Literature DB >> 21795616

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

Angela L Hewitt1, Laurentiu S Popa, Siavash Pasalar, Claudia M Hendrix, Timothy J Ebner.   

Abstract

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, τ, 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 τ 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.

Mesh:

Year:  2011        PMID: 21795616      PMCID: PMC3214117          DOI: 10.1152/jn.00886.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  58 in total

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Authors:  Amy J Bastian
Journal:  Curr Opin Neurobiol       Date:  2006-10-30       Impact factor: 6.627

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Authors:  Timothy J Ebner; Siavash Pasalar
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

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Authors:  P F Gilbert; W T Thach
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Journal:  J Neurophysiol       Date:  1968-09       Impact factor: 2.714

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Journal:  Science       Date:  1995-09-29       Impact factor: 47.728

10.  The changes in Purkinje cell simple spike activity following spontaneous climbing fiber inputs.

Authors:  C J McDevitt; T J Ebner; J R Bloedel
Journal:  Brain Res       Date:  1982-04-15       Impact factor: 3.252

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  40 in total

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2.  Cerebellar Control of Reach Kinematics for Endpoint Precision.

Authors:  Matthew I Becker; Abigail L Person
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3.  Changes in Purkinje cell simple spike encoding of reach kinematics during adaption to a mechanical perturbation.

Authors:  Angela L Hewitt; Laurentiu S Popa; Timothy J Ebner
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4.  Learning to Predict and Control the Physics of Our Movements.

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6.  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

Review 7.  Cerebellar physiology: links between microcircuitry properties and sensorimotor functions.

Authors:  Henrik Jörntell
Journal:  J Physiol       Date:  2016-08-31       Impact factor: 5.182

8.  Rubrocerebellar Feedback Loop Isolates the Interposed Nucleus as an Independent Processor of Corollary Discharge Information in Mice.

Authors:  Christy S Beitzel; Brenda D Houck; Samantha M Lewis; Abigail L Person
Journal:  J Neurosci       Date:  2017-09-15       Impact factor: 6.167

9.  Predicting and correcting ataxia using a model of cerebellar function.

Authors:  Nasir H Bhanpuri; Allison M Okamura; Amy J Bastian
Journal:  Brain       Date:  2014-05-08       Impact factor: 13.501

10.  Searching for an Internal Representation of Stimulus Kinematics in the Response of Ventral Paraflocculus Purkinje Cells.

Authors:  Pablo M Blazquez; GyuTae Kim; Tatyana A Yakusheva
Journal:  Cerebellum       Date:  2017-08       Impact factor: 3.847

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