Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo 116-8551, Japan.
Graduate School of Human Health Sciences, Tokyo Metropolitan University, 7-2-10 Higashi-Ogu, Arakawa-ku, Tokyo 116-8551, Japan.
Gait Posture. 2022 Jul;96:102-108. doi: 10.1016/j.gaitpost.2022.05.017. Epub 2022 May 25.
Previous studies have reported existence of coordinated brain and muscle activity patterns that affect postural control. However, differences in these activity patterns that affect postural control are still unclear. The purpose of this study was to clarify brain and muscle activity pattern affecting postural control.
Does the difference in brain and muscle activity patterns during postural control affect postural control ability?
Nineteen healthy men (mean age: 24.8 ± 4.1 years, height: 171.8 ± 5.5 cm, and weight: 63.5 ± 12.5 kg) performed a postural control task on a balance board, and their brain and muscle activities and body sway during the task were measured using functional near-infrared spectroscopy, surface electromyography, and three-dimensional accelerometry. Hierarchical cluster analysis was conducted to extract subgroups based on brain and muscle activities and postural control, and correlation analysis was performed to investigate the relationship between brain activity, muscle activity, and postural control.
Two subgroups were found. Subgroup 1 (n = 9) showed higher brain activity in the supplementary motor area (p = 0.04), primary motor cortex (p = 0.04) and stable postural control in the mediolateral (p < 0.01) planes, and subgroup 2 (n = 10) showed higher muscle activity in the tibialis anterior (p < 0.01), a higher shank muscles co-contraction (p = 0.02) and unstable postural control. Furthermore, the supplementary motor area activity is negatively correlated with body sway of mediolateral plane (r = -0.51, p = 0.02), and tibialis anterior activity is positively correlated with body sway on the mediolateral plane (r = 0.62, p = 0.004).
Higher brain activity in motor-related areas, lower activity in the lower limb muscles and lower co-contraction of shank muscles were observed in stable postural control. These results will facilitate the planning of new rehabilitation methods for improving postural control ability.
先前的研究报告指出,存在协调大脑和肌肉活动模式来影响姿势控制。然而,影响姿势控制的这些活动模式的差异仍不清楚。本研究旨在阐明影响姿势控制的大脑和肌肉活动模式。
大脑和肌肉活动模式在姿势控制中的差异是否会影响姿势控制能力?
19 名健康男性(平均年龄:24.8±4.1 岁,身高:171.8±5.5cm,体重:63.5±12.5kg)在平衡板上进行姿势控制任务,使用功能近红外光谱、表面肌电图和三维加速度计测量他们在任务过程中的大脑和肌肉活动以及身体摆动。采用层次聚类分析基于大脑和肌肉活动以及姿势控制提取亚组,并进行相关分析以研究大脑活动、肌肉活动和姿势控制之间的关系。
发现了两个亚组。亚组 1(n=9)在补充运动区(p=0.04)和初级运动皮层(p=0.04)表现出更高的大脑活动,在横侧(p<0.01)平面具有稳定的姿势控制,而亚组 2(n=10)在胫骨前肌(p<0.01)表现出更高的肌肉活动,更高的小腿肌肉共同收缩(p=0.02)和不稳定的姿势控制。此外,补充运动区的活动与横侧平面的身体摆动呈负相关(r=-0.51,p=0.02),胫骨前肌的活动与横侧平面的身体摆动呈正相关(r=0.62,p=0.004)。
在稳定的姿势控制中,观察到与运动相关区域的大脑活动较高,下肢肌肉活动较低,小腿肌肉共同收缩较低。这些结果将有助于规划改善姿势控制能力的新康复方法。