On Tue, 2012-07-03 at 15:58 +0200, Yolanda Vives
wrote:
> 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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