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Abstract #4315

Cognitive and motor topography of human dentate nuclei identified with tractography and clustering methods

Fulvia Palesi1,2, Matteo Ferrante3, Marta Gaviraghi4, Anastasia Misiti4, Giovanni Savini5, Alessandro Lascialfari3, Egidio D'Angelo1,2, and Claudia A. M. Gandini Wheeler-Kingshott1,2,6
1Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 2Brain Connectivity Center Research Department, IRCCS Mondino Foundation, Pavia, Italy, 3Department of Physics, University of Pavia, Pavia, Italy, 4Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 5Advanced Imaging and Radiomics Center, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy, 6NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, United Kingdom

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.

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