Open Gab-D-G opened 2 years ago
Voxelwise and
will produce a mask with only value 1 at every subject.
Additionally, during network modeling with dual regression, when evaluating the network amplitude/variance, it may be biased by the number of brain voxels present. So generating a commonspace mask which only includes voxels with brain coverage across >90% subjects may be a good idea for downstream analysis as well. Ideally all voxels that have an empty value in at least one sample should be ignored.
When EPI are not covering the whole brain, they may be empty voxels within the brain mask from the atlas. Should take a median across subjects at each voxel within the brain mask in commonspace to remove voxels which are empty.