On Tue, Jul 3, 2012 at 6:30 PM, Martin Reuter <mreuter@nmr.mgh.harvard.edu> wrote:

Hi Yolanda,

take a look at the longitudinal tutorial:
http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/LongitudinalTutorial

There is a section that hints at the post-processing as far as we have
implemented it. Based on a longitudinal qdec table you can run
long_mris_slopes to create rate or percent change maps for each subject
and then run qdec on these for the cross sectional comparison.

Also I can make available a newer version of that script as lots of
small things have changed since last year, let me know.

Best, Martin

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
> >
> >
>
> > _______________________________________________
> > Freesurfer mailing list
> > Freesurfer@nmr.mgh.harvard.edu
> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>
> _______________________________________________
> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>
>
> The information in this e-mail is intended only for the person
> to whom it is
> addressed. If you believe this e-mail was sent to you in error
> and the e-mail
> contains patient information, please contact the Partners
> Compliance HelpLine at
> http://www.partners.org/complianceline . If the e-mail was
> sent to you in error
> but does not contain patient information, please contact the
> sender and properly
> dispose of the e-mail.
>
>
>
>

_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer