Hi-
This could be handled by scripting over each subject, where their input file is handled individually.
However, normally clusterizing with smoothing parameters is run on the group level, not the individual... For a given set of subjects on the same scanner/setup, then parameter values in the *1D file tend to be similar-- we just average across those, and apply that to the group level mask, say. An example of this is shown here:
[
afni.nimh.nih.gov]
--pt