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空间和时间肌肉协同作用为上肢运动的低维和间歇性控制提供了双重描述。

Spatial and Temporal Muscle Synergies Provide a Dual Characterization of Low-dimensional and Intermittent Control of Upper-limb Movements.

机构信息

Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing (STIIMA), Italian Council of National Research (CNR), Lecco, Italy.

Information Systems Institute, University of Applied Sciences Western Switzerland (HES-SO Valais), CH-3960 Sierre, Switzerland; Department of Neuroscience, University of Padova, via Belzoni 160, 35121 Padova, Italy.

出版信息

Neuroscience. 2023 Mar 15;514:100-122. doi: 10.1016/j.neuroscience.2023.01.017. Epub 2023 Jan 26.

Abstract

Muscle synergy analysis investigates the neurophysiological mechanisms that the central nervous system employs to coordinate muscles. Several models have been developed to decompose electromyographic (EMG) signals into spatial and temporal synergies. However, using multiple approaches can complicate the interpretation of results. Spatial synergies represent invariant muscle weights modulated with variant temporal coefficients; temporal synergies are invariant temporal profiles that coordinate variant muscle weights. While non-negative matrix factorization allows to extract both spatial and temporal synergies, the comparison between the two approaches was rarely investigated targeting a large set of multi-joint upper-limb movements. Spatial and temporal synergies were extracted from two datasets with proximal (16 subjects, 10M, 6F) and distal upper-limb movements (30 subjects, 21M, 9F), focusing on their differences in reconstruction accuracy and inter-individual variability. We showed the existence of both spatial and temporal structure in the EMG data, comparing synergies with those from a surrogate dataset in which the phases were shuffled preserving the frequency content of the original data. The two models provide a compact characterization of motor coordination at the spatial or temporal level, respectively. However, a lower number of temporal synergies are needed to achieve the same reconstruction R: spatial and temporal synergies may capture different hierarchical levels of motor control and are dual approaches to the characterization of low-dimensional coordination of the upper-limb. Last, a detailed characterization of the structure of the temporal synergies suggested that they can be related to intermittent control of the movement, allowing high flexibility and dexterity. These results improve neurophysiology understanding in several fields such as motor control, rehabilitation, and prosthetics.

摘要

肌肉协同作用分析研究了中枢神经系统用来协调肌肉的神经生理机制。已经开发了几种模型来将肌电图 (EMG) 信号分解为空间和时间协同作用。然而,使用多种方法可能会使结果的解释复杂化。空间协同作用表示以变化的时间系数调制的不变肌肉权重;时间协同作用是不变的时间分布,协调变化的肌肉权重。虽然非负矩阵分解允许提取空间和时间协同作用,但很少针对多关节上肢运动的大样本集来比较这两种方法。从具有近端(16 名受试者,10 名男性,6 名女性)和远端上肢运动(30 名受试者,21 名男性,9 名女性)的两个数据集提取了空间和时间协同作用,重点关注它们在重建准确性和个体间变异性方面的差异。我们通过比较与保留原始数据频率内容的相位随机化的替代数据集的协同作用,证明了 EMG 数据中存在空间和时间结构。两种模型分别在空间或时间水平上提供了运动协调的紧凑描述。然而,需要更少的时间协同作用来达到相同的重建 R:空间和时间协同作用可能捕获运动控制的不同层次,并且是上肢低维协调的特征的双重方法。最后,对时间协同作用结构的详细描述表明,它们可能与运动的间歇性控制有关,允许高度的灵活性和灵巧性。这些结果提高了运动控制、康复和假肢等多个领域的神经生理学理解。

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