4.7 Article

Motor and higher-order functions topography of the human dentate nuclei identified with tractography and clustering methods

期刊

HUMAN BRAIN MAPPING
卷 42, 期 13, 页码 4348-4361

出版社

WILEY
DOI: 10.1002/hbm.25551

关键词

cerebellum; connectivity; dentate nuclei; diffusion imaging; microstructure; MRI; thalamus; tractography

资金

  1. Horizon 2020 Framework Programme [634541, 785907, 945539]
  2. Medical Research Council [MR/S026088/1]
  3. Multiple Sclerosis Society [77]
  4. UCLH Biomedical Research Centre [BRC704/CAP/CGW]
  5. Wings for Life [169111]
  6. McDonnell Center for Systems Neuroscience
  7. NIH Blueprint for Neuroscience Research

向作者/读者索取更多资源

This study identified the topography of human dentate nuclei using multimodal MRI approaches, defining motor and higher-order function regions. Results showed that over half of the dentate nuclei volume is involved in non-motor functions, with connectivity-based and microstructure-based atlases providing complementary information.
Deep gray matter nuclei are the synaptic relays, responsible to route signals between specific brain areas. Dentate nuclei (DNs) represent the main output channel of the cerebellum and yet are often unexplored especially in humans. We developed a multimodal MRI approach to identify DNs topography on the basis of their connectivity as well as their microstructural features. Based on results, we defined DN parcellations deputed to motor and to higher-order functions in humans in vivo. Whole-brain probabilistic tractography was performed on 25 healthy subjects from the Human Connectome Project to infer DN parcellations based on their connectivity with either the cerebral or the cerebellar cortex, in turn. A third DN atlas was created inputting microstructural diffusion-derived metrics in an unsupervised fuzzy c-means classification algorithm. All analyses were performed in native space, with probability atlas maps generated in standard space. Cerebellar lobule-specific connectivity identified one motor parcellation, accounting for about 30% of the DN volume, and two non-motor parcellations, one cognitive and one sensory, which occupied the remaining volume. The other two approaches provided overlapping results in terms of geometrical distribution with those identified with cerebellar lobule-specific connectivity, although with some differences in volumes. A gender effect was observed with respect to motor areas and higher-order function representations. This is the first study that indicates that more than half of the DN volumes is involved in non-motor functions and that connectivity-based and microstructure-based atlases provide complementary information. These results represent a step-ahead for the interpretation of pathological conditions involving cerebro-cerebellar circuits.

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