I think it's been mentioned on here before, but the simplest trick I found was to simply use fslmerge. You can go from a large amount of 3D img/hdr files to a single 4D nifti.gz file.
As I wrote on our dbic wiki (http://dbic.dartmouth.edu/wiki/index.php/Imaging_Data_Formats) for each run of your preprocessed data use the fslmerge command as follows: fslmerge -t swuabold1 swuabold1*.img change swuabold1 to whatever prefix is used for your files (e.g. if you don't smooth then obviously it's wuabold1... etc.) The output is swuabold1.nii.gz Compact and ready to plug into pymvpa. As it's been mentioned you can concat from the img/hdr files within python, but I found it simpler to start fresh with 4D nifti files. Makes for less files. FYI: the fsl tools are command line tools available on the Dartmouth DBIC afs system. Just type that into a terminal and you're done. No gui, no matlab.If you want to run fsl locally on your computer then use vmware and follow the instructions on the fsl website. _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
