (-10) = 1 CORRECTING DEFECT 33 (vertices=9, convex hull=18, v0=89456) After retessellation of defect 33 (v0=89456), euler #=-10 (118205,354271,236056) : difference with theory (-9) = 1 CORRECTING DEFECT 34 (vertices=392, convex hull=267, v0=90597) After retessellation of defect 34 (v0=90597), euler #=-8 (118224,354472,236240) : difference with theory (-8) = 0 CORRECTING DEFECT 35 (vertices=64, convex hull=84, v0=91674) After retessellation of defect 35 (v0=91674), euler #=-7 (118255,354600,236338) : difference with theory (-7) = 0 CORRECTING DEFECT 36 (vertices=6, convex hull=31, v0=93269) After retessellation of defect 36 (v0=93269), euler #=-6 (118258,354619,236355) : difference with theory (-6) = 0 CORRECTING DEFECT 37 (vertices=101, convex hull=96, v0=101854) After retessellation of defect 37 (v0=101854), euler #=-5 (118278,354725,236442) : difference with theory (-5) = 0 CORRECTING DEFECT 38 (vertices=30, convex hull=38, v0=103570) After retessellation of defect 38 (v0=103570), euler #=-4 (118290,354776,236482) : difference with theory (-4) = 0 CORRECTING DEFECT 39 (vertices=14, convex hull=36, v0=105686) After retessellation of defect 39 (v0=105686), euler #=-3 (118294,354799,236502) : difference with theory (-3) = 0 CORRECTING DEFECT 40 (vertices=21, convex hull=51, v0=110343) After retessellation of defect 40 (v0=110343), euler #=-2 (118304,354849,236543) : difference with theory (-2) = 0 CORRECTING DEFECT 41 (vertices=16, convex hull=21, v0=111793) After retessellation of defect 41 (v0=111793), euler #=-1 (118305,354857,236551) : difference with theory (-1) = 0 CORRECTING DEFECT 42 (vertices=77, convex hull=82, v0=112276) After retessellation of defect 42 (v0=112276), euler #=0 (118330,354967,236637) : difference with theory (0) = 0 CORRECTING DEFECT 43 (vertices=36, convex hull=29, v0=116271) After retessellation of defect 43 (v0=116271), euler #=1 (118334,354990,236657) : difference with theory (1) = 0 CORRECTING DEFECT 44 (vertices=15, convex hull=19, v0=119617) After retessellation of defect 44 (v0=119617), euler #=2 (118335,354999,236666) : difference with theory (2) = 0 computing original vertex metric properties... storing new metric properties... computing tessellation statistics... vertex spacing 0.88 +- 0.23 (0.07-->8.76) (max @ vno 52193 --> 61271) face area 0.00 +- 0.00 (0.00-->0.00) performing soap bubble on retessellated vertices for 0 iterations... vertex spacing 0.88 +- 0.23 (0.07-->8.76) (max @ vno 52193 --> 61271) face area 0.00 +- 0.00 (0.00-->0.00) tessellation finished, orienting corrected surface... 133 mutations (33.8%), 261 crossovers (66.2%), 175 vertices were eliminated building final representation... 1645 vertices and 0 faces have been removed from triangulation after topology correction, eno=2 (nv=118335, nf=236666, ne=354999, g=0) writing corrected surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.orig... 0.000 % of the vertices (0 vertices) exhibit an orientation change topology fixing took 27.0 minutes 0 defective edges removing intersecting faces 000: 263 intersecting 001: 5 intersecting expanding nbhd size to 2 002: 5 intersecting mris_fix_topology utimesec 1620.425657 mris_fix_topology stimesec 0.365944 mris_fix_topology ru_maxrss 381608 mris_fix_topology ru_ixrss 0 mris_fix_topology ru_idrss 0 mris_fix_topology ru_isrss 0 mris_fix_topology ru_minflt 49237 mris_fix_topology ru_majflt 0 mris_fix_topology ru_nswap 0 mris_fix_topology ru_inblock 0 mris_fix_topology ru_oublock 11160 mris_fix_topology ru_msgsnd 0 mris_fix_topology ru_msgrcv 0 mris_fix_topology ru_nsignals 0 mris_fix_topology ru_nvcsw 291 mris_fix_topology ru_nivcsw 11710 FSRUNTIME@ mris_fix_topology lh 0.4508 hours 1 threads @#@FSTIME 2017:01:19:10:32:42 mris_fix_topology N 10 e 1622.74 S 0.36 U 1620.42 P 99% M 381608 F 0 R 49242 W 0 c 11712 w 297 I 0 O 11168 L 7.06 7.05 6.97 @#@FSLOADPOST 2017:01:19:10:59:45 mris_fix_topology N 10 7.04 7.01 7.00 #@# Fix Topology rh Thu Jan 19 10:59:45 EST 2017 mris_fix_topology -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/touch/rusage.mris_fix_topology.rh.dat -mgz -sphere qsphere.nofix -ga -seed 1234 039 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=-60 (nv=120010, nf=240140, ne=360210, g=31) 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 13 iterations marking ambiguous vertices... 3482 ambiguous faces found in tessellation segmenting defects... 35 defects found, arbitrating ambiguous regions... analyzing neighboring defects... -merging segment 24 into 22 -merging segment 25 into 23 33 defects to be corrected 0 vertices coincident reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Computing Initial Surface Statistics -face loglikelihood: -9.5149 (-4.7575) -vertex loglikelihood: -6.5931 (-3.2965) -normal dot loglikelihood: -3.6443 (-3.6443) -quad curv loglikelihood: -6.1852 (-3.0926) Total Loglikelihood : -25.9375 CORRECTING DEFECT 0 (vertices=42, convex hull=101, v0=302) After retessellation of defect 0 (v0=302), euler #=-32 (117837,352423,234554) : difference with theory (-30) = 2 CORRECTING DEFECT 1 (vertices=54, convex hull=73, v0=608) After retessellation of defect 1 (v0=608), euler #=-31 (117852,352493,234610) : difference with theory (-29) = 2 CORRECTING DEFECT 2 (vertices=21, convex hull=59, v0=1891) After retessellation of defect 2 (v0=1891), euler #=-30 (117862,352550,234658) : difference with theory (-28) = 2 CORRECTING DEFECT 3 (vertices=30, convex hull=76, v0=2245) After retessellation of defect 3 (v0=2245), euler #=-29 (117871,352608,234708) : difference with theory (-27) = 2 CORRECTING DEFECT 4 (vertices=91, convex hull=86, v0=5642) After retessellation of defect 4 (v0=5642), euler #=-28 (117907,352756,234821) : difference with theory (-26) = 2 CORRECTING DEFECT 5 (vertices=66, convex hull=80, v0=6164) After retessellation of defect 5 (v0=6164), euler #=-27 (117925,352841,234889) : difference with theory (-25) = 2 CORRECTING DEFECT 6 (vertices=120, convex hull=74, v0=7644) After retessellation of defect 6 (v0=7644), euler #=-26 (117936,352907,234945) : difference with theory (-24) = 2 CORRECTING DEFECT 7 (vertices=89, convex hull=129, v0=15654) After retessellation of defect 7 (v0=15654), euler #=-25 (117988,353122,235109) : difference with theory (-23) = 2 CORRECTING DEFECT 8 (vertices=13, convex hull=20, v0=19685) After retessellation of defect 8 (v0=19685), euler #=-24 (117991,353139,235124) : difference with theory (-22) = 2 CORRECTING DEFECT 9 (vertices=140, convex hull=143, v0=20054) After retessellation of defect 9 (v0=20054), euler #=-23 (118028,353322,235271) : difference with theory (-21) = 2 CORRECTING DEFECT 10 (vertices=44, convex hull=85, v0=28926) After retessellation of defect 10 (v0=28926), euler #=-22 (118045,353410,235343) : difference with theory (-20) = 2 CORRECTING DEFECT 11 (vertices=132, convex hull=139, v0=30137) After retessellation of defect 11 (v0=30137), euler #=-21 (118086,353593,235486) : difference with theory (-19) = 2 CORRECTING DEFECT 12 (vertices=20, convex hull=73, v0=32346) After retessellation of defect 12 (v0=32346), euler #=-20 (118095,353650,235535) : difference with theory (-18) = 2 CORRECTING DEFECT 13 (vertices=89, convex hull=117, v0=36600) After retessellation of defect 13 (v0=36600), euler #=-19 (118139,353836,235678) : difference with theory (-17) = 2 CORRECTING DEFECT 14 (vertices=54, convex hull=85, v0=52936) After retessellation of defect 14 (v0=52936), euler #=-18 (118172,353967,235777) : difference with theory (-16) = 2 CORRECTING DEFECT 15 (vertices=45, convex hull=101, v0=58403) After retessellation of defect 15 (v0=58403), euler #=-17 (118204,354112,235891) : difference with theory (-15) = 2 CORRECTING DEFECT 16 (vertices=83, convex hull=124, v0=75986) After retessellation of defect 16 (v0=75986), euler #=-16 (118249,354300,236035) : difference with theory (-14) = 2 CORRECTING DEFECT 17 (vertices=11, convex hull=32, v0=86297) After retessellation of defect 17 (v0=86297), euler #=-15 (118251,354319,236053) : difference with theory (-13) = 2 CORRECTING DEFECT 18 (vertices=179, convex hull=160, v0=87246) After retessellation of defect 18 (v0=87246), euler #=-14 (118331,354635,236290) : difference with theory (-12) = 2 CORRECTING DEFECT 19 (vertices=13, convex hull=38, v0=87397) After retessellation of defect 19 (v0=87397), euler #=-13 (118333,354656,236310) : difference with theory (-11) = 2 CORRECTING DEFECT 20 (vertices=15, convex hull=32, v0=89040) After retessellation of defect 20 (v0=89040), euler #=-12 (118335,354670,236323) : difference with theory (-10) = 2 CORRECTING DEFECT 21 (vertices=85, convex hull=32, v0=90673) After retessellation of defect 21 (v0=90673), euler #=-11 (118346,354710,236353) : difference with theory (-9) = 2 CORRECTING DEFECT 22 (vertices=37, convex hull=45, v0=90802) After retessellation of defect 22 (v0=90802), euler #=-9 (118349,354742,236384) : difference with theory (-8) = 1 CORRECTING DEFECT 23 (vertices=17, convex hull=36, v0=90858) After retessellation of defect 23 (v0=90858), euler #=-7 (118354,354774,236413) : difference with theory (-7) = 0 CORRECTING DEFECT 24 (vertices=37, convex hull=68, v0=92746) After retessellation of defect 24 (v0=92746), euler #=-6 (118371,354851,236474) : difference with theory (-6) = 0 CORRECTING DEFECT 25 (vertices=28, convex hull=65, v0=97391) After retessellation of defect 25 (v0=97391), euler #=-5 (118380,354904,236519) : difference with theory (-5) = 0 CORRECTING DEFECT 26 (vertices=306, convex hull=97, v0=101405) After retessellation of defect 26 (v0=101405), euler #=-4 (118398,355002,236600) : difference with theory (-4) = 0 CORRECTING DEFECT 27 (vertices=166, convex hull=137, v0=101431) After retessellation of defect 27 (v0=101431), euler #=-3 (118455,355242,236784) : difference with theory (-3) = 0 CORRECTING DEFECT 28 (vertices=63, convex hull=88, v0=102307) After retessellation of defect 28 (v0=102307), euler #=-2 (118482,355359,236875) : difference with theory (-2) = 0 CORRECTING DEFECT 29 (vertices=20, convex hull=53, v0=111883) After retessellation of defect 29 (v0=111883), euler #=-1 (118488,355398,236909) : difference with theory (-1) = 0 CORRECTING DEFECT 30 (vertices=32, convex hull=59, v0=115579) After retessellation of defect 30 (v0=115579), euler #=0 (118505,355470,236965) : difference with theory (0) = 0 CORRECTING DEFECT 31 (vertices=25, convex hull=24, v0=116490) After retessellation of defect 31 (v0=116490), euler #=1 (118510,355491,236982) : difference with theory (1) = 0 CORRECTING DEFECT 32 (vertices=32, convex hull=80, v0=119014) After retessellation of defect 32 (v0=119014), euler #=2 (118521,355557,237038) : difference with theory (2) = 0 computing original vertex metric properties... storing new metric properties... computing tessellation statistics... vertex spacing 0.88 +- 0.23 (0.03-->9.39) (max @ vno 99883 --> 119675) face area 0.00 +- 0.00 (0.00-->0.00) performing soap bubble on retessellated vertices for 0 iterations... vertex spacing 0.88 +- 0.23 (0.03-->9.39) (max @ vno 99883 --> 119675) face area 0.00 +- 0.00 (0.00-->0.00) tessellation finished, orienting corrected surface... 118 mutations (34.9%), 220 crossovers (65.1%), 69 vertices were eliminated building final representation... 1489 vertices and 0 faces have been removed from triangulation after topology correction, eno=2 (nv=118521, nf=237038, ne=355557, g=0) writing corrected surface to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.orig... 0.000 % of the vertices (0 vertices) exhibit an orientation change topology fixing took 21.1 minutes 0 defective edges removing intersecting faces 000: 234 intersecting 001: 2 intersecting mris_fix_topology utimesec 1261.050291 mris_fix_topology stimesec 0.495924 mris_fix_topology ru_maxrss 381760 mris_fix_topology ru_ixrss 0 mris_fix_topology ru_idrss 0 mris_fix_topology ru_isrss 0 mris_fix_topology ru_minflt 48818 mris_fix_topology ru_majflt 0 mris_fix_topology ru_nswap 0 mris_fix_topology ru_inblock 0 mris_fix_topology ru_oublock 11168 mris_fix_topology ru_msgsnd 0 mris_fix_topology ru_msgrcv 0 mris_fix_topology ru_nsignals 0 mris_fix_topology ru_nvcsw 260 mris_fix_topology ru_nivcsw 21638 FSRUNTIME@ mris_fix_topology rh 0.3509 hours 1 threads @#@FSTIME 2017:01:19:10:59:45 mris_fix_topology N 10 e 1263.28 S 0.51 U 1261.05 P 99% M 381760 F 0 R 48823 W 0 c 21640 w 266 I 0 O 11176 L 7.04 7.01 7.00 @#@FSLOADPOST 2017:01:19:11:20:48 mris_fix_topology N 10 7.10 7.09 7.03 mris_euler_number ../surf/lh.orig euler # = v-e+f = 2g-2: 118335 - 354999 + 236666 = 2 --> 0 holes F =2V-4: 236666 = 236670-4 (0) 2E=3F: 709998 = 709998 (0) total defect index = 0 mris_euler_number ../surf/rh.orig euler # = v-e+f = 2g-2: 118521 - 355557 + 237038 = 2 --> 0 holes F =2V-4: 237038 = 237042-4 (0) 2E=3F: 711114 = 711114 (0) total defect index = 0 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_remove_intersection ../surf/lh.orig ../surf/lh.orig intersection removal took 0.00 hours removing intersecting faces 000: 33 intersecting 001: 3 intersecting writing corrected surface to ../surf/lh.orig @#@FSTIME 2017:01:19:11:20:52 mris_remove_intersection N 2 e 4.67 S 0.19 U 4.29 P 95% M 186936 F 0 R 45450 W 0 c 330 w 151 I 0 O 8328 L 7.09 7.09 7.03 @#@FSLOADPOST 2017:01:19:11:20:57 mris_remove_intersection N 2 7.08 7.09 7.03 rm ../surf/lh.inflated /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_remove_intersection ../surf/rh.orig ../surf/rh.orig intersection removal took 0.00 hours removing intersecting faces 000: 10 intersecting writing corrected surface to ../surf/rh.orig @#@FSTIME 2017:01:19:11:20:57 mris_remove_intersection N 2 e 3.21 S 0.11 U 2.91 P 94% M 187228 F 0 R 33140 W 0 c 202 w 148 I 0 O 8336 L 7.08 7.09 7.03 @#@FSLOADPOST 2017:01:19:11:21:00 mris_remove_intersection N 2 7.08 7.09 7.03 rm ../surf/rh.inflated #-------------------------------------------- #@# Make White Surf lh Thu Jan 19 11:21:00 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_make_surfaces -aseg ../mri/aseg.presurf -white white.preaparc -noaparc -whiteonly -mgz -T1 brain.finalsurfs 039 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/stable6/039/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... 19343 bright wm thresholded. 2584 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.orig... computing class statistics... border white: 224099 voxels (1.34%) border gray 251318 voxels (1.50%) WM (96.0): 96.6 +- 9.1 [70.0 --> 110.0] GM (68.0) : 67.1 +- 11.1 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 50.9 (was 70) setting MAX_BORDER_WHITE to 111.1 (was 105) setting MIN_BORDER_WHITE to 62.0 (was 85) setting MAX_CSF to 39.9 (was 40) setting MAX_GRAY to 92.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 50.9 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 28.8 (was 40) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.82 +- 0.22 (0.02-->3.55) (max @ vno 52193 --> 61271) face area 0.28 +- 0.12 (0.00-->1.97) mean absolute distance = 0.83 +- 1.05 2994 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+-8.7, GM=62+-9.6 mean inside = 91.4, mean outside = 71.0 smoothing surface for 5 iterations... inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group mean border=74.8, 112 (112) missing vertices, mean dist 0.3 [0.8 (%31.3)->0.8 (%68.7))] %51 local maxima, %44 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 0.93 +- 0.26 (0.12-->5.05) (max @ vno 84937 --> 86947) face area 0.28 +- 0.13 (0.00-->2.49) mean absolute distance = 0.40 +- 0.72 3201 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=3865807.8, rms=12.254 001: dt: 0.5000, sse=2280108.8, rms=8.982 (26.704%) 002: dt: 0.5000, sse=1523584.8, rms=6.868 (23.528%) 003: dt: 0.5000, sse=1124385.5, rms=5.437 (20.834%) 004: dt: 0.5000, sse=930947.5, rms=4.571 (15.929%) 005: dt: 0.5000, sse=845794.6, rms=4.133 (9.589%) 006: dt: 0.5000, sse=810294.6, rms=3.938 (4.708%) 007: dt: 0.5000, sse=797474.5, rms=3.854 (2.153%) 008: dt: 0.5000, sse=788316.2, rms=3.799 (1.431%) rms = 3.77, time step reduction 1 of 3 to 0.250... 009: dt: 0.5000, sse=783129.8, rms=3.772 (0.709%) 010: dt: 0.2500, sse=617364.7, rms=2.519 (33.211%) 011: dt: 0.2500, sse=579822.3, rms=2.158 (14.351%) 012: dt: 0.2500, sse=570641.9, rms=2.055 (4.746%) 013: dt: 0.2500, sse=564491.1, rms=1.985 (3.405%) rms = 1.95, time step reduction 2 of 3 to 0.125... 014: dt: 0.2500, sse=562171.9, rms=1.949 (1.845%) 015: dt: 0.1250, sse=554044.8, rms=1.853 (4.927%) rms = 1.84, time step reduction 3 of 3 to 0.062... 016: dt: 0.1250, sse=552660.6, rms=1.837 (0.827%) positioning took 1.5 minutes inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 4 vertex label from ripped group removing 1 vertex label from ripped group removing 3 vertex label from ripped group mean border=78.3, 150 (64) missing vertices, mean dist -0.3 [0.5 (%70.0)->0.2 (%30.0))] %64 local maxima, %31 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 0.91 +- 0.25 (0.07-->5.22) (max @ vno 84937 --> 86947) face area 0.36 +- 0.17 (0.00-->3.28) mean absolute distance = 0.30 +- 0.46 2771 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1192169.6, rms=5.087 017: dt: 0.5000, sse=866275.6, rms=3.395 (33.258%) rms = 3.54, time step reduction 1 of 3 to 0.250... 018: dt: 0.2500, sse=755402.6, rms=2.564 (24.480%) 019: dt: 0.2500, sse=694244.2, rms=1.960 (23.569%) 020: dt: 0.2500, sse=670552.8, rms=1.662 (15.206%) 021: dt: 0.2500, sse=662402.6, rms=1.545 (7.026%) 022: dt: 0.2500, sse=657640.2, rms=1.489 (3.600%) rms = 1.46, time step reduction 2 of 3 to 0.125... 023: dt: 0.2500, sse=655700.8, rms=1.463 (1.805%) 024: dt: 0.1250, sse=651146.5, rms=1.388 (5.103%) rms = 1.38, time step reduction 3 of 3 to 0.062... 025: dt: 0.1250, sse=651094.6, rms=1.385 (0.234%) positioning took 0.9 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 1 vertex label from ripped group mean border=81.3, 147 (59) missing vertices, mean dist -0.2 [0.3 (%70.5)->0.2 (%29.5))] %79 local maxima, %16 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 0.90 +- 0.25 (0.07-->5.46) (max @ vno 84937 --> 86947) face area 0.35 +- 0.16 (0.00-->3.26) mean absolute distance = 0.24 +- 0.36 2217 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=964952.1, rms=4.074 026: dt: 0.5000, sse=811242.0, rms=3.112 (23.604%) rms = 3.39, time step reduction 1 of 3 to 0.250... 027: dt: 0.2500, sse=692733.9, rms=2.092 (32.793%) 028: dt: 0.2500, sse=647605.4, rms=1.566 (25.124%) 029: dt: 0.2500, sse=634881.4, rms=1.380 (11.868%) rms = 1.37, time step reduction 2 of 3 to 0.125... 030: dt: 0.2500, sse=633636.1, rms=1.368 (0.891%) 031: dt: 0.1250, sse=627465.7, rms=1.258 (8.045%) rms = 1.25, time step reduction 3 of 3 to 0.062... 032: dt: 0.1250, sse=627140.1, rms=1.253 (0.387%) positioning took 0.7 minutes inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 2 vertex label from ripped group removing 1 vertex label from ripped group mean border=82.4, 142 (56) missing vertices, mean dist -0.1 [0.3 (%57.2)->0.2 (%42.8))] %84 local maxima, %11 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/stable6/039/surf/lh.white.preaparc... writing smoothed curvature to lh.curv 000: dt: 0.0000, sse=663805.4, rms=1.932 rms = 2.23, time step reduction 1 of 3 to 0.250... 033: dt: 0.2500, sse=615610.5, rms=1.261 (34.741%) 034: dt: 0.2500, sse=599366.6, rms=0.936 (25.782%) rms = 0.97, time step reduction 2 of 3 to 0.125... rms = 0.93, time step reduction 3 of 3 to 0.062... 035: dt: 0.1250, sse=598923.0, rms=0.929 (0.738%) positioning took 0.4 minutes generating cortex label... 14 non-cortical segments detected only using segment with 6936 vertices erasing segment 0 (vno[0] = 26832) erasing segment 1 (vno[0] = 27892) erasing segment 2 (vno[0] = 29045) erasing segment 3 (vno[0] = 32318) erasing segment 5 (vno[0] = 63512) erasing segment 6 (vno[0] = 66279) erasing segment 7 (vno[0] = 84991) erasing segment 8 (vno[0] = 86946) erasing segment 9 (vno[0] = 86976) erasing segment 10 (vno[0] = 86987) erasing segment 11 (vno[0] = 95267) erasing segment 12 (vno[0] = 118155) erasing segment 13 (vno[0] = 118159) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.curv writing smoothed area to lh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.area vertex spacing 0.90 +- 0.26 (0.02-->5.44) (max @ vno 84937 --> 86947) face area 0.34 +- 0.16 (0.00-->3.21) refinement took 5.4 minutes @#@FSTIME 2017:01:19:11:21:00 mris_make_surfaces N 11 e 323.94 S 2.39 U 320.81 P 99% M 464816 F 0 R 866039 W 0 c 1892 w 699 I 0 O 19904 L 7.08 7.09 7.03 @#@FSLOADPOST 2017:01:19:11:26:24 mris_make_surfaces N 11 7.01 7.03 7.00 #-------------------------------------------- #@# Make White Surf rh Thu Jan 19 11:26:24 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_make_surfaces -aseg ../mri/aseg.presurf -white white.preaparc -noaparc -whiteonly -mgz -T1 brain.finalsurfs 039 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/stable6/039/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... 19343 bright wm thresholded. 2584 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.orig... computing class statistics... border white: 224099 voxels (1.34%) border gray 251318 voxels (1.50%) WM (96.0): 96.6 +- 9.1 [70.0 --> 110.0] GM (68.0) : 67.1 +- 11.1 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 50.9 (was 70) setting MAX_BORDER_WHITE to 110.1 (was 105) setting MIN_BORDER_WHITE to 62.0 (was 85) setting MAX_CSF to 39.9 (was 40) setting MAX_GRAY to 91.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 50.9 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 28.8 (was 40) repositioning cortical surface to gray/white boundary smoothing T1 volume with sigma = 2.000 vertex spacing 0.82 +- 0.22 (0.04-->5.47) (max @ vno 99883 --> 118401) face area 0.28 +- 0.12 (0.00-->3.65) mean absolute distance = 0.82 +- 1.04 3019 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=101+-7.0, GM=62+-9.6 mean inside = 91.3, mean outside = 70.7 smoothing surface for 5 iterations... inhibiting deformation at non-cortical midline structures... mean border=74.8, 95 (95) missing vertices, mean dist 0.3 [0.8 (%32.3)->0.8 (%67.7))] %51 local maxima, %44 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 (0.13-->4.96) (max @ vno 99883 --> 118401) face area 0.28 +- 0.13 (0.00-->3.38) mean absolute distance = 0.38 +- 0.72 2860 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=3833930.2, rms=12.181 001: dt: 0.5000, sse=2222089.5, rms=8.822 (27.580%) 002: dt: 0.5000, sse=1468858.2, rms=6.684 (24.229%) 003: dt: 0.5000, sse=1084950.8, rms=5.265 (21.238%) 004: dt: 0.5000, sse=906289.2, rms=4.448 (15.515%) 005: dt: 0.5000, sse=828994.4, rms=4.040 (9.175%) 006: dt: 0.5000, sse=799345.4, rms=3.868 (4.246%) 007: dt: 0.5000, sse=784817.8, rms=3.783 (2.214%) rms = 3.75, time step reduction 1 of 3 to 0.250... 008: dt: 0.5000, sse=779149.9, rms=3.745 (0.985%) 009: dt: 0.2500, sse=607353.1, rms=2.433 (35.034%) 010: dt: 0.2500, sse=569721.4, rms=2.049 (15.772%) 011: dt: 0.2500, sse=560303.2, rms=1.940 (5.335%) 012: dt: 0.2500, sse=554917.9, rms=1.870 (3.626%) rms = 1.84, time step reduction 2 of 3 to 0.125... 013: dt: 0.2500, sse=552410.6, rms=1.842 (1.483%) 014: dt: 0.1250, sse=544855.2, rms=1.742 (5.401%) rms = 1.73, time step reduction 3 of 3 to 0.062... 015: dt: 0.1250, sse=544913.4, rms=1.732 (0.628%) positioning took 1.4 minutes inhibiting deformation at non-cortical midline structures... removing 2 vertex label from ripped group removing 4 vertex label from ripped group removing 4 vertex label from ripped group removing 1 vertex label from ripped group mean border=78.0, 81 (9) missing vertices, mean dist -0.2 [0.4 (%69.0)->0.2 (%31.0))] %63 local maxima, %32 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 0.92 +- 0.25 (0.12-->4.72) (max @ vno 99883 --> 118401) face area 0.36 +- 0.17 (0.00-->4.54) mean absolute distance = 0.30 +- 0.46 2639 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1151852.4, rms=4.891 016: dt: 0.5000, sse=857265.3, rms=3.323 (32.061%) rms = 3.55, time step reduction 1 of 3 to 0.250... 017: dt: 0.2500, sse=749148.9, rms=2.491 (25.030%) 018: dt: 0.2500, sse=692801.3, rms=1.922 (22.835%) 019: dt: 0.2500, sse=672032.7, rms=1.664 (13.467%) 020: dt: 0.2500, sse=666397.2, rms=1.582 (4.906%) rms = 1.54, time step reduction 2 of 3 to 0.125... 021: dt: 0.2500, sse=663544.9, rms=1.545 (2.334%) 022: dt: 0.1250, sse=658778.8, rms=1.469 (4.899%) rms = 1.47, time step reduction 3 of 3 to 0.062... 023: dt: 0.1250, sse=658318.3, rms=1.465 (0.292%) positioning took 0.8 minutes inhibiting deformation at non-cortical midline structures... mean border=81.0, 72 (5) missing vertices, mean dist -0.2 [0.3 (%70.1)->0.2 (%29.9))] %78 local maxima, %17 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 0.91 +- 0.25 (0.13-->4.47) (max @ vno 99883 --> 118401) face area 0.35 +- 0.16 (0.00-->4.36) mean absolute distance = 0.24 +- 0.36 2124 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=961936.3, rms=4.039 024: dt: 0.5000, sse=809002.0, rms=3.066 (24.076%) rms = 3.39, time step reduction 1 of 3 to 0.250... 025: dt: 0.2500, sse=690941.0, rms=2.048 (33.202%) 026: dt: 0.2500, sse=648789.4, rms=1.542 (24.730%) 027: dt: 0.2500, sse=639333.3, rms=1.386 (10.097%) rms = 1.37, time step reduction 2 of 3 to 0.125... 028: dt: 0.2500, sse=637352.1, rms=1.369 (1.211%) 029: dt: 0.1250, sse=631207.8, rms=1.271 (7.144%) rms = 1.27, time step reduction 3 of 3 to 0.062... 030: dt: 0.1250, sse=631196.3, rms=1.270 (0.133%) positioning took 0.7 minutes inhibiting deformation at non-cortical midline structures... removing 3 vertex label from ripped group removing 3 vertex label from ripped group removing 2 vertex label from ripped group mean border=82.2, 72 (3) missing vertices, mean dist -0.1 [0.3 (%57.6)->0.2 (%42.4))] %84 local maxima, %11 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/stable6/039/surf/rh.white.preaparc... writing smoothed curvature to rh.curv 000: dt: 0.0000, sse=670448.4, rms=1.970 rms = 2.26, time step reduction 1 of 3 to 0.250... 031: dt: 0.2500, sse=620116.2, rms=1.283 (34.843%) 032: dt: 0.2500, sse=603649.2, rms=0.931 (27.482%) rms = 0.95, time step reduction 2 of 3 to 0.125... rms = 0.93, time step reduction 3 of 3 to 0.062... 033: dt: 0.1250, sse=602395.6, rms=0.926 (0.551%) positioning took 0.4 minutes generating cortex label... 9 non-cortical segments detected only using segment with 6779 vertices erasing segment 0 (vno[0] = 34550) erasing segment 1 (vno[0] = 36424) erasing segment 3 (vno[0] = 84877) erasing segment 4 (vno[0] = 85881) erasing segment 5 (vno[0] = 85934) erasing segment 6 (vno[0] = 86775) erasing segment 7 (vno[0] = 86805) erasing segment 8 (vno[0] = 94092) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.curv writing smoothed area to rh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.area vertex spacing 0.90 +- 0.25 (0.04-->4.36) (max @ vno 99883 --> 118401) face area 0.34 +- 0.16 (0.00-->4.16) refinement took 5.2 minutes @#@FSTIME 2017:01:19:11:26:24 mris_make_surfaces N 11 e 310.78 S 2.27 U 307.18 P 99% M 464860 F 0 R 832286 W 0 c 5959 w 385 I 0 O 19736 L 7.01 7.03 7.00 @#@FSLOADPOST 2017:01:19:11:31:35 mris_make_surfaces N 11 6.99 7.00 6.99 #-------------------------------------------- #@# Smooth2 lh Thu Jan 19 11:31:35 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:11:31:36 mris_smooth N 7 e 5.79 S 0.08 U 5.48 P 96% M 152364 F 0 R 19819 W 0 c 233 w 205 I 0 O 8328 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:11:31:41 mris_smooth N 7 6.99 7.00 6.99 #-------------------------------------------- #@# Smooth2 rh Thu Jan 19 11:31:41 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:11:31:41 mris_smooth N 7 e 5.76 S 0.08 U 5.49 P 96% M 152736 F 0 R 19912 W 0 c 220 w 141 I 0 O 8344 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:11:31:47 mris_smooth N 7 6.99 7.00 6.99 #-------------------------------------------- #@# Inflation2 lh Thu Jan 19 11:31:47 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_inflate -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/touch/rusage.mris_inflate.lh.dat ../surf/lh.smoothwm ../surf/lh.inflated Reading ../surf/lh.smoothwm avg radius = 45.6 mm, total surface area = 73231 mm^2 writing inflated surface to ../surf/lh.inflated writing sulcal depths to ../surf/lh.sulc step 000: RMS=0.178 (target=0.015) step 005: RMS=0.123 (target=0.015) step 010: RMS=0.093 (target=0.015) step 015: RMS=0.074 (target=0.015) step 020: RMS=0.061 (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=0.031 (target=0.015) step 045: RMS=0.028 (target=0.015) step 050: RMS=0.025 (target=0.015) step 055: RMS=0.023 (target=0.015) step 060: RMS=0.022 (target=0.015) inflation complete. inflation took 0.8 minutes mris_inflate utimesec 48.873570 mris_inflate stimesec 0.135979 mris_inflate ru_maxrss 152416 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 19838 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 9256 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 193 mris_inflate ru_nivcsw 1875 @#@FSTIME 2017:01:19:11:31:47 mris_inflate N 4 e 49.40 S 0.14 U 48.87 P 99% M 152416 F 0 R 19842 W 0 c 1877 w 203 I 0 O 9264 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:11:32:37 mris_inflate N 4 7.03 7.01 7.00 #-------------------------------------------- #@# Inflation2 rh Thu Jan 19 11:32:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_inflate -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/touch/rusage.mris_inflate.rh.dat ../surf/rh.smoothwm ../surf/rh.inflated Reading ../surf/rh.smoothwm avg radius = 45.1 mm, total surface area = 73293 mm^2 writing inflated surface to ../surf/rh.inflated writing sulcal depths to ../surf/rh.sulc step 000: RMS=0.180 (target=0.015) step 005: RMS=0.124 (target=0.015) step 010: RMS=0.092 (target=0.015) step 015: RMS=0.075 (target=0.015) step 020: RMS=0.062 (target=0.015) step 025: RMS=0.053 (target=0.015) step 030: RMS=0.044 (target=0.015) step 035: RMS=0.038 (target=0.015) step 040: RMS=0.033 (target=0.015) step 045: RMS=0.030 (target=0.015) step 050: RMS=0.027 (target=0.015) step 055: RMS=0.025 (target=0.015) step 060: RMS=0.023 (target=0.015) inflation complete. inflation took 0.8 minutes mris_inflate utimesec 48.647604 mris_inflate stimesec 0.070989 mris_inflate ru_maxrss 152788 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 19931 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 9272 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 177 mris_inflate ru_nivcsw 284 @#@FSTIME 2017:01:19:11:32:37 mris_inflate N 4 e 49.01 S 0.08 U 48.64 P 99% M 152788 F 0 R 19935 W 0 c 287 w 182 I 0 O 9280 L 7.03 7.01 7.00 @#@FSLOADPOST 2017:01:19:11:33:26 mris_inflate N 4 7.01 7.01 7.00 #-------------------------------------------- #@# Curv .H and .K lh Thu Jan 19 11:33:26 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf mris_curvature -w lh.white.preaparc total integrated curvature = 7.479*4pi (93.990) --> -6 handles ICI = 146.9, FI = 1442.5, variation=22938.045 writing Gaussian curvature to ./lh.white.preaparc.K...done. writing mean curvature to ./lh.white.preaparc.H...done. @#@FSTIME 2017:01:19:11:33:26 mris_curvature N 2 e 3.26 S 0.10 U 3.00 P 95% M 152096 F 0 R 19732 W 0 c 135 w 51 I 0 O 1856 L 7.01 7.01 7.00 @#@FSLOADPOST 2017:01:19:11:33:29 mris_curvature N 2 7.01 7.01 7.00 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 176 vertices thresholded to be in k1 ~ [-0.21 0.94], k2 ~ [-0.11 0.07] total integrated curvature = 0.610*4pi (7.669) --> 0 handles ICI = 1.4, FI = 8.0, variation=139.800 58 vertices thresholded to be in [-0.01 0.02] writing Gaussian curvature to ./lh.inflated.K...thresholding curvature at 99.90% level curvature mean = 0.000, std = 0.001 135 vertices thresholded to be in [-0.13 0.28] done. writing mean curvature to ./lh.inflated.H...curvature mean = -0.017, std = 0.022 done. @#@FSTIME 2017:01:19:11:33:30 mris_curvature N 10 e 77.36 S 0.29 U 76.72 P 99% M 293276 F 0 R 55027 W 0 c 2832 w 64 I 0 O 1856 L 7.01 7.01 7.00 @#@FSLOADPOST 2017:01:19:11:34:47 mris_curvature N 10 7.22 7.05 7.02 #-------------------------------------------- #@# Curv .H and .K rh Thu Jan 19 11:34:47 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf mris_curvature -w rh.white.preaparc total integrated curvature = 0.305*4pi (3.836) --> 1 handles ICI = 145.4, FI = 1505.5, variation=23801.147 writing Gaussian curvature to ./rh.white.preaparc.K...done. writing mean curvature to ./rh.white.preaparc.H...done. @#@FSTIME 2017:01:19:11:34:47 mris_curvature N 2 e 3.27 S 0.08 U 2.95 P 92% M 152484 F 0 R 19829 W 0 c 97 w 54 I 0 O 1856 L 7.22 7.05 7.02 @#@FSLOADPOST 2017:01:19:11:34:51 mris_curvature N 2 7.22 7.05 7.02 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 108 vertices thresholded to be in k1 ~ [-0.36 0.30], k2 ~ [-0.10 0.13] total integrated curvature = 0.602*4pi (7.568) --> 0 handles ICI = 1.5, FI = 7.4, variation=135.103 87 vertices thresholded to be in [-0.02 0.02] writing Gaussian curvature to ./rh.inflated.K...thresholding curvature at 99.90% level curvature mean = 0.000, std = 0.001 108 vertices thresholded to be in [-0.14 0.14] done. writing mean curvature to ./rh.inflated.H...curvature mean = -0.017, std = 0.021 done. @#@FSTIME 2017:01:19:11:34:51 mris_curvature N 10 e 76.89 S 0.28 U 76.35 P 99% M 293912 F 0 R 55186 W 0 c 3454 w 54 I 0 O 1856 L 7.22 7.05 7.02 @#@FSLOADPOST 2017:01:19:11:36:08 mris_curvature N 10 7.20 7.10 7.03 #----------------------------------------- #@# Curvature Stats lh Thu Jan 19 11:36:08 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf mris_curvature_stats -m --writeCurvatureFiles -G -o ../stats/lh.curv.stats -F smoothwm 039 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 [ 039/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 [ 206 ] Gb_filter = 0 WARN: S lookup min: -0.433368 WARN: S explicit min: 0.000000 vertex = 254 @#@FSTIME 2017:01:19:11:36:08 mris_curvature_stats N 11 e 4.78 S 0.10 U 4.30 P 92% M 152468 F 0 R 19908 W 0 c 250 w 182 I 0 O 7464 L 7.20 7.10 7.03 @#@FSLOADPOST 2017:01:19:11:36:13 mris_curvature_stats N 11 7.18 7.10 7.03 #----------------------------------------- #@# Curvature Stats rh Thu Jan 19 11:36:13 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf mris_curvature_stats -m --writeCurvatureFiles -G -o ../stats/rh.curv.stats -F smoothwm 039 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 [ 039/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 [ 226 ] Gb_filter = 0 WARN: S lookup min: -0.640104 WARN: S explicit min: 0.000000 vertex = 3 @#@FSTIME 2017:01:19:11:36:13 mris_curvature_stats N 11 e 4.69 S 0.08 U 4.11 P 89% M 152852 F 0 R 20005 W 0 c 393 w 183 I 0 O 7464 L 7.18 7.10 7.03 @#@FSLOADPOST 2017:01:19:11:36:18 mris_curvature_stats N 11 7.17 7.10 7.03 #-------------------------------------------- #@# Sphere lh Thu Jan 19 11:36:18 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_sphere -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 0.321... 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 %20.27 pass 1: epoch 2 of 3 starting distance error %20.18 unfolding complete - removing small folds... starting distance error %20.14 removing remaining folds... final distance error %20.16 MRISunfold() return, current seed 1234 -01: dt=0.0000, 90 negative triangles 171: dt=0.9900, 90 negative triangles 172: dt=0.9900, 46 negative triangles 173: dt=0.9900, 28 negative triangles 174: dt=0.9900, 21 negative triangles 175: dt=0.9900, 19 negative triangles 176: dt=0.9900, 16 negative triangles 177: dt=0.9900, 15 negative triangles 178: dt=0.9900, 10 negative triangles 179: dt=0.9900, 10 negative triangles 180: dt=0.9900, 8 negative triangles 181: dt=0.9900, 5 negative triangles 182: dt=0.9900, 3 negative triangles 183: dt=0.9900, 2 negative triangles 184: dt=0.9900, 5 negative triangles 185: dt=0.9900, 1 negative triangles writing spherical brain to ../surf/lh.sphere spherical transformation took 0.86 hours mris_sphere utimesec 3088.939409 mris_sphere stimesec 0.848870 mris_sphere ru_maxrss 209624 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 34139 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 8328 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 213 mris_sphere ru_nivcsw 38270 FSRUNTIME@ mris_sphere 0.8590 hours 1 threads @#@FSTIME 2017:01:19:11:36:18 mris_sphere N 6 e 3092.41 S 0.85 U 3088.94 P 99% M 209624 F 0 R 34144 W 0 c 38272 w 222 I 0 O 8336 L 7.17 7.10 7.03 @#@FSLOADPOST 2017:01:19:12:27:50 mris_sphere N 6 7.02 7.07 7.03 #-------------------------------------------- #@# Sphere rh Thu Jan 19 12:27:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_sphere -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 0.322... 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 %19.46 pass 1: epoch 2 of 3 starting distance error %19.42 unfolding complete - removing small folds... starting distance error %19.38 removing remaining folds... final distance error %19.40 MRISunfold() return, current seed 1234 -01: dt=0.0000, 105 negative triangles 187: dt=0.9900, 105 negative triangles 188: dt=0.9900, 62 negative triangles 189: dt=0.9900, 67 negative triangles 190: dt=0.9900, 58 negative triangles 191: dt=0.9900, 53 negative triangles 192: dt=0.9900, 45 negative triangles 193: dt=0.9900, 50 negative triangles 194: dt=0.9900, 49 negative triangles 195: dt=0.9900, 44 negative triangles 196: dt=0.9900, 33 negative triangles 197: dt=0.9900, 35 negative triangles 198: dt=0.9900, 32 negative triangles 199: dt=0.9900, 28 negative triangles 200: dt=0.9900, 30 negative triangles 201: dt=0.9900, 29 negative triangles 202: dt=0.9900, 36 negative triangles 203: dt=0.9900, 38 negative triangles 204: dt=0.9900, 26 negative triangles 205: dt=0.9900, 25 negative triangles 206: dt=0.9900, 24 negative triangles 207: dt=0.9900, 23 negative triangles 208: dt=0.9900, 27 negative triangles 209: dt=0.9900, 27 negative triangles 210: dt=0.9900, 31 negative triangles 211: dt=0.9900, 31 negative triangles 212: dt=0.9900, 20 negative triangles 213: dt=0.9900, 23 negative triangles 214: dt=0.9900, 19 negative triangles 215: dt=0.9900, 25 negative triangles 216: dt=0.9900, 25 negative triangles 217: dt=0.9900, 27 negative triangles 218: dt=0.9900, 27 negative triangles 219: dt=0.9900, 24 negative triangles 220: dt=0.9900, 19 negative triangles 221: dt=0.9900, 22 negative triangles 222: dt=0.9900, 23 negative triangles 223: dt=0.9900, 25 negative triangles 224: dt=0.9405, 25 negative triangles 225: dt=0.9405, 24 negative triangles 226: dt=0.9405, 23 negative triangles 227: dt=0.9405, 23 negative triangles 228: dt=0.9405, 16 negative triangles 229: dt=0.9405, 25 negative triangles 230: dt=0.9405, 17 negative triangles 231: dt=0.9405, 21 negative triangles 232: dt=0.9405, 16 negative triangles 233: dt=0.9405, 19 negative triangles 234: dt=0.9405, 19 negative triangles 235: dt=0.9405, 19 negative triangles 236: dt=0.9405, 18 negative triangles 237: dt=0.9405, 19 negative triangles 238: dt=0.8935, 20 negative triangles 239: dt=0.8935, 13 negative triangles 240: dt=0.8935, 15 negative triangles 241: dt=0.8935, 12 negative triangles 242: dt=0.8935, 13 negative triangles 243: dt=0.8935, 10 negative triangles 244: dt=0.8935, 13 negative triangles 245: dt=0.8935, 11 negative triangles 246: dt=0.8935, 12 negative triangles 247: dt=0.8935, 14 negative triangles 248: dt=0.8935, 13 negative triangles 249: dt=0.8935, 12 negative triangles 250: dt=0.8935, 11 negative triangles 251: dt=0.8935, 13 negative triangles 252: dt=0.8935, 9 negative triangles 253: dt=0.8935, 6 negative triangles 254: dt=0.8935, 9 negative triangles 255: dt=0.8935, 5 negative triangles 256: dt=0.8935, 5 negative triangles 257: dt=0.8935, 6 negative triangles 258: dt=0.8935, 4 negative triangles 259: dt=0.8935, 3 negative triangles 260: dt=0.8935, 8 negative triangles 261: dt=0.8935, 3 negative triangles 262: dt=0.8935, 5 negative triangles 263: dt=0.8935, 4 negative triangles 264: dt=0.8935, 3 negative triangles 265: dt=0.8935, 4 negative triangles 266: dt=0.8935, 3 negative triangles 267: dt=0.8935, 2 negative triangles 268: dt=0.8935, 3 negative triangles 269: dt=0.8935, 6 negative triangles 270: dt=0.8935, 2 negative triangles 271: dt=0.8935, 2 negative triangles 272: dt=0.8935, 1 negative triangles writing spherical brain to ../surf/rh.sphere spherical transformation took 0.97 hours mris_sphere utimesec 3507.774737 mris_sphere stimesec 0.256960 mris_sphere ru_maxrss 210112 mris_sphere ru_ixrss 0 mris_sphere ru_idrss 0 mris_sphere ru_isrss 0 mris_sphere ru_minflt 34273 mris_sphere ru_majflt 0 mris_sphere ru_nswap 0 mris_sphere ru_inblock 0 mris_sphere ru_oublock 8344 mris_sphere ru_msgsnd 0 mris_sphere ru_msgrcv 0 mris_sphere ru_nsignals 0 mris_sphere ru_nvcsw 191 mris_sphere ru_nivcsw 22202 FSRUNTIME@ mris_sphere 0.9748 hours 1 threads @#@FSTIME 2017:01:19:12:27:51 mris_sphere N 6 e 3509.27 S 0.26 U 3507.77 P 99% M 210112 F 0 R 34278 W 0 c 22205 w 201 I 0 O 8352 L 7.02 7.07 7.03 @#@FSLOADPOST 2017:01:19:13:26:20 mris_sphere N 6 7.00 7.02 7.00 #-------------------------------------------- #@# Surf Reg lh Thu Jan 19 13:26:20 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/scripts cmdline mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 5.573 curvature mean = 0.034, std = 0.822 curvature mean = 0.015, std = 0.877 Starting MRISrigidBodyAlignGlobal() d=64.00 min @ (16.00, 0.00, -16.00) sse = 284730.6, tmin=1.2965 d=32.00 min @ (-16.00, -8.00, 8.00) sse = 211965.1, tmin=2.5977 d=16.00 min @ (4.00, 4.00, 0.00) sse = 170059.7, tmin=3.9116 d=8.00 min @ (2.00, 0.00, -2.00) sse = 166450.3, tmin=5.2321 d=4.00 min @ (-1.00, 0.00, 1.00) sse = 164778.2, tmin=6.5633 d=2.00 min @ (0.00, 0.00, -0.50) sse = 164397.9, tmin=7.8955 d=1.00 min @ (0.00, -0.25, 0.00) sse = 164296.1, tmin=9.2271 d=0.50 min @ (-0.12, 0.00, 0.00) sse = 164279.8, tmin=10.5543 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 10.55 min curvature mean = 0.016, std = 0.850 curvature mean = 0.006, std = 0.955 curvature mean = 0.015, std = 0.863 curvature mean = 0.002, std = 0.982 curvature mean = 0.014, std = 0.866 curvature mean = 0.001, std = 0.993 2 Reading smoothwm curvature mean = -0.024, std = 0.269 curvature mean = 0.043, std = 0.252 curvature mean = 0.058, std = 0.386 curvature mean = 0.039, std = 0.310 curvature mean = 0.028, std = 0.579 curvature mean = 0.038, std = 0.337 curvature mean = 0.015, std = 0.717 curvature mean = 0.038, std = 0.349 curvature mean = 0.004, std = 0.818 MRISregister() return, current seed 0 -01: dt=0.0000, 11 negative triangles 106: dt=0.9900, 11 negative triangles expanding nbhd size to 1 107: dt=0.9900, 23 negative triangles 108: dt=0.9900, 10 negative triangles 109: dt=0.9900, 15 negative triangles 110: dt=0.9900, 12 negative triangles 111: dt=0.9900, 11 negative triangles 112: dt=0.9900, 8 negative triangles 113: dt=0.9900, 6 negative triangles 114: dt=0.9900, 7 negative triangles 115: dt=0.9900, 6 negative triangles 116: dt=0.9900, 6 negative triangles 117: dt=0.9900, 6 negative triangles 118: dt=0.9900, 5 negative triangles 119: dt=0.9900, 3 negative triangles 120: dt=0.9900, 3 negative triangles 121: dt=0.9900, 2 negative triangles 122: dt=0.9900, 2 negative triangles 123: dt=0.9900, 2 negative triangles 124: dt=0.9900, 1 negative triangles 125: dt=0.9900, 1 negative triangles 126: dt=0.9900, 2 negative triangles 127: dt=0.9900, 1 negative triangles writing registered surface to ../surf/lh.sphere.reg... registration took 1.16 hours mris_register utimesec 4156.098177 mris_register stimesec 0.534918 mris_register ru_maxrss 204652 mris_register ru_ixrss 0 mris_register ru_idrss 0 mris_register ru_isrss 0 mris_register ru_minflt 25807 mris_register ru_majflt 0 mris_register ru_nswap 0 mris_register ru_inblock 0 mris_register ru_oublock 8328 mris_register ru_msgsnd 0 mris_register ru_msgrcv 0 mris_register ru_nsignals 0 mris_register ru_nvcsw 193 mris_register ru_nivcsw 30615 FSRUNTIME@ mris_register 1.1553 hours 1 threads @#@FSTIME 2017:01:19:13:26:20 mris_register N 6 e 4158.99 S 0.53 U 4156.10 P 99% M 204652 F 0 R 25812 W 0 c 30616 w 202 I 0 O 8336 L 7.00 7.02 7.00 @#@FSLOADPOST 2017:01:19:14:35:39 mris_register N 6 6.99 6.80 6.66 #-------------------------------------------- #@# Surf Reg rh Thu Jan 19 14:35:39 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/scripts cmdline mris_register -curv -rusage /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 5.563 curvature mean = 0.029, std = 0.813 curvature mean = 0.014, std = 0.880 Starting MRISrigidBodyAlignGlobal() d=64.00 min @ (16.00, 0.00, 0.00) sse = 305614.0, tmin=1.2568 d=32.00 min @ (-8.00, -8.00, -8.00) sse = 214170.8, tmin=2.5156 d=16.00 min @ (0.00, 0.00, 4.00) sse = 182461.4, tmin=3.7972 d=4.00 min @ (-1.00, 0.00, 0.00) sse = 181766.0, tmin=6.3736 d=2.00 min @ (0.00, -0.50, -0.50) sse = 181071.1, tmin=7.6634 d=1.00 min @ (0.00, 0.00, 0.25) sse = 180999.7, tmin=8.9606 d=0.50 min @ (0.12, 0.00, -0.12) sse = 180982.1, tmin=10.2656 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 10.27 min curvature mean = 0.001, std = 0.839 curvature mean = 0.006, std = 0.956 curvature mean = -0.001, std = 0.851 curvature mean = 0.002, std = 0.982 curvature mean = -0.001, std = 0.854 curvature mean = -0.000, std = 0.993 2 Reading smoothwm curvature mean = -0.026, std = 0.274 curvature mean = 0.036, std = 0.248 curvature mean = 0.058, std = 0.387 curvature mean = 0.031, std = 0.306 curvature mean = 0.033, std = 0.581 curvature mean = 0.030, std = 0.334 curvature mean = 0.017, std = 0.721 curvature mean = 0.030, std = 0.346 curvature mean = 0.006, std = 0.826 MRISregister() return, current seed 0 -01: dt=0.0000, 39 negative triangles 108: dt=0.9900, 39 negative triangles expanding nbhd size to 1 109: dt=0.9900, 53 negative triangles 110: dt=0.9900, 32 negative triangles 111: dt=0.9900, 33 negative triangles 112: dt=0.9900, 33 negative triangles 113: dt=0.9900, 27 negative triangles 114: dt=0.9900, 28 negative triangles 115: dt=0.9900, 26 negative triangles 116: dt=0.9900, 26 negative triangles 117: dt=0.9900, 25 negative triangles 118: dt=0.9900, 26 negative triangles 119: dt=0.9900, 23 negative triangles 120: dt=0.9900, 22 negative triangles 121: dt=0.9900, 24 negative triangles 122: dt=0.9900, 24 negative triangles 123: dt=0.9900, 20 negative triangles 124: dt=0.9900, 22 negative triangles 125: dt=0.9900, 21 negative triangles 126: dt=0.9900, 21 negative triangles 127: dt=0.9900, 19 negative triangles 128: dt=0.9900, 18 negative triangles 129: dt=0.9900, 14 negative triangles 130: dt=0.9900, 14 negative triangles 131: dt=0.9900, 14 negative triangles 132: dt=0.9900, 14 negative triangles 133: dt=0.9900, 13 negative triangles 134: dt=0.9900, 13 negative triangles 135: dt=0.9900, 12 negative triangles 136: dt=0.9900, 11 negative triangles 137: dt=0.9900, 11 negative triangles 138: dt=0.9900, 11 negative triangles 139: dt=0.9900, 11 negative triangles 140: dt=0.9900, 11 negative triangles 141: dt=0.9900, 11 negative triangles 142: dt=0.9900, 11 negative triangles 143: dt=0.9900, 11 negative triangles 144: dt=0.9900, 11 negative triangles 145: dt=0.9900, 11 negative triangles 146: dt=0.9405, 11 negative triangles 147: dt=0.9405, 11 negative triangles 148: dt=0.9405, 11 negative triangles 149: dt=0.9405, 11 negative triangles 150: dt=0.9405, 9 negative triangles 151: dt=0.9405, 9 negative triangles 152: dt=0.9405, 8 negative triangles 153: dt=0.9405, 7 negative triangles 154: dt=0.9405, 7 negative triangles 155: dt=0.9405, 8 negative triangles 156: dt=0.9405, 7 negative triangles 157: dt=0.9405, 7 negative triangles 158: dt=0.9405, 7 negative triangles 159: dt=0.9405, 6 negative triangles 160: dt=0.9405, 6 negative triangles 161: dt=0.9405, 7 negative triangles 162: dt=0.9405, 6 negative triangles 163: dt=0.9405, 6 negative triangles 164: dt=0.9405, 6 negative triangles 165: dt=0.9405, 5 negative triangles 166: dt=0.9405, 4 negative triangles 167: dt=0.9405, 5 negative triangles 168: dt=0.9405, 4 negative triangles 169: dt=0.9405, 3 negative triangles 170: dt=0.9405, 4 negative triangles 171: dt=0.9405, 4 negative triangles 172: dt=0.9405, 4 negative triangles 173: dt=0.9405, 2 negative triangles 174: dt=0.9405, 2 negative triangles 175: dt=0.9405, 5 negative triangles 176: dt=0.9405, 2 negative triangles 177: dt=0.9405, 1 negative triangles 178: dt=0.9405, 1 negative triangles 179: dt=0.9405, 1 negative triangles 180: dt=0.9405, 3 negative triangles 181: dt=0.9405, 1 negative triangles writing registered surface to ../surf/rh.sphere.reg... registration took 1.53 hours mris_register utimesec 5501.857590 mris_register stimesec 1.089834 mris_register ru_maxrss 208616 mris_register ru_ixrss 0 mris_register ru_idrss 0 mris_register ru_isrss 0 mris_register ru_minflt 26282 mris_register ru_majflt 0 mris_register ru_nswap 0 mris_register ru_inblock 5584 mris_register ru_oublock 8344 mris_register ru_msgsnd 0 mris_register ru_msgrcv 0 mris_register ru_nsignals 0 mris_register ru_nvcsw 223 mris_register ru_nivcsw 33924 FSRUNTIME@ mris_register 1.5325 hours 1 threads @#@FSTIME 2017:01:19:14:35:39 mris_register N 6 e 5516.99 S 1.09 U 5501.85 P 99% M 208616 F 0 R 26287 W 0 c 33925 w 233 I 5584 O 8352 L 6.99 6.80 6.66 @#@FSLOADPOST 2017:01:19:16:07:36 mris_register N 6 7.01 7.06 6.94 #-------------------------------------------- #@# Jacobian white lh Thu Jan 19 16:07:37 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:16:07:37 mris_jacobian N 3 e 2.82 S 0.13 U 2.40 P 89% M 152012 F 12 R 19706 W 0 c 84 w 59 I 10112 O 928 L 7.01 7.06 6.94 @#@FSLOADPOST 2017:01:19:16:07:40 mris_jacobian N 3 7.01 7.06 6.94 #-------------------------------------------- #@# Jacobian white rh Thu Jan 19 16:07:40 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:16:07:40 mris_jacobian N 3 e 2.63 S 0.12 U 2.35 P 93% M 152396 F 0 R 19814 W 0 c 35 w 41 I 0 O 928 L 7.01 7.06 6.94 @#@FSLOADPOST 2017:01:19:16:07:42 mris_jacobian N 3 7.01 7.06 6.94 #-------------------------------------------- #@# AvgCurv lh Thu Jan 19 16:07:42 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:16:07:42 mrisp_paint N 5 e 2.55 S 0.13 U 2.22 P 92% M 157280 F 0 R 20000 W 0 c 37 w 39 I 0 O 928 L 7.01 7.06 6.94 @#@FSLOADPOST 2017:01:19:16:07:45 mrisp_paint N 5 7.17 7.09 6.95 #-------------------------------------------- #@# AvgCurv rh Thu Jan 19 16:07:45 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 2017:01:19:16:07:45 mrisp_paint N 5 e 2.67 S 0.12 U 2.26 P 89% M 157672 F 0 R 20608 W 0 c 41 w 37 I 0 O 928 L 7.17 7.09 6.95 @#@FSLOADPOST 2017:01:19:16:07:48 mrisp_paint N 5 7.17 7.09 6.95 #----------------------------------------- #@# Cortical Parc lh Thu Jan 19 16:07:48 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 039 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... 910 labels changed using aseg relabeling using gibbs priors... 000: 2834 changed, 118335 examined... 001: 658 changed, 11933 examined... 002: 166 changed, 3700 examined... 003: 56 changed, 978 examined... 004: 15 changed, 313 examined... 005: 4 changed, 80 examined... 006: 1 changed, 24 examined... 007: 0 changed, 5 examined... 249 labels changed using aseg 000: 105 total segments, 60 labels (238 vertices) changed 001: 45 total segments, 0 labels (0 vertices) changed 8 filter iterations complete (10 requested, 0 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 1668 vertices marked for relabeling... 1668 labels changed in reclassification. writing output to ../label/lh.aparc.annot... classification took 0 minutes and 20 seconds. @#@FSTIME 2017:01:19:16:07:48 mris_ca_label N 11 e 19.93 S 0.42 U 19.07 P 97% M 496800 F 0 R 74750 W 0 c 1237 w 87 I 62920 O 1856 L 7.17 7.09 6.95 @#@FSLOADPOST 2017:01:19:16:08:08 mris_ca_label N 11 7.12 7.08 6.95 #----------------------------------------- #@# Cortical Parc rh Thu Jan 19 16:08:08 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 039 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... 1060 labels changed using aseg relabeling using gibbs priors... 000: 2471 changed, 118521 examined... 001: 561 changed, 10854 examined... 002: 125 changed, 3128 examined... 003: 46 changed, 792 examined... 004: 11 changed, 284 examined... 005: 5 changed, 69 examined... 006: 0 changed, 29 examined... 175 labels changed using aseg 000: 100 total segments, 62 labels (147 vertices) changed 001: 40 total segments, 2 labels (2 vertices) changed 002: 38 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... 1443 vertices marked for relabeling... 1443 labels changed in reclassification. writing output to ../label/rh.aparc.annot... classification took 0 minutes and 18 seconds. @#@FSTIME 2017:01:19:16:08:08 mris_ca_label N 11 e 17.95 S 0.43 U 17.10 P 97% M 501060 F 0 R 75635 W 0 c 647 w 79 I 36352 O 1856 L 7.12 7.08 6.95 @#@FSLOADPOST 2017:01:19:16:08:26 mris_ca_label N 11 7.08 7.08 6.95 #-------------------------------------------- #@# Make Pial Surf lh Thu Jan 19 16:08:26 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_make_surfaces -orig_white white.preaparc -orig_pial white.preaparc -aseg ../mri/aseg.presurf -mgz -T1 brain.finalsurfs 039 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/stable6/039/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... 19343 bright wm thresholded. 2584 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.orig... computing class statistics... border white: 224099 voxels (1.34%) border gray 251318 voxels (1.50%) WM (96.0): 96.6 +- 9.1 [70.0 --> 110.0] GM (68.0) : 67.1 +- 11.1 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 50.9 (was 70) setting MAX_BORDER_WHITE to 111.1 (was 105) setting MIN_BORDER_WHITE to 62.0 (was 85) setting MAX_CSF to 39.9 (was 40) setting MAX_GRAY to 92.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 50.9 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 28.8 (was 40) using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=102+-8.7, GM=62+-9.6 mean inside = 91.4, mean outside = 71.0 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 0.90 +- 0.26 (0.02-->5.44) (max @ vno 84937 --> 86947) face area 0.34 +- 0.16 (0.00-->3.20) mean absolute distance = 0.72 +- 1.01 2907 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... deleting segment 0 with 114 points - only 0.00% unknown deleting segment 2 with 308 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 3 with 2 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 7 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 6 with 2 points - only 0.00% unknown mean border=74.9, 181 (180) missing vertices, mean dist 0.3 [1.7 (%12.2)->0.6 (%87.8))] %49 local maxima, %46 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 0.93 +- 0.26 (0.09-->5.56) (max @ vno 84937 --> 86947) face area 0.34 +- 0.17 (0.00-->2.63) mean absolute distance = 0.39 +- 0.73 2938 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=2477977.0, rms=9.175 001: dt: 0.5000, sse=1274058.1, rms=5.554 (39.469%) 002: dt: 0.5000, sse=961179.8, rms=4.125 (25.725%) 003: dt: 0.5000, sse=906968.2, rms=3.844 (6.805%) 004: dt: 0.5000, sse=864297.6, rms=3.586 (6.713%) rms = 3.69, time step reduction 1 of 3 to 0.250... 005: dt: 0.2500, sse=729906.8, rms=2.598 (27.545%) 006: dt: 0.2500, sse=683078.1, rms=2.131 (17.983%) 007: dt: 0.2500, sse=668924.9, rms=1.957 (8.154%) 008: dt: 0.2500, sse=663157.6, rms=1.899 (2.966%) rms = 1.86, time step reduction 2 of 3 to 0.125... 009: dt: 0.2500, sse=659428.4, rms=1.858 (2.166%) 010: dt: 0.1250, sse=654591.7, rms=1.791 (3.597%) rms = 1.78, time step reduction 3 of 3 to 0.062... 011: dt: 0.1250, sse=653263.6, rms=1.778 (0.769%) positioning took 1.2 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 111 points - only 0.00% unknown deleting segment 1 with 80 points - only 0.00% unknown deleting segment 2 with 12 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 3 with 2 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 4 with 2 points - only 0.00% unknown mean border=78.1, 141 (83) missing vertices, mean dist -0.2 [0.5 (%68.1)->0.2 (%31.9))] %63 local maxima, %32 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 0.92 +- 0.26 (0.05-->5.37) (max @ vno 84937 --> 86947) face area 0.36 +- 0.17 (0.00-->3.15) mean absolute distance = 0.30 +- 0.47 2929 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1155154.8, rms=4.879 012: dt: 0.5000, sse=868552.9, rms=3.345 (31.446%) rms = 3.51, time step reduction 1 of 3 to 0.250... 013: dt: 0.2500, sse=765676.1, rms=2.567 (23.256%) 014: dt: 0.2500, sse=708203.4, rms=2.011 (21.681%) 015: dt: 0.2500, sse=686288.4, rms=1.752 (12.862%) 016: dt: 0.2500, sse=678105.8, rms=1.647 (6.000%) rms = 1.61, time step reduction 2 of 3 to 0.125... 017: dt: 0.2500, sse=675971.2, rms=1.614 (1.974%) 018: dt: 0.1250, sse=670659.1, rms=1.536 (4.827%) rms = 1.53, time step reduction 3 of 3 to 0.062... 019: dt: 0.1250, sse=669590.4, rms=1.526 (0.695%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 137 points - only 0.00% unknown deleting segment 1 with 95 points - only 0.00% unknown deleting segment 2 with 17 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 4 with 4 points - only 0.00% unknown deleting segment 5 with 10 points - only 0.00% unknown mean border=81.2, 147 (76) missing vertices, mean dist -0.2 [0.3 (%70.7)->0.2 (%29.3))] %79 local maxima, %16 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 0.91 +- 0.26 (0.07-->5.55) (max @ vno 84937 --> 86947) face area 0.35 +- 0.17 (0.00-->3.42) mean absolute distance = 0.24 +- 0.37 2218 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=987840.2, rms=4.152 020: dt: 0.5000, sse=827163.5, rms=3.159 (23.929%) rms = 3.41, time step reduction 1 of 3 to 0.250... 021: dt: 0.2500, sse=708304.1, rms=2.178 (31.052%) 022: dt: 0.2500, sse=663410.9, rms=1.667 (23.477%) 023: dt: 0.2500, sse=650582.9, rms=1.491 (10.546%) rms = 1.47, time step reduction 2 of 3 to 0.125... 024: dt: 0.2500, sse=648666.1, rms=1.467 (1.599%) 025: dt: 0.1250, sse=642028.6, rms=1.368 (6.767%) rms = 1.36, time step reduction 3 of 3 to 0.062... 026: dt: 0.1250, sse=641308.6, rms=1.358 (0.678%) positioning took 0.8 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 133 points - only 0.00% unknown deleting segment 1 with 5 points - only 0.00% unknown deleting segment 2 with 104 points - only 0.00% unknown removing 2 vertex label from ripped group deleting segment 3 with 2 points - only 0.00% unknown deleting segment 4 with 24 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 5 with 4 points - only 0.00% unknown deleting segment 6 with 10 points - only 0.00% unknown mean border=82.3, 164 (74) missing vertices, mean dist -0.1 [0.3 (%57.2)->0.2 (%42.8))] %84 local maxima, %11 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/stable6/039/surf/lh.white... writing smoothed curvature to lh.curv 000: dt: 0.0000, sse=679993.6, rms=2.023 rms = 2.28, time step reduction 1 of 3 to 0.250... 027: dt: 0.2500, sse=631186.9, rms=1.388 (31.422%) 028: dt: 0.2500, sse=613962.6, rms=1.073 (22.702%) rms = 1.09, time step reduction 2 of 3 to 0.125... rms = 1.06, time step reduction 3 of 3 to 0.062... 029: dt: 0.1250, sse=612889.3, rms=1.064 (0.838%) positioning took 0.5 minutes generating cortex label... 12 non-cortical segments detected only using segment with 6921 vertices erasing segment 0 (vno[0] = 25793) erasing segment 1 (vno[0] = 27892) erasing segment 3 (vno[0] = 63512) erasing segment 4 (vno[0] = 66279) erasing segment 5 (vno[0] = 76169) erasing segment 6 (vno[0] = 84991) erasing segment 7 (vno[0] = 86946) erasing segment 8 (vno[0] = 86987) erasing segment 9 (vno[0] = 95267) erasing segment 10 (vno[0] = 118158) erasing segment 11 (vno[0] = 118159) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.curv writing smoothed area to lh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.area vertex spacing 0.90 +- 0.26 (0.02-->5.59) (max @ vno 84937 --> 86947) face area 0.34 +- 0.17 (0.00-->3.51) 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... deleting segment 0 with 132 points - only 0.00% unknown deleting segment 1 with 5 points - only 0.00% unknown removing 1 vertex label from ripped group deleting segment 5 with 1 points - only 0.00% unknown smoothing surface for 5 iterations... reading initial pial vertex positions from white.preaparc... mean border=48.8, 165 (165) missing vertices, mean dist 1.9 [2.1 (%0.1)->2.4 (%99.9))] %16 local maxima, %60 large gradients and %18 min vals, 182 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=26684430.0, rms=34.037 001: dt: 0.0500, sse=23562974.0, rms=31.937 (6.170%) 002: dt: 0.0500, sse=21305000.0, rms=30.328 (5.040%) 003: dt: 0.0500, sse=19568128.0, rms=29.029 (4.283%) 004: dt: 0.0500, sse=18159444.0, rms=27.931 (3.782%) 005: dt: 0.0500, sse=16970218.0, rms=26.969 (3.444%) 006: dt: 0.0500, sse=15938190.0, rms=26.105 (3.202%) 007: dt: 0.0500, sse=15022358.0, rms=25.315 (3.030%) 008: dt: 0.0500, sse=14199753.0, rms=24.582 (2.892%) 009: dt: 0.0500, sse=13451675.0, rms=23.897 (2.788%) 010: dt: 0.0500, sse=12765040.0, rms=23.250 (2.707%) positioning took 1.0 minutes mean border=48.7, 105 (82) missing vertices, mean dist 1.5 [1.7 (%0.1)->1.8 (%99.9))] %17 local maxima, %61 large gradients and %17 min vals, 159 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=13302418.0, rms=23.754 011: dt: 0.0500, sse=12665384.0, rms=23.151 (2.538%) 012: dt: 0.0500, sse=12074048.0, rms=22.577 (2.480%) 013: dt: 0.0500, sse=11522687.0, rms=22.029 (2.431%) 014: dt: 0.0500, sse=11007852.0, rms=21.503 (2.384%) 015: dt: 0.0500, sse=10526215.0, rms=21.000 (2.340%) 016: dt: 0.0500, sse=10075221.0, rms=20.518 (2.298%) 017: dt: 0.0500, sse=9652762.0, rms=20.055 (2.255%) 018: dt: 0.0500, sse=9257028.0, rms=19.612 (2.210%) 019: dt: 0.0500, sse=8885484.0, rms=19.186 (2.170%) 020: dt: 0.0500, sse=8536846.0, rms=18.778 (2.128%) positioning took 1.0 minutes mean border=48.5, 102 (64) missing vertices, mean dist 1.2 [0.2 (%0.9)->1.5 (%99.1))] %17 local maxima, %61 large gradients and %17 min vals, 138 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=8616251.0, rms=18.877 021: dt: 0.0500, sse=8277954.5, rms=18.474 (2.133%) 022: dt: 0.0500, sse=7960505.5, rms=18.088 (2.089%) 023: dt: 0.0500, sse=7660348.0, rms=17.715 (2.061%) 024: dt: 0.0500, sse=7379730.0, rms=17.360 (2.009%) 025: dt: 0.0500, sse=7117137.0, rms=17.020 (1.957%) 026: dt: 0.0500, sse=6870906.0, rms=16.695 (1.910%) 027: dt: 0.0500, sse=6637330.5, rms=16.380 (1.883%) 028: dt: 0.0500, sse=6412434.0, rms=16.072 (1.884%) 029: dt: 0.0500, sse=6196706.5, rms=15.770 (1.878%) 030: dt: 0.0500, sse=5990473.0, rms=15.476 (1.864%) positioning took 1.0 minutes mean border=48.4, 113 (54) missing vertices, mean dist 1.0 [0.1 (%10.8)->1.3 (%89.2))] %18 local maxima, %61 large gradients and %17 min vals, 130 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=6074865.0, rms=15.595 031: dt: 0.5000, sse=4643436.5, rms=13.400 (14.075%) 032: dt: 0.5000, sse=3646601.0, rms=11.620 (13.283%) 033: dt: 0.5000, sse=2881719.5, rms=10.050 (13.513%) 034: dt: 0.5000, sse=2326355.0, rms=8.723 (13.208%) 035: dt: 0.5000, sse=1936368.4, rms=7.661 (12.176%) 036: dt: 0.5000, sse=1671142.2, rms=6.836 (10.767%) 037: dt: 0.5000, sse=1501283.4, rms=6.258 (8.456%) 038: dt: 0.5000, sse=1391953.2, rms=5.846 (6.571%) 039: dt: 0.5000, sse=1326850.5, rms=5.595 (4.304%) 040: dt: 0.5000, sse=1284669.0, rms=5.416 (3.194%) 041: dt: 0.5000, sse=1257864.1, rms=5.308 (2.001%) 042: dt: 0.5000, sse=1237759.0, rms=5.215 (1.755%) rms = 5.17, time step reduction 1 of 3 to 0.250... 043: dt: 0.5000, sse=1225340.8, rms=5.165 (0.945%) 044: dt: 0.2500, sse=1083395.6, rms=4.448 (13.889%) 045: dt: 0.2500, sse=1042890.7, rms=4.238 (4.714%) rms = 4.22, time step reduction 2 of 3 to 0.125... 046: dt: 0.2500, sse=1040241.6, rms=4.220 (0.438%) 047: dt: 0.1250, sse=1018222.9, rms=4.095 (2.950%) rms = 4.07, time step reduction 3 of 3 to 0.062... 048: dt: 0.1250, sse=1014522.9, rms=4.075 (0.502%) positioning took 2.0 minutes mean border=46.8, 1064 (4) missing vertices, mean dist 0.2 [0.2 (%44.7)->0.5 (%55.3))] %35 local maxima, %45 large gradients and %15 min vals, 78 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=1283172.1, rms=4.705 049: dt: 0.5000, sse=1201076.8, rms=4.298 (8.644%) rms = 4.34, time step reduction 1 of 3 to 0.250... 050: dt: 0.2500, sse=1073667.9, rms=3.550 (17.409%) 051: dt: 0.2500, sse=1029471.1, rms=3.257 (8.248%) 052: dt: 0.2500, sse=1015591.9, rms=3.161 (2.944%) rms = 3.11, time step reduction 2 of 3 to 0.125... 053: dt: 0.2500, sse=1008486.5, rms=3.114 (1.504%) 054: dt: 0.1250, sse=987174.9, rms=2.949 (5.277%) rms = 2.92, time step reduction 3 of 3 to 0.062... 055: dt: 0.1250, sse=983289.9, rms=2.921 (0.967%) positioning took 0.9 minutes mean border=45.3, 1196 (1) missing vertices, mean dist 0.1 [0.1 (%44.6)->0.4 (%55.4))] %51 local maxima, %29 large gradients and %14 min vals, 85 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=1096470.2, rms=3.651 rms = 4.03, time step reduction 1 of 3 to 0.250... 056: dt: 0.2500, sse=1027391.9, rms=3.194 (12.539%) 057: dt: 0.2500, sse=1001321.5, rms=3.003 (5.977%) rms = 2.96, time step reduction 2 of 3 to 0.125... 058: dt: 0.2500, sse=994144.0, rms=2.960 (1.433%) 059: dt: 0.1250, sse=980427.4, rms=2.849 (3.742%) rms = 2.83, time step reduction 3 of 3 to 0.062... 060: dt: 0.1250, sse=977099.6, rms=2.825 (0.830%) positioning took 0.7 minutes mean border=44.3, 2039 (1) missing vertices, mean dist 0.1 [0.2 (%46.7)->0.3 (%53.3))] %57 local maxima, %23 large gradients and %13 min vals, 73 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/stable6/039/surf/lh.pial... writing smoothed curvature to lh.curv.pial 000: dt: 0.0000, sse=1013787.6, rms=3.093 rms = 3.63, time step reduction 1 of 3 to 0.250... 061: dt: 0.2500, sse=984657.3, rms=2.866 (7.337%) 062: dt: 0.2500, sse=974140.4, rms=2.790 (2.647%) rms = 2.77, time step reduction 2 of 3 to 0.125... 063: dt: 0.2500, sse=970762.8, rms=2.775 (0.568%) 064: dt: 0.1250, sse=958624.5, rms=2.672 (3.689%) rms = 2.65, time step reduction 3 of 3 to 0.062... 065: dt: 0.1250, sse=955194.3, rms=2.647 (0.930%) positioning took 0.7 minutes writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.curv.pial writing smoothed area to lh.area.pial writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.area.pial vertex spacing 1.02 +- 0.42 (0.07-->6.86) (max @ vno 83362 --> 82526) face area 0.41 +- 0.31 (0.00-->5.70) measuring cortical thickness... writing cortical thickness estimate to 'thickness' file. 0 of 118335 vertices processed 25000 of 118335 vertices processed 50000 of 118335 vertices processed 75000 of 118335 vertices processed 100000 of 118335 vertices processed 0 of 118335 vertices processed 25000 of 118335 vertices processed 50000 of 118335 vertices processed 75000 of 118335 vertices processed 100000 of 118335 vertices processed thickness calculation complete, 144:414 truncations. 35292 vertices at 0 distance 97084 vertices at 1 distance 65039 vertices at 2 distance 20305 vertices at 3 distance 5423 vertices at 4 distance 1580 vertices at 5 distance 537 vertices at 6 distance 182 vertices at 7 distance 82 vertices at 8 distance 50 vertices at 9 distance 20 vertices at 10 distance 15 vertices at 11 distance 10 vertices at 12 distance 3 vertices at 13 distance 2 vertices at 14 distance 5 vertices at 15 distance 5 vertices at 16 distance 3 vertices at 17 distance 0 vertices at 18 distance 1 vertices at 19 distance 2 vertices at 20 distance writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.thickness positioning took 14.7 minutes @#@FSTIME 2017:01:19:16:08:26 mris_make_surfaces N 11 e 882.66 S 5.29 U 875.14 P 99% M 489828 F 0 R 1490562 W 0 c 2231 w 649 I 0 O 31016 L 7.08 7.08 6.95 @#@FSLOADPOST 2017:01:19:16:23:09 mris_make_surfaces N 11 7.01 7.02 6.97 #-------------------------------------------- #@# Make Pial Surf rh Thu Jan 19 16:23:09 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_make_surfaces -orig_white white.preaparc -orig_pial white.preaparc -aseg ../mri/aseg.presurf -mgz -T1 brain.finalsurfs 039 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/stable6/039/mri/filled.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/brain.finalsurfs.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/../mri/aseg.presurf.mgz... reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... 19343 bright wm thresholded. 2584 bright non-wm voxels segmented. reading original surface position from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.orig... computing class statistics... border white: 224099 voxels (1.34%) border gray 251318 voxels (1.50%) WM (96.0): 96.6 +- 9.1 [70.0 --> 110.0] GM (68.0) : 67.1 +- 11.1 [30.0 --> 110.0] setting MIN_GRAY_AT_WHITE_BORDER to 50.9 (was 70) setting MAX_BORDER_WHITE to 110.1 (was 105) setting MIN_BORDER_WHITE to 62.0 (was 85) setting MAX_CSF to 39.9 (was 40) setting MAX_GRAY to 91.9 (was 95) setting MAX_GRAY_AT_CSF_BORDER to 50.9 (was 75) setting MIN_GRAY_AT_CSF_BORDER to 28.8 (was 40) using class modes intead of means, discounting robust sigmas.... intensity peaks found at WM=101+-7.0, GM=62+-9.6 mean inside = 91.3, mean outside = 70.7 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 0.90 +- 0.25 (0.04-->4.36) (max @ vno 99883 --> 118401) face area 0.34 +- 0.16 (0.00-->4.14) mean absolute distance = 0.70 +- 1.00 2750 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... inhibiting deformation at non-cortical midline structures... deleting segment 0 with 50 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 2 with 4 points - only 0.00% unknown deleting segment 3 with 263 points - only 0.00% unknown deleting segment 4 with 7 points - only 0.00% unknown removing 4 vertex label from ripped group deleting segment 5 with 4 points - only 0.00% unknown mean border=74.8, 90 (88) missing vertices, mean dist 0.3 [1.6 (%12.6)->0.6 (%87.4))] %48 local maxima, %47 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 (0.11-->4.39) (max @ vno 118399 --> 118401) face area 0.34 +- 0.16 (0.00-->3.84) mean absolute distance = 0.38 +- 0.72 2828 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=2408721.8, rms=9.001 001: dt: 0.5000, sse=1233853.1, rms=5.387 (40.153%) 002: dt: 0.5000, sse=931686.8, rms=3.974 (26.228%) 003: dt: 0.5000, sse=887168.2, rms=3.731 (6.107%) 004: dt: 0.5000, sse=848126.5, rms=3.499 (6.236%) rms = 3.64, time step reduction 1 of 3 to 0.250... 005: dt: 0.2500, sse=714954.8, rms=2.454 (29.852%) 006: dt: 0.2500, sse=669239.2, rms=1.971 (19.704%) 007: dt: 0.2500, sse=656414.2, rms=1.812 (8.031%) rms = 1.77, time step reduction 2 of 3 to 0.125... 008: dt: 0.2500, sse=654058.1, rms=1.775 (2.082%) 009: dt: 0.1250, sse=648261.0, rms=1.696 (4.424%) rms = 1.69, time step reduction 3 of 3 to 0.062... 010: dt: 0.1250, sse=647702.8, rms=1.687 (0.536%) positioning took 1.1 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 57 points - only 0.00% unknown deleting segment 1 with 109 points - only 0.00% unknown deleting segment 2 with 5 points - only 0.00% unknown deleting segment 3 with 42 points - only 59.52% unknown deleting segment 4 with 18 points - only 0.00% unknown mean border=77.9, 77 (22) missing vertices, mean dist -0.2 [0.5 (%67.2)->0.2 (%32.8))] %63 local maxima, %32 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 0.92 +- 0.26 (0.11-->4.37) (max @ vno 94811 --> 94805) face area 0.36 +- 0.17 (0.00-->4.31) mean absolute distance = 0.30 +- 0.46 2733 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=1103322.5, rms=4.629 011: dt: 0.5000, sse=843245.9, rms=3.161 (31.720%) rms = 3.40, time step reduction 1 of 3 to 0.250... 012: dt: 0.2500, sse=742512.2, rms=2.344 (25.835%) 013: dt: 0.2500, sse=691113.8, rms=1.792 (23.547%) 014: dt: 0.2500, sse=673481.3, rms=1.560 (12.970%) 015: dt: 0.2500, sse=668593.2, rms=1.483 (4.932%) rms = 1.45, time step reduction 2 of 3 to 0.125... 016: dt: 0.2500, sse=666196.7, rms=1.453 (2.006%) 017: dt: 0.1250, sse=661528.7, rms=1.376 (5.311%) rms = 1.37, time step reduction 3 of 3 to 0.062... 018: dt: 0.1250, sse=661501.2, rms=1.374 (0.156%) positioning took 0.9 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 44 points - only 0.00% unknown deleting segment 2 with 126 points - only 0.00% unknown deleting segment 3 with 7 points - only 0.00% unknown deleting segment 5 with 23 points - only 0.00% unknown mean border=80.9, 76 (9) missing vertices, mean dist -0.2 [0.3 (%70.2)->0.2 (%29.8))] %78 local maxima, %17 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 0.91 +- 0.26 (0.07-->4.33) (max @ vno 66133 --> 65156) face area 0.35 +- 0.17 (0.00-->4.15) mean absolute distance = 0.25 +- 0.36 2133 vertices more than 2 sigmas from mean. averaging target values for 5 iterations... 000: dt: 0.0000, sse=973054.2, rms=4.063 019: dt: 0.5000, sse=815841.9, rms=3.068 (24.485%) rms = 3.36, time step reduction 1 of 3 to 0.250... 020: dt: 0.2500, sse=697310.6, rms=2.048 (33.244%) 021: dt: 0.2500, sse=654825.2, rms=1.524 (25.592%) 022: dt: 0.2500, sse=643467.6, rms=1.361 (10.693%) rms = 1.35, time step reduction 2 of 3 to 0.125... 023: dt: 0.2500, sse=642055.2, rms=1.346 (1.145%) 024: dt: 0.1250, sse=636172.2, rms=1.242 (7.669%) rms = 1.24, time step reduction 3 of 3 to 0.062... 025: dt: 0.1250, sse=635981.6, rms=1.241 (0.082%) positioning took 0.8 minutes inhibiting deformation at non-cortical midline structures... deleting segment 0 with 28 points - only 0.00% unknown removing 3 vertex label from ripped group deleting segment 1 with 3 points - only 0.00% unknown deleting segment 2 with 200 points - only 0.00% unknown deleting segment 3 with 8 points - only 0.00% unknown mean border=82.1, 89 (6) missing vertices, mean dist -0.1 [0.3 (%57.6)->0.2 (%42.4))] %84 local maxima, %11 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/stable6/039/surf/rh.white... writing smoothed curvature to rh.curv 000: dt: 0.0000, sse=676390.1, rms=1.972 rms = 2.26, time step reduction 1 of 3 to 0.250... 026: dt: 0.2500, sse=625790.1, rms=1.280 (35.089%) 027: dt: 0.2500, sse=608129.6, rms=0.920 (28.114%) rms = 0.94, time step reduction 2 of 3 to 0.125... rms = 0.91, time step reduction 3 of 3 to 0.062... 028: dt: 0.1250, sse=607580.9, rms=0.915 (0.598%) positioning took 0.5 minutes generating cortex label... 10 non-cortical segments detected only using segment with 6780 vertices erasing segment 0 (vno[0] = 34550) erasing segment 1 (vno[0] = 36446) erasing segment 2 (vno[0] = 36501) erasing segment 4 (vno[0] = 84877) erasing segment 5 (vno[0] = 85881) erasing segment 6 (vno[0] = 85934) erasing segment 7 (vno[0] = 86775) erasing segment 8 (vno[0] = 86805) erasing segment 9 (vno[0] = 94092) writing cortex label to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.cortex.label... writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.curv writing smoothed area to rh.area writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.area vertex spacing 0.90 +- 0.26 (0.04-->4.38) (max @ vno 65156 --> 66133) face area 0.34 +- 0.17 (0.00-->3.99) 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... deleting segment 0 with 26 points - only 0.00% unknown removing 3 vertex label from ripped group smoothing surface for 5 iterations... reading initial pial vertex positions from white.preaparc... mean border=48.7, 94 (94) missing vertices, mean dist 1.9 [1.0 (%0.0)->2.4 (%100.0))] %16 local maxima, %60 large gradients and %19 min vals, 164 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=26501762.0, rms=33.910 001: dt: 0.0500, sse=23395522.0, rms=31.813 (6.183%) 002: dt: 0.0500, sse=21155056.0, rms=30.210 (5.038%) 003: dt: 0.0500, sse=19430860.0, rms=28.916 (4.283%) 004: dt: 0.0500, sse=18031410.0, rms=27.822 (3.785%) 005: dt: 0.0500, sse=16850646.0, rms=26.863 (3.444%) 006: dt: 0.0500, sse=15825023.0, rms=26.002 (3.205%) 007: dt: 0.0500, sse=14916256.0, rms=25.215 (3.029%) 008: dt: 0.0500, sse=14097443.0, rms=24.484 (2.900%) 009: dt: 0.0500, sse=13351514.0, rms=23.798 (2.801%) 010: dt: 0.0500, sse=12665816.0, rms=23.149 (2.725%) positioning took 1.0 minutes mean border=48.6, 69 (47) missing vertices, mean dist 1.5 [0.8 (%0.0)->1.9 (%100.0))] %17 local maxima, %61 large gradients and %18 min vals, 159 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=13208478.0, rms=23.664 011: dt: 0.0500, sse=12572005.0, rms=23.060 (2.555%) 012: dt: 0.0500, sse=11980550.0, rms=22.483 (2.500%) 013: dt: 0.0500, sse=11428705.0, rms=21.932 (2.453%) 014: dt: 0.0500, sse=10912885.0, rms=21.403 (2.410%) 015: dt: 0.0500, sse=10429826.0, rms=20.896 (2.369%) 016: dt: 0.0500, sse=9976837.0, rms=20.409 (2.331%) 017: dt: 0.0500, sse=9551755.0, rms=19.941 (2.293%) 018: dt: 0.0500, sse=9152464.0, rms=19.491 (2.256%) 019: dt: 0.0500, sse=8777494.0, rms=19.059 (2.217%) 020: dt: 0.0500, sse=8425595.0, rms=18.645 (2.176%) positioning took 1.0 minutes mean border=48.4, 68 (28) missing vertices, mean dist 1.2 [0.1 (%0.8)->1.5 (%99.2))] %17 local maxima, %61 large gradients and %17 min vals, 160 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=8505760.0, rms=18.745 021: dt: 0.0500, sse=8164648.0, rms=18.336 (2.181%) 022: dt: 0.0500, sse=7844618.5, rms=17.944 (2.138%) 023: dt: 0.0500, sse=7541893.5, rms=17.565 (2.112%) 024: dt: 0.0500, sse=7258900.5, rms=17.203 (2.061%) 025: dt: 0.0500, sse=6994447.0, rms=16.858 (2.008%) 026: dt: 0.0500, sse=6746751.5, rms=16.528 (1.958%) 027: dt: 0.0500, sse=6511995.0, rms=16.209 (1.931%) 028: dt: 0.0500, sse=6286700.5, rms=15.896 (1.927%) 029: dt: 0.0500, sse=6071152.5, rms=15.591 (1.918%) 030: dt: 0.0500, sse=5865341.5, rms=15.294 (1.904%) positioning took 1.0 minutes mean border=48.3, 80 (22) missing vertices, mean dist 1.0 [0.1 (%10.8)->1.3 (%89.2))] %17 local maxima, %61 large gradients and %17 min vals, 136 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=5954189.5, rms=15.422 031: dt: 0.5000, sse=4521521.0, rms=13.196 (14.433%) 032: dt: 0.5000, sse=3542625.8, rms=11.420 (13.462%) 033: dt: 0.5000, sse=2808675.5, rms=9.888 (13.415%) 034: dt: 0.5000, sse=2277888.2, rms=8.598 (13.041%) 035: dt: 0.5000, sse=1904951.0, rms=7.569 (11.974%) 036: dt: 0.5000, sse=1655511.2, rms=6.783 (10.376%) 037: dt: 0.5000, sse=1494738.9, rms=6.233 (8.118%) 038: dt: 0.5000, sse=1387049.6, rms=5.827 (6.512%) 039: dt: 0.5000, sse=1319126.4, rms=5.563 (4.533%) 040: dt: 0.5000, sse=1274663.8, rms=5.374 (3.392%) 041: dt: 0.5000, sse=1245820.9, rms=5.256 (2.190%) 042: dt: 0.5000, sse=1229368.5, rms=5.179 (1.479%) 043: dt: 0.5000, sse=1216277.4, rms=5.126 (1.016%) rms = 5.08, time step reduction 1 of 3 to 0.250... 044: dt: 0.5000, sse=1207769.5, rms=5.082 (0.856%) 045: dt: 0.2500, sse=1073255.8, rms=4.398 (13.460%) 046: dt: 0.2500, sse=1039825.1, rms=4.221 (4.024%) rms = 4.20, time step reduction 2 of 3 to 0.125... 047: dt: 0.2500, sse=1036777.1, rms=4.200 (0.502%) 048: dt: 0.1250, sse=1017602.7, rms=4.091 (2.590%) rms = 4.08, time step reduction 3 of 3 to 0.062... 049: dt: 0.1250, sse=1014898.4, rms=4.076 (0.373%) positioning took 2.4 minutes mean border=46.6, 950 (12) missing vertices, mean dist 0.2 [0.2 (%45.4)->0.5 (%54.6))] %34 local maxima, %46 large gradients and %15 min vals, 69 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=1303798.8, rms=4.779 050: dt: 0.5000, sse=1192895.2, rms=4.228 (11.521%) rms = 4.31, time step reduction 1 of 3 to 0.250... 051: dt: 0.2500, sse=1078247.6, rms=3.546 (16.147%) 052: dt: 0.2500, sse=1037415.6, rms=3.276 (7.611%) 053: dt: 0.2500, sse=1022502.6, rms=3.174 (3.117%) 054: dt: 0.2500, sse=1014444.0, rms=3.120 (1.680%) rms = 3.09, time step reduction 2 of 3 to 0.125... 055: dt: 0.2500, sse=1009880.6, rms=3.091 (0.952%) 056: dt: 0.1250, sse=991444.2, rms=2.947 (4.639%) rms = 2.92, time step reduction 3 of 3 to 0.062... 057: dt: 0.1250, sse=987662.3, rms=2.921 (0.908%) positioning took 1.1 minutes mean border=45.1, 1139 (9) missing vertices, mean dist 0.1 [0.1 (%45.1)->0.4 (%54.9))] %51 local maxima, %30 large gradients and %14 min vals, 71 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=1107412.5, rms=3.680 rms = 3.95, time step reduction 1 of 3 to 0.250... 058: dt: 0.2500, sse=1038209.5, rms=3.225 (12.356%) 059: dt: 0.2500, sse=1007247.4, rms=3.000 (6.970%) 060: dt: 0.2500, sse=997726.4, rms=2.941 (1.978%) rms = 2.92, time step reduction 2 of 3 to 0.125... 061: dt: 0.2500, sse=994015.6, rms=2.919 (0.743%) 062: dt: 0.1250, sse=981049.4, rms=2.812 (3.666%) rms = 2.79, time step reduction 3 of 3 to 0.062... 063: dt: 0.1250, sse=977595.4, rms=2.787 (0.893%) positioning took 0.9 minutes mean border=44.2, 2008 (9) missing vertices, mean dist 0.1 [0.2 (%47.6)->0.3 (%52.4))] %57 local maxima, %24 large gradients and %13 min vals, 76 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/stable6/039/surf/rh.pial... writing smoothed curvature to rh.curv.pial 000: dt: 0.0000, sse=1012010.4, rms=3.034 rms = 3.53, time step reduction 1 of 3 to 0.250... 064: dt: 0.2500, sse=983588.2, rms=2.809 (7.415%) 065: dt: 0.2500, sse=973266.4, rms=2.732 (2.727%) rms = 2.72, time step reduction 2 of 3 to 0.125... 066: dt: 0.2500, sse=970621.8, rms=2.721 (0.414%) 067: dt: 0.1250, sse=958534.1, rms=2.617 (3.825%) rms = 2.59, time step reduction 3 of 3 to 0.062... 068: dt: 0.1250, sse=955254.4, rms=2.593 (0.927%) positioning took 0.7 minutes writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.curv.pial writing smoothed area to rh.area.pial writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.area.pial vertex spacing 1.02 +- 0.43 (0.09-->7.86) (max @ vno 83014 --> 82090) face area 0.42 +- 0.32 (0.00-->7.83) measuring cortical thickness... writing cortical thickness estimate to 'thickness' file. 0 of 118521 vertices processed 25000 of 118521 vertices processed 50000 of 118521 vertices processed 75000 of 118521 vertices processed 100000 of 118521 vertices processed 0 of 118521 vertices processed 25000 of 118521 vertices processed 50000 of 118521 vertices processed 75000 of 118521 vertices processed 100000 of 118521 vertices processed thickness calculation complete, 124:504 truncations. 34380 vertices at 0 distance 94596 vertices at 1 distance 67022 vertices at 2 distance 21724 vertices at 3 distance 5520 vertices at 4 distance 1543 vertices at 5 distance 436 vertices at 6 distance 198 vertices at 7 distance 78 vertices at 8 distance 19 vertices at 9 distance 23 vertices at 10 distance 10 vertices at 11 distance 10 vertices at 12 distance 10 vertices at 13 distance 11 vertices at 14 distance 7 vertices at 15 distance 6 vertices at 16 distance 5 vertices at 17 distance 3 vertices at 18 distance 3 vertices at 19 distance 0 vertices at 20 distance writing curvature file /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.thickness positioning took 15.6 minutes @#@FSTIME 2017:01:19:16:23:09 mris_make_surfaces N 11 e 934.48 S 5.82 U 925.52 P 99% M 489712 F 0 R 1508330 W 0 c 3360 w 655 I 0 O 30864 L 7.01 7.02 6.97 @#@FSLOADPOST 2017:01:19:16:38:44 mris_make_surfaces N 11 7.00 7.00 6.98 #-------------------------------------------- #@# Surf Volume lh Thu Jan 19 16:38:44 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 lh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.volume masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.cortex.label Total face volume 201069 Total vertex volume 197651 (mask=0) #@# 039 lh 197651 vertexvol Done @#@FSTIME 2017:01:19:16:38:44 vertexvol N 4 e 5.81 S 0.33 U 4.52 P 83% M 306780 F 12 R 44845 W 0 c 221 w 288 I 10136 O 2784 L 7.00 7.00 6.98 @#@FSLOADPOST 2017:01:19:16:38:50 vertexvol N 4 7.00 7.00 6.98 #-------------------------------------------- #@# Surf Volume rh Thu Jan 19 16:38:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 rh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.volume masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.cortex.label Total face volume 201966 Total vertex volume 198768 (mask=0) #@# 039 rh 198768 vertexvol Done @#@FSTIME 2017:01:19:16:38:50 vertexvol N 4 e 4.56 S 0.24 U 3.51 P 82% M 307568 F 0 R 45058 W 0 c 77 w 258 I 0 O 2784 L 7.00 7.00 6.98 @#@FSLOADPOST 2017:01:19:16:38:55 vertexvol N 4 7.00 7.00 6.98 #-------------------------------------------- #@# Cortical ribbon mask Thu Jan 19 16:38:55 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 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 = 193 writing volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/ribbon.mgz mris_volmask took 17.10 minutes writing ribbon files @#@FSTIME 2017:01:19:16:38:55 mris_volmask N 12 e 1026.19 S 1.28 U 1021.58 P 99% M 909740 F 0 R 256668 W 0 c 4355 w 104 I 0 O 792 L 7.00 7.00 6.98 @#@FSLOADPOST 2017:01:19:16:56:01 mris_volmask N 12 7.00 7.02 7.00 #----------------------------------------- #@# Parcellation Stats lh Thu Jan 19 16:56:01 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 lh white computing statistics for each annotation in ../label/lh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201069 Total vertex volume 197651 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 1097 771 1647 2.161 0.395 0.102 0.019 7 0.8 bankssts 747 504 1358 2.494 0.595 0.127 0.018 12 0.5 caudalanteriorcingulate 3324 2286 5969 2.420 0.442 0.112 0.020 28 2.7 caudalmiddlefrontal 2203 1484 3145 1.902 0.430 0.151 0.039 36 3.3 cuneus 583 423 1769 3.284 0.623 0.139 0.032 6 0.9 entorhinal 3238 2300 6384 2.443 0.676 0.143 0.036 48 4.7 fusiform 5345 3766 9000 2.169 0.485 0.132 0.032 70 7.2 inferiorparietal 3550 2584 8328 2.479 0.736 0.147 0.041 65 6.2 inferiortemporal 1582 1061 2235 1.951 0.625 0.128 0.035 23 2.1 isthmuscingulate 6783 4646 10557 2.038 0.511 0.148 0.039 98 10.8 lateraloccipital 3163 2241 6398 2.606 0.615 0.149 0.039 49 4.8 lateralorbitofrontal 4259 3074 6443 1.968 0.533 0.153 0.036 74 6.7 lingual 2629 1856 4762 2.339 0.610 0.134 0.037 40 3.8 medialorbitofrontal 4028 2827 8676 2.521 0.577 0.137 0.032 60 5.4 middletemporal 833 618 2162 2.972 0.569 0.132 0.031 11 0.9 parahippocampal 1913 1305 3307 2.371 0.438 0.119 0.025 16 1.9 paracentral 1670 1121 2875 2.394 0.415 0.107 0.020 14 1.3 parsopercularis 904 637 1930 2.491 0.498 0.153 0.038 13 1.4 parsorbitalis 1420 993 2750 2.384 0.471 0.128 0.029 16 1.7 parstriangularis 2294 1573 2464 1.702 0.351 0.137 0.040 29 3.6 pericalcarine 5269 3404 7547 2.012 0.528 0.100 0.021 43 4.1 postcentral 1224 831 2065 2.329 0.535 0.130 0.023 19 1.1 posteriorcingulate 7948 5091 13347 2.441 0.526 0.106 0.022 63 7.1 precentral 4985 3584 8134 2.152 0.539 0.135 0.030 58 6.5 precuneus 973 670 2205 2.977 0.783 0.133 0.031 18 1.2 rostralanteriorcingulate 7463 5212 12925 2.202 0.511 0.133 0.030 100 9.0 rostralmiddlefrontal 9102 6276 18994 2.693 0.539 0.125 0.029 95 10.7 superiorfrontal 7819 5239 11074 1.977 0.444 0.120 0.026 90 7.9 superiorparietal 5069 3497 10014 2.561 0.520 0.116 0.023 49 4.7 superiortemporal 4964 3343 8983 2.422 0.444 0.131 0.028 65 5.5 supramarginal 342 224 753 2.540 0.407 0.153 0.051 7 0.6 frontalpole 624 465 2469 3.770 0.772 0.150 0.046 8 1.2 temporalpole 615 391 960 2.362 0.376 0.129 0.023 6 0.6 transversetemporal 3061 2104 5990 2.767 0.835 0.121 0.036 43 4.4 insula @#@FSTIME 2017:01:19:16:56:01 mris_anatomical_stats N 14 e 53.66 S 0.35 U 51.04 P 95% M 474604 F 0 R 66214 W 0 c 239 w 323 I 0 O 296 L 7.00 7.02 7.00 @#@FSLOADPOST 2017:01:19:16:56:55 mris_anatomical_stats N 14 7.00 7.01 7.00 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 039 lh pial computing statistics for each annotation in ../label/lh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201069 Total vertex volume 197651 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 1097 743 1647 2.161 0.395 0.112 0.025 10 1.3 bankssts 747 604 1358 2.494 0.595 0.157 0.035 39 1.0 caudalanteriorcingulate 3324 2672 5969 2.420 0.442 0.120 0.022 34 3.1 caudalmiddlefrontal 2203 1901 3145 1.902 0.430 0.148 0.033 30 3.1 cuneus 583 677 1769 3.284 0.623 0.203 0.047 11 1.3 entorhinal 3238 2884 6384 2.443 0.676 0.174 0.042 56 6.4 fusiform 5345 4489 9000 2.169 0.485 0.145 0.033 67 7.3 inferiorparietal 3550 3837 8328 2.479 0.736 0.197 0.045 56 7.8 inferiortemporal 1582 1218 2235 1.951 0.625 0.153 0.044 28 2.9 isthmuscingulate 6783 5797 10557 2.038 0.511 0.169 0.049 3581 12.5 lateraloccipital 3163 2649 6398 2.606 0.615 0.163 0.043 53 6.1 lateralorbitofrontal 4259 3707 6443 1.968 0.533 0.162 0.038 62 7.6 lingual 2629 2283 4762 2.339 0.610 0.165 0.042 79 4.9 medialorbitofrontal 4028 3949 8676 2.521 0.577 0.167 0.037 52 6.8 middletemporal 833 875 2162 2.972 0.569 0.183 0.045 11 1.5 parahippocampal 1913 1497 3307 2.371 0.438 0.134 0.031 23 2.9 paracentral 1670 1244 2875 2.394 0.415 0.131 0.028 19 2.0 parsopercularis 904 902 1930 2.491 0.498 0.174 0.036 12 1.4 parsorbitalis 1420 1270 2750 2.384 0.471 0.156 0.030 18 1.9 parstriangularis 2294 1412 2464 1.702 0.351 0.126 0.036 31 3.3 pericalcarine 5269 4149 7547 2.012 0.528 0.112 0.020 36 4.4 postcentral 1224 967 2065 2.329 0.535 0.148 0.035 32 2.0 posteriorcingulate 7948 5789 13347 2.441 0.526 0.104 0.021 86 6.9 precentral 4985 3912 8134 2.152 0.539 0.137 0.032 67 7.2 precuneus 973 852 2205 2.977 0.783 0.155 0.035 34 1.7 rostralanteriorcingulate 7463 6355 12925 2.202 0.511 0.152 0.030 90 10.3 rostralmiddlefrontal 9102 7672 18994 2.693 0.539 0.142 0.035 213 14.2 superiorfrontal 7819 5929 11074 1.977 0.444 0.126 0.025 88 8.1 superiorparietal 5069 4199 10014 2.561 0.520 0.139 0.031 60 6.7 superiortemporal 4964 3970 8983 2.422 0.444 0.136 0.028 54 5.9 supramarginal 342 358 753 2.540 0.407 0.183 0.032 4 0.5 frontalpole 624 848 2469 3.770 0.772 0.205 0.038 8 1.2 temporalpole 615 439 960 2.362 0.376 0.129 0.030 7 0.8 transversetemporal 3061 2076 5990 2.767 0.835 0.149 0.062 488 10.3 insula @#@FSTIME 2017:01:19:16:56:55 mris_anatomical_stats N 14 e 54.51 S 0.37 U 51.83 P 95% M 474600 F 0 R 65703 W 0 c 267 w 330 I 0 O 296 L 7.00 7.01 7.00 @#@FSLOADPOST 2017:01:19:16:57:50 mris_anatomical_stats N 14 7.00 7.01 7.00 #----------------------------------------- #@# Parcellation Stats rh Thu Jan 19 16:57:50 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 rh white computing statistics for each annotation in ../label/rh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201966 Total vertex volume 198768 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 976 706 1638 2.236 0.519 0.116 0.019 8 0.9 bankssts 1002 714 1876 2.333 0.669 0.132 0.028 16 1.0 caudalanteriorcingulate 3002 2066 5459 2.397 0.452 0.126 0.027 30 3.3 caudalmiddlefrontal 2747 1803 3891 1.920 0.447 0.146 0.040 46 4.2 cuneus 544 400 1872 2.887 0.848 0.161 0.056 9 1.5 entorhinal 3256 2275 5822 2.294 0.559 0.141 0.038 46 4.8 fusiform 6725 4661 11638 2.183 0.490 0.135 0.031 89 8.4 inferiorparietal 3606 2695 8091 2.485 0.721 0.145 0.033 53 5.3 inferiortemporal 1546 1015 2298 2.051 0.747 0.127 0.033 23 1.9 isthmuscingulate 6754 4639 10887 2.061 0.559 0.153 0.041 106 10.8 lateraloccipital 3504 2404 6593 2.548 0.561 0.137 0.041 43 5.5 lateralorbitofrontal 4563 3209 6858 1.986 0.512 0.148 0.042 67 8.1 lingual 2461 1772 4666 2.316 0.848 0.142 0.034 45 3.0 medialorbitofrontal 4161 3032 9474 2.599 0.581 0.128 0.029 55 4.5 middletemporal 1124 816 2772 2.721 0.665 0.144 0.036 18 1.5 parahippocampal 2280 1519 3905 2.361 0.511 0.115 0.026 18 2.4 paracentral 1607 1099 2871 2.405 0.412 0.105 0.021 13 1.3 parsopercularis 1049 724 2259 2.616 0.457 0.144 0.036 14 1.4 parsorbitalis 1846 1273 3280 2.334 0.469 0.117 0.023 19 1.6 parstriangularis 2211 1535 2576 1.755 0.348 0.134 0.039 25 3.2 pericalcarine 5194 3407 7067 1.904 0.505 0.104 0.021 44 4.4 postcentral 1698 1136 2935 2.226 0.792 0.129 0.026 25 1.8 posteriorcingulate 7736 5003 12810 2.373 0.475 0.107 0.021 59 6.6 precentral 4916 3357 8872 2.351 0.590 0.125 0.029 54 5.9 precuneus 807 589 1799 2.691 0.618 0.156 0.036 18 1.2 rostralanteriorcingulate 6795 4780 11808 2.183 0.512 0.146 0.037 107 9.9 rostralmiddlefrontal 8824 6181 17734 2.584 0.537 0.132 0.032 107 11.2 superiorfrontal 6782 4520 10417 2.146 0.505 0.124 0.027 70 7.5 superiorparietal 4897 3296 9143 2.475 0.596 0.104 0.018 42 3.7 superiortemporal 4329 2967 7548 2.360 0.451 0.126 0.026 52 4.5 supramarginal 403 281 1051 2.563 0.602 0.170 0.039 8 0.7 frontalpole 491 394 2052 3.330 0.956 0.143 0.033 6 0.6 temporalpole 450 262 703 2.338 0.321 0.116 0.022 4 0.4 transversetemporal 3053 2051 6096 2.909 0.853 0.123 0.033 37 3.9 insula @#@FSTIME 2017:01:19:16:57:50 mris_anatomical_stats N 14 e 50.86 S 0.40 U 48.65 P 96% M 475756 F 0 R 65858 W 0 c 212 w 331 I 0 O 296 L 7.00 7.01 7.00 @#@FSLOADPOST 2017:01:19:16:58:41 mris_anatomical_stats N 14 7.00 7.00 7.00 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 039 rh pial computing statistics for each annotation in ../label/rh.aparc.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201966 Total vertex volume 198768 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 976 699 1638 2.236 0.519 0.129 0.031 13 1.3 bankssts 1002 870 1876 2.333 0.669 0.164 0.038 24 1.5 caudalanteriorcingulate 3002 2410 5459 2.397 0.452 0.135 0.027 33 3.4 caudalmiddlefrontal 2747 2269 3891 1.920 0.447 0.143 0.033 34 3.9 cuneus 544 879 1872 2.887 0.848 0.249 0.051 6 1.5 entorhinal 3256 2706 5822 2.294 0.559 0.161 0.048 52 7.4 fusiform 6725 5767 11638 2.183 0.490 0.151 0.032 77 9.6 inferiorparietal 3606 3808 8091 2.485 0.721 0.182 0.040 61 6.6 inferiortemporal 1546 1193 2298 2.051 0.747 0.155 0.084 58 3.1 isthmuscingulate 6754 5735 10887 2.061 0.559 0.163 0.040 102 12.7 lateraloccipital 3504 2810 6593 2.548 0.561 0.163 0.046 55 7.3 lateralorbitofrontal 4563 3845 6858 1.986 0.512 0.162 0.042 64 8.7 lingual 2461 2327 4666 2.316 0.848 0.177 0.045 56 4.3 medialorbitofrontal 4161 4203 9474 2.599 0.581 0.161 0.033 54 6.1 middletemporal 1124 1172 2772 2.721 0.665 0.188 0.050 17 2.6 parahippocampal 2280 1826 3905 2.361 0.511 0.137 0.032 27 3.5 paracentral 1607 1267 2871 2.405 0.412 0.124 0.022 15 1.6 parsopercularis 1049 1027 2259 2.616 0.457 0.164 0.035 13 1.6 parsorbitalis 1846 1507 3280 2.334 0.469 0.140 0.028 24 2.2 parstriangularis 2211 1469 2576 1.755 0.348 0.127 0.033 30 2.8 pericalcarine 5194 4060 7067 1.904 0.505 0.114 0.019 44 4.5 postcentral 1698 1381 2935 2.226 0.792 0.142 0.036 24 2.6 posteriorcingulate 7736 5724 12810 2.373 0.475 0.106 0.019 69 6.2 precentral 4916 3979 8872 2.351 0.590 0.140 0.032 64 7.1 precuneus 807 823 1799 2.691 0.618 0.209 0.045 89 1.7 rostralanteriorcingulate 6795 5959 11808 2.183 0.512 0.162 0.035 99 10.8 rostralmiddlefrontal 8824 7367 17734 2.584 0.537 0.144 0.032 120 12.3 superiorfrontal 6782 5162 10417 2.146 0.505 0.132 0.029 89 8.5 superiorparietal 4897 4031 9143 2.475 0.596 0.127 0.026 47 5.7 superiortemporal 4329 3332 7548 2.360 0.451 0.130 0.030 44 5.3 supramarginal 403 510 1051 2.563 0.602 0.210 0.049 4 0.8 frontalpole 491 781 2052 3.330 0.956 0.239 0.042 6 1.1 temporalpole 450 334 703 2.338 0.321 0.102 0.018 2 0.3 transversetemporal 3053 2060 6096 2.909 0.853 0.151 0.047 57 6.5 insula @#@FSTIME 2017:01:19:16:58:41 mris_anatomical_stats N 14 e 54.65 S 0.31 U 52.51 P 96% M 475760 F 0 R 65860 W 0 c 228 w 328 I 0 O 296 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:16:59:35 mris_anatomical_stats N 14 7.00 7.00 7.00 #----------------------------------------- #@# Cortical Parc 2 lh Thu Jan 19 16:59:35 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 039 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... 63 labels changed using aseg relabeling using gibbs priors... 000: 7770 changed, 118335 examined... 001: 1804 changed, 30367 examined... 002: 498 changed, 9514 examined... 003: 211 changed, 2885 examined... 004: 110 changed, 1231 examined... 005: 44 changed, 608 examined... 006: 15 changed, 238 examined... 007: 7 changed, 84 examined... 008: 5 changed, 43 examined... 009: 4 changed, 25 examined... 010: 2 changed, 22 examined... 011: 0 changed, 15 examined... 12 labels changed using aseg 000: 226 total segments, 142 labels (1217 vertices) changed 001: 89 total segments, 5 labels (32 vertices) changed 002: 84 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 30 changed) rationalizing unknown annotations with cortex label relabeling Medial_wall label... 1185 vertices marked for relabeling... 1185 labels changed in reclassification. writing output to ../label/lh.aparc.a2009s.annot... classification took 0 minutes and 19 seconds. @#@FSTIME 2017:01:19:16:59:36 mris_ca_label N 11 e 19.29 S 0.36 U 18.40 P 97% M 555772 F 0 R 85680 W 0 c 1418 w 107 I 42432 O 1856 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:16:59:55 mris_ca_label N 11 7.00 7.00 7.00 #----------------------------------------- #@# Cortical Parc 2 rh Thu Jan 19 16:59:55 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 039 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... 27 labels changed using aseg relabeling using gibbs priors... 000: 7908 changed, 118521 examined... 001: 1816 changed, 30953 examined... 002: 545 changed, 9511 examined... 003: 204 changed, 3129 examined... 004: 86 changed, 1177 examined... 005: 65 changed, 535 examined... 006: 28 changed, 326 examined... 007: 12 changed, 154 examined... 008: 7 changed, 77 examined... 009: 1 changed, 36 examined... 010: 0 changed, 7 examined... 5 labels changed using aseg 000: 232 total segments, 148 labels (1924 vertices) changed 001: 92 total segments, 8 labels (14 vertices) changed 002: 84 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 39 changed) rationalizing unknown annotations with cortex label relabeling Medial_wall label... 1091 vertices marked for relabeling... 1091 labels changed in reclassification. writing output to ../label/rh.aparc.a2009s.annot... classification took 0 minutes and 24 seconds. @#@FSTIME 2017:01:19:16:59:55 mris_ca_label N 11 e 23.55 S 0.47 U 22.39 P 97% M 568036 F 0 R 86607 W 0 c 836 w 82 I 42776 O 1864 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:00:19 mris_ca_label N 11 7.00 7.00 7.00 #----------------------------------------- #@# Parcellation Stats 2 lh Thu Jan 19 17:00:19 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 lh white computing statistics for each annotation in ../label/lh.aparc.a2009s.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201069 Total vertex volume 197651 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 1107 808 1996 2.262 0.546 0.142 0.032 15 1.7 G&S_frontomargin 1573 1112 2648 2.109 0.534 0.160 0.041 25 3.0 G&S_occipital_inf 1477 942 2622 2.296 0.538 0.114 0.030 13 1.7 G&S_paracentral 1393 920 2626 2.505 0.481 0.121 0.029 15 1.5 G&S_subcentral 650 452 1505 2.512 0.431 0.174 0.051 16 1.3 G&S_transv_frontopol 1875 1330 3675 2.703 0.628 0.124 0.027 20 2.0 G&S_cingul-Ant 987 715 1848 2.547 0.465 0.112 0.018 8 0.7 G&S_cingul-Mid-Ant 1030 731 1839 2.587 0.473 0.119 0.022 10 0.9 G&S_cingul-Mid-Post 460 322 1044 2.398 0.497 0.149 0.041 7 0.6 G_cingul-Post-dorsal 407 267 655 2.150 0.598 0.157 0.048 8 0.9 G_cingul-Post-ventral 2252 1500 3240 1.862 0.440 0.158 0.044 42 3.8 G_cuneus 965 630 2071 2.534 0.366 0.122 0.026 12 1.0 G_front_inf-Opercular 516 332 1147 2.650 0.484 0.153 0.039 9 0.8 G_front_inf-Orbital 767 532 1811 2.566 0.404 0.134 0.035 11 1.0 G_front_inf-Triangul 4174 2839 8116 2.342 0.463 0.132 0.029 59 4.9 G_front_middle 6169 4158 14533 2.784 0.559 0.137 0.034 85 8.4 G_front_sup 534 369 1180 2.807 0.760 0.127 0.045 12 0.9 G_Ins_lg&S_cent_ins 563 365 1768 3.391 0.900 0.133 0.044 10 1.0 G_insular_short 2024 1360 3931 2.227 0.536 0.154 0.045 41 3.6 G_occipital_middle 1614 1101 2332 1.946 0.377 0.153 0.044 26 2.5 G_occipital_sup 1127 789 2562 2.645 0.653 0.154 0.046 22 2.1 G_oc-temp_lat-fusifor 2820 2011 4674 1.981 0.523 0.167 0.042 62 5.1 G_oc-temp_med-Lingual 1197 860 3610 3.203 0.574 0.140 0.033 16 1.6 G_oc-temp_med-Parahip 1960 1417 4828 2.625 0.637 0.163 0.048 39 3.5 G_orbital 1944 1332 4016 2.403 0.463 0.140 0.036 33 2.7 G_pariet_inf-Angular 2436 1636 5134 2.546 0.446 0.146 0.034 43 3.2 G_pariet_inf-Supramar 2907 1901 4853 2.117 0.438 0.117 0.026 42 2.9 G_parietal_sup 2041 1240 3213 2.089 0.484 0.101 0.020 19 1.5 G_postcentral 2985 1773 5932 2.686 0.442 0.106 0.023 27 2.7 G_precentral 2235 1532 4682 2.384 0.514 0.142 0.036 37 3.0 G_precuneus 921 664 2157 2.457 0.613 0.133 0.038 13 1.2 G_rectus 777 525 1219 2.498 0.969 0.121 0.058 19 1.4 G_subcallosal 464 279 756 2.303 0.440 0.102 0.022 4 0.3 G_temp_sup-G_T_transv 1786 1207 4583 2.690 0.563 0.139 0.031 28 2.1 G_temp_sup-Lateral 620 437 1594 3.204 0.719 0.085 0.017 3 0.4 G_temp_sup-Plan_polar 835 586 1649 2.571 0.393 0.133 0.029 9 1.0 G_temp_sup-Plan_tempo 2011 1495 5775 2.702 0.725 0.165 0.050 49 4.3 G_temporal_inf 2297 1597 5737 2.637 0.575 0.143 0.038 43 3.5 G_temporal_middle 163 126 220 1.949 0.251 0.114 0.013 1 0.1 Lat_Fis-ant-Horizont 166 130 282 2.390 0.481 0.119 0.017 1 0.1 Lat_Fis-ant-Vertical 1071 704 1309 2.241 0.353 0.114 0.025 8 1.1 Lat_Fis-post 1633 1135 3046 2.147 0.639 0.157 0.040 26 2.7 Pole_occipital 1341 997 4242 3.104 0.852 0.156 0.045 20 2.3 Pole_temporal 2771 2165 3317 1.749 0.467 0.136 0.033 26 4.2 S_calcarine 3239 2171 3664 1.882 0.523 0.100 0.020 19 2.7 S_central 912 638 1240 2.166 0.463 0.104 0.014 5 0.6 S_cingul-Marginalis 428 309 770 2.785 0.454 0.105 0.018 2 0.4 S_circular_insula_ant 1325 941 2160 2.664 0.653 0.094 0.021 7 1.4 S_circular_insula_inf 1335 945 1881 2.403 0.498 0.107 0.019 7 1.1 S_circular_insula_sup 878 622 1486 2.320 0.596 0.117 0.022 9 0.9 S_collat_transv_ant 527 346 533 1.803 0.359 0.151 0.043 5 1.0 S_collat_transv_post 1882 1293 2634 2.141 0.412 0.112 0.020 14 1.5 S_front_inf 1369 966 2048 2.059 0.516 0.125 0.029 16 1.4 S_front_middle 3121 2203 5042 2.328 0.450 0.111 0.022 23 2.9 S_front_sup 270 196 409 2.489 0.355 0.136 0.024 2 0.4 S_interm_prim-Jensen 2978 2057 3466 1.910 0.410 0.111 0.020 21 2.5 S_intrapariet&P_trans 1014 699 1124 1.814 0.377 0.128 0.030 8 1.3 S_oc_middle&Lunatus 1287 898 1520 1.879 0.349 0.134 0.034 11 1.9 S_oc_sup&transversal 558 384 646 1.986 0.341 0.131 0.031 6 0.7 S_occipital_ant 475 347 881 2.321 0.603 0.101 0.018 2 0.4 S_oc-temp_lat 1698 1197 2463 2.204 0.561 0.136 0.027 18 1.9 S_oc-temp_med&Lingual 255 179 340 1.923 0.413 0.094 0.012 1 0.1 S_orbital_lateral 554 387 758 2.208 0.603 0.133 0.026 7 0.7 S_orbital_med-olfact 1362 951 2482 2.590 0.582 0.140 0.036 16 1.9 S_orbital-H_Shaped 2198 1484 2491 1.794 0.424 0.102 0.020 15 1.8 S_parieto_occipital 1240 736 1019 1.916 0.780 0.126 0.026 25 1.2 S_pericallosal 2620 1751 3374 2.040 0.363 0.107 0.020 21 2.1 S_postcentral 1622 1118 2358 2.298 0.394 0.105 0.018 10 1.1 S_precentral-inf-part 1376 964 2067 2.488 0.426 0.090 0.013 6 0.8 S_precentral-sup-part 545 391 814 2.362 0.503 0.149 0.025 9 0.6 S_suborbital 795 570 1059 2.041 0.442 0.136 0.025 7 1.0 S_subparietal 1212 844 1502 2.057 0.492 0.126 0.032 12 1.6 S_temporal_inf 4678 3309 7026 2.215 0.437 0.113 0.021 38 4.2 S_temporal_sup 265 204 413 2.317 0.274 0.125 0.015 2 0.2 S_temporal_transverse @#@FSTIME 2017:01:19:17:00:19 mris_anatomical_stats N 14 e 51.57 S 0.44 U 48.19 P 94% M 474600 F 0 R 65775 W 0 c 290 w 441 I 0 O 632 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:01:10 mris_anatomical_stats N 14 7.00 7.00 7.00 #----------------------------------------- #@# Parcellation Stats 2 rh Thu Jan 19 17:01:10 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 rh white computing statistics for each annotation in ../label/rh.aparc.a2009s.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201966 Total vertex volume 198768 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 847 567 1548 2.365 0.542 0.146 0.034 13 1.2 G&S_frontomargin 994 700 2254 2.413 0.775 0.150 0.045 14 1.7 G&S_occipital_inf 1502 977 2710 2.307 0.552 0.123 0.030 15 1.8 G&S_paracentral 1243 857 2172 2.302 0.467 0.124 0.026 14 1.1 G&S_subcentral 966 714 2115 2.327 0.495 0.180 0.047 24 1.8 G&S_transv_frontopol 2393 1750 4398 2.429 0.557 0.128 0.029 31 2.6 G&S_cingul-Ant 1169 840 2189 2.475 0.570 0.130 0.025 13 1.2 G&S_cingul-Mid-Ant 1302 916 2549 2.576 0.554 0.123 0.028 13 1.4 G&S_cingul-Mid-Post 497 337 1252 2.676 0.547 0.161 0.047 12 1.0 G_cingul-Post-dorsal 384 258 876 2.578 0.645 0.146 0.026 6 0.4 G_cingul-Post-ventral 2521 1644 3510 1.859 0.434 0.148 0.042 45 3.8 G_cuneus 1121 725 2495 2.604 0.355 0.120 0.028 14 1.2 G_front_inf-Opercular 321 207 670 2.558 0.426 0.124 0.028 4 0.3 G_front_inf-Orbital 763 520 1753 2.575 0.415 0.138 0.030 12 0.9 G_front_inf-Triangul 3366 2341 6894 2.320 0.523 0.152 0.038 62 5.3 G_front_middle 6375 4298 14505 2.730 0.512 0.143 0.038 99 9.5 G_front_sup 585 380 1326 3.304 0.679 0.131 0.036 9 0.7 G_Ins_lg&S_cent_ins 613 407 1877 3.401 0.775 0.139 0.038 10 0.8 G_insular_short 1974 1392 4100 2.258 0.552 0.162 0.043 39 3.8 G_occipital_middle 1499 1001 2558 2.075 0.470 0.143 0.036 21 2.2 G_occipital_sup 1244 864 2752 2.442 0.504 0.158 0.043 23 2.1 G_oc-temp_lat-fusifor 2837 1950 4933 2.125 0.530 0.160 0.047 51 5.7 G_oc-temp_med-Lingual 1280 918 4007 2.965 0.721 0.147 0.043 22 2.2 G_oc-temp_med-Parahip 2503 1763 6018 2.708 0.595 0.146 0.044 37 4.1 G_orbital 2546 1730 4891 2.283 0.500 0.135 0.032 36 3.4 G_pariet_inf-Angular 2315 1563 4977 2.559 0.422 0.144 0.032 39 2.9 G_pariet_inf-Supramar 1999 1333 3727 2.346 0.431 0.123 0.026 22 2.1 G_parietal_sup 1818 1128 2743 1.969 0.473 0.114 0.025 21 1.9 G_postcentral 2904 1793 5636 2.521 0.461 0.105 0.022 25 2.6 G_precentral 1963 1353 4914 2.759 0.572 0.148 0.038 34 3.0 G_precuneus 539 443 1558 2.629 0.594 0.187 0.050 16 0.9 G_rectus 406 287 565 2.163 1.566 0.084 0.037 3 0.3 G_subcallosal 402 221 652 2.318 0.313 0.092 0.020 3 0.2 G_temp_sup-G_T_transv 1588 1028 3822 2.726 0.558 0.126 0.027 23 1.6 G_temp_sup-Lateral 746 516 1733 3.031 0.786 0.098 0.033 8 1.1 G_temp_sup-Plan_polar 821 586 1414 2.236 0.378 0.095 0.015 5 0.5 G_temp_sup-Plan_tempo 1950 1422 5070 2.660 0.734 0.153 0.039 34 3.3 G_temporal_inf 2487 1831 6682 2.704 0.549 0.146 0.037 48 3.5 G_temporal_middle 334 232 437 2.155 0.276 0.093 0.014 1 0.2 Lat_Fis-ant-Horizont 231 180 314 1.939 0.433 0.098 0.013 1 0.1 Lat_Fis-ant-Vertical 1280 882 1670 2.205 0.443 0.113 0.023 9 1.1 Lat_Fis-post 3311 2289 4753 1.858 0.481 0.162 0.045 60 5.8 Pole_occipital 1574 1201 4905 2.929 0.748 0.168 0.044 29 3.2 Pole_temporal 2686 1893 3162 1.843 0.441 0.125 0.032 24 3.5 S_calcarine 2826 1885 3042 1.838 0.461 0.095 0.018 13 2.1 S_central 1154 796 1691 2.248 0.549 0.104 0.017 6 0.9 S_cingul-Marginalis 461 315 668 2.622 0.637 0.115 0.023 3 0.5 S_circular_insula_ant 1135 763 1607 2.470 0.719 0.078 0.011 4 0.6 S_circular_insula_inf 1115 777 1630 2.411 0.493 0.102 0.019 5 1.0 S_circular_insula_sup 753 540 1323 2.537 0.650 0.119 0.021 6 0.7 S_collat_transv_ant 387 268 379 1.911 0.406 0.155 0.042 5 0.7 S_collat_transv_post 1640 1173 2504 2.168 0.459 0.122 0.025 15 1.6 S_front_inf 1722 1223 2700 2.069 0.483 0.140 0.035 23 2.3 S_front_middle 2550 1821 3820 2.268 0.394 0.118 0.024 20 2.8 S_front_sup 439 294 505 2.184 0.394 0.136 0.034 5 0.5 S_interm_prim-Jensen 2270 1514 2968 1.998 0.459 0.113 0.022 19 2.0 S_intrapariet&P_trans 961 675 1207 2.023 0.404 0.138 0.032 10 1.1 S_oc_middle&Lunatus 1578 1049 1735 1.886 0.348 0.123 0.028 12 1.8 S_oc_sup&transversal 695 497 924 1.921 0.376 0.146 0.031 9 1.0 S_occipital_ant 684 514 955 1.889 0.487 0.130 0.038 8 0.7 S_oc-temp_lat 1719 1228 2307 2.086 0.448 0.129 0.031 15 2.1 S_oc-temp_med&Lingual 272 185 341 1.955 0.322 0.101 0.016 1 0.2 S_orbital_lateral 513 356 764 2.230 0.628 0.116 0.020 4 0.4 S_orbital_med-olfact 1491 1009 2349 2.467 0.469 0.138 0.041 16 2.4 S_orbital-H_Shaped 2413 1602 3045 1.996 0.419 0.114 0.025 19 2.5 S_parieto_occipital 1618 1007 1160 1.558 0.633 0.118 0.023 27 1.2 S_pericallosal 2030 1370 2454 2.045 0.430 0.089 0.015 11 1.2 S_postcentral 1949 1325 2798 2.239 0.403 0.099 0.015 11 1.2 S_precentral-inf-part 1298 880 1888 2.295 0.422 0.116 0.021 11 1.1 S_precentral-sup-part 225 161 321 2.193 0.624 0.159 0.027 3 0.3 S_suborbital 882 614 1291 2.253 0.414 0.107 0.021 5 0.7 S_subparietal 1129 827 1432 2.031 0.474 0.111 0.016 7 0.9 S_temporal_inf 5047 3548 7647 2.216 0.478 0.112 0.021 41 4.1 S_temporal_sup 182 122 230 2.009 0.306 0.127 0.014 2 0.1 S_temporal_transverse @#@FSTIME 2017:01:19:17:01:11 mris_anatomical_stats N 14 e 52.08 S 0.34 U 49.91 P 96% M 475756 F 0 R 65931 W 0 c 174 w 453 I 0 O 632 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:02:03 mris_anatomical_stats N 14 7.06 7.01 7.00 #----------------------------------------- #@# Cortical Parc 3 lh Thu Jan 19 17:02:03 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_ca_label -l ../label/lh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 039 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... 899 labels changed using aseg relabeling using gibbs priors... 000: 1747 changed, 118335 examined... 001: 427 changed, 8288 examined... 002: 126 changed, 2403 examined... 003: 64 changed, 748 examined... 004: 37 changed, 353 examined... 005: 20 changed, 213 examined... 006: 13 changed, 126 examined... 007: 7 changed, 67 examined... 008: 3 changed, 44 examined... 009: 4 changed, 20 examined... 010: 1 changed, 25 examined... 011: 1 changed, 7 examined... 012: 1 changed, 7 examined... 013: 0 changed, 7 examined... 269 labels changed using aseg 000: 51 total segments, 18 labels (156 vertices) changed 001: 33 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 7 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 783 vertices marked for relabeling... 783 labels changed in reclassification. writing output to ../label/lh.aparc.DKTatlas.annot... classification took 0 minutes and 17 seconds. @#@FSTIME 2017:01:19:17:02:03 mris_ca_label N 11 e 16.79 S 0.40 U 15.67 P 95% M 486032 F 0 R 74194 W 0 c 792 w 85 I 42976 O 1856 L 7.06 7.01 7.00 @#@FSLOADPOST 2017:01:19:17:02:20 mris_ca_label N 11 7.04 7.01 7.00 #----------------------------------------- #@# Cortical Parc 3 rh Thu Jan 19 17:02:20 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts mris_ca_label -l ../label/rh.cortex.label -aseg ../mri/aseg.presurf.mgz -seed 1234 039 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... 1051 labels changed using aseg relabeling using gibbs priors... 000: 1789 changed, 118521 examined... 001: 396 changed, 8329 examined... 002: 102 changed, 2253 examined... 003: 39 changed, 612 examined... 004: 15 changed, 244 examined... 005: 8 changed, 82 examined... 006: 7 changed, 59 examined... 007: 5 changed, 37 examined... 008: 5 changed, 27 examined... 009: 5 changed, 22 examined... 010: 1 changed, 19 examined... 011: 1 changed, 7 examined... 012: 1 changed, 7 examined... 013: 1 changed, 7 examined... 014: 0 changed, 7 examined... 158 labels changed using aseg 000: 49 total segments, 16 labels (99 vertices) changed 001: 34 total segments, 1 labels (1 vertices) changed 002: 33 total segments, 0 labels (0 vertices) changed 10 filter iterations complete (10 requested, 1 changed) rationalizing unknown annotations with cortex label relabeling unknown label... relabeling corpuscallosum label... 946 vertices marked for relabeling... 946 labels changed in reclassification. writing output to ../label/rh.aparc.DKTatlas.annot... classification took 0 minutes and 20 seconds. @#@FSTIME 2017:01:19:17:02:20 mris_ca_label N 11 e 20.43 S 0.40 U 19.19 P 95% M 479940 F 0 R 76982 W 0 c 870 w 85 I 42952 O 1856 L 7.04 7.01 7.00 @#@FSLOADPOST 2017:01:19:17:02:40 mris_ca_label N 11 7.03 7.01 7.00 #----------------------------------------- #@# Parcellation Stats 3 lh Thu Jan 19 17:02:40 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 lh white computing statistics for each annotation in ../label/lh.aparc.DKTatlas.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201069 Total vertex volume 197651 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 1278 862 2249 2.554 0.519 0.123 0.019 17 0.9 caudalanteriorcingulate 3531 2432 6277 2.402 0.443 0.110 0.020 29 2.8 caudalmiddlefrontal 3087 2071 4100 1.835 0.420 0.138 0.034 43 4.0 cuneus 529 391 1568 3.199 0.638 0.134 0.027 5 0.7 entorhinal 2907 2033 5372 2.380 0.683 0.139 0.035 40 4.2 fusiform 5424 3810 9144 2.179 0.496 0.134 0.033 73 7.4 inferiorparietal 3663 2688 9031 2.542 0.738 0.148 0.043 70 6.5 inferiortemporal 1615 1086 2249 1.933 0.654 0.128 0.034 22 2.2 isthmuscingulate 6753 4631 10646 2.049 0.509 0.149 0.039 98 10.5 lateraloccipital 3721 2621 7678 2.622 0.694 0.151 0.044 69 6.4 lateralorbitofrontal 4339 3135 6525 1.951 0.530 0.152 0.036 74 6.8 lingual 2166 1549 4199 2.395 0.615 0.133 0.037 33 3.0 medialorbitofrontal 5181 3630 10319 2.434 0.557 0.131 0.030 68 6.4 middletemporal 893 655 2311 2.969 0.562 0.134 0.030 12 1.0 parahippocampal 2205 1509 3952 2.457 0.471 0.119 0.025 18 2.3 paracentral 1511 1014 2608 2.427 0.411 0.106 0.020 13 1.1 parsopercularis 910 607 1783 2.514 0.468 0.146 0.033 12 1.3 parsorbitalis 1699 1191 3063 2.308 0.493 0.124 0.027 17 1.7 parstriangularis 2260 1544 2414 1.705 0.352 0.139 0.040 29 3.7 pericalcarine 6000 3902 8729 2.048 0.539 0.105 0.022 52 4.8 postcentral 1369 930 2262 2.323 0.537 0.131 0.024 20 1.3 posteriorcingulate 7866 5028 13223 2.446 0.522 0.106 0.022 63 7.1 precentral 4844 3485 8046 2.170 0.531 0.136 0.030 59 6.2 precuneus 1304 888 2662 2.888 0.728 0.137 0.030 22 1.5 rostralanteriorcingulate 5480 3837 9507 2.174 0.478 0.132 0.029 71 6.7 rostralmiddlefrontal 10154 7015 20848 2.602 0.572 0.129 0.031 116 12.5 superiorfrontal 6290 4223 8961 1.981 0.434 0.118 0.026 72 6.6 superiorparietal 6450 4483 13761 2.653 0.681 0.119 0.026 69 6.7 superiortemporal 4627 3109 8227 2.406 0.441 0.130 0.028 59 5.2 supramarginal 600 382 938 2.370 0.377 0.130 0.023 6 0.6 transversetemporal 2407 1684 4998 2.822 0.793 0.117 0.032 25 3.4 insula @#@FSTIME 2017:01:19:17:02:41 mris_anatomical_stats N 14 e 42.60 S 0.34 U 40.35 P 95% M 474604 F 0 R 65701 W 0 c 195 w 313 I 0 O 272 L 7.03 7.01 7.00 @#@FSLOADPOST 2017:01:19:17:03:23 mris_anatomical_stats N 14 7.01 7.01 7.00 #----------------------------------------- #@# Parcellation Stats 3 rh Thu Jan 19 17:03:23 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 039 rh white computing statistics for each annotation in ../label/rh.aparc.DKTatlas.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 201966 Total vertex volume 198768 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 1179 829 2154 2.324 0.662 0.131 0.028 19 1.2 caudalanteriorcingulate 3126 2152 5629 2.385 0.467 0.124 0.027 31 3.3 caudalmiddlefrontal 3212 2133 4508 1.923 0.445 0.143 0.039 49 4.7 cuneus 491 360 1668 2.803 0.819 0.150 0.049 8 1.1 entorhinal 2916 2032 4923 2.257 0.539 0.141 0.037 39 4.1 fusiform 6699 4640 11539 2.182 0.492 0.136 0.032 89 8.6 inferiorparietal 4052 3020 9181 2.488 0.714 0.146 0.034 62 6.2 inferiortemporal 1532 1003 2251 2.032 0.739 0.127 0.033 23 1.9 isthmuscingulate 6749 4608 10825 2.057 0.563 0.152 0.040 104 10.5 lateraloccipital 3999 2758 7776 2.545 0.616 0.142 0.042 55 6.7 lateralorbitofrontal 4418 3123 6691 1.990 0.512 0.149 0.042 64 8.0 lingual 1810 1322 3752 2.438 0.802 0.149 0.039 37 2.5 medialorbitofrontal 4897 3572 10664 2.520 0.581 0.130 0.029 63 5.5 middletemporal 1179 851 2885 2.731 0.678 0.142 0.035 18 1.5 parahippocampal 2331 1560 4035 2.380 0.521 0.116 0.026 19 2.5 paracentral 1864 1281 3203 2.363 0.426 0.109 0.022 16 1.5 parsopercularis 906 616 1744 2.466 0.414 0.127 0.034 10 1.1 parsorbitalis 1811 1248 3344 2.382 0.462 0.123 0.025 20 1.8 parstriangularis 2250 1545 2664 1.777 0.368 0.137 0.041 28 3.4 pericalcarine 5798 3828 8080 1.939 0.519 0.108 0.022 52 5.1 postcentral 1745 1170 3030 2.264 0.782 0.130 0.027 26 1.9 posteriorcingulate 7427 4785 12257 2.365 0.467 0.105 0.020 55 6.3 precentral 5163 3520 9419 2.354 0.599 0.125 0.029 58 6.1 precuneus 1048 757 2037 2.417 0.915 0.143 0.032 20 1.3 rostralanteriorcingulate 4763 3339 8360 2.188 0.529 0.147 0.037 76 7.3 rostralmiddlefrontal 11294 7903 22072 2.511 0.548 0.136 0.032 147 14.5 superiorfrontal 5329 3542 8029 2.127 0.483 0.121 0.026 54 5.5 superiorparietal 6173 4218 12748 2.578 0.690 0.108 0.021 58 5.4 superiortemporal 4185 2861 7276 2.359 0.448 0.122 0.026 48 4.3 supramarginal 456 269 713 2.340 0.327 0.116 0.022 4 0.4 transversetemporal 2535 1730 5308 2.958 0.810 0.121 0.029 27 2.6 insula @#@FSTIME 2017:01:19:17:03:23 mris_anatomical_stats N 14 e 46.28 S 0.42 U 44.20 P 96% M 475756 F 0 R 65856 W 0 c 183 w 321 I 0 O 272 L 7.01 7.01 7.00 @#@FSLOADPOST 2017:01:19:17:04:10 mris_anatomical_stats N 14 7.00 7.00 7.00 #----------------------------------------- #@# WM/GM Contrast lh Thu Jan 19 17:04:10 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts pctsurfcon --s 039 --lh-only Log file is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts/pctsurfcon.log Thu Jan 19 17:04:10 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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-0-94 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/stable6/039/mri/rawavg.mgz --hemi lh --noreshape --interp trilinear --projdist -1 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9908/lh.wm.mgh --regheader 039 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/label/lh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 65682 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9908/lh.wm.mgh Dim: 118335 1 1 mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/rawavg.mgz --hemi lh --noreshape --interp trilinear --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9908/lh.gm.mgh --projfrac 0.3 --regheader 039 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/label/lh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white Done reading source surface Reading thickness /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 80049 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9908/lh.gm.mgh Dim: 118335 1 1 mri_concat /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9908/lh.wm.mgh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9908/lh.gm.mgh --paired-diff-norm --mul 100 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/lh.w-g.pct.mgh mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.w-g.pct.mgh --annot 039 lh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/lh.w-g.pct.mgh --annot 039 lh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/stats/lh.w-g.pct.stats --snr sysname Linux hostname compute-0-94 machine x86_64 user zkaufman UseRobust 0 Constructing seg from annotation Reading annotation /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/lh.w-g.pct.mgh Vertex Area is 0.686312 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 2017:01:19:17:04:10 pctsurfcon N 3 e 9.06 S 0.57 U 6.74 P 80% M 309172 F 24 R 146698 W 0 c 347 w 469 I 19864 O 2952 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:04:19 pctsurfcon N 3 6.93 6.99 6.99 #----------------------------------------- #@# WM/GM Contrast rh Thu Jan 19 17:04:19 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts pctsurfcon --s 039 --rh-only Log file is /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/scripts/pctsurfcon.log Thu Jan 19 17:04:19 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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-0-94 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/stable6/039/mri/rawavg.mgz --hemi rh --noreshape --interp trilinear --projdist -1 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9977/rh.wm.mgh --regheader 039 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/label/rh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 65672 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9977/rh.wm.mgh Dim: 118521 1 1 mri_vol2surf --mov /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/rawavg.mgz --hemi rh --noreshape --interp trilinear --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9977/rh.gm.mgh --projfrac 0.3 --regheader 039 --cortex srcvol = /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/label/rh.cortex.label Reading surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white Done reading source surface Reading thickness /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 80318 Masking with /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.cortex.label Writing to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9977/rh.gm.mgh Dim: 118521 1 1 mri_concat /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9977/rh.wm.mgh /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/tmp.pctsurfcon.9977/rh.gm.mgh --paired-diff-norm --mul 100 --o /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.w-g.pct.mgh mri_segstats --in /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.w-g.pct.mgh --annot 039 rh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.w-g.pct.mgh --annot 039 rh aparc --sum /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/stats/rh.w-g.pct.stats --snr sysname Linux hostname compute-0-94 machine x86_64 user zkaufman UseRobust 0 Constructing seg from annotation Reading annotation /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.w-g.pct.mgh Vertex Area is 0.685358 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 2017:01:19:17:04:19 pctsurfcon N 3 e 9.70 S 0.62 U 7.41 P 82% M 309560 F 1 R 147323 W 0 c 169 w 467 I 56 O 2976 L 6.93 6.99 6.99 @#@FSLOADPOST 2017:01:19:17:04:29 pctsurfcon N 3 6.94 6.99 6.99 #----------------------------------------- #@# Relabel Hypointensities Thu Jan 19 17:04:29 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri mri_relabel_hypointensities aseg.presurf.mgz ../surf aseg.presurf.hypos.mgz reading input surface ../surf/lh.white... relabeling lh hypointensities... 1987 voxels changed to hypointensity... reading input surface ../surf/rh.white... relabeling rh hypointensities... 1554 voxels changed to hypointensity... 3544 hypointense voxels neighboring cortex changed @#@FSTIME 2017:01:19:17:04:29 mri_relabel_hypointensities N 3 e 24.19 S 0.65 U 23.06 P 97% M 475468 F 0 R 225646 W 0 c 93 w 64 I 0 O 416 L 6.94 6.99 6.99 @#@FSLOADPOST 2017:01:19:17:04:53 mri_relabel_hypointensities N 3 6.96 6.99 6.99 #----------------------------------------- #@# AParc-to-ASeg aparc Thu Jan 19 17:04:53 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 mri_aparc2aseg --s 039 --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 039 outvol /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/aparc+aseg.mgz useribbon 0 baseoffset 0 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/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 5.96 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 107 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 9 rescaling Left_Inf_Lat_Vent from 34 --> 30 rescaling Left_Cerebellum_White_Matter from 86 --> 82 rescaling Left_Cerebellum_Cortex from 60 --> 54 rescaling Left_Thalamus from 94 --> 93 rescaling Left_Thalamus_Proper from 84 --> 86 rescaling Left_Caudate from 75 --> 67 rescaling Left_Putamen from 80 --> 79 rescaling Left_Pallidum from 98 --> 97 rescaling Third_Ventricle from 25 --> 16 rescaling Fourth_Ventricle from 22 --> 12 rescaling Brain_Stem from 81 --> 83 rescaling Left_Hippocampus from 57 --> 53 rescaling Left_Amygdala from 56 --> 58 rescaling CSF from 32 --> 21 rescaling Left_Accumbens_area from 62 --> 61 rescaling Left_VentralDC from 87 --> 91 rescaling Right_Cerebral_White_Matter from 105 --> 104 rescaling Right_Cerebral_Cortex from 58 --> 60 rescaling Right_Lateral_Ventricle from 13 --> 8 rescaling Right_Inf_Lat_Vent from 25 --> 21 rescaling Right_Cerebellum_White_Matter from 87 --> 80 rescaling Right_Cerebellum_Cortex from 59 --> 52 rescaling Right_Thalamus_Proper from 85 --> 81 rescaling Right_Caudate from 62 --> 70 rescaling Right_Putamen from 80 --> 72 rescaling Right_Pallidum from 97 --> 92 rescaling Right_Hippocampus from 53 --> 51 rescaling Right_Amygdala from 55 --> 58 rescaling Right_Accumbens_area from 65 --> 68 rescaling Right_VentralDC from 86 --> 95 rescaling Fifth_Ventricle from 40 --> 19 rescaling WM_hypointensities from 78 --> 80 rescaling non_WM_hypointensities from 40 --> 56 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 = 394367 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 148 changed. pass 2: 7 changed. pass 3: 1 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/aparc+aseg.mgz @#@FSTIME 2017:01:19:17:04:53 mri_aparc2aseg N 10 e 340.19 S 3.00 U 334.27 P 99% M 2304396 F 12 R 927270 W 0 c 1295 w 252 I 10976 O 712 L 6.96 6.99 6.99 @#@FSLOADPOST 2017:01:19:17:10:34 mri_aparc2aseg N 10 7.03 7.00 7.00 #----------------------------------------- #@# AParc-to-ASeg a2009s Thu Jan 19 17:10:34 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 mri_aparc2aseg --s 039 --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 039 outvol /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/aparc.a2009s+aseg.mgz useribbon 0 baseoffset 10100 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/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 5.96 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 107 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 9 rescaling Left_Inf_Lat_Vent from 34 --> 30 rescaling Left_Cerebellum_White_Matter from 86 --> 82 rescaling Left_Cerebellum_Cortex from 60 --> 54 rescaling Left_Thalamus from 94 --> 93 rescaling Left_Thalamus_Proper from 84 --> 86 rescaling Left_Caudate from 75 --> 67 rescaling Left_Putamen from 80 --> 79 rescaling Left_Pallidum from 98 --> 97 rescaling Third_Ventricle from 25 --> 16 rescaling Fourth_Ventricle from 22 --> 12 rescaling Brain_Stem from 81 --> 83 rescaling Left_Hippocampus from 57 --> 53 rescaling Left_Amygdala from 56 --> 58 rescaling CSF from 32 --> 21 rescaling Left_Accumbens_area from 62 --> 61 rescaling Left_VentralDC from 87 --> 91 rescaling Right_Cerebral_White_Matter from 105 --> 104 rescaling Right_Cerebral_Cortex from 58 --> 60 rescaling Right_Lateral_Ventricle from 13 --> 8 rescaling Right_Inf_Lat_Vent from 25 --> 21 rescaling Right_Cerebellum_White_Matter from 87 --> 80 rescaling Right_Cerebellum_Cortex from 59 --> 52 rescaling Right_Thalamus_Proper from 85 --> 81 rescaling Right_Caudate from 62 --> 70 rescaling Right_Putamen from 80 --> 72 rescaling Right_Pallidum from 97 --> 92 rescaling Right_Hippocampus from 53 --> 51 rescaling Right_Amygdala from 55 --> 58 rescaling Right_Accumbens_area from 65 --> 68 rescaling Right_VentralDC from 86 --> 95 rescaling Fifth_Ventricle from 40 --> 19 rescaling WM_hypointensities from 78 --> 80 rescaling non_WM_hypointensities from 40 --> 56 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 = 394393 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 148 changed. pass 2: 7 changed. pass 3: 1 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/aparc.a2009s+aseg.mgz @#@FSTIME 2017:01:19:17:10:34 mri_aparc2aseg N 11 e 339.07 S 2.91 U 333.55 P 99% M 2304488 F 0 R 927317 W 0 c 1309 w 236 I 0 O 768 L 7.03 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:16:13 mri_aparc2aseg N 11 7.02 7.01 7.00 #----------------------------------------- #@# AParc-to-ASeg DKTatlas Thu Jan 19 17:16:13 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 mri_aparc2aseg --s 039 --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 039 outvol mri/aparc.DKTatlas+aseg.mgz useribbon 0 baseoffset 0 RipUnknown 0 Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/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/stable6/039/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 5.96 reading 47 labels from mri/aseg.auto_noCCseg.label_intensities.txt rescaling Left_Cerebral_White_Matter from 107 --> 107 rescaling Left_Cerebral_Cortex from 61 --> 60 rescaling Left_Lateral_Ventricle from 13 --> 9 rescaling Left_Inf_Lat_Vent from 34 --> 30 rescaling Left_Cerebellum_White_Matter from 86 --> 82 rescaling Left_Cerebellum_Cortex from 60 --> 54 rescaling Left_Thalamus from 94 --> 93 rescaling Left_Thalamus_Proper from 84 --> 86 rescaling Left_Caudate from 75 --> 67 rescaling Left_Putamen from 80 --> 79 rescaling Left_Pallidum from 98 --> 97 rescaling Third_Ventricle from 25 --> 16 rescaling Fourth_Ventricle from 22 --> 12 rescaling Brain_Stem from 81 --> 83 rescaling Left_Hippocampus from 57 --> 53 rescaling Left_Amygdala from 56 --> 58 rescaling CSF from 32 --> 21 rescaling Left_Accumbens_area from 62 --> 61 rescaling Left_VentralDC from 87 --> 91 rescaling Right_Cerebral_White_Matter from 105 --> 104 rescaling Right_Cerebral_Cortex from 58 --> 60 rescaling Right_Lateral_Ventricle from 13 --> 8 rescaling Right_Inf_Lat_Vent from 25 --> 21 rescaling Right_Cerebellum_White_Matter from 87 --> 80 rescaling Right_Cerebellum_Cortex from 59 --> 52 rescaling Right_Thalamus_Proper from 85 --> 81 rescaling Right_Caudate from 62 --> 70 rescaling Right_Putamen from 80 --> 72 rescaling Right_Pallidum from 97 --> 92 rescaling Right_Hippocampus from 53 --> 51 rescaling Right_Amygdala from 55 --> 58 rescaling Right_Accumbens_area from 65 --> 68 rescaling Right_VentralDC from 86 --> 95 rescaling Fifth_Ventricle from 40 --> 19 rescaling WM_hypointensities from 78 --> 80 rescaling non_WM_hypointensities from 40 --> 56 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 = 394393 Used brute-force search on 0 voxels relabeling unlikely voxels in interior of white matter average std[0] = 7.3 pass 1: 148 changed. pass 2: 7 changed. pass 3: 1 changed. pass 4: 0 changed. nchanged = 0 Writing output aseg to mri/aparc.DKTatlas+aseg.mgz @#@FSTIME 2017:01:19:17:16:13 mri_aparc2aseg N 14 e 342.10 S 2.96 U 336.60 P 99% M 2304404 F 0 R 927279 W 0 c 2206 w 235 I 0 O 712 L 7.02 7.01 7.00 @#@FSLOADPOST 2017:01:19:17:21:55 mri_aparc2aseg N 14 7.00 7.00 7.00 #----------------------------------------- #@# APas-to-ASeg Thu Jan 19 17:21:55 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri apas2aseg --i aparc+aseg.mgz --o aseg.mgz Thu Jan 19 17:21:56 EST 2017 setenv SUBJECTS_DIR /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6 cd /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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-0-94 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/stable6/039/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-0-94 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 17:21:56 EST 2017 Ended at Thu Jan 19 17:22:07 EST 2017 Apas2aseg-Run-Time-Sec 11 apas2aseg Done @#@FSTIME 2017:01:19:17:21:56 apas2aseg N 4 e 11.66 S 0.15 U 11.21 P 97% M 172372 F 0 R 55903 W 0 c 57 w 213 I 16 O 616 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:22:07 apas2aseg N 4 7.00 7.00 7.00 #-------------------------------------------- #@# ASeg Stats Thu Jan 19 17:22:07 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 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 039 $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 039 sysname Linux hostname compute-0-94 machine x86_64 user zkaufman UseRobust 0 atlas_icv (eTIV) = 1340071 mm^3 (det: 1.453733 ) Computing euler number orig.nofix lheno = -64, rheno = -60 orig.nofix lhholes = 33, rhholes = 31 Loading mri/aseg.mgz Getting Brain Volume Statistics lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 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 2017:01:19:17:22:07 mri_segstats N 30 e 369.47 S 1.95 U 364.69 P 99% M 235456 F 0 R 784768 W 0 c 931 w 203 I 8 O 24 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:28:17 mri_segstats N 30 7.00 7.00 7.00 #----------------------------------------- #@# WMParc Thu Jan 19 17:28:17 EST 2017 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039 mri_aparc2aseg --s 039 --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 039 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/stable6/039/mri/aparc+aseg.mgz Reading lh white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white Reading lh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial Loading lh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/surf/rh.white Reading rh pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial Loading rh annotations from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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/stable6/039/mri/ribbon.mgz Loading filled from /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/ribbon.mgz Ripping vertices labeled as unkown Ripped 7312 vertices from left hemi Ripped 7182 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/stable6/039/mri/aseg.mgz Loading Ctx Seg File /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 = 786861 Used brute-force search on 20 voxels Fixing Parahip LH WM Found 4 clusters 0 k 1.000000 1 k 1388.000000 2 k 1.000000 3 k 3.000000 Fixing Parahip RH WM Found 12 clusters 0 k 1.000000 1 k 2.000000 2 k 2.000000 3 k 1.000000 4 k 1.000000 5 k 1.000000 6 k 1.000000 7 k 1.000000 8 k 1715.000000 9 k 1.000000 10 k 11.000000 11 k 1.000000 Writing output aseg to mri/wmparc.mgz @#@FSTIME 2017:01:19:17:28:17 mri_aparc2aseg N 10 e 189.35 S 0.84 U 186.52 P 98% M 1154548 F 0 R 242377 W 0 c 668 w 219 I 0 O 800 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:31:27 mri_aparc2aseg N 10 7.00 7.00 7.00 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 039 --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 039 --surf-wm-vol --ctab /space/freesurfer/build/pub-releases/v6.0.0/freesurfer/WMParcStatsLUT.txt --etiv sysname Linux hostname compute-0-94 machine x86_64 user zkaufman UseRobust 0 atlas_icv (eTIV) = 1340071 mm^3 (det: 1.453733 ) Loading mri/wmparc.mgz Getting Brain Volume Statistics lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 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 2017:01:19:17:31:27 mri_segstats N 22 e 668.17 S 2.77 U 662.60 P 99% M 236904 F 0 R 1265653 W 0 c 1147 w 177 I 56 O 24 L 7.00 7.00 7.00 @#@FSLOADPOST 2017:01:19:17:42:35 mri_segstats N 22 7.07 7.02 7.00 /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label #-------------------------------------------- #@# BA_exvivo Labels lh Thu Jan 19 17:42:35 EST 2017 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 144 Checking for and removing duplicates Writing label file ./lh.BA1_exvivo.label 4273 mri_label2label: Done @#@FSTIME 2017:01:19:17:42:35 mri_label2label N 12 e 13.15 S 0.41 U 11.97 P 94% M 500140 F 0 R 63085 W 0 c 621 w 84 I 17560 O 224 L 7.07 7.02 7.00 @#@FSLOADPOST 2017:01:19:17:42:48 mri_label2label N 12 7.13 7.04 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 195 Checking for and removing duplicates Writing label file ./lh.BA2_exvivo.label 8104 mri_label2label: Done @#@FSTIME 2017:01:19:17:42:48 mri_label2label N 12 e 12.28 S 0.32 U 11.53 P 96% M 500412 F 0 R 63153 W 0 c 68 w 69 I 632 O 392 L 7.13 7.04 7.01 @#@FSLOADPOST 2017:01:19:17:43:01 mri_label2label N 12 7.10 7.03 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 176 Checking for and removing duplicates Writing label file ./lh.BA3a_exvivo.label 4253 mri_label2label: Done @#@FSTIME 2017:01:19:17:43:01 mri_label2label N 12 e 11.86 S 0.31 U 10.61 P 92% M 500140 F 0 R 63084 W 0 c 110 w 66 I 320 O 232 L 7.10 7.03 7.01 @#@FSLOADPOST 2017:01:19:17:43:13 mri_label2label N 12 7.08 7.03 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 224 Checking for and removing duplicates Writing label file ./lh.BA3b_exvivo.label 6207 mri_label2label: Done @#@FSTIME 2017:01:19:17:43:13 mri_label2label N 12 e 12.05 S 0.34 U 11.46 P 97% M 500276 F 0 R 63632 W 0 c 51 w 81 I 472 O 328 L 7.08 7.03 7.01 @#@FSLOADPOST 2017:01:19:17:43:25 mri_label2label N 12 7.07 7.03 7.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 351 Checking for and removing duplicates Writing label file ./lh.BA4a_exvivo.label 6135 mri_label2label: Done @#@FSTIME 2017:01:19:17:43:25 mri_label2label N 12 e 12.19 S 0.33 U 11.04 P 93% M 500268 F 0 R 63116 W 0 c 127 w 69 I 456 O 360 L 7.07 7.03 7.00 @#@FSLOADPOST 2017:01:19:17:43:37 mri_label2label N 12 7.12 7.04 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 269 Checking for and removing duplicates Writing label file ./lh.BA4p_exvivo.label 4339 mri_label2label: Done @#@FSTIME 2017:01:19:17:43:37 mri_label2label N 12 e 11.09 S 0.35 U 10.32 P 96% M 500148 F 0 R 63597 W 0 c 53 w 68 I 320 O 264 L 7.12 7.04 7.01 @#@FSLOADPOST 2017:01:19:17:43:48 mri_label2label N 12 7.10 7.04 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 883 Checking for and removing duplicates Writing label file ./lh.BA6_exvivo.label 14472 mri_label2label: Done @#@FSTIME 2017:01:19:17:43:48 mri_label2label N 12 e 15.95 S 0.42 U 14.98 P 96% M 500836 F 0 R 63256 W 0 c 99 w 76 I 1056 O 864 L 7.10 7.04 7.01 @#@FSLOADPOST 2017:01:19:17:44:04 mri_label2label N 12 7.08 7.04 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 202 Checking for and removing duplicates Writing label file ./lh.BA44_exvivo.label 4383 mri_label2label: Done @#@FSTIME 2017:01:19:17:44:04 mri_label2label N 12 e 11.27 S 0.34 U 10.48 P 96% M 500148 F 0 R 63087 W 0 c 65 w 65 I 328 O 232 L 7.08 7.04 7.01 @#@FSLOADPOST 2017:01:19:17:44:16 mri_label2label N 12 7.06 7.04 7.00 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 239 Checking for and removing duplicates Writing label file ./lh.BA45_exvivo.label 3661 mri_label2label: Done @#@FSTIME 2017:01:19:17:44:16 mri_label2label N 12 e 11.26 S 0.37 U 10.56 P 97% M 500088 F 0 R 63071 W 0 c 48 w 76 I 272 O 208 L 7.06 7.04 7.00 @#@FSLOADPOST 2017:01:19:17:44:27 mri_label2label N 12 7.12 7.05 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 1311 Checking for and removing duplicates Writing label file ./lh.V1_exvivo.label 5952 mri_label2label: Done @#@FSTIME 2017:01:19:17:44:27 mri_label2label N 12 e 12.37 S 0.37 U 11.24 P 93% M 500220 F 0 R 63104 W 0 c 106 w 72 I 376 O 456 L 7.12 7.05 7.01 @#@FSLOADPOST 2017:01:19:17:44:40 mri_label2label N 12 7.18 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 2326 Checking for and removing duplicates Writing label file ./lh.V2_exvivo.label 10440 mri_label2label: Done @#@FSTIME 2017:01:19:17:44:40 mri_label2label N 12 e 12.90 S 0.33 U 12.24 P 97% M 500500 F 0 R 63685 W 0 c 66 w 77 I 664 O 816 L 7.18 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:44:53 mri_label2label N 12 7.14 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 256 Checking for and removing duplicates Writing label file ./lh.MT_exvivo.label 2274 mri_label2label: Done @#@FSTIME 2017:01:19:17:44:53 mri_label2label N 12 e 10.66 S 0.38 U 10.06 P 98% M 499988 F 0 R 63558 W 0 c 36 w 61 I 168 O 160 L 7.14 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:45:03 mri_label2label N 12 7.12 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 84 Checking for and removing duplicates Writing label file ./lh.entorhinal_exvivo.label 1374 mri_label2label: Done @#@FSTIME 2017:01:19:17:45:03 mri_label2label N 12 e 9.79 S 0.31 U 9.19 P 97% M 499944 F 0 R 63545 W 0 c 37 w 60 I 120 O 88 L 7.12 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:45:13 mri_label2label N 12 7.10 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 86 Checking for and removing duplicates Writing label file ./lh.perirhinal_exvivo.label 1285 mri_label2label: Done @#@FSTIME 2017:01:19:17:45:13 mri_label2label N 12 e 10.29 S 0.33 U 9.53 P 95% M 499928 F 0 R 63030 W 0 c 49 w 66 I 112 O 80 L 7.10 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:45:24 mri_label2label N 12 7.08 7.05 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA1_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 37 Checking for and removing duplicates Writing label file ./lh.BA1_exvivo.thresh.label 1051 mri_label2label: Done @#@FSTIME 2017:01:19:17:45:24 mri_label2label N 12 e 10.95 S 0.32 U 9.69 P 91% M 499904 F 0 R 63535 W 0 c 117 w 62 I 96 O 64 L 7.08 7.05 7.01 @#@FSLOADPOST 2017:01:19:17:45:35 mri_label2label N 12 7.14 7.07 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA2_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 49 Checking for and removing duplicates Writing label file ./lh.BA2_exvivo.thresh.label 2141 mri_label2label: Done @#@FSTIME 2017:01:19:17:45:35 mri_label2label N 12 e 11.65 S 0.31 U 10.12 P 89% M 499988 F 0 R 63048 W 0 c 167 w 69 I 192 O 112 L 7.14 7.07 7.01 @#@FSLOADPOST 2017:01:19:17:45:46 mri_label2label N 12 7.18 7.08 7.02 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3a_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 44 Checking for and removing duplicates Writing label file ./lh.BA3a_exvivo.thresh.label 1548 mri_label2label: Done @#@FSTIME 2017:01:19:17:45:47 mri_label2label N 12 e 11.58 S 0.39 U 10.63 P 95% M 499960 F 0 R 63549 W 0 c 70 w 65 I 136 O 88 L 7.18 7.08 7.02 @#@FSLOADPOST 2017:01:19:17:45:58 mri_label2label N 12 7.16 7.08 7.02 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA3b_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 82 Checking for and removing duplicates Writing label file ./lh.BA3b_exvivo.thresh.label 2078 mri_label2label: Done @#@FSTIME 2017:01:19:17:45:58 mri_label2label N 12 e 11.01 S 0.31 U 10.29 P 96% M 499988 F 0 R 63046 W 0 c 47 w 61 I 184 O 120 L 7.16 7.08 7.02 @#@FSLOADPOST 2017:01:19:17:46:09 mri_label2label N 12 7.13 7.07 7.02 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4a_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 140 Checking for and removing duplicates Writing label file ./lh.BA4a_exvivo.thresh.label 2459 mri_label2label: Done @#@FSTIME 2017:01:19:17:46:09 mri_label2label N 12 e 10.95 S 0.31 U 10.04 P 94% M 500008 F 0 R 63562 W 0 c 79 w 63 I 208 O 152 L 7.13 7.07 7.02 @#@FSLOADPOST 2017:01:19:17:46:20 mri_label2label N 12 7.11 7.07 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA4p_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 107 Checking for and removing duplicates Writing label file ./lh.BA4p_exvivo.thresh.label 1656 mri_label2label: Done @#@FSTIME 2017:01:19:17:46:20 mri_label2label N 12 e 10.88 S 0.37 U 10.03 P 95% M 499952 F 0 R 63038 W 0 c 54 w 70 I 144 O 104 L 7.11 7.07 7.01 @#@FSLOADPOST 2017:01:19:17:46:31 mri_label2label N 12 7.09 7.07 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA6_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 373 Checking for and removing duplicates Writing label file ./lh.BA6_exvivo.thresh.label 7408 mri_label2label: Done @#@FSTIME 2017:01:19:17:46:31 mri_label2label N 12 e 12.67 S 0.31 U 11.48 P 93% M 500356 F 0 R 63649 W 0 c 135 w 72 I 616 O 424 L 7.09 7.07 7.01 @#@FSLOADPOST 2017:01:19:17:46:44 mri_label2label N 12 7.07 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA44_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 28 Checking for and removing duplicates Writing label file ./lh.BA44_exvivo.thresh.label 1940 mri_label2label: Done @#@FSTIME 2017:01:19:17:46:44 mri_label2label N 12 e 10.78 S 0.32 U 9.95 P 95% M 499984 F 0 R 63556 W 0 c 68 w 62 I 168 O 96 L 7.07 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:46:55 mri_label2label N 12 7.06 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.BA45_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 76 Checking for and removing duplicates Writing label file ./lh.BA45_exvivo.thresh.label 1227 mri_label2label: Done @#@FSTIME 2017:01:19:17:46:55 mri_label2label N 12 e 10.53 S 0.31 U 9.86 P 96% M 499924 F 0 R 63542 W 0 c 54 w 65 I 104 O 72 L 7.06 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:47:06 mri_label2label N 12 7.05 7.06 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V1_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 937 Checking for and removing duplicates Writing label file ./lh.V1_exvivo.thresh.label 4342 mri_label2label: Done @#@FSTIME 2017:01:19:17:47:06 mri_label2label N 12 e 11.64 S 0.31 U 10.80 P 95% M 500108 F 0 R 63588 W 0 c 66 w 66 I 304 O 336 L 7.05 7.06 7.01 @#@FSLOADPOST 2017:01:19:17:47:17 mri_label2label N 12 7.04 7.05 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.V2_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 1090 Checking for and removing duplicates Writing label file ./lh.V2_exvivo.thresh.label 4424 mri_label2label: Done @#@FSTIME 2017:01:19:17:47:17 mri_label2label N 12 e 11.64 S 0.32 U 10.65 P 94% M 500104 F 0 R 63077 W 0 c 98 w 70 I 296 O 352 L 7.04 7.05 7.01 @#@FSLOADPOST 2017:01:19:17:47:29 mri_label2label N 12 7.03 7.05 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.MT_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 57 Checking for and removing duplicates Writing label file ./lh.MT_exvivo.thresh.label 570 mri_label2label: Done @#@FSTIME 2017:01:19:17:47:29 mri_label2label N 12 e 9.85 S 0.32 U 9.13 P 96% M 499876 F 0 R 63524 W 0 c 44 w 58 I 48 O 40 L 7.03 7.05 7.01 @#@FSLOADPOST 2017:01:19:17:47:39 mri_label2label N 12 7.03 7.05 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.entorhinal_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 25 Checking for and removing duplicates Writing label file ./lh.entorhinal_exvivo.thresh.label 495 mri_label2label: Done @#@FSTIME 2017:01:19:17:47:39 mri_label2label N 12 e 10.07 S 0.33 U 9.35 P 96% M 499884 F 0 R 63526 W 0 c 53 w 65 I 48 O 32 L 7.03 7.05 7.01 @#@FSLOADPOST 2017:01:19:17:47:49 mri_label2label N 12 7.02 7.05 7.01 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/lh.perirhinal_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/lh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118335 Number of reverse mapping hits = 45 Checking for and removing duplicates Writing label file ./lh.perirhinal_exvivo.thresh.label 495 mri_label2label: Done @#@FSTIME 2017:01:19:17:47:49 mri_label2label N 12 e 10.38 S 0.36 U 9.54 P 95% M 499864 F 0 R 63010 W 0 c 75 w 62 I 48 O 40 L 7.02 7.05 7.01 @#@FSLOADPOST 2017:01:19:17:48:00 mri_label2label N 12 7.02 7.05 7.00 mris_label2annot --s 039 --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/stable6/039/label cmdline mris_label2annot --s 039 --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-0-94 machine x86_64 user zkaufman subject 039 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/stable6/039/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 80701 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.BA_exvivo.annot @#@FSTIME 2017:01:19:17:48:00 mris_label2annot N 38 e 3.49 S 0.14 U 1.66 P 51% M 154652 F 12 R 20859 W 0 c 124 w 272 I 9944 O 1856 L 7.02 7.05 7.00 @#@FSLOADPOST 2017:01:19:17:48:03 mris_label2annot N 38 7.02 7.05 7.00 mris_label2annot --s 039 --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/stable6/039/label cmdline mris_label2annot --s 039 --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-0-94 machine x86_64 user zkaufman subject 039 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/stable6/039/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 95908 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/lh.BA_exvivo.thresh.annot @#@FSTIME 2017:01:19:17:48:03 mris_label2annot N 38 e 2.54 S 0.11 U 1.66 P 69% M 154376 F 0 R 21215 W 0 c 1487 w 260 I 0 O 1856 L 7.02 7.05 7.00 @#@FSLOADPOST 2017:01:19:17:48:06 mris_label2annot N 38 7.02 7.04 7.00 mris_anatomical_stats -th3 -mgz -f ../stats/lh.BA_exvivo.stats -b -a ./lh.BA_exvivo.annot -c ./BA_exvivo.ctab 039 lh white computing statistics for each annotation in ./lh.BA_exvivo.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 201069 Total vertex volume 197651 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 980 562 1669 2.219 0.441 0.126 0.029 14 0.9 BA1_exvivo 3151 2080 4508 2.105 0.387 0.106 0.021 27 2.6 BA2_exvivo 1019 710 997 1.743 0.408 0.142 0.030 11 1.1 BA3a_exvivo 2094 1368 2814 1.841 0.566 0.101 0.021 17 1.8 BA3b_exvivo 1658 1057 2870 2.470 0.501 0.106 0.026 12 1.8 BA4a_exvivo 1472 901 2034 2.295 0.568 0.088 0.019 7 1.3 BA4p_exvivo 8807 5835 18156 2.717 0.499 0.115 0.025 80 8.6 BA6_exvivo 1885 1270 3473 2.414 0.391 0.114 0.022 18 1.6 BA44_exvivo 2184 1515 4079 2.339 0.479 0.131 0.029 26 2.5 BA45_exvivo 3597 2528 4490 1.748 0.370 0.146 0.043 55 5.9 V1_exvivo 7888 5628 12252 1.988 0.536 0.159 0.040 124 13.7 V2_exvivo 1706 1220 2563 1.987 0.464 0.150 0.036 28 2.6 MT_exvivo 527 380 1550 3.183 0.595 0.104 0.019 4 0.4 perirhinal_exvivo 666 486 2038 3.252 0.596 0.156 0.040 10 1.0 entorhinal_exvivo @#@FSTIME 2017:01:19:17:48:06 mris_anatomical_stats N 12 e 40.09 S 0.30 U 36.98 P 93% M 470672 F 0 R 65717 W 0 c 307 w 261 I 0 O 136 L 7.02 7.04 7.00 @#@FSLOADPOST 2017:01:19:17:48:46 mris_anatomical_stats N 12 7.01 7.04 7.00 mris_anatomical_stats -th3 -mgz -f ../stats/lh.BA_exvivo.thresh.stats -b -a ./lh.BA_exvivo.thresh.annot -c ./BA_exvivo.thresh.ctab 039 lh white computing statistics for each annotation in ./lh.BA_exvivo.thresh.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/lh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 201069 Total vertex volume 197651 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 611 328 1045 2.282 0.448 0.127 0.028 9 0.6 BA1_exvivo 1242 834 1837 2.057 0.383 0.081 0.012 6 0.7 BA2_exvivo 870 590 775 1.698 0.359 0.151 0.032 10 1.1 BA3a_exvivo 1340 911 1458 1.558 0.340 0.081 0.013 5 0.7 BA3b_exvivo 1639 1043 2712 2.442 0.465 0.102 0.023 10 1.7 BA4a_exvivo 1179 735 1567 2.207 0.553 0.088 0.021 6 1.1 BA4p_exvivo 4821 3078 9870 2.814 0.499 0.108 0.024 40 4.5 BA6_exvivo 1038 718 1958 2.425 0.363 0.110 0.022 10 0.8 BA44_exvivo 839 599 1901 2.516 0.427 0.134 0.029 10 1.1 BA45_exvivo 3763 2661 4781 1.747 0.374 0.148 0.043 59 6.3 V1_exvivo 3998 2965 6549 2.003 0.578 0.171 0.043 69 7.7 V2_exvivo 434 314 687 1.988 0.466 0.142 0.033 5 0.5 MT_exvivo 260 202 785 3.103 0.502 0.076 0.009 1 0.1 perirhinal_exvivo 393 277 1014 3.222 0.586 0.156 0.030 6 0.5 entorhinal_exvivo @#@FSTIME 2017:01:19:17:48:46 mris_anatomical_stats N 12 e 44.31 S 0.37 U 41.11 P 93% M 470672 F 0 R 65204 W 0 c 292 w 255 I 0 O 136 L 7.01 7.04 7.00 @#@FSLOADPOST 2017:01:19:17:49:31 mris_anatomical_stats N 12 7.00 7.03 7.00 #-------------------------------------------- #@# BA_exvivo Labels rh Thu Jan 19 17:49:31 EST 2017 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 141 Checking for and removing duplicates Writing label file ./rh.BA1_exvivo.label 4103 mri_label2label: Done @#@FSTIME 2017:01:19:17:49:31 mri_label2label N 12 e 12.07 S 0.35 U 10.60 P 90% M 500892 F 0 R 63271 W 0 c 399 w 85 I 17536 O 224 L 6.92 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:49:43 mri_label2label N 12 6.93 7.01 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 144 Checking for and removing duplicates Writing label file ./rh.BA2_exvivo.label 6831 mri_label2label: Done @#@FSTIME 2017:01:19:17:49:43 mri_label2label N 12 e 12.17 S 0.37 U 11.45 P 97% M 501080 F 0 R 63320 W 0 c 64 w 72 I 520 O 328 L 6.93 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:49:55 mri_label2label N 12 6.94 7.01 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 80 Checking for and removing duplicates Writing label file ./rh.BA3a_exvivo.label 4060 mri_label2label: Done @#@FSTIME 2017:01:19:17:49:55 mri_label2label N 12 e 11.82 S 0.35 U 10.76 P 94% M 500888 F 0 R 63783 W 0 c 158 w 66 I 312 O 200 L 6.94 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:50:07 mri_label2label N 12 6.95 7.01 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 127 Checking for and removing duplicates Writing label file ./rh.BA3b_exvivo.label 4649 mri_label2label: Done @#@FSTIME 2017:01:19:17:50:07 mri_label2label N 12 e 10.78 S 0.31 U 10.20 P 97% M 500928 F 0 R 63791 W 0 c 51 w 64 I 352 O 240 L 6.95 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:50:18 mri_label2label N 12 6.96 7.01 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 394 Checking for and removing duplicates Writing label file ./rh.BA4a_exvivo.label 6141 mri_label2label: Done @#@FSTIME 2017:01:19:17:50:18 mri_label2label N 12 e 11.88 S 0.35 U 11.19 P 97% M 501020 F 0 R 63305 W 0 c 45 w 69 I 440 O 368 L 6.96 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:50:30 mri_label2label N 12 6.97 7.01 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 169 Checking for and removing duplicates Writing label file ./rh.BA4p_exvivo.label 4642 mri_label2label: Done @#@FSTIME 2017:01:19:17:50:30 mri_label2label N 12 e 11.73 S 0.37 U 11.01 P 97% M 500928 F 0 R 63792 W 0 c 43 w 71 I 344 O 248 L 6.97 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:50:42 mri_label2label N 12 6.97 7.01 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 1053 Checking for and removing duplicates Writing label file ./rh.BA6_exvivo.label 13309 mri_label2label: Done @#@FSTIME 2017:01:19:17:50:42 mri_label2label N 12 e 14.64 S 0.38 U 13.34 P 93% M 501500 F 0 R 63936 W 0 c 160 w 84 I 936 O 808 L 6.97 7.01 6.99 @#@FSLOADPOST 2017:01:19:17:50:56 mri_label2label N 12 6.98 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 544 Checking for and removing duplicates Writing label file ./rh.BA44_exvivo.label 7456 mri_label2label: Done @#@FSTIME 2017:01:19:17:50:57 mri_label2label N 12 e 12.60 S 0.32 U 11.89 P 96% M 501116 F 0 R 63840 W 0 c 71 w 70 I 528 O 440 L 6.98 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:51:09 mri_label2label N 12 6.98 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 433 Checking for and removing duplicates Writing label file ./rh.BA45_exvivo.label 5788 mri_label2label: Done @#@FSTIME 2017:01:19:17:51:09 mri_label2label N 12 e 12.35 S 0.35 U 10.90 P 91% M 501000 F 0 R 63300 W 0 c 229 w 68 I 416 O 352 L 6.98 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:51:22 mri_label2label N 12 6.98 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 1592 Checking for and removing duplicates Writing label file ./rh.V1_exvivo.label 6319 mri_label2label: Done @#@FSTIME 2017:01:19:17:51:22 mri_label2label N 12 e 13.02 S 0.30 U 11.04 P 87% M 501000 F 0 R 63811 W 0 c 254 w 71 I 376 O 488 L 6.98 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:51:35 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 2596 Checking for and removing duplicates Writing label file ./rh.V2_exvivo.label 10612 mri_label2label: Done @#@FSTIME 2017:01:19:17:51:35 mri_label2label N 12 e 12.85 S 0.32 U 12.15 P 97% M 501264 F 0 R 63877 W 0 c 53 w 82 I 640 O 824 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:51:48 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 304 Checking for and removing duplicates Writing label file ./rh.MT_exvivo.label 2236 mri_label2label: Done @#@FSTIME 2017:01:19:17:51:48 mri_label2label N 12 e 10.89 S 0.34 U 9.86 P 93% M 500712 F 0 R 63227 W 0 c 85 w 69 I 160 O 160 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:51:59 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 99 Checking for and removing duplicates Writing label file ./rh.entorhinal_exvivo.label 1137 mri_label2label: Done @#@FSTIME 2017:01:19:17:51:59 mri_label2label N 12 e 9.78 S 0.32 U 9.20 P 97% M 500656 F 0 R 63725 W 0 c 50 w 63 I 96 O 72 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:52:09 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 77 Checking for and removing duplicates Writing label file ./rh.perirhinal_exvivo.label 829 mri_label2label: Done @#@FSTIME 2017:01:19:17:52:09 mri_label2label N 12 e 11.12 S 0.37 U 9.79 P 91% M 500640 F 0 R 63719 W 0 c 151 w 57 I 72 O 56 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:52:20 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA1_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 28 Checking for and removing duplicates Writing label file ./rh.BA1_exvivo.thresh.label 904 mri_label2label: Done @#@FSTIME 2017:01:19:17:52:20 mri_label2label N 12 e 10.10 S 0.32 U 9.36 P 96% M 500636 F 0 R 63718 W 0 c 34 w 57 I 80 O 48 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:52:30 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA2_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 34 Checking for and removing duplicates Writing label file ./rh.BA2_exvivo.thresh.label 2722 mri_label2label: Done @#@FSTIME 2017:01:19:17:52:30 mri_label2label N 12 e 10.96 S 0.33 U 10.34 P 97% M 500776 F 0 R 63753 W 0 c 37 w 70 I 240 O 136 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:52:41 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3a_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 34 Checking for and removing duplicates Writing label file ./rh.BA3a_exvivo.thresh.label 1732 mri_label2label: Done @#@FSTIME 2017:01:19:17:52:41 mri_label2label N 12 e 10.36 S 0.30 U 9.81 P 97% M 500712 F 0 R 63225 W 0 c 34 w 67 I 152 O 88 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:52:52 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA3b_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 38 Checking for and removing duplicates Writing label file ./rh.BA3b_exvivo.thresh.label 2221 mri_label2label: Done @#@FSTIME 2017:01:19:17:52:52 mri_label2label N 12 e 10.81 S 0.34 U 10.20 P 97% M 500744 F 0 R 63747 W 0 c 28 w 68 I 192 O 120 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:53:03 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4a_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 109 Checking for and removing duplicates Writing label file ./rh.BA4a_exvivo.thresh.label 1497 mri_label2label: Done @#@FSTIME 2017:01:19:17:53:03 mri_label2label N 12 e 10.61 S 0.32 U 9.85 P 95% M 500684 F 0 R 63731 W 0 c 50 w 62 I 120 O 96 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:53:13 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA4p_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 36 Checking for and removing duplicates Writing label file ./rh.BA4p_exvivo.thresh.label 1525 mri_label2label: Done @#@FSTIME 2017:01:19:17:53:13 mri_label2label N 12 e 10.37 S 0.32 U 9.76 P 97% M 500684 F 0 R 63220 W 0 c 34 w 61 I 136 O 88 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:53:24 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA6_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 590 Checking for and removing duplicates Writing label file ./rh.BA6_exvivo.thresh.label 7549 mri_label2label: Done @#@FSTIME 2017:01:19:17:53:24 mri_label2label N 12 e 12.07 S 0.30 U 11.45 P 97% M 501124 F 0 R 63842 W 0 c 46 w 67 I 592 O 464 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:53:36 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA44_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 57 Checking for and removing duplicates Writing label file ./rh.BA44_exvivo.thresh.label 1069 mri_label2label: Done @#@FSTIME 2017:01:19:17:53:36 mri_label2label N 12 e 10.76 S 0.29 U 9.97 P 95% M 500648 F 0 R 63721 W 0 c 47 w 59 I 88 O 64 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:53:47 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.BA45_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 85 Checking for and removing duplicates Writing label file ./rh.BA45_exvivo.thresh.label 1263 mri_label2label: Done @#@FSTIME 2017:01:19:17:53:47 mri_label2label N 12 e 10.69 S 0.29 U 9.73 P 93% M 500680 F 0 R 63221 W 0 c 86 w 70 I 104 O 80 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:53:58 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V1_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 1102 Checking for and removing duplicates Writing label file ./rh.V1_exvivo.thresh.label 4334 mri_label2label: Done @#@FSTIME 2017:01:19:17:53:58 mri_label2label N 12 e 11.14 S 0.33 U 10.51 P 97% M 500860 F 0 R 63264 W 0 c 46 w 72 I 280 O 336 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:09 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.V2_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 1185 Checking for and removing duplicates Writing label file ./rh.V2_exvivo.thresh.label 4622 mri_label2label: Done @#@FSTIME 2017:01:19:17:54:09 mri_label2label N 12 e 11.27 S 0.29 U 10.39 P 94% M 500864 F 0 R 63267 W 0 c 74 w 70 I 296 O 368 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:20 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.MT_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 31 Checking for and removing duplicates Writing label file ./rh.MT_exvivo.thresh.label 299 mri_label2label: Done @#@FSTIME 2017:01:19:17:54:20 mri_label2label N 12 e 10.19 S 0.32 U 9.48 P 96% M 500604 F 0 R 63701 W 0 c 38 w 58 I 24 O 24 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:31 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.entorhinal_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 53 Checking for and removing duplicates Writing label file ./rh.entorhinal_exvivo.thresh.label 747 mri_label2label: Done @#@FSTIME 2017:01:19:17:54:31 mri_label2label N 12 e 10.61 S 0.35 U 9.65 P 94% M 500640 F 0 R 63206 W 0 c 73 w 64 I 64 O 48 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:41 mri_label2label N 12 6.99 7.00 6.99 mri_label2label --srcsubject fsaverage --srclabel /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/fsaverage/label/rh.perirhinal_exvivo.thresh.label --trgsubject 039 --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 = 039 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/stable6/039/surf/rh.white Reading target registration /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/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 118521 Number of reverse mapping hits = 18 Checking for and removing duplicates Writing label file ./rh.perirhinal_exvivo.thresh.label 309 mri_label2label: Done @#@FSTIME 2017:01:19:17:54:41 mri_label2label N 12 e 9.87 S 0.29 U 9.09 P 95% M 500612 F 0 R 63707 W 0 c 57 w 58 I 32 O 24 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:51 mri_label2label N 12 6.99 7.00 6.99 mris_label2annot --s 039 --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/stable6/039/label cmdline mris_label2annot --s 039 --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-0-94 machine x86_64 user zkaufman subject 039 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/stable6/039/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 79685 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.BA_exvivo.annot @#@FSTIME 2017:01:19:17:54:51 mris_label2annot N 38 e 2.51 S 0.11 U 1.64 P 70% M 155140 F 0 R 21020 W 0 c 38 w 260 I 0 O 1856 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:54 mris_label2annot N 38 6.99 7.00 6.99 mris_label2annot --s 039 --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/stable6/039/label cmdline mris_label2annot --s 039 --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-0-94 machine x86_64 user zkaufman subject 039 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/stable6/039/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 96332 unhit vertices Writing annot to /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/label/rh.BA_exvivo.thresh.annot @#@FSTIME 2017:01:19:17:54:54 mris_label2annot N 38 e 2.75 S 0.12 U 1.92 P 74% M 154776 F 0 R 20803 W 0 c 35 w 257 I 0 O 1856 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:54:57 mris_label2annot N 38 6.99 7.00 6.99 mris_anatomical_stats -th3 -mgz -f ../stats/rh.BA_exvivo.stats -b -a ./rh.BA_exvivo.annot -c ./BA_exvivo.ctab 039 rh white computing statistics for each annotation in ./rh.BA_exvivo.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 201966 Total vertex volume 198768 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 781 473 1431 2.219 0.416 0.137 0.030 11 0.9 BA1_exvivo 2603 1736 3484 2.047 0.445 0.092 0.017 18 1.7 BA2_exvivo 1008 681 924 1.741 0.335 0.126 0.029 8 1.1 BA3a_exvivo 1742 1153 2158 1.683 0.540 0.105 0.022 14 1.6 BA3b_exvivo 1570 977 2649 2.403 0.414 0.094 0.021 9 1.3 BA4a_exvivo 1183 783 1736 2.262 0.431 0.088 0.018 5 0.9 BA4p_exvivo 8361 5572 16368 2.606 0.517 0.123 0.027 80 9.3 BA6_exvivo 3389 2321 5846 2.371 0.427 0.111 0.020 29 2.8 BA44_exvivo 3431 2348 6475 2.366 0.484 0.129 0.029 42 3.8 BA45_exvivo 3987 2793 5791 1.864 0.457 0.149 0.048 65 7.6 V1_exvivo 7997 5439 11503 1.957 0.499 0.153 0.040 123 12.7 V2_exvivo 1822 1275 2899 2.072 0.458 0.144 0.036 26 2.5 MT_exvivo 564 421 2045 2.952 0.828 0.133 0.039 6 0.8 perirhinal_exvivo 398 289 1225 3.047 0.713 0.152 0.032 8 0.5 entorhinal_exvivo @#@FSTIME 2017:01:19:17:54:57 mris_anatomical_stats N 12 e 40.11 S 0.31 U 37.20 P 93% M 471840 F 0 R 65363 W 0 c 258 w 256 I 0 O 136 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:55:37 mris_anatomical_stats N 12 6.99 7.00 6.99 mris_anatomical_stats -th3 -mgz -f ../stats/rh.BA_exvivo.thresh.stats -b -a ./rh.BA_exvivo.thresh.annot -c ./BA_exvivo.thresh.ctab 039 rh white computing statistics for each annotation in ./rh.BA_exvivo.thresh.annot. reading volume /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/mri/wm.mgz... reading input surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... reading input pial surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.pial... reading input white surface /autofs/cluster/freesurfer/subjects/test/buckner_data/stable6/039/surf/rh.white... INFO: using TH3 volume calc INFO: assuming MGZ format for volumes. Using TH3 vertex volume calc Total face volume 201966 Total vertex volume 198768 (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) = 1340071 mm^3 (det: 1.453733 ) lhCtxGM: 197250.877 197601.000 diff= -350.1 pctdiff=-0.178 rhCtxGM: 198367.663 197938.000 diff= 429.7 pctdiff= 0.217 lhCtxWM: 195803.479 196112.000 diff= -308.5 pctdiff=-0.158 rhCtxWM: 197618.317 198080.000 diff= -461.7 pctdiff=-0.234 SubCortGMVol 46999.000 SupraTentVol 865194.336 (864482.000) diff=712.336 pctdiff=0.082 SupraTentVolNotVent 837470.336 (836758.000) diff=712.336 pctdiff=0.085 BrainSegVol 981763.000 (979133.000) diff=2630.000 pctdiff=0.268 BrainSegVolNotVent 950398.000 (949508.336) diff=889.664 pctdiff=0.094 BrainSegVolNotVent 950398.000 CerebellumVol 113441.000 VentChorVol 27724.000 3rd4th5thCSF 3641.000 CSFVol 1011.000, OptChiasmVol 199.000 MaskVol 1352077.000 496 294 851 2.118 0.446 0.132 0.032 7 0.6 BA1_exvivo 1525 1000 2068 1.943 0.415 0.081 0.014 10 0.9 BA2_exvivo 890 602 767 1.703 0.290 0.124 0.027 7 1.0 BA3a_exvivo 1366 922 1362 1.498 0.310 0.088 0.015 6 0.9 BA3b_exvivo 1056 637 1803 2.482 0.460 0.111 0.025 8 1.1 BA4a_exvivo 974 647 1379 2.286 0.405 0.088 0.017 3 0.8 BA4p_exvivo 5376 3560 10378 2.581 0.524 0.122 0.027 53 6.0 BA6_exvivo 756 515 1517 2.446 0.421 0.112 0.026 8 0.8 BA44_exvivo 857 603 1823 2.409 0.494 0.131 0.028 11 0.9 BA45_exvivo 3830 2663 5358 1.851 0.442 0.145 0.046 60 6.9 V1_exvivo 4242 2961 6136 1.901 0.447 0.159 0.043 71 7.4 V2_exvivo 237 170 339 1.748 0.420 0.164 0.040 5 0.4 MT_exvivo 350 268 1298 2.913 0.764 0.132 0.038 3 0.6 perirhinal_exvivo 234 172 638 3.004 0.831 0.114 0.021 2 0.2 entorhinal_exvivo @#@FSTIME 2017:01:19:17:55:37 mris_anatomical_stats N 12 e 38.84 S 0.35 U 36.53 P 94% M 471836 F 0 R 65871 W 0 c 197 w 260 I 0 O 136 L 6.99 7.00 6.99 @#@FSLOADPOST 2017:01:19:17:56:16 mris_anatomical_stats N 12 7.07 7.02 7.00 Started at Thu Jan 19 03:19:14 EST 2017 Ended at Thu Jan 19 17:56:16 EST 2017 #@#%# recon-all-run-time-hours 14.617 recon-all -s 039 finished without error at Thu Jan 19 17:56:16 EST 2017 New invocation of recon-all Mon Feb 27 22:46:26 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039 /usr/local/freesurfer/stable6_0_0/bin/recon-all -s 039 -qcache subjid 039 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-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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 256695 total used free shared buffers cached Mem: 32877784 10327300 22550484 48 28264 837340 -/+ buffers/cache: 9461696 23416088 Swap: 67108856 22276 67086580 pbsjob 13634231.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: 2017/02/28-03:46:26-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.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: 2017/02/28-03:46:26-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.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: 2017/02/28-03:46:27-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:27-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:27-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_gcut ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_label2label.bin ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_pretess ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:28-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_concatenate_lta.bin ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_normalize_tp2 ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:29-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_topo_fixer ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_volmask ProgramArguments: --all-info ProgramVersion: $Name: $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_anatomical_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_curvature_stats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mris_calc ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.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: 2017/02/28-03:46:30-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.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: 2017/02/28-03:46:31-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_and ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:31-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_or ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:31-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_fuse_segmentations ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:31-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_segstats ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:31-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.el6.x86_64 CompilerName: GCC CompilerVersion: 40400 ProgramName: mri_relabel_hypointensities ProgramArguments: -all-info ProgramVersion: $Name: stable6 $ TimeStamp: 2017/02/28-03:46:31-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-0-23 Platform: Linux PlatformVersion: 2.6.32-431.17.1.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 22:46:31 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas thickness --target fsaverage --out lh.thickness.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.769 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.thickness.fsaverage.mris_preproc.log Mon Feb 27 22:46:32 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas thickness --target fsaverage --out lh.thickness.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.769 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:46:32 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.769/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.769/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.thickness --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.thickness srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.769/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.769/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.769/039.1.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.769 Mon Feb 27 22:46:40 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh area fsaverage Mon Feb 27 22:46:40 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas area --target fsaverage --out lh.area.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.1070 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.area.fsaverage.mris_preproc.log Mon Feb 27 22:46:40 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas area --target fsaverage --out lh.area.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.1070 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:46:40 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.1070/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.1070/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.area --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.area srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.1070/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.1070/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.1070/039.1.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.1070 Mon Feb 27 22:46:52 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh area.pial fsaverage Mon Feb 27 22:46:52 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --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.1487 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.area.pial.fsaverage.mris_preproc.log Mon Feb 27 22:46:52 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas area.pial --target fsaverage --out lh.area.pial.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.1487 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:46:52 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.1487/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.1487/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.area.pial --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.area.pial srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.1487/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.1487/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.1487/039.1.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.1487 Mon Feb 27 22:47:03 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh volume fsaverage Mon Feb 27 22:47:03 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas volume --target fsaverage --out lh.volume.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.1804 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.volume.fsaverage.mris_preproc.log Mon Feb 27 22:47:03 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas volume --target fsaverage --out lh.volume.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.1804 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:03 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.1804/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.1804/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.volume --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.volume srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.1804/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.1804/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.1804/039.1.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.1804 Mon Feb 27 22:47:13 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh curv fsaverage Mon Feb 27 22:47:13 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas curv --target fsaverage --out lh.curv.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.2118 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.curv.fsaverage.mris_preproc.log Mon Feb 27 22:47:13 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas curv --target fsaverage --out lh.curv.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.2118 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:14 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2118/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2118/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.curv --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.curv srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.2118/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.2118/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.2118/039.1.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.2118 Mon Feb 27 22:47:22 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh sulc fsaverage Mon Feb 27 22:47:22 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas sulc --target fsaverage --out lh.sulc.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.2413 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.sulc.fsaverage.mris_preproc.log Mon Feb 27 22:47:23 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas sulc --target fsaverage --out lh.sulc.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.2413 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:23 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2413/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2413/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.sulc --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.sulc srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.2413/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.2413/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.2413/039.1.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.2413 Mon Feb 27 22:47:31 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh white.K fsaverage Mon Feb 27 22:47:31 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas white.K --target fsaverage --out lh.white.K.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.2707 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.white.K.fsaverage.mris_preproc.log Mon Feb 27 22:47:31 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas white.K --target fsaverage --out lh.white.K.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.2707 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:32 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2707/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2707/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.white.K --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.white.K srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.2707/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.2707/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.2707/039.1.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.2707 Mon Feb 27 22:47:39 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh white.H fsaverage Mon Feb 27 22:47:39 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas white.H --target fsaverage --out lh.white.H.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.2987 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.white.H.fsaverage.mris_preproc.log Mon Feb 27 22:47:39 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas white.H --target fsaverage --out lh.white.H.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.2987 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:40 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2987/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.2987/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.white.H --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.white.H srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.2987/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.2987/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.2987/039.1.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.2987 Mon Feb 27 22:47:48 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh jacobian_white fsaverage Mon Feb 27 22:47:48 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas jacobian_white --target fsaverage --out lh.jacobian_white.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.3277 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.jacobian_white.fsaverage.mris_preproc.log Mon Feb 27 22:47:48 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas jacobian_white --target fsaverage --out lh.jacobian_white.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.3277 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:48 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.3277/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.3277/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.jacobian_white --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.jacobian_white srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.3277/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.3277/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.3277/039.1.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.3277 Mon Feb 27 22:47:55 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc lh w-g.pct.mgh fsaverage Mon Feb 27 22:47:55 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi lh --meas w-g.pct.mgh --target fsaverage --out lh.w-g.pct.mgh.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.3557 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is lh.w-g.pct.mgh.fsaverage.mris_preproc.log Mon Feb 27 22:47:55 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi lh --meas w-g.pct.mgh --target fsaverage --out lh.w-g.pct.mgh.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.3557 Src lh sphere.reg Trg lh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:47:56 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.3557/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi lh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi lh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.3557/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.w-g.pct.mgh --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/lh.w-g.pct.mgh srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.3557/039.1.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/039/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/039/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 (118335) Reverse Loop had 14065 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152525, nTrgMulti = 11317, MnTrgMultiHits = 2.24282 nSrc121 = 74482, nSrcLost = 0, nSrcMulti = 43853, MnSrcMultiHits = 2.35845 Reading target space mask label lh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.3557/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.3557/039.1.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.3557 Mon Feb 27 22:48:04 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh thickness fsaverage Mon Feb 27 22:48:04 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas thickness --target fsaverage --out rh.thickness.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.3792 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.thickness.fsaverage.mris_preproc.log Mon Feb 27 22:48:04 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas thickness --target fsaverage --out rh.thickness.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.3792 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:48:04 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.3792/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.3792/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.thickness --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.thickness srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.3792/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.3792/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.3792/039.1.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.3792 Mon Feb 27 22:48:13 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh area fsaverage Mon Feb 27 22:48:13 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas area --target fsaverage --out rh.area.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.4046 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.area.fsaverage.mris_preproc.log Mon Feb 27 22:48:13 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas area --target fsaverage --out rh.area.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.4046 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:48:13 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4046/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4046/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.area --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.area srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4046/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4046/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4046/039.1.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.4046 Mon Feb 27 22:48:23 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh area.pial fsaverage Mon Feb 27 22:48:23 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --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.4280 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.area.pial.fsaverage.mris_preproc.log Mon Feb 27 22:48:24 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas area.pial --target fsaverage --out rh.area.pial.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.4280 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:48:24 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4280/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4280/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.area.pial --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.area.pial srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4280/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4280/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4280/039.1.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.4280 Mon Feb 27 22:48:35 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh volume fsaverage Mon Feb 27 22:48:35 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas volume --target fsaverage --out rh.volume.fsaverage.mgh nsubjects = 1 INFO: turning on jacobican correction tmpdir is ./tmp.mris_preproc.4525 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.volume.fsaverage.mris_preproc.log Mon Feb 27 22:48:35 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas volume --target fsaverage --out rh.volume.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.4525 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:48:35 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4525/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4525/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.volume --jac --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.volume srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4525/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits INFO: nSrcLost = 0 surf2surf_nnfr_jac() done nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4525/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4525/039.1.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.4525 Mon Feb 27 22:48:45 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh curv fsaverage Mon Feb 27 22:48:45 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas curv --target fsaverage --out rh.curv.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.4788 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.curv.fsaverage.mris_preproc.log Mon Feb 27 22:48:45 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas curv --target fsaverage --out rh.curv.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.4788 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:48:45 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4788/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.4788/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.curv --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.curv srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.4788/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.4788/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.4788/039.1.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.4788 Mon Feb 27 22:48:54 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh sulc fsaverage Mon Feb 27 22:48:54 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas sulc --target fsaverage --out rh.sulc.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5070 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.sulc.fsaverage.mris_preproc.log Mon Feb 27 22:48:54 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas sulc --target fsaverage --out rh.sulc.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.5070 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:48:54 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5070/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5070/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.sulc --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.sulc srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5070/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5070/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5070/039.1.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.5070 Mon Feb 27 22:49:03 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh white.K fsaverage Mon Feb 27 22:49:03 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas white.K --target fsaverage --out rh.white.K.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5305 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.white.K.fsaverage.mris_preproc.log Mon Feb 27 22:49:03 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas white.K --target fsaverage --out rh.white.K.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.5305 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:49:03 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5305/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5305/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.white.K --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.white.K srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5305/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5305/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5305/039.1.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.5305 Mon Feb 27 22:49:11 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh white.H fsaverage Mon Feb 27 22:49:11 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas white.H --target fsaverage --out rh.white.H.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5546 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.white.H.fsaverage.mris_preproc.log Mon Feb 27 22:49:12 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas white.H --target fsaverage --out rh.white.H.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.5546 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:49:12 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5546/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5546/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.white.H --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.white.H srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5546/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5546/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5546/039.1.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.5546 Mon Feb 27 22:49:20 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh jacobian_white fsaverage Mon Feb 27 22:49:20 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas jacobian_white --target fsaverage --out rh.jacobian_white.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.5776 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.jacobian_white.fsaverage.mris_preproc.log Mon Feb 27 22:49:21 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas jacobian_white --target fsaverage --out rh.jacobian_white.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.5776 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:49:21 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5776/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.5776/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.jacobian_white --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.jacobian_white srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.5776/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.5776/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.5776/039.1.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.5776 Mon Feb 27 22:49:29 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache preproc rh w-g.pct.mgh fsaverage Mon Feb 27 22:49:29 EST 2017 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf mris_preproc --s 039 --hemi rh --meas w-g.pct.mgh --target fsaverage --out rh.w-g.pct.mgh.fsaverage.mgh nsubjects = 1 tmpdir is ./tmp.mris_preproc.6010 /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf Log file is rh.w-g.pct.mgh.fsaverage.mris_preproc.log Mon Feb 27 22:49:30 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/039/surf /usr/local/freesurfer/stable6_0_0/bin/mris_preproc --s 039 --hemi rh --meas w-g.pct.mgh --target fsaverage --out rh.w-g.pct.mgh.fsaverage.mgh Linux compute-0-23 2.6.32-431.17.1.el6.x86_64 #1 SMP Wed May 7 23:32:49 UTC 2014 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.6010 Src rh sphere.reg Trg rh sphere.reg --------------------------------------------------- #@# 1/1 039 Mon Feb 27 22:49:30 EST 2017 -------------- ----------------------- mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6010/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/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/039/surf mri_surf2surf --srcsubject 039 --srchemi rh --srcsurfreg sphere.reg --trgsubject fsaverage --trghemi rh --trgsurfreg sphere.reg --tval ./tmp.mris_preproc.6010/039.1.mgh --sval /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.w-g.pct.mgh --sfmt curv --noreshape --cortex sysname Linux hostname compute-0-23 machine x86_64 user zkaufman srcsubject = 039 srcval = /autofs/space/terrier_001/users/zkaufman/tutorial_data/buckner_data/tutorial_subjs/group_analysis_tutorial/039/surf/rh.w-g.pct.mgh srctype = curv trgsubject = fsaverage trgval = ./tmp.mris_preproc.6010/039.1.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/039/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/039/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 (118521) Reverse Loop had 14094 hits Surf2Surf: Dividing by number of hits (163842) INFO: nSrcLost = 0 nTrg121 = 152607, nTrgMulti = 11235, MnTrgMultiHits = 2.25447 nSrc121 = 74638, nSrcLost = 0, nSrcMulti = 43883, MnSrcMultiHits = 2.35394 Reading target space mask label rh.cortex.label masking the input Saving target data Saving to ./tmp.mris_preproc.6010/039.1.mgh ----------------------- mri_concat ./tmp.mris_preproc.6010/039.1.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.6010 Mon Feb 27 22:49:38 EST 2017 mris_preproc done #-------------------------------------------- #@# Qdec Cache surf2surf lh thickness fwhm0 fsaverage Mon Feb 27 22:49:38 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/039/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-0-23 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 22:49:43 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/039/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-0-23 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 22:49:53 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/039/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-0-23 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 22:50:02 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/039/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-0-23 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 22:50:12 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/039/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-0-23 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 22:50:22 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/039/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-0-23 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 22:50:34 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/039/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-0-23 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 22:50:38 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/039/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-0-23 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 22:50:46 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/039/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-0-23 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 22:50:54 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/039/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-0-23 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 22:51:03 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/039/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-0-23 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 22:51:13 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/039/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-0-23 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 22:51:23 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/039/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-0-23 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 22:51:27 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/039/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-0-23 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 22:51:36 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/039/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-0-23 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 22:51:46 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/039/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-0-23 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 22:51:55 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/039/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-0-23 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 22:52:05 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/039/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-0-23 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 22:52:16 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/039/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-0-23 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 22:52:19 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/039/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-0-23 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 22:52:27 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/039/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-0-23 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 22:52:36 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/039/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-0-23 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 22:52:45 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/039/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-0-23 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 22:52:55 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/039/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-0-23 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 22:53:08 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/039/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-0-23 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 22:53:12 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/039/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-0-23 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 22:53:21 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/039/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-0-23 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 22:53:30 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/039/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-0-23 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 22:53:40 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/039/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-0-23 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 22:53:51 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/039/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-0-23 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 22:54:01 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/039/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-0-23 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 22:54:05 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/039/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-0-23 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 22:54:15 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/039/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-0-23 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 22:54:22 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/039/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-0-23 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 22:54:31 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/039/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-0-23 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 22:54:40 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/039/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-0-23 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 22:54:52 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/039/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-0-23 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 22:54:56 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/039/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-0-23 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 22:55:03 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/039/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-0-23 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 22:55:12 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/039/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-0-23 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 22:55:20 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/039/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-0-23 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 22:55:29 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/039/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-0-23 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 22:55:41 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/039/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-0-23 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 22:55:45 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/039/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-0-23 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 22:55:53 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/039/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-0-23 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 22:56:03 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/039/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-0-23 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 22:56:13 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/039/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-0-23 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 22:56:23 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/039/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-0-23 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 22:56:35 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/039/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-0-23 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 22:56:40 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/039/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-0-23 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 22:56:49 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/039/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-0-23 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 22:56:57 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/039/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-0-23 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 22:57:07 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/039/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-0-23 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 22:57:16 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/039/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-0-23 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 22:57:27 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/039/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-0-23 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 22:57:31 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/039/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-0-23 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 22:57:39 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/039/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-0-23 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 22:57:47 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/039/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-0-23 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 22:57:56 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/039/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-0-23 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 22:58:05 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/039/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-0-23 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 22:58:16 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/039/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-0-23 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 22:58:21 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/039/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-0-23 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 22:58:31 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/039/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-0-23 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 22:58:40 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/039/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-0-23 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 22:58:50 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/039/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-0-23 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 22:59:00 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/039/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-0-23 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 22:59:11 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/039/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-0-23 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 22:59:14 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/039/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-0-23 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 22:59:22 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/039/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-0-23 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 22:59:30 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/039/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-0-23 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 22:59:39 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/039/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-0-23 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 22:59:49 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/039/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-0-23 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 22:59:58 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/039/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-0-23 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 23:00:02 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/039/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-0-23 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 23:00:10 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/039/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-0-23 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 23:00:17 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/039/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-0-23 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 23:00:26 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/039/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-0-23 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 23:00:36 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/039/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-0-23 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 23:00:47 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/039/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-0-23 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 23:00:51 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/039/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-0-23 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 23:00:59 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/039/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-0-23 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 23:01:08 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/039/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-0-23 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 23:01:16 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/039/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-0-23 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 23:01:28 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/039/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-0-23 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 23:01:39 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/039/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-0-23 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 23:01:42 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/039/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-0-23 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 23:01:52 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/039/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-0-23 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 23:02:01 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/039/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-0-23 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 23:02:11 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/039/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-0-23 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 23:02:20 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/039/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-0-23 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 23:02:31 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/039/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-0-23 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 23:02:35 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/039/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-0-23 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 23:02:44 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/039/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-0-23 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 23:02:52 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/039/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-0-23 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 23:03:01 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/039/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-0-23 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 23:03:12 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/039/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-0-23 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 23:03:23 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/039/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-0-23 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 23:03:28 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/039/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-0-23 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 23:03:36 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/039/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-0-23 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 23:03:44 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/039/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-0-23 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 23:03:53 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/039/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-0-23 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 23:04:02 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/039/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-0-23 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 23:04:11 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/039/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-0-23 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 23:04:16 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/039/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-0-23 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 23:04:24 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/039/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-0-23 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 23:04:32 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/039/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-0-23 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 23:04:42 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/039/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-0-23 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 23:04:51 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/039/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-0-23 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 23:05:01 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/039/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-0-23 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 23:05:05 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/039/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-0-23 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 23:05:14 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/039/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-0-23 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 23:05:23 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/039/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-0-23 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 23:05:33 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/039/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-0-23 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 23:05:44 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/039/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-0-23 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 23:05:54 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/039/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-0-23 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 23:05:57 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/039/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-0-23 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 23:06:06 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/039/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-0-23 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 23:06:14 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/039/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-0-23 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 23:06:23 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/039/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-0-23 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 23:06:33 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/039/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-0-23 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 22:46:25 EST 2017 Ended at Mon Feb 27 23:06:47 EST 2017 #@#%# recon-all-run-time-hours 0.339 recon-all -s 039 finished without error at Mon Feb 27 23:06:47 EST 2017