On Fri, 24 May 2019, Alireza Karami 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 [1] in CoSMoMVPA. I want to > do this with PyMVPA. I know how to do searchlight SVM on raw fMRI data in
you probably never want to do searchlight SVM on truly "raw" data -- at least motion correction etc should be done ;) > PyMVPA [2] but I do not know how to import beta values as a dataset in > PyMVPA and do searchlight SVM on them. nothing should change for your code -- just load from your .nii.gz with beta values (the same fmri_dataset, can give it a list of filenames with betas), assign targets/chunks, might want to do zscoring or not depending on how many categories and total # of betas etc, and do whatever you were doing on "raw" data. -- Yaroslav O. Halchenko Center for Open Neuroscience http://centerforopenneuroscience.org Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 WWW: http://www.linkedin.com/in/yarik _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list Pkg-ExpPsy-PyMVPA@alioth-lists.debian.net https://alioth-lists.debian.net/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa