The dentate nuclei (DNs) represent the main output relay of the cerebellum and yet are often unexplored especially in human studies. For the first time, we used both tractography and an unsupervised fuzzy c-means classification algorithm to identify DNs topography on the basis of their connectivity to cerebellar and cerebral areas as well as their microstructural features. Our findings indicate that DNs can be parcellated in two main areas: one predominant non-motor representation and one motor representation. Furthermore, connectivity-based and microstructure-based atlases provide complementary information. These results represent a step-forward that could help interpretating pathological conditions involving cerebro-cerebellar circuits.