Hi! I was wondering how can I run a segmentation of the cerebellum with a different strategy than the one provided by the default subcortical segmentation (which only differentiates lh and rh white and grey matter). I'm currently analyzing longitudinal data from a motor learning experiment in which the cerebellum it's very important, so I would like to have more cerebellar ROIs.

I recently found an article by Makris et al., 2003, Human Cerebellum- Surface-Assisted Cortical Parcellation and Volumetry with Magnetic Resonance Imaging, but I'm not sure if there is any implementation of this strategy. Does anyone knows how can I use it? Or if there is another segmentation strategies available?