I guess the easiest way is to save the output cluster number (--ocn
option to mri_surfcluster), then create a segmentation lookup table
(like FreeSurferColorLUT.txt), one row for each of your clusters. Then
run mri_segstats, passing the ocn as the --seg, your new color table as
--ctab, the mri_glmfit --y input as --in, and use the --avgwf output of
mri_segstats. The output in this case will be an average thickness (or
whatever --y was) for each subject for each cluster. I have not tried
this before, so let me know if this works.
doug
[EMAIL PROTECTED] wrote:
Hello all,
I have just completed a group analysis of cortical thickness, including
running the full Monte Carlo simulation to obtain cluster-wise multiple
comparison corrections. Now I would like to know, for the clusters I'm
interested in, how best to go about doing a statistical power analysis
for an upcoming grant application, based on the completed analysis. Is
there some easy way to extract the thickness for all individual subjects
for a specified cluster, either for all vertices within the cluster, for
the mean of all vertices within the cluster, or even for the peak vertex
(maximum group difference), so that I can compute group mean and
standard deviations for a measure of effect size?
Thanks,
Don
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Douglas N. Greve, Ph.D.
MGH-NMR Center
[EMAIL PROTECTED]
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