Thanks Anderson!
Good to confirm the 1st design is the valid one, as the effect sizes are larger :)
However is there a way to manipulate the 2nd design to replicate the results from the 1st? I would like to add voxel-wise regressors for individual subjects (in a particular voxel, 1 for one subject's inputs and 0 for all other inputs). With the first design, this is the same exact EV as the subject-mean EV, so the matrix is rank deficient.
I thought that the subject means would have already been removed in the 2nd design, because the final input COPES are all contrasts between two repeated measures (like A-B).
Thanks again,
Max
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