Zhang Na, Wei Na, Li Ke
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3788-3791. doi: 10.1109/EMBC44109.2020.9175993.
Muscle synergistic contraction to produce force has been recognized as an important neurophysiological mechanism in neuromuscular system. Despite a range of approaches, such as nonnegative matrix factorization or principal component analysis that have been widely used, limitations still exist in analysis of dynamic coordination of multiple muscles. In addition, it is still less studied about the potential difference of muscle dynamic coordination at different force levels during grip and pinch within the same framework. With this aim, this study analyzed the dynamic coordination of multiple upper-limb muscles at low, medium and high force levels during pinch and grip with multiplex recurrence network (MRN). Twenty-four healthy subjects participated in the experiment. Subjects were instructed to grip an apparatus to match the target force as stably as they could for 10 s. Surface electromyographic (sEMG) signals were recorded from 8 upper-limb muscles and analyzed by the MRN. The interlayer mutual information (I) and the average edge overlap (ω) of MRNs were calculated to quantify muscle correlation and muscle synchronization, respectively. Results showed that I and ω values of extrinsic muscles' MRNs during grip were significantly higher than that during grip at medium and high force. Furthermore, the I and ω values of extrinsic muscle networks during grip increased with augmented force levels. No significant changes were found for the intrinsic muscles with force output levels. These findings indicate that the muscles coordination patterns between grip and pinch were different and higher co-contraction of extrinsic muscles is favorable to synergistic force production. With the force output increased, muscles' coordination was augmented in extrinsic muscles, but no change in intrinsic muscles because of independent and complicated control of fingers. This study provides an analytical tool for dynamic muscles coordination and provides insights into the mechanisms of synergistic control of muscle contractions for force production.Clinical Relevance-This study provides a novel analytical tool for muscle coordination during force production, which may facilitate the evaluation of neuromuscular function or serve as indicators for neuromuscular disorders.
肌肉协同收缩以产生力量已被公认为神经肌肉系统中的一种重要神经生理机制。尽管有一系列方法,如已被广泛使用的非负矩阵分解或主成分分析,但在分析多块肌肉的动态协调性方面仍然存在局限性。此外,在同一框架内,关于抓握和捏取过程中不同力水平下肌肉动态协调性的潜在差异的研究仍然较少。出于这个目的,本研究使用多重递归网络(MRN)分析了在低、中、高力水平下捏取和抓握过程中多块上肢肌肉的动态协调性。24名健康受试者参与了实验。受试者被要求尽可能稳定地握住一个装置以匹配目标力,持续10秒。从8块上肢肌肉记录表面肌电(sEMG)信号,并通过MRN进行分析。计算MRN的层间互信息(I)和平均边重叠(ω),分别用于量化肌肉相关性和肌肉同步性。结果表明,抓握过程中外侧肌肉的MRN的I和ω值显著高于中等和高力水平下的抓握。此外,抓握过程中外侧肌肉网络的I和ω值随着力水平的增加而增加。对于固有肌肉,未发现其力输出水平有显著变化。这些发现表明,抓握和捏取之间的肌肉协调模式不同,外侧肌肉更高的共同收缩有利于协同产生力量。随着力输出增加,外侧肌肉的协调性增强,但固有肌肉没有变化,因为手指的控制是独立且复杂的。本研究为动态肌肉协调提供了一种分析工具,并深入了解了肌肉收缩协同控制以产生力量的机制。临床相关性——本研究为力量产生过程中的肌肉协调提供了一种新颖的分析工具,这可能有助于评估神经肌肉功能或作为神经肌肉疾病的指标。