Are you doing this inside or outside of FSFAST? If outside you would 
register your fmri to the anatomical with bbregister, then use 
mri_vol2surf to map it to the surface, then surf2surf to map it to 
fsaverage, then smooth, then mri_glmfit to test for a differnece between 
groups, then mri_glmfit-sim to get clusters. One of the cluster outputs 
will be "ocn" file. This is a segmentation-like surface structure. To 
get the mean thickness in each cluster, you would run mris_preproc to 
get a stack of thickness maps in fsaverage space, then run something like


mri_segstats --i lh.thickness.stack.mgh --seg ocn.mgh --exlucdeid 0 
--avgwf cluster.thickness.stack.dat


cluster.thickness.stack.dat will have a row for each subject and a 
column for each cluster



On 04/10/2018 12:06 PM, Arsenije Subotic wrote:
>
> Dear experts,
>
>
> I would like to create an average surface template of fMRI activation 
> for two groups, and then determine areas of low cerebrovascular 
> reactivity in my disease group, create a ROI, and extract the cortical 
> thickness in this region and see how it compares to a control group by 
> translating this ROI onto the control surface template. Do you have 
> any tips or suggestions on how this workflow should be done?
>
>
> I've currently been able to create an average surface for both groups, 
> and I know how to create labels using tksurfer and to extract cortical 
> thickness using mri_anatomical_stats. Is it possible however to create 
> an ROI by only considering areas of low CVR/low activation in my 
> disease group and calculating cortical thickness for this area, and 
> then visualize it somehow and then translate this label onto the 
> control group and doing the same?
>
>
> I know it's a lot of questions, but going through the tutorial 
> (https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MultiModalFmriGroup_tktools)
>  
> it seems that I wasn't able to find exactly what I'm looking for.
>
>
> Thank you for your help,
>
> Arsenije
>
>
>
>
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