Hello,

That looks reasonable, though using an uncorrected p=0.01
might be a little high to be accepted these days.

As for the group mask, that is probably identical across
subjects, as it is simply a mask from the group template.
If you want a tighter mask, consider making it from the
EPI datasets (full_mask*). For example, one could make a
dataset which has coverage at each voxel by at least 70%
of the subjects:

3dmask_tool -input full_mask.*+tlrc.HEAD -prefix mask_overlap.7 -frac 0.7


Computing minimum cluster sizes via the average blur_est.1D
values allows you to use that size across all group tests.

- rick