Yes, just extract the stats on each time point as done in a cross
sectional analysis (but instead on the ?.long.base directories) do a
paired t (or a t on the difference) to see if there is increase or
decrease.
If you look at one of the reported ROI's (e.g. caudate volume, or
pre-central thickness) you can directly get the values from the stats
files. If you have your own ROI's you need to use segstats to get the
stats for them.
Cheers, Martin
> _______________________________________________
On Wed, 2012-04-11 at 19:19 +0200, Dídac Vidal wrote:
> Hi everybody,
> I have a question about FS longitudinal post-processing. Currently I
> obtained some corrected results comparing a Control vs. an
> Experimental group (pre-post).
> What i would like to know is if there's a thinning in the control
> group or a increase in the thickness of the experimental group.
> I tought in create a label and extract the individual values of both
> timepoints and then do a t test in order to see if the mean differs to
> 0.
> How I can do that?; There is an easier way to do it?
> Thanks in advance
>
> --
> Dídac Vidal Piñeiro
>
> Dept. Psychiatry and Clinical Psychobiology
> Faculty of Medicine
> University of barcelona
>
>
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> Freesurfer@nmr.mgh.harvard.edu
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