Carr Joshua C, Beck Travis W, Ye Xin, Wages Nathan P
Biophysics Laboratory, Department of Health & Exercise Science, University of Oklahoma, Norman, Oklahoma.
Neuromuscular Laboratory, Department of Health, Exercise Science & Recreation Management, University of Mississippi, University, Mississippi.
Physiol Rep. 2018 Feb;6(4). doi: 10.14814/phy2.13590.
In order to characterize the physiological adjustments within the neuromuscular system that contribute to task failure, this study examined the surface mechanomyographic (MMG) response during maximal and submaximal isometric force tasks of the elbow flexors sustained to failure. The time and frequency components of the MMG signal have shown to be influenced by motor unit activation patterns as well as tetanus. Therefore, it was hypothesized that the rate of change for the MMG response would associate with failure times and would be reduced to a similar degree between the two tasks. The isometric force tasks were performed by the dominant elbow flexors of twenty healthy males (age: 25 ± 4 years) and MMG was collected from the biceps brachii. Regression analyses were used to model the relationships between the rates of change for MMG versus failure times. There were high levels of interindividual variability in the response patterns, yet the models demonstrated significant negative associations between the rate of change for the MMG responses and failure times during both tasks (R = 0.41-0.72, P < 0.05). Similarly, the mean MMG amplitude and frequency values were reduced to comparable levels at the failure point of the two tasks. The results of this study demonstrated that force failure is associated with the rate of diminution in the properties of the muscle force twitch.
为了描述神经肌肉系统中导致任务失败的生理调节机制,本研究检测了在最大和次最大等长力量任务中,屈肘肌持续收缩至疲劳时的表面肌机械图(MMG)反应。MMG信号的时间和频率成分已被证明受运动单位激活模式以及强直收缩的影响。因此,研究假设MMG反应的变化率与疲劳时间相关,且在两项任务中会以相似程度降低。二十名健康男性(年龄:25±4岁)的优势屈肘肌进行等长力量任务,同时从肱二头肌采集MMG信号。采用回归分析建立MMG变化率与疲劳时间之间的关系模型。反应模式存在高度个体差异,但模型显示两项任务中MMG反应变化率与疲劳时间之间均存在显著负相关(R = 0.41 - 0.72,P < 0.05)。同样,在两项任务的疲劳点,MMG平均振幅和频率值均降至相当水平。本研究结果表明,力量疲劳与肌肉力量抽搐特性的衰减速率相关。