title: Convergence of cerebral inputs onto dentate neurons in monkey.
abstract: The patterns of convergence of inputs from different areas of the cerebral cortex and the peripheral nerves onto single dentate neurons was studied in cebus monkeys. Dentate neurons receive their strongest and most numerous inputs from the premotor and supplementary motor regions of area 6. The sensorimotor and frontal cortices have weaker projections to the dentate nucleus, while peripheral nerves and many other association cortical areas were found to be effective in influencing cells of the lateral cerebellum. Dentate cells that respond to stimulation of hindlimb regions of the sensorimotor cortex tend to receive their principal input from the supplementary motor area and medial premotor regions, while neurons responding to forelimb sensorimotor cortex tend to receive lateral premotor inputs. In addition there is a topographical organization within the ventral pole of dentate with the hindlimb represented in the anterior regions and the forelimb in the posterior regions. These results are compared with those of similar studies of interpositus and dentate neurons in cat and monkey. The differences between the afferent inputs to dentate and interpositus are consistent with the suggestion that the lateral cerebellum is involved in programming movement parameters before movement initiation while the intermediate zone is involved in up-dating the evolving movement.
mesh_terms: D000818:Animals; D002529:Cerebellar Nuclei / Q000502:physiology*; D002531:Cerebellum / Q000502:physiology; D002540:Cerebral Cortex / Q000502:physiology*; D005552:Forelimb / Q000294:innervation; D005625:Frontal Lobe / Q000502:physiology; D000882:Haplorhini; D006614:Hindlimb / Q000294:innervation; D009044:Motor Cortex / Q000502:physiology; D009433:Neural Inhibition; D009474:Neurons / Q000502:physiology; D010525:Peripheral Nerves / Q000502:physiology; D013003:Somatosensory Cortex / Q000502:physiology; D009435:Synaptic Transmission; D013702:Temporal Lobe / Q000502:physiology