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在学习和运动技能提高的过程中,肌肉协同激活系数的trial-to-trial 相似性增加,时间重叠减少。

Increased trial-to-trial similarity and reduced temporal overlap of muscle synergy activation coefficients manifest during learning and with increasing movement proficiency.

机构信息

Department of Biomechanics, Kinesiology and Computer Science in Sport, Centre for Sport Science and University Sports, University of Vienna, Auf Der Schmelz 6a (USZ ||), 1150, Vienna, Austria.

Neuromechanics Research Group, Centre for Sport Science and University Sports, University of Vienna, Auf Der Schmelz 6a, 1150, Vienna, Austria.

出版信息

Sci Rep. 2024 Jul 31;14(1):17638. doi: 10.1038/s41598-024-68515-3.

Abstract

Muscle synergy analyses are used to enhance our understanding of motor control. Spatially fixed synergy weights coordinate multiple co-active muscles through activation commands, known as activation coefficients. To gain a more comprehensive understanding of motor learning, it is essential to understand how activation coefficients vary during a learning task and at different levels of movement proficiency. Participants walked on a line, a beam, and learned to walk on a tightrope-tasks that represent different levels of proficiency. Muscle synergies were extracted from electromyography signals across all conditions and the number of synergies was determined by the knee-point of the total variance accounted for (tVAF) curve. The results indicated that the tVAF of one synergy decreased with task proficiency, with the tightrope task resulting in the highest tVAF compared to the line and beam tasks. Furthermore, with increasing proficiency and after a learning process, trial-to-trial similarity increased and temporal overlap of synergy activation coefficients decreased. Consequently, we propose that precise adjustment and refinement of synergy activation coefficients play a pivotal role in motor learning.

摘要

肌肉协同作用分析被用于增强我们对运动控制的理解。空间固定协同权重通过激活命令(称为激活系数)协调多个共同活动的肌肉。为了更全面地理解运动学习,了解在学习任务中以及在不同运动熟练程度水平下激活系数如何变化至关重要。参与者在直线、横梁上行走,并学习在钢丝绳上行走——这些任务代表了不同的熟练程度水平。从所有条件下的肌电图信号中提取肌肉协同作用,并通过总方差解释(tVAF)曲线的膝点确定协同作用的数量。结果表明,一个协同作用的 tVAF 随任务熟练程度的提高而降低,与直线和横梁任务相比,钢丝绳任务的 tVAF 最高。此外,随着熟练程度的提高和学习过程的进行,试验间的相似性增加,协同作用激活系数的时间重叠减少。因此,我们提出协同作用激活系数的精确调整和细化在运动学习中起着关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94a9/11291506/70ef402b71c0/41598_2024_68515_Fig1_HTML.jpg

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