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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?

*Thanks in advance.*

* Álvaro Deleglise *