Literature DB >> 21203875

What features of limb movements are encoded in the discharge of cerebellar neurons?

Timothy J Ebner1, Angela L Hewitt, Laurentiu S Popa.   

Abstract

This review examines the signals encoded in the discharge of cerebellar neurons during voluntary arm and hand movements, assessing the state of our knowledge and the implications for hypotheses of cerebellar function. The evidence for the representation of forces, joint torques, or muscle activity in the discharge of cerebellar neurons is limited, questioning the validity of theories that the cerebellum directly encodes the motor command. In contrast, kinematic parameters such as position, direction, and velocity are widely and robustly encoded in the activity of cerebellar neurons. These findings favor hypotheses that the cerebellum plans or controls movements in a kinematic framework, such as the proposal that the cerebellum provides a forward internal model. Error signals are needed for on-line correction and motor learning, and several hypotheses postulate the need for their representations in the cerebellum. Error signals have been described mostly in the complex spike discharge of Purkinje cells, but no consensus has emerged on the exact information signaled by complex spikes during limb movements. Newer studies suggest that simple spike firing may also encode error signals. Finally, Purkinje cells located more posterior and laterally in the cerebellar cortex and dentate neurons encode nonmotor, task-related signals such as visual cues. These results suggest that cerebellar neurons provide a complement of information about motor behaviors. We assert that additional single unit studies are needed using rich movement paradigms, given the power of this approach to directly test specific hypotheses about cerebellar function.

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Year:  2011        PMID: 21203875      PMCID: PMC3711690          DOI: 10.1007/s12311-010-0243-0

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  137 in total

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Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

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  35 in total

Review 1.  Are we ready for a natural history of motor learning?

Authors:  Lior Shmuelof; John W Krakauer
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

2.  Temporally specific sensory signals for the detection of stimulus omission in the primate deep cerebellar nuclei.

Authors:  Shogo Ohmae; Akiko Uematsu; Masaki Tanaka
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Review 4.  The multiple roles of Purkinje cells in sensori-motor calibration: to predict, teach and command.

Authors:  Javier F Medina
Journal:  Curr Opin Neurobiol       Date:  2011-06-16       Impact factor: 6.627

5.  Purkinje cell simple spike discharge encodes error signals consistent with a forward internal model.

Authors:  Laurentiu S Popa; Angela L Hewitt; Timothy J Ebner
Journal:  Cerebellum       Date:  2013-06       Impact factor: 3.847

6.  Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum.

Authors:  Naveen Sendhilnathan; Mulugeta Semework; Michael E Goldberg; Anna E Ipata
Journal:  Neuron       Date:  2020-01-27       Impact factor: 17.173

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Authors:  Jennifer L Raymond; Javier F Medina
Journal:  Annu Rev Neurosci       Date:  2018-07-08       Impact factor: 12.449

8.  Cerebellar Prediction of the Dynamic Sensory Consequences of Gravity.

Authors:  Isabelle Mackrous; Jerome Carriot; Mohsen Jamali; Kathleen E Cullen
Journal:  Curr Biol       Date:  2019-08-01       Impact factor: 10.834

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Authors:  Vikram G Shakkottai
Journal:  Cerebellum       Date:  2014-10       Impact factor: 3.847

10.  Cerebellar damage diminishes long-latency responses to multijoint perturbations.

Authors:  Isaac Kurtzer; Paxson Trautman; Russell J Rasquinha; Nasir H Bhanpuri; Stephen H Scott; Amy J Bastian
Journal:  J Neurophysiol       Date:  2013-02-06       Impact factor: 2.714

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