Thanks Rick!

I'm not 100 % sure how to do this practically though. If we have:

Subject1:
CondA: 10*2 30*4 50*1
CondB: 20*8 40*7 60*9
Subject12
CondA: 10*1 30*2 50*2
CondB: 20*9 40*8 60*9

First off, we want to find the regions (where bold is modulated by / following the ratings) where the modulated CondA and CondB are different. So to the very least we want to center the modulators across conditions in each subject. In Subject 1 we have the modulators
A: 2,4,1 and B: 8,7,9. AVG = 5.17.
New Centering:
A: -3.17, -1.17, -4.17 B: 2.83, 1.83, 3.83
Would this be how to do it? Then
3dDeconvolve -DAFNI_3dDeconvolve_rawAM2=YES ... as a part of the command.

Asssuming that is corect: Would it be the same way if you have 4 conditions that are modulated, which we do?

Also. When it comes to across subject centering. How would that work? Will there be one large mean across all subjects and conditions? Is this a reccomended approach? Or was your point that it is not necessary if you add the subject mean as a covariate?

Thanks!



Edited 2 time(s). Last edit at 10/16/2017 03:56AM by Robin.