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Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles

Proprioceptive afferents from muscle spindles encode information about peripheral joint movements for the central nervous system (CNS). The sensitivity of muscle spindle is nonlinearly dependent on the activation of gamma (γ) motoneurons in the spinal cord that receives inputs from the motor cortex....

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Autores principales: Lan, Ning, He, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431011/
https://www.ncbi.nlm.nih.gov/pubmed/22969720
http://dx.doi.org/10.3389/fncom.2012.00066
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author Lan, Ning
He, Xin
author_facet Lan, Ning
He, Xin
author_sort Lan, Ning
collection PubMed
description Proprioceptive afferents from muscle spindles encode information about peripheral joint movements for the central nervous system (CNS). The sensitivity of muscle spindle is nonlinearly dependent on the activation of gamma (γ) motoneurons in the spinal cord that receives inputs from the motor cortex. How fusimotor control of spindle sensitivity affects proprioceptive coding of joint position is not clear. Furthermore, what information is carried in the fusimotor signal from the motor cortex to the muscle spindle is largely unknown. In this study, we addressed the issue of communication between the central and peripheral sensorimotor systems using a computational approach based on the virtual arm (VA) model. In simulation experiments within the operational range of joint movements, the gamma static commands (γ(s)) to the spindles of both mono-articular and bi-articular muscles were hypothesized (1) to remain constant, (2) to be modulated with joint angles linearly, and (3) to be modulated with joint angles nonlinearly. Simulation results revealed a nonlinear landscape of Ia afferent with respect to both γ(s) activation and joint angle. Among the three hypotheses, the constant and linear strategies did not yield Ia responses that matched the experimental data, and therefore, were rejected as plausible strategies of spindle sensitivity control. However, if γ(s) commands were quadratically modulated with joint angles, a robust linear relation between Ia afferents and joint angles could be obtained in both mono-articular and bi-articular muscles. With the quadratic strategy of spindle sensitivity control, γ(s) commands may serve as the CNS outputs that inform the periphery of central coding of joint angles. The results suggest that the information of joint angles may be communicated between the CNS and muscles via the descending γ(s) efferent and Ia afferent signals.
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spelling pubmed-34310112012-09-11 Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles Lan, Ning He, Xin Front Comput Neurosci Neuroscience Proprioceptive afferents from muscle spindles encode information about peripheral joint movements for the central nervous system (CNS). The sensitivity of muscle spindle is nonlinearly dependent on the activation of gamma (γ) motoneurons in the spinal cord that receives inputs from the motor cortex. How fusimotor control of spindle sensitivity affects proprioceptive coding of joint position is not clear. Furthermore, what information is carried in the fusimotor signal from the motor cortex to the muscle spindle is largely unknown. In this study, we addressed the issue of communication between the central and peripheral sensorimotor systems using a computational approach based on the virtual arm (VA) model. In simulation experiments within the operational range of joint movements, the gamma static commands (γ(s)) to the spindles of both mono-articular and bi-articular muscles were hypothesized (1) to remain constant, (2) to be modulated with joint angles linearly, and (3) to be modulated with joint angles nonlinearly. Simulation results revealed a nonlinear landscape of Ia afferent with respect to both γ(s) activation and joint angle. Among the three hypotheses, the constant and linear strategies did not yield Ia responses that matched the experimental data, and therefore, were rejected as plausible strategies of spindle sensitivity control. However, if γ(s) commands were quadratically modulated with joint angles, a robust linear relation between Ia afferents and joint angles could be obtained in both mono-articular and bi-articular muscles. With the quadratic strategy of spindle sensitivity control, γ(s) commands may serve as the CNS outputs that inform the periphery of central coding of joint angles. The results suggest that the information of joint angles may be communicated between the CNS and muscles via the descending γ(s) efferent and Ia afferent signals. Frontiers Media S.A. 2012-08-30 /pmc/articles/PMC3431011/ /pubmed/22969720 http://dx.doi.org/10.3389/fncom.2012.00066 Text en Copyright © 2012 Lan and He. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Lan, Ning
He, Xin
Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
title Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
title_full Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
title_fullStr Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
title_full_unstemmed Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
title_short Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
title_sort fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431011/
https://www.ncbi.nlm.nih.gov/pubmed/22969720
http://dx.doi.org/10.3389/fncom.2012.00066
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