Dear community,
we have data in which many subjects have no BOLD activation data in the inferior frontal part of the brain (i.e., a drop out). As a result, some of the voxels in this area get the value of zero at the second-level analysis (i.e., there is no information).
My questions are:
-
Do I understand it correctly, that even if one subject has a dropout in given voxel, this voxel is not counted at the higher level analysis? it seems like it from the mask that fsl generates…
-
If this is the case, what are the best ways to deal with it? Could these voxels be saved somehow? I used fMRIprep for preprocessing. Perhaps there is something I could do during the preprocessing stage?
Thank you very much,
Lior