Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan.
Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, 70101, Taiwan.
Eur J Appl Physiol. 2020 Jun;120(6):1305-1317. doi: 10.1007/s00421-020-04363-z. Epub 2020 Apr 15.
This study investigated fatigue-related modulation of common neural inputs to motor units (MUs) under 5 Hz, which determines force precision control.
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.
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/s → 1.61 ± 0.61 Hz/s, P = 0.020) and long-term scaling exponent (0.480 ± 0.013 Hz/s → 0.471 ± 0.017 Hz/s, P = 0.014). After fatiguing contraction, mutual information of force fluctuations and SCMUSTs was augmented roughly by 12.95% (P = 0.041).
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.
本研究调查了 5 Hz 下与疲劳相关的运动单位(MU)常见传入神经的调制,这决定了力的精确控制。
27 名成年人进行了一系列疲劳收缩。参与者在预测试和后测试中进行了 20%最大自主收缩的静态等长指数外展评估。第一背侧间骨间肌的 MU 放电特征通过分解肌电图信号进行分析。
随着肌间间隔的平均值(58.40±11.76 ms→62.55±10.83 ms,P=0.029)和变异系数(0.204±0.014→0.215±0.017,P=0.002)的增加,疲劳收缩导致 MU 共同驱动的平均频率(16.84±3.31 Hz→15.59±3.21 Hz,P=0.027)和频谱离散度(67.54±4.49 Hz→62.64±6.76 Hz,P=0.007)降低,这是通过平滑累积运动单位放电轨迹(SCMUSTs)估计的。SCMUST 的稳定度扩散分析表明,共同驱动的长期有效扩散系数(1.91±0.77 Hz/s→1.61±0.61 Hz/s,P=0.020)和长期缩放指数(0.480±0.013 Hz/s→0.471±0.017 Hz/s,P=0.014)显著降低。疲劳收缩后,力波动与 SCMUST 的互信息增加了约 12.95%(P=0.041)。
肌肉疲劳可能会将 MU 的低频共同驱动压缩并转移到较低的谱带,从而通过具有低通滤波器特性的肌肉-肌腱复合体增强颤搐力的传递。疲劳引起的变化涉及 MU 放电率共同调制的闭环控制增加。