1 National Institutes of Health, Bethesda, MD, USA.
2 Cheongju University, South Korea.
Neurorehabil Neural Repair. 2018 Sep;32(9):834-844. doi: 10.1177/1545968318796333.
There is mounting evidence that the central nervous system utilizes a modular approach for neuromuscular control of walking by activating groups of muscles in units termed muscle synergies. Examination of muscle synergies in clinical populations may provide insights into alteration of neuromuscular control underlying pathological gait patterns. Previous studies utilizing synergy analysis have reported reduced motor control complexity during walking in those with neurological deficits, revealing the potential clinical utility of this approach.
We extracted muscle synergies on a stride-to-stride basis from 20 children with cerebral palsy (CP; Gross Motor Function Classification System levels I-II) and 8 children without CP, allowing the number of synergies to vary for each stride. Similar muscle synergies across all participants and strides were grouped using a k-means clustering and discriminant analysis.
In total, 10 clusters representing 10 distinct synergies were found across the 28 individuals. Relative to their total number of synergies deployed during walking, synergies from children with CP were present in a higher number of clusters than in children with typical development (TD), indicating significantly greater stride-to-stride variability. This increased variability was present despite reduced complexity, as measured by the mean number of synergies in each stride. Whereas children with CP demonstrate some novel synergies, they also deploy some of the same muscle synergies as those with TD, although less frequently and with more variability.
A stride-by-stride approach to muscle synergy analysis expands its clinical utility and may provide a method to tailor rehabilitation strategies by revealing inconsistent but functional synergies in each child with CP.
越来越多的证据表明,中枢神经系统通过激活肌肉协同作用中的肌肉群,采用模块化的方法来控制行走的神经肌肉。在临床人群中检查肌肉协同作用可能会深入了解病理性步态模式下神经肌肉控制的改变。以前利用协同作用分析的研究报告称,神经功能缺损患者在行走时运动控制复杂性降低,揭示了这种方法的潜在临床应用价值。
我们从 20 名脑瘫(CP;运动功能分类系统水平 I-II)儿童和 8 名无 CP 儿童的逐步基础上提取肌肉协同作用,允许每个步长的协同作用数量有所不同。使用 k-均值聚类和判别分析对所有参与者和所有步长的相似肌肉协同作用进行分组。
在总共 28 个人中,发现了 10 个代表 10 个不同协同作用的簇。与 CP 儿童在行走过程中部署的协同作用总数相比,CP 儿童的协同作用出现在更多的簇中,表明步长之间的变异性明显更大。尽管复杂性降低,即每个步长中的协同作用数量减少,但这种增加的变异性仍然存在。尽管 CP 儿童表现出一些新的协同作用,但它们也部署了与 TD 儿童相同的肌肉协同作用,尽管频率较低且变异性较大。
对肌肉协同作用的逐步分析扩展了其临床应用,并可能通过揭示每个 CP 儿童中不一致但功能正常的协同作用,为定制康复策略提供一种方法。