First-level modeling in NiLearn, Conditions come from Different Runs

[Steven]

@bthirion

@bthirion

Note sure what you want to do, but indeed there is the possibility to handle all you data as if it were one single session by creating a large block-diagonal design matrix, in which each block is the design matrix for one sessions.

It seems like in this thread you note the possibility of making a diagonal design matrix, or alternatively a fixed effect model, as in the tutorial here.

1. If I do the diagonal design matrix, did I set it up correctly in the picture above? Since the first two blocks are the same size and have the same regressor names can I just vertically stack them?
2. If I do the fixed effect model, should the effect I use for a given session be for A > Baseline or B > Baseline, or can I use just the effect of A/B?

Thanks,
Steven