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不同的神经肌肉控制机制调节静态和动态平衡:年轻成年人的压力中心分析
Alex Rizzato1, Michael Benazzato2, Matteo Cognolato3
1Department of Biomedical Sciences, University of Padova, Padova, Italy.
Human movement science
|June 26, 2023
概括
稳定仪扩散分析 (SDA) 和样本 (SampEn) 揭示了不同的神经肌肉控制策略,用于静态与动态平衡. 与静态平衡相比,动态任务显示出较少的调节控制和更有意识的注意力.
科学领域:
- 生物力学 生物力学
- 神经学 神经学
- 人体生理学 人体生理学
背景情况:
- 姿势平衡控制对于日常活动至关重要,通常使用压力中心 (CoP) 分析进行评估.
- 稳定图扩散分析 (SDA) 将CoP模型作为时间序列,提供扩散系数和关键点来量化随机活动.
- 样本 (SampEn) 衡量了COP轨迹的复杂性和规律性.
研究的目的:
- 调查SDA和SampEn是否可以区分静态和动态姿势任务背后的神经肌肉控制机制.
- 通过使用CoP速度和圆面积来检查静态和动态平衡控制之间的关系.
- 为了在静态,动态前后 (DAP) 和动态中侧 (DML) 条件下比较平衡控制.
主要方法:
- 在静态 (ST),DAP和DML条件下使用力量平台对15名健康人进行平衡评估.
- 应用 SDA 来分析 CoP 轨迹的扩散系数和临界点.
- 使用SampEn来量化COP复杂性,并计算静态和动态性能的平均速度和面积95.
主要成果:
- 与DAP和DML相比,ST的短期SDA扩散系数和临界点在ST中较低.
- 在ST中,sampEn值明显高于DAP和DML,这表明复杂性更大.
- 区域95和平均速度在ST中较低,证实它是最容易的条件;在静态和动态平衡之间没有发现显著的相关性.
- SDA揭示了DAP和DML之间扩散系数的差异,所有三个条件的临界点各不相同.
结论:
- 在动态任务中,SDA表明神经肌肉系统的调节较少,涉及不同时间间隔的反机制.
- 在动态平衡过程中,SampEn建议增加注意力和减少自动控制,特别是在中侧方向.
- 由于不同的底层神经肌肉控制机制,建议进行静态和动态平衡测试以进行全面评估.
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