On 10/30/2015 01:36 PM, Eryilmaz, H. Hamdi wrote: > Sorry, the figures I inserted in the text did not appear in the email. > I attach them now. > > Best, > Hamdi > > ------------------------------------------------------------------------ > *From:* freesurfer-boun...@nmr.mgh.harvard.edu > [freesurfer-boun...@nmr.mgh.harvard.edu] on behalf of Eryilmaz, H. > Hamdi [hamdi.eryil...@mgh.harvard.edu] > *Sent:* Friday, October 30, 2015 1:32 PM > *To:* freesurfer@nmr.mgh.harvard.edu > *Subject:* [Freesurfer] cortical thickness - comparing two groups > within a ROI > > Dear FS experts, > > I have a question about extracting average cortical thickness from a > manually created ROI. I am comparing 2 groups, namely PostFort and > PreFort and my fsgd file appears as the following: > > GroupDescriptorFile 1 > Title PostPreFortification > Class PostFort > Class PreFort > > Input Subject1 PostFort > Input Subject2 PostFort > . > . > . > > The contrast that I use to compare these groups is [1 -1]. When I > display the significance map for this contrast I get the following > image on the left hemisphere: > > > > > My first question is, those blue clusters represent regions, where > thickness is greater in the PreFort group, don't they? Correct > Assuming this is correct, I created a label for this region (which > contains about 3000 vertices) and extracted the thickness value from > this region for each subject using the following commands. These > commands are part of scripts in which $subject and $label are defined. > > > > _to make a label for each subject (the original label was created on > fsaverage):_ > *mri_label2label* --srclabel $SUBJECTS_DIR/labels/${label}.label > --srcsubject fsaverage --trglabel > $SUBJECTS_DIR/$subject/label/$label.label --trgsubject $subject > --regmethod surface --hemi lh > > _to create a stats file of this ROI containing several anatomical > measures:_ > *mris_anatomical_stats* -f > $SUBJECTS_DIR/$subject/stats/lh.NP_PostMINUSPre_IPS.label.stats -l > $SUBJECTS_DIR/$subject/label/NP_PostMINUSPre_IPS.label $subject lh > > _to compile thickness values from all subjects into one table: _ > *aparcstats2table* --hemi lh --subjectsfile > $SUBJECTS_DIR/Subject_Files/RPDR/214_PrePostFort --parc > NP_PostMINUSPre_IPS.label --meas thickness --tablefile > $SUBJECTS_DIR/Analyses_Thickness/Tables/LH_NP_PostMINUSPre_IPS_stats.txt > > This table displays the average thickness value of my ROI for each > subject. Based on this table I calculated the mean thickness for each > group, which is as the following: > > PostFort: 3.043 > PreFort: 2.842 > > My question is: If this cluster appears blue in the Post>Pre map, > shouldn't the thickness have been greater in the PreFort group? Or am > I missing a step? Not sure. The commands look right. Can you try something else? mri_segstats --slabel fsaverage lh contrast.fsaverage.label --i y.mgh --id 1 --avgwf y.label.dat
This should create a single column of numbers in y.label.dat that correspond to the mean thickness in the label of each subject as ordered in your fsgd file. See if you get similar numbers to your method doug > > Many thanks in advance! > > Best, > Hamdi > > > > > > > > > > > > > > > > > > > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer -- Douglas N. Greve, Ph.D. MGH-NMR Center gr...@nmr.mgh.harvard.edu Phone Number: 617-724-2358 Fax: 617-726-7422 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 www.nmr.mgh.harvard.edu/facility/filedrop/index.html Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.