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