Department of Life Sciences, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Department of Physical Therapy, Tokyo University of Technology, Tokyo, Japan.
Sci Rep. 2023 Jan 21;13(1):1193. doi: 10.1038/s41598-023-28467-6.
Muscle synergy analysis is useful for investigating trunk coordination patterns based on the assumption that the central nervous system reduces the dimensionality of muscle activation to simplify movement. This study aimed to quantify the variability in trunk muscle synergy during various trunk motor tasks in healthy participants to provide reference data for evaluating trunk control strategies in patients and athletes. Sixteen healthy individuals performed 11 trunk movement and stability tasks with electromyography (EMG) recording of their spinal and abdominal muscles (6 bilaterally). Non-negative matrix factorization applied to the concatenated EMG of all tasks identified the five trunk muscle synergies (W) with their corresponding temporal patterns (C). The medians of within-cluster similarity defined by scalar products in W and r coefficient using the cross-correlation function in C were 0.73-0.86 and 0.64-0.75, respectively, while the inter-session similarities were 0.81-0.96 and 0.74-0.84, respectively. However, the lowest and highest values of both similarity indices were broad, reflecting the musculoskeletal system's redundancy within and between participants. Furthermore, the significant differences in the degree of variability between the trunk synergies may represent the different neural features of synergy organization and strategies to overcome the various mechanical demands of a motor task.
肌肉协同作用分析可用于研究基于中枢神经系统降低肌肉激活维度以简化运动的假设的躯干协调模式。本研究旨在量化健康参与者在各种躯干运动任务中躯干肌肉协同作用的可变性,为评估患者和运动员的躯干控制策略提供参考数据。16 名健康个体进行了 11 项躯干运动和稳定性任务,同时记录其脊柱和腹部肌肉的肌电图(EMG)(双侧 6 个)。应用于所有任务的 EMG 串联的非负矩阵分解确定了 5 个躯干肌肉协同作用(W)及其相应的时间模式(C)。通过 W 中的标量积和 C 中的互相关函数中的 r 系数定义的簇内相似性的中位数分别为 0.73-0.86 和 0.64-0.75,而组间相似性分别为 0.81-0.96 和 0.74-0.84。然而,这两个相似性指数的最低和最高值都很宽泛,反映了参与者内部和之间的肌肉骨骼系统的冗余性。此外,躯干协同作用之间的可变性程度的显著差异可能代表协同组织和策略的不同神经特征,以克服运动任务的各种机械需求。