Corticocortical and corticomuscular connectivity dynamics in standing posture: electroencephalography study.

IF 2.9 2区 医学 Q2 NEUROSCIENCES Cerebral cortex Pub Date : 2024-10-03 DOI:10.1093/cercor/bhae411
Kimiya Fujio, Kenta Takeda, Hiroki Obata, Noritaka Kawashima
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Abstract

Cortical mechanism is necessary for human standing control. Previous research has demonstrated that cortical oscillations and corticospinal excitability respond flexibly to postural demands. However, it is unclear how corticocortical and corticomuscular connectivity changes dynamically during standing with spontaneous postural sway and over time. This study investigated the dynamics of sway- and time-varying connectivity using electroencephalography and electromyography. Electroencephalography and electromyography were recorded in sitting position and 3 standing postures with varying base-of-support: normal standing, one-leg standing, and standing on a piece of wood. For sway-varying connectivity, corticomuscular connectivity was calculated based on the timing of peak velocity in anteroposterior sway. For time-varying connectivity, corticocortical connectivity was measured using the sliding-window approach. This study found that corticomuscular connectivity was strengthened at the peak velocity of postural sway in the γ- and β-frequency bands. For time-varying corticocortical connectivity, the θ-connectivity in all time-epoch was classified into 7 clusters including posture-relevant component. In one of the 7 clusters, strong connectivity pairs were concentrated in the mid-central region, and the proportion of epochs under narrow-base standing conditions was significantly higher, indicating a functional role for posture balance. These findings shed light on the connectivity dynamics and cortical oscillation that govern standing balance.

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站立姿势中的皮层和皮层肌肉连接动态:脑电图研究。
皮层机制是人类站立控制的必要条件。以往的研究表明,皮层振荡和皮层脊髓兴奋性可灵活地响应姿势需求。然而,皮质皮层和皮质肌肉连通性在自发姿势摇摆的站立过程中以及随着时间的推移如何发生动态变化,目前尚不清楚。本研究利用脑电图和肌电图研究了摇摆和时变连接的动态变化。研究人员记录了坐姿下的脑电图和肌电图,以及三种不同支撑基础的站立姿势:正常站立、单腿站立和站在木头上。对于摇摆变化的连通性,皮质肌肉连通性是根据前胸摇摆的峰值速度时间来计算的。对于时变连通性,则采用滑动窗口法测量皮质连通性。该研究发现,在体位摇摆的γ和β频段峰值速度时,皮质肌肉连通性得到加强。对于时变皮质连接性,所有时间波段的θ连接性被分为7个群组,其中包括姿势相关成分。在这7个群组中,有一个群组的强连接对集中在中枢区域,而且在窄基站条件下的时序比例明显较高,这表明了姿势平衡的功能性作用。这些发现揭示了支配站立平衡的连接动态和皮层振荡。
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来源期刊
Cerebral cortex
Cerebral cortex 医学-神经科学
CiteScore
6.30
自引率
8.10%
发文量
510
审稿时长
2 months
期刊介绍: Cerebral Cortex publishes papers on the development, organization, plasticity, and function of the cerebral cortex, including the hippocampus. Studies with clear relevance to the cerebral cortex, such as the thalamocortical relationship or cortico-subcortical interactions, are also included. The journal is multidisciplinary and covers the large variety of modern neurobiological and neuropsychological techniques, including anatomy, biochemistry, molecular neurobiology, electrophysiology, behavior, artificial intelligence, and theoretical modeling. In addition to research articles, special features such as brief reviews, book reviews, and commentaries are included.
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