Hi Martin,

 

Thank you for your answer. I am also interested in testing your new scripts, if it is possible.

 

Regards,

Yolanda

2012/7/3 Martin Reuter <mreuter@nmr.mgh.harvard.edu>

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
>         >
>         >
>
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