Many will perform a map-based analysis on the cortical thickness or
volume or area, then use a cluster-wise correction for multiple
comparisons. If you want to go the ROI route, then you can test each ROI
separately (ie, compute a p-value for the ROI0, then bonferoni correct
the p-values for the number of tests (about 400). You could also FDR
correct.

doug

Liukarl wrote:
>
> Hello, Freesurfers
>
> After autorecon3, there are cortical measures for the over 30
> predefined regions. And for each regions, there are area, volume, and
> thickness 3 different measures, which means there are approximately
> 200 measure for both hemispheres.
>
> As a preliminary analysis without specific priori hypothesis, what is
> the standard way to examine the massive data to find possible group
> difference for a small sample size about 40 subjects with 20 in each
> group.
>
> thanks
>
> Karl
>
>
> 搜索本应是彩色的,快来体验新一代搜索引擎-必应,精美图片每天换哦! 立即试
> 用! <http://cn.bing.com/?form=CRMADS%20>
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

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