适应握力动态变化的神经肌肉反应。

IF 4.8 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Bowen Xiao;Limeng Liu;Lin Chen;Xing Wang;Xin Zhang;Xiaoyu Liu;Wensheng Hou;Xiaoying Wu
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引用次数: 0

摘要

精确控制力量对上肢功能康复具有重要意义。了解力量调节过程中的神经肌肉反应有助于优化康复处方,促进恢复控制的相对训练过程。本研究旨在探究动态手部力量调节过程中神经-肌肉活动的固有特征。通过操纵不同的力量变化幅度和速度,设置了四种动态握力跟踪模式,13 名健康的年轻人参与了实验。实验记录了对侧感觉运动皮层区的脑电图,并同步采集了第一背侧骨间肌的肌电图。用事件相关不同步、肌电图稳定性指数和力量变化指标分别代表相应的大脑皮层神经反应、肌肉收缩活动和力量调节水平,并通过传递熵分析进一步研究了感觉运动皮层和第一背侧骨间肌之间的神经-肌肉耦合。结果表明,力量调节需求的增加会导致力量变化的增加以及肌肉运动单位输出稳定性的降低。同时,神经反应强度在 α 和 β 频段都有所增加。随着力量调节需求的增加,双向传递熵的强度明显从 β 频段转移到 γ 频段,这有利于动态力量补偿的快速整合,以适应运动任务的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neuro-Muscular Responses Adaptation to Dynamic Changes in Grip Strength
Precise control of strength is of significant importance in upper limb functional rehabilitation. Understanding the neuro-muscular response in strength regulation can help optimize the rehabilitation prescriptions and facilitate the relative training process for recovery control. This study aimed to investigate the inherent characteristics of neural-muscular activity during dynamic hand strength adjustment. Four dynamic grip force tracking modes were set by manipulating different magnitude and speed of force variations, and thirteen healthy young individuals took participation in the experiment. Electroencephalography were recorded in the contralateral sensorimotor cortex area, as well as the electromyography from the first dorsal interosseous muscle were collected synchronously. The metrics of the Event-related desynchronization, the electromyography stability index, and the force variation, were used to represent the corresponding cortical neural responses, muscle contraction activities, and the level of strength regulation, respectively; and further neuro-muscular coupling between the sensorimotor cortex and the first dorsal interosseous muscle was investigated by transfer entropy analysis. The results indicated a strong relationship that the increase of force regulation demand would result in a force variation increase as well as a stability reduction in muscle motor unit output. Meanwhile, the intensity of neural response increased in both the $\alpha $ and $\beta $ frequency bands. As the force regulation demand increased, the strength of bidirectional transfer entropy showed a clear shift from $\beta $ to the $\gamma $ frequency band, which facilitate rapid integration of dynamic strength compensation to adapt to motor task changes.
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来源期刊
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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