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Muscle fatigue increases beta-band coherence between the firing times of simultaneously active motor units in the first dorsal interosseous muscle

机译:肌肉疲劳会增加第一背骨间肌肉中同时活动的运动单位的放电时间之间的β波段一致性

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摘要

Synchronization between the firing times of simultaneously active motor units (MUs) is generally assumed to increase during fatiguing contractions. To date, however, estimates of MU synchronization have relied on indirect measures, derived from surface electromyographic (EMG) interference signals. This study used intramuscular coherence to investigate the correlation between MU discharges in the first dorsal interosseous muscle during and immediately following a submaximal fatiguing contraction, and after rest. Coherence between composite MU spike trains, derived from decomposed surface EMG, were examined in the delta (1–4 Hz), alpha (8–12 Hz), beta (15–30 Hz), and gamma (30–60 Hz) frequency band ranges. A significant increase in MU coherence was observed in the delta, alpha, and beta frequency bands postfatigue. In addition, wavelet coherence revealed a tendency for delta-, alpha-, and beta-band coherence to increase during the fatiguing contraction, with subjects exhibiting low initial coherence values displaying the greatest relative increase. This was accompanied by an increase in MU short-term synchronization and a decline in mean firing rate of the majority of MUs detected during the sustained contraction. A model of the motoneuron pool and surface EMG was used to investigate factors influencing the coherence estimate. Simulation results indicated that changes in motoneuron inhibition and firing rates alone could not directly account for increased beta-band coherence postfatigue. The observed increase is, therefore, more likely to arise from an increase in the strength of correlated inputs to MUs as the muscle fatigues.
机译:通常认为,在疲劳收缩期间,同时激活的电动机单元(MU)的点火时间之间的同步会增加。但是,迄今为止,MU同步的估计依赖于间接措施,该措施是从表面肌电图(EMG)干扰信号得出的。这项研究使用了肌肉内连贯性,以研究亚最大疲劳收缩期间和之后以及休息后第一背骨间肌中MU放电之间的相关性。从分解的表面肌电图得出的复合MU尖峰列之间的相干性以δ(1-4 Hz),α(8-12 Hz),β(15-30 Hz)和γ(30-60 Hz)频率进行了检查频段范围。在疲劳后的δ,α和β频带中观察到MU相干性显着提高。另外,小波相干揭示了在疲劳收缩期间δ,α和β带相干性趋于增加的趋势,表现出较低初始相干性值的受试者表现出最大的相对增加。这伴随着MU短期同步性的增加和持续收缩过程中检测到的大多数MU的平均发动率下降。运动神经元池和表面肌电图的模型用于研究影响相干估计的因素。模拟结果表明,仅运动神经元抑制和放电速率的变化不能直接说明疲劳后β带相干性的增加。因此,观察到的增加更可能是由于肌肉疲劳而导致的MU的相关输入强度增加所引起的。

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