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正常行走和滑倒过程中的共享及特定任务肌肉协同作用。

Shared and Task-Specific Muscle Synergies during Normal Walking and Slipping.

作者信息

Nazifi Mohammad Moein, Yoon Han Ul, Beschorner Kurt, Hur Pilwon

机构信息

Human Rehabilitation Group, Department of Mechanical Engineering, Texas A&M University College Station, TX, USA.

Deparment of Bioengineering, University of PittsburghPittsburgh, PA, USA; Deparment of Industrial Engineering, University of Wisconsin-MilwaukeeMilwaukee, WI, USA.

出版信息

Front Hum Neurosci. 2017 Feb 6;11:40. doi: 10.3389/fnhum.2017.00040. eCollection 2017.

Abstract

Falling accidents are costly due to their prevalence in the workplace. Slipping has been known to be the main cause of falling. Understanding the motor response used to regain balance after slipping is crucial to developing intervention strategies for effective recovery. Interestingly, studies on spinalized animals and studies on animals subjected to electrical microstimulation have provided major evidence that the Central Nervous System (CNS) uses motor primitives, such as muscle synergies, to control motor tasks. Muscle synergies are thought to be a critical mechanism used by the CNS to control complex motor tasks by reducing the dimensional complexity of the system. Even though synergies have demonstrated potential for indicating how the body responds to balance perturbations by accounting for majority of the data set's variability, this concept has not been applied to slipping. To address this gap, data from 11 healthy young adults were collected and analyzed during both unperturbed walking and slipping. Applying an iterative non-negative matrix decomposition technique, four muscle synergies and the corresponding time-series activation coefficients were extracted. The synergies and the activation coefficients were then compared between baseline walking and slipping to determine shared vs. task-specific synergies. Correlation analyses found that among four synergies, two synergies were shared between normal walking and slipping. However, the other two synergies were task-specific. Both limbs were contributing to each of the four synergies, suggesting substantial inter-limb coordination during gait and slip. These findings stay consistent with previous unilateral studies that reported similar synergies between unperturbed and perturbed walking. Activation coefficients corresponding to the two shared synergies were similar between normal walking and slipping for the first 200 ms after heel contact and differed later in stance, suggesting the activation of muscle synergies in response to a slip. A muscle synergy approach would reveal the used sub-tasks during slipping, facilitating identification of impaired sub-tasks, and potentially leading to a purposeful rehabilitation based on damaged sub-functions.

摘要

由于跌倒事故在工作场所普遍存在,其代价高昂。滑倒一直被认为是跌倒的主要原因。了解滑倒后用于恢复平衡的运动反应对于制定有效的恢复干预策略至关重要。有趣的是,对脊髓损伤动物的研究以及对接受电微刺激的动物的研究提供了主要证据,表明中枢神经系统(CNS)使用运动原语,如肌肉协同作用,来控制运动任务。肌肉协同作用被认为是中枢神经系统通过降低系统的维度复杂性来控制复杂运动任务的关键机制。尽管协同作用已显示出通过解释数据集的大部分变异性来表明身体对平衡扰动的反应的潜力,但这一概念尚未应用于滑倒情况。为了填补这一空白,收集并分析了11名健康年轻成年人在无扰动行走和滑倒过程中的数据。应用迭代非负矩阵分解技术,提取了四种肌肉协同作用以及相应的时间序列激活系数。然后比较基线行走和滑倒之间的协同作用和激活系数,以确定共享的与特定任务的协同作用。相关性分析发现,在四种协同作用中,正常行走和滑倒之间共享两种协同作用。然而,另外两种协同作用是特定任务的。双下肢都对四种协同作用中的每一种有贡献,表明步态和滑倒过程中存在大量的双侧肢体协调。这些发现与之前的单侧研究一致,该研究报告了无扰动行走和受扰动行走之间存在类似的协同作用。对应于两种共享协同作用的激活系数在足跟接触后的前200毫秒内,正常行走和滑倒之间相似,而在站立后期有所不同,这表明肌肉协同作用在滑倒时被激活。肌肉协同作用方法将揭示滑倒过程中使用的子任务,有助于识别受损的子任务,并有可能基于受损的子功能进行有针对性的康复治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abcf/5292600/e95aaba6fb79/fnhum-11-00040-g0001.jpg

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