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Subject-Specific Muscle Synergies in Human Balance Control Are Consistent Across Different Biomechanical Contexts

机译:在不同生物力学环境中人体平衡控制中特定于对象的肌肉协同作用一致

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摘要

The musculoskeletal redundancy of the body provides multiple solutions for performing motor tasks. We have proposed that the nervous system solves this unconstrained problem through the recruitment of motor modules or functional muscle synergies that map motor intention to action. Consistent with this hypothesis, we showed that trial-by-trial variations in muscle activation for multidirectional balance control in humans were constrained by a small set of muscle synergies. However, apparent muscle synergy structures could arise from characteristic patterns of sensory input resulting from perturbations or from low-dimensional optimal motor solutions. Here we studied electromyographic (EMG) responses for balance control across a range of biomechanical contexts, which alter not only the sensory inflow generated by postural perturbations, but also the muscle activation patterns used to restore balance. Support-surface translations in 12 directions were delivered to subjects standing in six different postural configurations: one-leg, narrow, wide, very wide, crouched, and normal stance. Muscle synergies were extracted from each condition using nonnegative matrix factorization. In addition, muscle synergies from the normal stance condition were used to reconstruct muscle activation patterns across all stance conditions. A consistent set of muscle synergies were recruited by each subject across conditions. When balance demands were extremely different from the normal stance (e.g., one-legged or crouched stance), task-specific muscle synergies were recruited in addition to the preexisting ones, rather generating de novo muscle synergies. Taken together, our results suggest that muscle synergies represent consistent motor modules that map intention to action, regardless of the biomechanical context of the task.
机译:身体的肌肉骨骼冗余为执行运动任务提供了多种解决方案。我们已经提出,神经系统可以通过招募运动模块或功能性肌肉协同作用来解决这个不受约束的问题,这些运动模块或功能性肌肉协同作用可以将运动意图映射到行动。与此假设相符,我们显示了用于人的多方向平衡控制的肌肉激活的逐次试验变化受到一小组肌肉协同作用的限制。但是,明显的肌肉协同结构可能源于由摄动或低维最佳运动解决方案引起的感觉输入的特征模式。在这里,我们研究了肌电图(EMG)在一系列生物力学环境下的平衡控制,这些反应不仅改变了姿势扰动产生的感觉流入,而且改变了用于恢复平衡的肌肉激活模式。在12个方向上将支撑表面平移传递给以六种不同姿势配置站立的受试者:单腿,狭窄,宽,非常宽,蹲下和正常姿势。使用非负矩阵分解从每种条件中提取肌肉协同作用。此外,正常姿势条件下的肌肉协同作用可用于在所有姿势条件下重建肌肉激活模式。每个受试者在各种情况下都需要一组一致的肌肉协同作用。当平衡需求与正常姿势(例如单腿或蹲下的姿势)极为不同时,除了先前存在的需求外,还应征求特定任务的肌肉协同作用,而不是从头产生肌肉协同作用。综上所述,我们的结果表明,肌肉协同作用代表了一致的运动模块,可将意图映射到行动,而与任务的生物力学环境无关。

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