4.4 Article

Representation of limb kinematics in Purkinje cell simple spike discharge is conserved across multiple tasks

Journal

JOURNAL OF NEUROPHYSIOLOGY
Volume 106, Issue 5, Pages 2232-2247

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.00886.2010

Keywords

movement kinematics; manual tracking; forward internal model; cerebellum

Funding

  1. National Institutes of Health [NS-18338, NS-071686, DK-70106, RR-008079, GM-008244, NS-057091]

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Hewitt AL, Popa LS, Pasalar S, Hendrix CM, Ebner TJ. Representation of limb kinematics in Purkinje cell simple spike discharge is conserved across multiple tasks. J Neurophysiol 106: 2232-2247, 2011. First published July 27, 2011; doi:10.1152/jn.00886.2010.-Encoding of movement kinematics in Purkinje cell simple spike discharge has important implications for hypotheses of cerebellar cortical function. Several outstanding questions remain regarding representation of these kinematic signals. It is uncertain whether kinematic encoding occurs in unpredictable, feedback-dependent tasks or kinematic signals are conserved across tasks. Additionally, there is a need to understand the signals encoded in the instantaneous discharge of single cells without averaging across trials or time. To address these questions, this study recorded Purkinje cell firing in monkeys trained to perform a manual random tracking task in addition to circular tracking and center-out reach. Random tracking provides for extensive coverage of kinematic workspaces. Direction and speed errors are significantly greater during random than circular tracking. Cross-correlation analyses comparing hand and target velocity profiles show that hand velocity lags target velocity during random tracking. Correlations between simple spike firing from 120 Purkinje cells and hand position, velocity, and speed were evaluated with linear regression models including a time constant, tau, as a measure of the firing lead/lag relative to the kinematic parameters. Across the population, velocity accounts for the majority of simple spike firing variability (63 +/- 30% of R(adj)(2)), followed by position (28 +/- 24% of R(adj)(2)) and speed (11 +/- 19% of R(adj)(2)). Simple spike firing often leads hand kinematics. Comparison of regression models based on averaged vs. nonaveraged firing and kinematics reveals lower R(adj)(2) values for nonaveraged data; however, regression coefficients and tau values are highly similar. Finally, for most cells, model coefficients generated from random tracking accurately estimate simple spike firing in either circular tracking or center-out reach. These findings imply that the cerebellum controls movement kinematics, consistent with a forward internal model that predicts upcoming limb kinematics.

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