Missenard Olivier, Mottet Denis, Perrey Stephane
EA 2991, University Montpellier 1, 700 av. du pic Saint Loup, 34090 Montpellier, France.
Neurosci Lett. 2008 May 30;437(2):154-7. doi: 10.1016/j.neulet.2008.03.090. Epub 2008 Apr 4.
This study was designed to characterize the effect of fatigue on the relationship between muscular force and its variability over a broad range of submaximal forces. Eight participants had to match 4 levels of isometric force from 7 to 53% of their maximal capabilities. This task was repeated before and after a fatigue protocol that induced a loss of maximal force of approximately 31%. We found that, despite an increase in force variability that was proportional to the force level, the linear scaling of force variability with mean force was preserved during fatigue. Because this linear scaling is a prerequisite for optimal sensorimotor control models, our results broaden the explanatory power of these models to the fatigue case, while at the same time offering new routes towards understanding how the central nervous system adapts to fatigue.
本研究旨在表征疲劳对大范围次最大力量下肌肉力量与其变异性之间关系的影响。八名参与者必须匹配其最大能力7%至53%的4个等长力量水平。在疲劳方案前后重复此任务,该疲劳方案导致最大力量损失约31%。我们发现,尽管力量变异性增加与力量水平成正比,但在疲劳期间,力量变异性与平均力量的线性缩放关系得以保留。由于这种线性缩放是最佳感觉运动控制模型的先决条件,我们的结果拓宽了这些模型对疲劳情况的解释力,同时为理解中枢神经系统如何适应疲劳提供了新途径。