Corticocortical and corticomuscular connectivity dynamics in standing posture: electroencephalography study
Kimiya Fujio1, Kenta Takeda2, Hiroki Obata3
1Department of Rehabilitation for Movement Functions, Research Institute of National Rehabilitation Center for Persons with Disabilities, 4-1, Namiki,Tokorozawa, Saitama, 359-0555, Japan.
Cerebral Cortex (New York, N.Y. : 1991)
|October 11, 2024
Summary
Human standing control relies on brain activity. This study reveals dynamic brain connectivity changes during postural sway and over time, highlighting the brain
Area of Science:
- Neuroscience
- Human Motor Control
- Systems Neuroscience
Background:
- Cortical mechanisms are crucial for maintaining upright stance.
- Previous studies show flexible cortical responses to postural demands.
- Dynamic changes in corticocortical and corticomuscular connectivity during standing remain poorly understood.
Purpose of the Study:
- To investigate the dynamic changes in corticocortical and corticomuscular connectivity during standing.
- To examine how connectivity varies with spontaneous postural sway and over time.
- To elucidate the neural underpinnings of standing balance control.
Main Methods:
- Simultaneous electroencephalography (EEG) and electromyography (EMG) recordings.
- Analysis of sway-varying corticomuscular connectivity at peak sway velocity.
- Analysis of time-varying corticocortical connectivity using a sliding-window approach across different standing postures (normal, one-leg, narrow base).
Main Results:
- Corticomuscular connectivity strengthened in gamma (γ) and beta (β) frequency bands at peak sway velocity.
- Time-varying theta (θ) corticocortical connectivity showed posture-relevant patterns.
- A specific cluster of θ-connectivity, concentrated in the mid-central region, was more prominent during narrow-base standing, suggesting a role in balance.
Conclusions:
- Corticomuscular and corticocortical connectivity exhibit dynamic changes crucial for standing balance.
- The findings provide insights into the neural control of posture and balance.
- Understanding these dynamic connectivity patterns can inform future research on motor control and neurological disorders.
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