Dear experts,
For an experiment containing 12 runs and 3 tasks (A, B, C) arranged in an interleaved manner (A-B-C-A-B-C-A-B-C-A-B-C), is it possible to construct a single afni_proc.py command to preprocess all 12 runs together (so that, e.g., we may have a better quality mean EPI volume) and do 3 separate 3dDeconvolve for each of the tasks?
If not, is it possible to use afni_proc.py in two steps: one for preprocessing, another for regression? How to specify the inputs for the regression afni_proc.py?
Or should I forget about afni_proc.py and simply go back to construct plain 3dDeconvolve manually?
Thanks!