同度力复杂性可能不完全源于神经系统
Peter C Raffalt1, Jennifer M Yentes2, Meaghan E Spedden3
1Department of Biology, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.
Human movement science
|June 16, 2023
概括
随着年龄的增长,力量生产中的运动控制复杂性会发生变化,但神经信号复杂性不会. 肌肉骨系统调节神经信息,改变运动执行期间的时间动态.
科学领域:
- 神经科学是一个神经科学.
- 发动机控制器的控制器
- 人体生理学 人体生理学
背景情况:
- 神经系统的信号被转化为运动的肌肉力量.
- 对于运动控制研究来说,了解整个生命周期的这种翻译至关重要.
研究的目的:
- 调查不同年龄组在同度收缩期间的运动控制动态.
- 检查神经信息转化为肌肉力量的与年龄相关的变化.
主要方法:
- 在儿童,青少年,年轻人和老年人中记录了感觉运动皮层EEG,肌肉EMG,以及在同位方位的足部和背部屈曲期间的力.
- 利用代用分析来评估信号决定性.
- 应用多尺度和半衰期分析来评估信号复杂性和时间依赖性.
主要成果:
- 建议所有记录的信号 (EEG,EMG,力) 都具有决定性的起源.
- 多尺度分析揭示了年龄和力信号复杂性之间的反转U形关系,但不是对EEG或EMG.
- 热半衰期分析表明,与神经信号相比,肌肉骨系统在力量信号中增加时间依赖的时间尺度.
结论:
- 肌肉骨系统在产生力时调节神经系统的时间信息.
- 肌肉力量的复杂性和时间动态不仅仅反映了底层的神经信号.
- 年龄影响肌肉骨系统对神经信息的调节,影响运动控制结果.
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