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脑-肌肉网络动力学揭示年龄和体感功能对步态的影响。

Dynamics of brain-muscle networks reveal effects of age and somatosensory function on gait.

作者信息

Roeder Luisa, Breakspear Michael, Kerr Graham K, Boonstra Tjeerd W

机构信息

School of Exercise and Nutrition Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.

School of Information Systems, Faculty of Science, Queensland University of Technology, Brisbane, QLD, Australia.

出版信息

iScience. 2024 Feb 9;27(3):109162. doi: 10.1016/j.isci.2024.109162. eCollection 2024 Mar 15.

DOI:10.1016/j.isci.2024.109162
PMID:38414847
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10897916/
Abstract

Walking is a complex motor activity that requires coordinated interactions between the sensory and motor systems. We used mobile EEG and EMG to investigate the brain-muscle networks involved in gait control during overground walking in young people, older people, and individuals with Parkinson's disease. Dynamic interactions between the sensorimotor cortices and eight leg muscles within a gait cycle were assessed using multivariate analysis. We identified three distinct brain-muscle networks during a gait cycle. These networks include a bilateral network, a left-lateralized network activated during the left swing phase, and a right-lateralized network active during the right swing. The trajectories of these networks are contracted in older adults, indicating a reduction in neuromuscular connectivity with age. Individuals with the impaired tactile sensitivity of the foot showed a selective enhancement of the bilateral network, possibly reflecting a compensation strategy to maintain gait stability. These findings provide a parsimonious description of interindividual differences in neuromuscular connectivity during gait.

摘要

行走是一项复杂的运动活动,需要感觉系统和运动系统之间的协调互动。我们使用便携式脑电图(EEG)和肌电图(EMG)来研究年轻人、老年人和帕金森病患者在地面行走过程中参与步态控制的脑-肌肉网络。使用多变量分析评估步态周期中感觉运动皮层与八条腿部肌肉之间的动态相互作用。我们在步态周期中识别出三种不同的脑-肌肉网络。这些网络包括一个双侧网络、在左摆动期激活的左侧化网络以及在右摆动期活跃的右侧化网络。这些网络的轨迹在老年人中收缩,表明神经肌肉连接随年龄增长而减少。足部触觉敏感性受损的个体表现出双侧网络的选择性增强,这可能反映了一种维持步态稳定性的补偿策略。这些发现对步态期间神经肌肉连接的个体差异进行了简洁的描述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/f09cd136a47c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/019c18213151/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/ca6a51bd22d4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/bab654c331c8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/f09cd136a47c/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/019c18213151/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/ca6a51bd22d4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/bab654c331c8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/155b/10897916/f09cd136a47c/gr3.jpg

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本文引用的文献

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