I assume you mean volume since subcortical structures do not have thickness. You would use mri_glmfit the same as with the whole brain above, but instead of --y thicknessfile, you would use --table roifile, where roifile is one of the outputs from asegstats2table or aparcstats2table. See https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROIExternal Email - Use Caution
Hello experts,
I am following these instructions https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis to analyze the association between IQ and whole brain cortical thickness of brain areas (which by default uses Desikan atlas of 34 regions).
I was wondering how:(1). To do the similar analysis to identify sub-cortical regions which show significant association between thickness and IQ.
You would have to map the Yeo atlas into the individual subject, then run mris_anatomical_stats. I think Yeo has a page on this. Then use aparcstats2table and mri_glmfit(2). To use other atlases here i.e., replace Desikan atlas with 7 or 17 network Yeo atlas to identify which network shows the association with IQ.
I know how to extract thickness etc from sub-cortical areas (i.e., aseg stats) and use Yeo atlas outside these instructions, but I am not sure how to do this in above described instructions i.e., replace Desikan with sub-cortical and Yeo atlases etc.
Any help would be really appreciated.
Thanks !
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