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Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients

Goal-directed movements are predictive and multimodal in nature, especially for moving targets. For instance, during a reaching movement for a moving target, humans need to predict both motion of the target and movement of the limb. Recent computational studies show that the cerebellum predicts curr...

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Autores principales: Kakei, Shinji, Lee, Jongho, Mitoma, Hiroshi, Tanaka, Hirokazu, Manto, Mario, Hampe, Christiane S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6608258/
https://www.ncbi.nlm.nih.gov/pubmed/31297053
http://dx.doi.org/10.3389/fnhum.2019.00216
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author Kakei, Shinji
Lee, Jongho
Mitoma, Hiroshi
Tanaka, Hirokazu
Manto, Mario
Hampe, Christiane S.
author_facet Kakei, Shinji
Lee, Jongho
Mitoma, Hiroshi
Tanaka, Hirokazu
Manto, Mario
Hampe, Christiane S.
author_sort Kakei, Shinji
collection PubMed
description Goal-directed movements are predictive and multimodal in nature, especially for moving targets. For instance, during a reaching movement for a moving target, humans need to predict both motion of the target and movement of the limb. Recent computational studies show that the cerebellum predicts current and future states of the body and its environment using internal forward models. Sensory feedback signals from the periphery have delays in reaching the central nervous system, ranging between tens to hundreds of milliseconds. It is well known in engineering that feedback control based on time-delayed inputs can result in oscillatory and often unstable movements. In contrast, the brain predicts a current state from a previous state using forward models. This predictive mechanism most likely underpins stable and dexterous control of reaching movements. Although the cerebro-cerebellum has long been suggested as loci of various forward models, few methods are available to evaluate accuracy of the forward models in patients with cerebellar ataxia. Recently, we developed a non-invasive method to analyze receipt of motor commands in terms of movement kinematics for the wrist joint (B(r)/K(r) ratio). In the present study, we have identified two components (F1 and F2) of the smooth pursuit movement. We found that the two components were in different control modes with different B(r)/K(r) ratios. The major F1 component in a lower frequency range encodes both velocity and position of the moving target (higher B(r)/K(r) ratio) to synchronize movement of the wrist joint with motion of the target in a predictive manner. The minor F2 component in a higher frequency range is biased to position control in order to generate intermittent small step-wise movements. In cerebellar patients, the F1 component shows a selective decrease in the B(r)/K(r) ratio, which is correlated with decrease in accuracy of the pursuit movement. We conclude that the B(r)/K(r) ratio of the F1 component provides a unique parameter to evaluate accuracy of the predictive control. We also discuss the pathophysiological and clinical implications for clinical ataxiology.
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spelling pubmed-66082582019-07-11 Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients Kakei, Shinji Lee, Jongho Mitoma, Hiroshi Tanaka, Hirokazu Manto, Mario Hampe, Christiane S. Front Hum Neurosci Neuroscience Goal-directed movements are predictive and multimodal in nature, especially for moving targets. For instance, during a reaching movement for a moving target, humans need to predict both motion of the target and movement of the limb. Recent computational studies show that the cerebellum predicts current and future states of the body and its environment using internal forward models. Sensory feedback signals from the periphery have delays in reaching the central nervous system, ranging between tens to hundreds of milliseconds. It is well known in engineering that feedback control based on time-delayed inputs can result in oscillatory and often unstable movements. In contrast, the brain predicts a current state from a previous state using forward models. This predictive mechanism most likely underpins stable and dexterous control of reaching movements. Although the cerebro-cerebellum has long been suggested as loci of various forward models, few methods are available to evaluate accuracy of the forward models in patients with cerebellar ataxia. Recently, we developed a non-invasive method to analyze receipt of motor commands in terms of movement kinematics for the wrist joint (B(r)/K(r) ratio). In the present study, we have identified two components (F1 and F2) of the smooth pursuit movement. We found that the two components were in different control modes with different B(r)/K(r) ratios. The major F1 component in a lower frequency range encodes both velocity and position of the moving target (higher B(r)/K(r) ratio) to synchronize movement of the wrist joint with motion of the target in a predictive manner. The minor F2 component in a higher frequency range is biased to position control in order to generate intermittent small step-wise movements. In cerebellar patients, the F1 component shows a selective decrease in the B(r)/K(r) ratio, which is correlated with decrease in accuracy of the pursuit movement. We conclude that the B(r)/K(r) ratio of the F1 component provides a unique parameter to evaluate accuracy of the predictive control. We also discuss the pathophysiological and clinical implications for clinical ataxiology. Frontiers Media S.A. 2019-06-26 /pmc/articles/PMC6608258/ /pubmed/31297053 http://dx.doi.org/10.3389/fnhum.2019.00216 Text en Copyright © 2019 Kakei, Lee, Mitoma, Tanaka, Manto and Hampe. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kakei, Shinji
Lee, Jongho
Mitoma, Hiroshi
Tanaka, Hirokazu
Manto, Mario
Hampe, Christiane S.
Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients
title Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients
title_full Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients
title_fullStr Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients
title_full_unstemmed Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients
title_short Contribution of the Cerebellum to Predictive Motor Control and Its Evaluation in Ataxic Patients
title_sort contribution of the cerebellum to predictive motor control and its evaluation in ataxic patients
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6608258/
https://www.ncbi.nlm.nih.gov/pubmed/31297053
http://dx.doi.org/10.3389/fnhum.2019.00216
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