Predictive modeling by the cerebellum improves proprioception

Nasir H. Bhanpuri, Allison M. Okamura, Amy J Bastian

Research output: Contribution to journalArticle

Abstract

Because sensation is delayed, real-time movement control requires not just sensing, but also predicting limb position, a function hypothesized for the cerebellum. Such cerebellar predictions could contribute to perception of limb position (i.e., proprioception), particularly when a person actively moves the limb. Here we show that human cerebellar patients have proprioceptive deficits compared with controls during active movement, but not when the arm is moved passively. Furthermore, when healthy subjects move in a force field with unpredictable dynamics, they have active proprioceptive deficits similar to cerebellar patients. Therefore, muscle activity alone is likely insufficient to enhance proprioception and predictability (i.e., an internal model of the body and environment) is important for active movement to benefit proprioception. We conclude that cerebellar patients have an active proprioceptive deficit consistent with disrupted movement prediction rather than an inability to generally enhance peripheral proprioceptive signals during action and suggest that active proprioceptive deficits should be considered a fundamental cerebellar impairment of clinical importance.

Original languageEnglish (US)
Pages (from-to)14301-14306
Number of pages6
JournalJournal of Neuroscience
Volume33
Issue number36
DOIs
StatePublished - 2013

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Proprioception
Cerebellum
Extremities
Healthy Volunteers
Arm
Muscles

ASJC Scopus subject areas

  • Neuroscience(all)

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Predictive modeling by the cerebellum improves proprioception. / Bhanpuri, Nasir H.; Okamura, Allison M.; Bastian, Amy J.

In: Journal of Neuroscience, Vol. 33, No. 36, 2013, p. 14301-14306.

Research output: Contribution to journalArticle

Bhanpuri, Nasir H. ; Okamura, Allison M. ; Bastian, Amy J. / Predictive modeling by the cerebellum improves proprioception. In: Journal of Neuroscience. 2013 ; Vol. 33, No. 36. pp. 14301-14306.
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