Neuromuscular Plasticity Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, 12805 Pegasus Drive, HS 1, Room 258, Orlando, FL, 32816-2205, USA.
School of Kinesiology and Physical Therapy, University of Central Florida, Orlando, FL, 32816-2205, USA.
Eur J Appl Physiol. 2021 Apr;121(4):1145-1157. doi: 10.1007/s00421-021-04606-7. Epub 2021 Jan 23.
The ability to maintain an absolute, submaximal torque level during fatiguing contractions is controlled, in part, by the recruitment of larger motor units. These motor units are commonly identified based on greater action potential peak-to-peak amplitude values. It is unclear, however, if motor unit action potential (MUAP) amplitude values during low torque, fatiguing contractions reach similar levels as those observed during non-fatigued, high torque contractions. To establish a clearer understanding of motor unit control during fatigue, we compared MUAP amplitude during 50 and 80% maximum voluntary contraction (MVC) torque contractions and at the beginning, middle, and end of a 30% MVC fatigue protocol.
Eleven untrained men (mean age = 24 years) performed isometric contractions at 50 and 80% MVC, followed by repeated contractions at 30% MVC. Surface electromyographic (EMG) signals were detected from the vastus lateralis and decomposed to quantify the peak-to-peak amplitude of individual MUAPs. A two-level multilevel model was estimated, allowing examination of simultaneous measures of MUAP amplitude within participants and controlling for the dependence between measures within participants.
Results from the multilevel analyses suggested that there were not statistically significant differences in MUAP amplitude between 80% MVC and end fatigue. Separate repeated-measures analyses of variance indicated that there were not statistically significant mean differences in greatest MUAP or surface EMG amplitude between 80% MVC and end fatigue.
MUAP and surface EMG amplitude values during a 30% MVC fatiguing protocol appear to be comparable to those observed during a non-fatigued 80% MVC condition.
在疲劳收缩过程中维持绝对、亚最大扭矩水平的能力部分受更大运动单位募集的控制。这些运动单位通常根据更大的动作电位峰峰值幅度值来识别。然而,在低扭矩、疲劳收缩期间,运动单位动作电位(MUAP)幅度值是否达到与非疲劳、高扭矩收缩期间观察到的相似水平尚不清楚。为了更清楚地了解疲劳期间运动单位的控制,我们比较了 50%和 80%最大自主收缩(MVC)扭矩收缩期间以及 30%MVC 疲劳协议开始、中间和结束时的 MUAP 幅度。
11 名未经训练的男性(平均年龄=24 岁)进行 50%和 80%MVC 的等长收缩,然后进行 30%MVC 的重复收缩。从股外侧肌检测表面肌电图(EMG)信号,并对其进行分解以量化单个 MUAP 的峰峰值幅度。使用两级多水平模型进行估计,允许在参与者内同时检查 MUAP 幅度的测量值,并控制参与者内测量值之间的依赖性。
多水平分析的结果表明,80%MVC 和疲劳结束时 MUAP 幅度之间没有统计学上的显著差异。单独的重复测量方差分析表明,80%MVC 和疲劳结束时最大 MUAP 或表面 EMG 幅度之间没有统计学上的平均差异。
在 30%MVC 疲劳协议期间,MUAP 和表面 EMG 幅度值似乎与非疲劳 80%MVC 条件下观察到的幅度值相当。