depends on how you want to do it. You can create a contrast to test the
interaction (probably 0 0 1 -1) then look for significant clusters. Or
you can extract the thicknesses out of the clustter for each subject
(already there with the y.ocn file), then do a post hoc test in  SPSS,
matlab, etc

doug

On 12/23/2013 03:39 AM, jh kim wrote:
> Dear Doug and experts
>
> Using DODS model in QDEC, I've found 2 significant clusters in
> whole-brain cortical thickness analysis between controls and patients
> (2 group, 1 factor), controlling for the effect of age (one covariate).
> My question is how can I obtain p value for interaction term
> (group*age) in each cluster?
> Is it possible to do that analysis in FreeSurfer pipeline? Or should I
> extract individual cortical thickness of each cluster and test this
> interaction term using statistics software (e.g., SPSS)?
>
> Thank you in advance for your help.
> Kim
>
>

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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
greve@nmr.mgh.harvard.edu
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