Hi Donna, Thanks your helpful information. Yes, it's our recently accepted paper.
Best, Gang > Hi Gang, > >*From what I can tell, you can feed TFCE any statistic (t, f, r -- > whatever) that gets more significant as you get away from zero (positive or > negative). > * But as for caret_stats, we don't get much fancier than simple t- or > f-stats (and the ANOVAs are one-way). > For a stat that regresses stuff out, etc. you'll have to look elsewhere. > And if you want to use TFCE, you'll have the added constraint that you need > to randomize it so that you end up with 5k iterations or so, so you can > build the max TFCE distribution. Maybe the FSL folks have figured out a way > to write surface files as NIfTI and feed them to randomise. > If you haven't already seen this, check it out: > http://www.insight-journal.org/browse/publication/694 > They didn't use TFCE, but their work is relevant. > Donna > PS Is this your paper: > Mapping Region-Specific Longitudinal Cortical Surface Expansion from Birth > to 2 Years of Age > http://www.ncbi.nlm.nih.gov/pubmed/22923087 > If so, well done! (If not, I'm sure yours will be great, too! ;-) > On Sep 24, 2012, at 10:06 AM, gangli <lignpu at > gmail.com<http://brainvis.wustl.edu/mailman/listinfo/caret-users>> > wrote: > >* Hi Donna, > *> > * *>* I have used the TFCE method to generate some statistical meaningful > results on cortical asymmetries. Currently, we would like to investigate > more details in our subjects. > *>* Is it possible to incorporate subjects information, such as brain > volume, age and sex, into the TFCE statistical method? Thanks a lot for > your help. > *> > * *> > * *>* Regards, > *> > * *> > * *>* Gang > *>* _______________________________________________ > *>* caret-users mailing list > *>* caret-users at brainvis.wustl.edu > <http://brainvis.wustl.edu/mailman/listinfo/caret-users> *>* > http://brainvis.wustl.edu/mailman/listinfo/caret-users*
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