Hi, For sure there is a better approach, but I also had the same issue. What I ended up doing is pretending that each beta map was a volume of a raw fMRI acquisition. So I calculated the beta maps and then used the FSL command fslmerge to concatenate every beta map to analyze. Then I put the resulting 4D in a folder following the structure required for PyMVPA and loaded the file as if it were a raw fMRI. Then proceeded with my searchlight script just skipping the preprocessing.
Regards, Raul On Thu, May 23, 2019 at 10:09 PM Alireza Karami <alireza...@gmail.com> wrote: > Hi > > I have a dataset of an fMRI experiment and I have preprocessed the data > and done first level analysis. Now, I want to do searchlight SVM on the *beta > values* like the demo fmri searchlight lda > <http://www.cosmomvpa.org/matlab/demo_fmri_searchlight_lda.html> [1] in > CoSMoMVPA. I want to do this with PyMVPA. I know how to do searchlight SVM > on raw fMRI data in PyMVPA > <http://www.pymvpa.org/examples/searchlight.html> [2] but I do not know > how to import beta values as a dataset in PyMVPA and do searchlight SVM on > them. > Would someone help me to do this? > > [1] http://www.cosmomvpa.org/matlab/demo_fmri_searchlight_lda.html > [2] http://www.pymvpa.org/examples/searchlight.html > > Thanks > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > Pkg-ExpPsy-PyMVPA@alioth-lists.debian.net > https://alioth-lists.debian.net/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
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