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 > > > _______________________________________________ > 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.