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本文引用的文献

1
Review and perspective: neuromechanical considerations for predicting muscle activation patterns for movement.综述与展望:运动中肌肉激活模式预测的神经力学考虑因素。
Int J Numer Method Biomed Eng. 2012 Oct;28(10):1003-14. doi: 10.1002/cnm.2485. Epub 2012 May 16.
2
Voluntary and reactive recruitment of locomotor muscle synergies during perturbed walking.在受扰行走过程中,运动肌肉协同的自愿和反应性募集。
J Neurosci. 2012 Aug 29;32(35):12237-50. doi: 10.1523/JNEUROSCI.6344-11.2012.
3
Challenges and new approaches to proving the existence of muscle synergies of neural origin.证明神经起源的肌肉协同作用存在的挑战和新方法。
PLoS Comput Biol. 2012;8(5):e1002434. doi: 10.1371/journal.pcbi.1002434. Epub 2012 May 3.
4
Task-level feedback can explain temporal recruitment of spatially fixed muscle synergies throughout postural perturbations.任务层面的反馈可以解释在整个姿势扰动过程中,空间固定的肌肉协同作用的时间募集情况。
J Neurophysiol. 2012 Jan;107(1):159-77. doi: 10.1152/jn.00653.2011. Epub 2011 Sep 28.
5
Superposition and modulation of muscle synergies for reaching in response to a change in target location.针对目标位置的变化进行伸展时肌肉协同作用的叠加和调制。
J Neurophysiol. 2011 Dec;106(6):2796-812. doi: 10.1152/jn.00675.2010. Epub 2011 Aug 31.
6
Common muscle synergies for control of center of mass and force in nonstepping and stepping postural behaviors.非迈步和迈步姿势行为中控制质心和力的常见肌肉协同作用。
J Neurophysiol. 2011 Aug;106(2):999-1015. doi: 10.1152/jn.00549.2010. Epub 2011 Jun 8.
7
Modules in the brain stem and spinal cord underlying motor behaviors.大脑脑干和脊髓中控制运动行为的模块。
J Neurophysiol. 2011 Sep;106(3):1363-78. doi: 10.1152/jn.00842.2010. Epub 2011 Jun 8.
8
Stability in a frontal plane model of balance requires coupled changes to postural configuration and neural feedback control.平衡的额状面模型中稳定性需要姿势结构和神经反馈控制的耦合变化。
J Neurophysiol. 2011 Jul;106(1):437-48. doi: 10.1152/jn.00010.2011. Epub 2011 May 4.
9
Impulses of activation but not motor modules are preserved in the locomotion of subacute stroke patients.在亚急性中风患者的运动中,激活脉冲而不是运动模块被保留下来。
J Neurophysiol. 2011 Jul;106(1):202-10. doi: 10.1152/jn.00727.2010. Epub 2011 Apr 20.
10
Consistency of muscle synergies during pedaling across different mechanical constraints.在不同机械约束下踏蹬时肌肉协同作用的一致性。
J Neurophysiol. 2011 Jul;106(1):91-103. doi: 10.1152/jn.01096.2010. Epub 2011 Apr 13.

基于任务相关误差的感觉运动反馈可稳健地预测肌肉协同作用的时间募集和多方向调谐。

Sensorimotor feedback based on task-relevant error robustly predicts temporal recruitment and multidirectional tuning of muscle synergies.

机构信息

Neuroscience Program, Emory University, Atlanta, Georgia 30332-0535, USA.

出版信息

J Neurophysiol. 2013 Jan;109(1):31-45. doi: 10.1152/jn.00684.2012. Epub 2012 Oct 24.

DOI:10.1152/jn.00684.2012
PMID:23100133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3545166/
Abstract

We hypothesized that motor outputs are hierarchically organized such that descending temporal commands based on desired task-level goals flexibly recruit muscle synergies that specify the spatial patterns of muscle coordination that allow the task to be achieved. According to this hypothesis, it should be possible to predict the patterns of muscle synergy recruitment based on task-level goals. We demonstrated that the temporal recruitment of muscle synergies during standing balance control was robustly predicted across multiple perturbation directions based on delayed sensorimotor feedback of center of mass (CoM) kinematics (displacement, velocity, and acceleration). The modulation of a muscle synergy's recruitment amplitude across perturbation directions was predicted by the projection of CoM kinematic variables along the preferred tuning direction(s), generating cosine tuning functions. Moreover, these findings were robust in biphasic perturbations that initially imposed a perturbation in the sagittal plane and then, before sagittal balance was recovered, perturbed the body in multiple directions. Therefore, biphasic perturbations caused the initial state of the CoM to differ from the desired state, and muscle synergy recruitment was predicted based on the error between the actual and desired upright state of the CoM. These results demonstrate that that temporal motor commands to muscle synergies reflect task-relevant error as opposed to sensory inflow. The proposed hierarchical framework may represent a common principle of motor control across motor tasks and levels of the nervous system, allowing motor intentions to be transformed into motor actions.

摘要

我们假设运动输出是分层组织的,使得基于期望任务级目标的下降时间命令灵活地招募肌肉协同作用,指定肌肉协调的空间模式,从而实现任务。根据这一假设,应该有可能根据任务级目标预测肌肉协同作用的招募模式。我们证明,在基于中心质量 (CoM) 运动学(位移、速度和加速度的延迟感觉运动反馈)的多个扰动方向上,站立平衡控制期间肌肉协同作用的时间招募是稳健可预测的。肌肉协同作用在扰动方向上的募集幅度的调制是由 CoM 运动学变量沿着优选调谐方向(s)的投影预测的,产生余弦调谐函数。此外,这些发现对于双相扰动是稳健的,双相扰动最初在矢状面施加扰动,然后在恢复矢状平衡之前,以多种方向扰动身体。因此,双相扰动导致 CoM 的初始状态与期望状态不同,并且根据 CoM 的实际和期望直立状态之间的误差来预测肌肉协同作用的招募。这些结果表明,肌肉协同作用的时间运动命令反映了与任务相关的误差,而不是感觉输入。所提出的分层框架可能代表了运动任务和神经系统各级的运动控制的共同原则,允许运动意图转化为运动动作。