Hello CONN users,

I have data from 16 subjects who ran through three in scanner tasks that I would like to treat independently (341 volumes each): the task in scanner was three runs of N-Back task containing 0-back, 2-back, and rest conditions within the task. For the 3 sessions, first was baseline N-Back, second they received brain stimulation during N-Back, and third is post-stimulation N-back. I want to examine ROI-to-ROI connectivity at the second level by comparing the second session (N-Back during active stimulation) looking at 2-Back over 0-Back with the first session (baseline N-Back, 2-back over 0-back) and the third session (post-stimulation N-Back, 2- over 0-back). Is there a way to do this in CONN without having to process the 3 sessions in different experiments, as if the data were acquired from different subjects?

Additionally, this was a within-group design, and I have 3 sessions of data for the same subjects that were acquired at a separate visit. They only difference is they received sham instead of active stimulation during the second N-Back run. Would I be able to run the 6 sessions in one experiment to examine ROI-to-ROI connectivity differences in the sham stimulation N-Back run with the active stimulation run?

Any help on how the best way to set up the experiment in CONN would be greatly appreciated.

Best regards,
Nicole