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Fatigue-related modulation of low-frequency common drive to motor units

机译:电机单元低频通用驱动的疲劳相关调制

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Purpose This study investigated fatigue-related modulation of common neural inputs to motor units (MUs) under 5 Hz, which determines force precision control. Methods Twenty-seven adults performed a sequence of fatiguing contractions. The participants were assessed with a static isometric index abduction at 20% maximal voluntary contraction in the pre-test and post-test. Discharge characteristics of MUs of the first dorsal interosseous muscle were analyzed with decomposed EMG signals. Results Along with increases in the mean (58.40 +/- 11.76 ms -> 62.55 +/- 10.83 ms, P = 0.029) and coefficient of variation (0.204 +/- .014 -> 0.215 +/- 0.017, P = 0.002) in inter-spike intervals, the fatiguing contraction caused reductions in the mean frequency (16.84 +/- 3.31 Hz -> 15.59 +/- 3.21 Hz, P = 0.027) and spectral dispersions (67.54 +/- 4.49 -> 62.64 +/- 6.76 Hz, P = 0.007) of common neural drive, as estimated with smoothed cumulative motor unit spike trains (SCMUSTs). Stabilogram diffusion analysis of SCMUSTs revealed significant fatigue-related reductions in the long-term effective diffusion coefficient (1.91 +/- 0.77 Hz(2)/s -> 1.61 +/- 0.61 Hz(2)/s, P = 0.020) and long-term scaling exponent (0.480 +/- 0.013 Hz(2)/s -> 0.471 +/- 0.017 Hz(2)/s, P = 0.014). After fatiguing contraction, mutual information of force fluctuations and SCMUSTs was augmented roughly by 12.95% (P = 0.041). Conclusions Muscular fatigue could compress and shift the low-frequency common drive to MUs toward lower spectral bands, thereby enhancing transmission of twitch forces through the muscle-tendon complex with a low-pass filter property. The fatigue-induced changes involve increased closed-loop control of the common modulation of MU discharge rates.
机译:目的本研究调查了疲劳相关的常见神经输入调制到5 Hz下的电机单元(MU),这决定了力精度控制。方法二十七名成年人进行了一系列疲劳收缩。参与者在预测试和测试后,在20%最大自愿收缩的静态等距指数绑架评估。用分解的EMG信号分析了第一背侧骨肌肉的蘑菇的放电特性。结果随着平均值的增加(58.40 +/- 11.76 ms - > 62.55 +/- 10.83ms,p = 0.029)和变异系数(0.204 +/- .014 - > 0.215 +/- 0.017,p = 0.002)在尖峰间隔中,疲劳收缩引起平均频率的减少(16.84 +/- 3.31 Hz - > 15.59 +/- 3.21 Hz,P = 0.027)和光谱分散体(67.54 +/- 4.49 - > 62.64 +/- 6.76 Hz,p = 0.007)常见的神经驱动,如平滑的累积电机单位尖峰列车(SCUSSS)估计。 SCUSSS的STABILACK扩散分析显示了长期有效扩散系数中的显着疲劳相关减少(1.91 +/- 0.77 Hz(2)/ s - > 1.61 +/- 0.61 Hz(2)/ s,p = 0.020)和长期缩放指数(0.480 +/- 0.013 Hz(2)/ s - > 0.471 +/- 0.017 Hz(2)/ s,P = 0.014)。在疲劳收缩之后,施力波动和Scmusts的相互信息大致增加12.95%(P = 0.041)。结论肌肉疲劳可以压缩并将低频公共驱动器转移到较低光谱带中的亩,从而通过具有低通滤波器性能的肌肉肌腱复合物增强抽搐力的传播。疲劳诱导的变化涉及增加uM放电速率的常见调节的闭环控制。

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