相关的有效神经驱动和共收缩期间的机电波动之间的关联:MU放电和干扰EMG的见解
Moeka Samoto1, Minoru Shinohara2,3, Kohei Watanabe4
1Graduate School of Science and Technology, Shinshu University, Ueda, Japan.
Journal of neurophysiology
|September 9, 2025
概括
与对抗肌肉相关的有效神经驱动力 (END) 较大的个体在协同收缩时表现出更稳定的关节力. 这种相关的END强度,通过表面EMG测量,准确地反映了动力单元的活动.
科学领域:
- 神经科学是一个神经科学.
- 生物力学 生物力学
- 发动机控制器的控制器
背景情况:
- 了解肌肉共同收缩的神经控制对于分析关节稳定性至关重要.
- 有效神经驱动 (END) 影响肌肉力量输出和协调.
- 表面EMG和运动单元 (MU) 放电是神经活动的关键指标.
研究的目的:
- 为了研究与敌对肌肉相关的END强度和联合收缩期间的关节输出波动之间的相关性.
- 为了确定从表面EMG估计的相关END强度是否与从MU放电中得出的强度一致.
主要方法:
- 参与者在10%的最大EMG时执行了中部胃角肌和肌前部肌肉的同位数收缩.
- 相关的END强度是用表面EMG和分解的MU放电的交叉相关性分析来量化.
- 分析了神经/电气和机械输出的波动.
主要成果:
- 较大的相关END与减少的净力波动 (更稳定的机械输出) 和增加的神经/电信号波动有关.
- 从表面EMG估计的相关END强度与MU放电 (r=0.83) 得到的强度有很高的相关性.
- 在MU放电频率的波动与净脚力波动负相关 (r=-0.57).
结论:
- 相关性较高的ENDD个体在合收缩期间表现出更稳定的关节机械输出.
- 传统的表面EMG可以在特定的共同收缩条件下可靠地估计相关的END强度.
- 这些发现提高了对神经驱动器在运动控制和关节稳定中的作用的理解.
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