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Dear Sir or Madam,
 
I am currently trying to run a group analysis on FreeSurfer. After having created a FSGD-File I tried mris_prepoc. As a command I use
 
mris_preproc --fsgd FSGD_File_Aggression.fsgd --cache-in
thickness.fwhm10.fsaverage --target fsaverage --hemi lh --out
lh.gender_age.thickness.10.mgh. 
 
My FSGD-File looks like this.
 
GroupDesriptorFile 1            
Title Aggression Martial Arts            
Class 0            
Class 1            
Variables Age            
Input    zv75 0   27
Input    xp09 0   26
Input    wn791   24
Input    wi40 0   19
Input    vg03 0   33
Input    va82 1   24
Input    ui42  1   23
Input    ud16 0   26
Input    tp38  1   22
Input    to98  1   22
Input    th01  0   23
Input    tg08  1   23
Input    so80  1   21
Input    re37  0   27
Input    pt12  1   27
Input    pl96  1   22
Input    pi04  1   27
Input    oo75 0   22
Input    ob56 1   23
Input    nh85 1   27
Input    mw53 1  23
Input    lu75  0   22
Input    lt62   1   22
Input    le00   0   23
Input    lc79   1   24
Input    kp89  0   22
Input    ko71  1   25
Input    ke93  0   29
Input    ju55   0   20
Input    jc49   0   21
Input    in19   1   29
Input    if27    0   29
Input    hc55   1   23
Input    gs02   0   43
Input    fp50   1   21
Input    ez57   1   25
Input    et53   1   24
Input    ei77    1  27
Input    dn20   1  28
Input    cp97   0  25
Input    cn18   1  52
Input    cm66  0  21
Input    cg21   1  22
Input    bw90  0  29
Input    bg38   1  25
Input    ab35   0  22
 
However FreeSurfer always metions that there are no subjects specified. So, this is what I tried today.
 
Last login: Mon Nov  5 14:12:34 on ttys000
kpsy-mac84024:~ Forschung$ ls
All_regions.jpg
CONN_autorecovery_project_07-Jun-2017-15-51-32
CONN_autorecovery_project_07-Jun-2017-15-51-32.mat
DTI
Desktop
Documents
Dokumente
Downloads
ENIGMA_QC
Library
Movies
Music
Pictures
Public
QC
TIV.txt
aparc_area_lh.txt
aparc_meancurv_lh.txt
aparc_thickness_lh.txt
aparc_thickness_rh.txt
aparc_volume_rh.txt
catlog_main_20180302_124731_log01.txt
error.log
export
m.mat
matlab
matlab_crash_dump.378-1
matlab_crash_dump.466-1
matlab_crash_dump.495-1
setenv
source
test3333.txt
kpsy-mac84024:~ Forschung$ pwd
/Users/Forschung
kpsy-mac84024:~ Forschung$ cd Dektop/
-bash: cd: Dektop/: No such file or directory
kpsy-mac84024:~ Forschung$ cd Desktop/
kpsy-mac84024:Desktop Forschung$ cd Larissa/
kpsy-mac84024:Larissa Forschung$ cd Gewalt/
kpsy-mac84024:Gewalt Forschung$ ls
Correlate 13.spv
FSGD_File_Aggression.fsgd
FSGD_File_Aggression.fsgtr´r´´n´FSGD_File_Aggression.txt
Lateroorbitofrontal r GruppeFAV.spv
Pars opercularis r Gruppe.spv
ab35
aparc_area_lh.txt
aparc_area_rh.txt
aparc_meancurv_lh.txt
aparc_meancurv_rh.txt
aparc_thickness_lh.txt
aparc_thickness_rh.txt
aparc_volume_rh.txt
aseg_stats.txt
bg38
bw90
caudatur r Gruppe.spv
cg21
cm66
cn18
cp97
ct23
dn20
ei77
error.log
et53
ez57
fp50
glm
gs02
hc55
if27
in19
jc49
ju55
ke93
ko71
kp89
lc79
le00
lh.BA.area.txt
lh.BA.meancurv.txt
lh.BA.thickness.txt
lh.BA.volume.txt
lh.a2009s.area.txt
lh.a2009s.meancurv.txt
lh.a2009s.thickness.txt
lh.a2009s.volume.txt
lt62
lu75
mw53
nh85
ob56
oo75
pi04
pl96
pt12
re37
rh.BA.area.txt
rh.BA.meancurv.txt
rh.BA.thickness.txt
rh.BA.volume.txt
rh.a2009s.area.txt
rh.a2009s.meancurv.txt
rh.a2009s.thickness.txt
rh.a2009s.volume.txt
so80
tg08
th01
to98
tp38
ud16
ui42
va82
vg03
wi40
wmparc_stats.txt
wn79
xp09
zv75
kpsy-mac84024:Gewalt Forschung$ mv FSGD_File_Aggression.fsgd
usage: mv [-f | -i | -n] [-v] source target
       mv [-f | -i | -n] [-v] source ... directory
kpsy-mac84024:Gewalt Forschung$ mris_preproc --fsgd FSGD_File_Aggression.fsgd --cache-in thickness.fwhm10.fsaverage --target fsaverage --hemi lh --out lh.gender_age.thickness.10.mgh
-bash: mris_preproc: command not found
kpsy-mac84024:Gewalt Forschung$ bash
bash-3.2$ csh
[kpsy-mac84024:~/Desktop/Larissa/Gewalt] Forschung% setenv
TERM_PROGRAM=Apple_Terminal
TERM=xterm-256color
SHELL=/bin/bash
TMPDIR=/var/folders/jy/b26gtv1s0tb7smwrvlc4233h0000gp/T/
Apple_PubSub_Socket_Render=/private/tmp/com.apple.launchd.T97ejGsUvc/Render
TERM_PROGRAM_VERSION=361.1
TERM_SESSION_ID=B9E4C78C-6C45-419B-ABDF-33C85ADC9B42
USER=Forschung
SSH_AUTH_SOCK=/private/tmp/com.apple.launchd.wVr5HHnUoE/Listeners
__CF_USER_TEXT_ENCODING=0x1F6:0x0:0x3
PATH=/opt/local/bin:/opt/local/sbin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/X11/bin
_=/bin/csh
PWD=/Users/Forschung/Desktop/Larissa/Gewalt
LANG=de_DE.UTF-8
XPC_FLAGS=0x0
XPC_SERVICE_NAME=0
HOME=/Users/Forschung
SHLVL=3
LOGNAME=Forschung
DISPLAY=/private/tmp/com.apple.launchd.Qt4G1Gdu4d/org.macosforge.xquartz:0
HOSTTYPE=unknown
VENDOR=apple
OSTYPE=darwin
MACHTYPE=x86_64
GROUP=staff
HOST=kpsy-mac84024.imed.uni-magdeburg.de
[kpsy-mac84024:~/Desktop/Larissa/Gewalt] Forschung% stenv
stenv: Command not found.
[kpsy-mac84024:~/Desktop/Larissa/Gewalt] Forschung% ls
Correlate 13.spv
FSGD_File_Aggression.fsgd
FSGD_File_Aggression.fsgtr´r´´n´FSGD_File_Aggression.txt
Lateroorbitofrontal r GruppeFAV.spv
Pars opercularis r Gruppe.spv
ab35
aparc_area_lh.txt
aparc_area_rh.txt
aparc_meancurv_lh.txt
aparc_meancurv_rh.txt
aparc_thickness_lh.txt
aparc_thickness_rh.txt
aparc_volume_rh.txt
aseg_stats.txt
bg38
bw90
caudatur r Gruppe.spv
cg21
cm66
cn18
cp97
ct23
dn20
ei77
error.log
et53
ez57
fp50
glm
gs02
hc55
if27
in19
jc49
ju55
ke93
ko71
kp89
lc79
le00
lh.BA.area.txt
lh.BA.meancurv.txt
lh.BA.thickness.txt
lh.BA.volume.txt
lh.a2009s.area.txt
lh.a2009s.meancurv.txt
lh.a2009s.thickness.txt
lh.a2009s.volume.txt
lt62
lu75
mw53
nh85
ob56
oo75
pi04
pl96
pt12
re37
rh.BA.area.txt
rh.BA.meancurv.txt
rh.BA.thickness.txt
rh.BA.volume.txt
rh.a2009s.area.txt
rh.a2009s.meancurv.txt
rh.a2009s.thickness.txt
rh.a2009s.volume.txt
so80
tg08
th01
to98
tp38
ud16
ui42
va82
vg03
wi40
wmparc_stats.txt
wn79
xp09
zv75
[kpsy-mac84024:~/Desktop/Larissa/Gewalt] Forschung% mris_preproc --fsgd FSGD_File_Aggression.fsgd --cache-in thickness.fwhm10.fsaverage --target fsaverage --hemi lh --out lh.gender_age.thickness.10.mgh
mris_preproc: Command not found.
ERROR: no subjects specified[kpsy-mac84024:~/Desktop/Larissa/Gewalt] Forschung% ERROR: no subjects specified.
 
If you helped me with my problem I would be really grateful.
 
yours sincerely
 
Larissa Bechtle
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