Hi all,
I noticed in the new version of Freesurfer, you now offer the option to resample raw functional data to a standard (MNI or surface) space at the preprocessing stage (preproc-sess) as opposed to after statistical maps have been computed, but I couldn't find much documentation relevant to this change. I'm just curious -- should this method be preferred for a standard functional contrast GLM analysis? Or is it preferable to follow the old fsfast routine, analyzing in each subject's native functional space and then normalize/concatenate the outputs? It's not completely clear to me that it should make any difference whatsoever in the final product (i.e., group contrast maps), except perhaps with respect to the effects of smoothing...However, I'd be interested to hear the experts' perspectives on this.
Thanks, Tim