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肌肉疲劳的神经代偿:人体显著力量调节的证据。

Neural compensation for muscular fatigue: evidence for significant force regulation in man.

作者信息

Kirsch R F, Rymer W Z

出版信息

J Neurophysiol. 1987 Jun;57(6):1893-910. doi: 10.1152/jn.1987.57.6.1893.

DOI:10.1152/jn.1987.57.6.1893
PMID:3598635
Abstract

We have investigated the role of reflex regulation of muscle force in normal human subjects by comparing changes in the stretch-evoked increments in elbow joint flexor electromyogram (EMG) and elbow joint torque before and after fatigue. Elbow flexor muscle fatigue was induced by repetitive voluntary isometric contractions. To assess the appropriateness of the EMG signal as an index of neural excitation of muscle under fatiguing conditions, we examined the time course of recovery of joint torque and EMG power spectrum following fatigue. Fatigue-related changes in the EMG power spectra recovered within 5-10 min after fatiguing exercise was terminated, yet the muscle weakness induced by the exercise lasted greater than 7 h and was substantial in magnitude. The decoupling of torque and EMG recovery allowed us to compare pre- and postfatigue EMG stretch responses without adjusting for differences in EMG spectral content. Torque and EMG responses to stretch were quantified by time-averaging over 250-ms "isometric" and "steady-state" periods, just before and just after a ramp angular stretch of the elbow joint, respectively. The torque increment elicited by stretch was lower following fatigue in seven of eight experiments. However, the average decrease of 20.13 +/- 14.42% in these seven subjects was somewhat smaller than the corresponding average shift in the slope of the isometric EMG-torque relationship of 85.84 +/- 90.29% (n = 8). Furthermore, the stretch-induced EMG increment was larger following fatigue in all eight sessions (average of 56.14 +/- 28.96%, n = 8), with six of the shifts reaching statistical significance for alpha = 0.05. Because the pattern of torque and EMG responses before and after fatigue suggested the presence of an active force regulator, we used a simple model of the neuromuscular system to estimate a loop gain value for each session. When pre- and postfatigue responses were matched by isometric background torque level, an average loop gain value of 7.9 was computed, whereas for responses matched by average prestretch EMG level, the loop gain estimates averaged 2.1. Although our assessment of force regulation was essentially static and derived from the responses to a single type of perturbation, the change in the incremental torque and EMG stretch responses indicates that meaningful neural compensation for fatigue occurred. Moreover, the loop gain estimates derived from these responses are an order of magnitude larger than those previously reported in animal models, suggesting that force regulation may be important in the control of human muscle contraction.

摘要

我们通过比较疲劳前后肘关节屈肌肌电图(EMG)和肘关节扭矩的拉伸诱发增量变化,研究了正常人体受试者中肌肉力量反射调节的作用。通过重复性自愿等长收缩诱导肘关节屈肌疲劳。为了评估EMG信号作为疲劳条件下肌肉神经兴奋指标的适用性,我们研究了疲劳后关节扭矩和EMG功率谱的恢复时间过程。疲劳运动终止后5 - 10分钟内,EMG功率谱中与疲劳相关的变化恢复,但运动引起的肌肉无力持续超过7小时且程度显著。扭矩和EMG恢复的解耦使我们能够比较疲劳前后的EMG拉伸反应,而无需调整EMG频谱内容的差异。通过分别在肘关节斜坡角度拉伸之前和之后的250毫秒“等长”和“稳态”时间段内进行时间平均来量化扭矩和EMG对拉伸的反应。在八个实验中的七个实验中,疲劳后拉伸引起的扭矩增量较低。然而,这七个受试者中平均下降20.13±14.42%,略小于等长EMG - 扭矩关系斜率相应的平均变化85.84±90.29%(n = 8)。此外,在所有八个实验环节中,疲劳后拉伸诱发的EMG增量均更大(平均为56.14±28.96%,n = 8),其中六个变化在α = 0.05时达到统计学显著性。由于疲劳前后扭矩和EMG反应的模式表明存在主动力调节器,我们使用神经肌肉系统的简单模型来估计每个实验环节的环路增益值。当通过等长背景扭矩水平匹配疲劳前后的反应时,计算出的平均环路增益值为7.9,而当通过平均预拉伸EMG水平匹配反应时,环路增益估计平均值为2.1。尽管我们对力调节的评估本质上是静态的,且源自对单一类型扰动的反应,但增量扭矩和EMG拉伸反应的变化表明发生了有意义的神经对疲劳的补偿。此外,从这些反应得出的环路增益估计值比先前在动物模型中报道的值大一个数量级,表明力调节在人类肌肉收缩控制中可能很重要。

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