中风后上肢神经肌肉协调的普遍性及其在神经康复中的意义。

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Manuel Portilla-Jiménez, Yoon No Gregory Hong, Komal K Kukkar, Hyung-Soon Park, Sheng Li, Jinsook Roh
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引用次数: 0

摘要

背景:先前的研究表明,中风经常损害各种生物力学条件下的神经肌肉协调(即肌肉协同作用)。在我们之前的研究中,我们调查了健康个体中等距和自由动态伸展之间肌肉协同作用的普遍性。然而,中风后肌肉协同特性在多大程度上适用于这些疾病仍不清楚。方法:记录了14名慢性中风幸存者在进行等距力生成和点对点动态到达任务时,上肢8块肌肉的肌电信号,这些患者有轻重度运动障碍和8名年龄范围匹配的对照组。应用非负矩阵分解来识别每个任务背后的肌肉协同特性。结果:在两组中,肌肉激活模式都有效地重建了一小组肌肉协同作用。神经系统完整的参与者在静态和动态任务中分别获得了4个和5个肌肉协同作用。然而,中风幸存者通常需要四种肌肉协同作用来完成这两项任务。此外,尽管在中风后个体中观察到肌肉间协调模式的改变,特别是在中度和重度损伤病例中,但两组参与者的肌肉协同作用的组成在两项任务中基本上是保守的。大多数改变的,中风引起的协同模式被解释为健康个体动态到达的合并协同。两组的肌肉协同激活特征在等长运动任务和动态运动任务之间存在差异。卒中诱导的对协同激活剖面的相关性改变在动态到达中观察到,但在等长条件下没有观察到。结论:本研究为脑卒中神经康复提供了若干启示。首先,可获得的等长条件,特别是对于严重受损的中风幸存者,可以作为治疗性练习的生物力学条件,期望运动学习效果可能转移到动态条件。其次,脑卒中后合并的协同作用的分离可以成为增强运动控制的潜在康复目标。最后,动态任务可以有效地评估和干预在等长条件下可能不突出的潜在运动异常。这些结果强调了开发新的中风康复策略的重要性,这些策略旨在改善肌肉间协调特征,以增强中风后不同生物力学条件下的运动功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalizability of neuromuscular coordination in the human upper extremity after stroke and its implications in neurorehabilitation.

Background: Previous studies have shown that stroke often impairs neuromuscular coordination (i.e., muscle synergies) across various biomechanical conditions. In our previous study, we investigated the generalizability of muscle synergies between isometric and free dynamic reaching in healthy individuals. However, the extent to which muscle synergy characteristics after stroke are generalized across these conditions remains unclear.

Methods: Electromyographic signals from eight upper extremity muscles were recorded from 14 chronic stroke survivors with mild-to-severe motor impairment and eight age-range matched controls while performing isometric force generation and point-to-point dynamic reaching tasks. Non-negative matrix factorization was applied to identify muscle synergy characteristics underlying each task.

Results: In both groups, muscle activation patterns were effectively reconstructed using a small set of muscle synergies. The neurologically intact participants recruited four and five muscle synergies during the static and dynamic tasks, respectively. However, stroke survivors typically recruited four muscle synergies to perform both tasks. In addition, the composition of muscle synergies within each participant in both groups was largely conserved across the two tasks, though alterations in intermuscular coordination patterns were observed in post-stroke individuals, particularly in moderate and severe impairment cases. The majority of the altered, stroke-induced synergy patterns were explained by merging synergies underlying dynamic reaching of healthy individuals. The characteristics of muscle synergy activation profiles differed between the isometric and dynamic motor tasks in both groups. Stroke-induced alterations in correlation of pairs of synergy activation profiles were observed in dynamic reaching, but not in isometric conditions.

Conclusion: This study provides several implications to stroke neurorehabilitation. First, accessible isometric conditions, especially for severely impaired stroke survivors, can be adopted as biomechanical conditions of therapeutic exercises expecting potential transferability of motor learning effects to dynamic conditions. Second, fractionation of merged synergies after stroke can be a potential rehabilitation target to enhance motor control. Finally, dynamic tasks can be effective in assessing and intervening in potential motor abnormalities that may not be prominent during isometric conditions. These results highlight the importance of developing novel stroke rehabilitation strategies that aim at improving intermuscular coordination characteristics to enhance motor function across varying biomechanical conditions after stroke.

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来源期刊
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation 工程技术-工程:生物医学
CiteScore
9.60
自引率
3.90%
发文量
122
审稿时长
24 months
期刊介绍: Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.
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