Hi-

I would agree that a single coordinate is often not enough for really summarizing a cluster accurately. We make the case here:
https://www.biorxiv.org/content/10.1101/2022.10.26.513929v2
... that the whereami functionality of looking for overlaps with an ROI atlas is a much more informative way to go. See in particular the discussion starting on page 17 of that draft ("One additional aspect is worth noting..."), comparing the relative information content of Tables 1 and 2.

For example, to get the list of ROIs that overlap with each region in the Clust_mask+tlrc dataset in the Glasser MNI atlas, you could use:

whereami                                          \
            -omask Clust_mask+tlrc.HEAD                \
            -atlas MNI_Glasser_HCP_v1.0

You could also do that ROI-by-ROI, e.g., for the ROI with integer value 4 in your cluster mask:

whereami                                          \
            -omask Clust_mask+tlrc.HEAD"<4>"                \
            -atlas MNI_Glasser_HCP_v1.0

--pt