Hi Martin, lot's of small changes can make a big change but from your phrasing i assume this isn't the case. what has changed? i would like to have the new (long_mris_slope) script.
thanks, -joost On Tue, Jul 3, 2012 at 6:30 PM, Martin Reuter <mreu...@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 <mreu...@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 >
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