Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture

Mounting evidence suggests that both α and γ motoneurons are active during movement and posture, but how does the central motor system coordinate the α-γ controls in these tasks remains sketchy due to lack of in vivo data. Here a computational model of α-γ control of muscles and spindles was used to...

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Main Authors: Si eLi, Cheng eZhuang, Manzhao eHao, Xin eHe, Juan Carlos eMarquez Ruiz, Chuanxin Minos Niu, Ning eLan
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00122/full
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spelling doaj-c02d8335b7794d38a13527a6584db9cc2020-11-24T23:42:20ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882015-10-01910.3389/fncom.2015.00122149410Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and PostureSi eLi0Cheng eZhuang1Manzhao eHao2Xin eHe3Juan Carlos eMarquez Ruiz4Juan Carlos eMarquez Ruiz5Chuanxin Minos Niu6Ning eLan7Ning eLan8Shanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityShanghai Jiao Tong UniversityRoyal Institute of TechnologyRuijin Hospital of School of MedicineShanghai Jiao Tong UniversityUniversity of Southern CaliforniaMounting evidence suggests that both α and γ motoneurons are active during movement and posture, but how does the central motor system coordinate the α-γ controls in these tasks remains sketchy due to lack of in vivo data. Here a computational model of α-γ control of muscles and spindles was used to investigate α-γ integration and coordination for movement and posture. The model comprised physiologically realistic spinal circuitry, muscles, proprioceptors, and skeletal biomechanics. In the model, we divided the cortical descending commands into static and dynamic sets, where static commands (static α and γ) were for posture maintenance and dynamic commands (dynamic α and γ) were responsible for movement. We matched our model to human reaching movement data by straightforward adjustments of descending commands derived from either minimal-jerk trajectories or human EMGs. The matched movement showed smooth reach-to-hold trajectories qualitatively close to human behaviors, and the reproduced EMGs showed the classic tri-phasic patterns. In particular, the function of dynamic γ was to gate the αd command at the propriospinal neurons (PN) such that antagonistic muscles can accelerate or decelerate the limb with proper timing. Independent control of joint position and stiffness could be achieved by adjusting static commands. Deefferentation in the model indicated that accurate static commands of static α and γ are essential to achieve stable terminal posture precisely, and that the dynamic γ command is as important as the dynamic α command in controlling antagonistic muscles for desired movements. Deafferentation in the model showed that losing proprioceptive afferents mainly affected the termination position of movement, similar to the abnormal behaviors observed in human and animals. Our results illustrated that tuning the simple forms of α-γ commands can reproduce a range of human reach-to-hold movements, and it is necessary to coordinate the set of α-γ descending commands for accurate and stable control of movement and posture.http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00122/fullcomputational modelingsimulationSpinal CircuitsPropriospinal neuronsα-γ motor systemmuscle and spindle
collection DOAJ
language English
format Article
sources DOAJ
author Si eLi
Cheng eZhuang
Manzhao eHao
Xin eHe
Juan Carlos eMarquez Ruiz
Juan Carlos eMarquez Ruiz
Chuanxin Minos Niu
Ning eLan
Ning eLan
spellingShingle Si eLi
Cheng eZhuang
Manzhao eHao
Xin eHe
Juan Carlos eMarquez Ruiz
Juan Carlos eMarquez Ruiz
Chuanxin Minos Niu
Ning eLan
Ning eLan
Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
Frontiers in Computational Neuroscience
computational modeling
simulation
Spinal Circuits
Propriospinal neurons
α-γ motor system
muscle and spindle
author_facet Si eLi
Cheng eZhuang
Manzhao eHao
Xin eHe
Juan Carlos eMarquez Ruiz
Juan Carlos eMarquez Ruiz
Chuanxin Minos Niu
Ning eLan
Ning eLan
author_sort Si eLi
title Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
title_short Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
title_full Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
title_fullStr Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
title_full_unstemmed Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
title_sort coordinated alpha and gamma control of muscles and spindles in movement and posture
publisher Frontiers Media S.A.
series Frontiers in Computational Neuroscience
issn 1662-5188
publishDate 2015-10-01
description Mounting evidence suggests that both α and γ motoneurons are active during movement and posture, but how does the central motor system coordinate the α-γ controls in these tasks remains sketchy due to lack of in vivo data. Here a computational model of α-γ control of muscles and spindles was used to investigate α-γ integration and coordination for movement and posture. The model comprised physiologically realistic spinal circuitry, muscles, proprioceptors, and skeletal biomechanics. In the model, we divided the cortical descending commands into static and dynamic sets, where static commands (static α and γ) were for posture maintenance and dynamic commands (dynamic α and γ) were responsible for movement. We matched our model to human reaching movement data by straightforward adjustments of descending commands derived from either minimal-jerk trajectories or human EMGs. The matched movement showed smooth reach-to-hold trajectories qualitatively close to human behaviors, and the reproduced EMGs showed the classic tri-phasic patterns. In particular, the function of dynamic γ was to gate the αd command at the propriospinal neurons (PN) such that antagonistic muscles can accelerate or decelerate the limb with proper timing. Independent control of joint position and stiffness could be achieved by adjusting static commands. Deefferentation in the model indicated that accurate static commands of static α and γ are essential to achieve stable terminal posture precisely, and that the dynamic γ command is as important as the dynamic α command in controlling antagonistic muscles for desired movements. Deafferentation in the model showed that losing proprioceptive afferents mainly affected the termination position of movement, similar to the abnormal behaviors observed in human and animals. Our results illustrated that tuning the simple forms of α-γ commands can reproduce a range of human reach-to-hold movements, and it is necessary to coordinate the set of α-γ descending commands for accurate and stable control of movement and posture.
topic computational modeling
simulation
Spinal Circuits
Propriospinal neurons
α-γ motor system
muscle and spindle
url http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00122/full
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