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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 *
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