Thanks Steve,
indeed higher level FEAT showed a different result. We first looked at
activation within each of two conditions A and B, adding up data from 16
individuals. in condition A there was activation higher than baseline in our
ROI, but such activation was not present in condition B. However, when
condition A and B were contrasted, no significant difference between two
conditions was revealed.
Because we had an a priori region of interest we wanted to see the
difference within that specific region. So, we extracted one active cluster
that matched our a priori ROI from the earlier FEAT contrast of condition A
to create a mask using fslroi. Then voila, there was a difference as stated
in the earlier message. Would this be a legitimate and sound way of looking
at data?
Thank you very much.
Sincerely,
Yoona
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