I understand that --stim_times_IM will give beta value for each stimulus trial. But what if I want beta for each condition per run and do a leave-one-run-out cross-validation? Let’s say I have 6 runs scanning, in each run, I have 5 categories with 12 exemplars each, 60 stimuli in total. What if I want to get beta values of the 5 category in each run, instead of 60 betas in each run. Is there anyway to do that with afni_proc.py?