Hi Martin,
I would like to compare also a Control vs. an Experimental group (pre-post), but instead of using ROIs, I am interested in a whole-brain paired t-test analysis between the two groups. Which data should I take? Would it be possible to process ?.long.base with qcache and take the "rh.thickness.fwhm20.fsaverage.mgh" files? Or maybe could I use QDEC with ?.long.base after qcache?
Thank you, Yolanda
2012/4/12 Martin Reuter mreuter@nmr.mgh.harvard.edu
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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