Hello,
I have an event related study that has 6 experimental conditions a lot
of control conditions. For analyzing it, i just modeled the 6
experimental conditions and the rest period (i.e fixation) and ignored
the control conditions (for now).
My question is about calculating %signal change for the 6 experimental
copes (each cope is one experimental condition minus fixation).
Specifically, i am wondering how i should calculate the baseline to get
the %signal change relative to fixation. I suspect that I cannot use
filtered_func_data as baseline, because it includes all the control
conditions that i have not modeled. A possible solution may be to
concatenate all the fixation periods of a subject into one volume, and
then divide the copes by this new volume and then multiply by 100 to get
the %signal change. Is this correct?
thank you very much for any help,
paymon
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