Dear list, I am about to start processing a largish longitudinal dataset and wondered whether I could save some processing time in the following ways:
1) I have seen written in a few places that only norm.mgz is used from the cross-sectional stream during base template creation at the next stage. Does that mean I can run "-autorecon1" only on each of the timepoints during the cross-sectional processing stage rather than "-all"? 2) As I am only interested in the subcortical output of the longitudinal processing, can I include the flags "-autorecon1 -subcortseg" in all remaining steps in the longitudinal stream to skip cortical processing, or will that cause problems? Thanks for your help, Jordan
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