Musculoskeletal Science and Sports Medicine Research Centre, Dpt. Life Sciences, Manchester Metropolitan University, Manchester, UK.
Manchester Metropolitan University Institute of Sport, Manchester, UK.
Eur J Appl Physiol. 2022 Apr;122(4):1045-1057. doi: 10.1007/s00421-022-04899-2. Epub 2022 Feb 15.
The human neuro-motor system can select different intermuscular coordination patterns to complete any given task, such as pedalling a bicycle. This study assessed whether intermuscular coordination patterns are used consistently across visit days and cadence conditions in recreationally active individuals.
Seven participants completed a cycling exercise protocol across 2 days, consisting of pedalling at 150 Watts at cadences of 60, 80 and 100 rpm. Whilst cycling, surface electromyography was continuously recorded from ten leg muscles. For each participant, muscle coordination patterns were established using principal component (PC) analysis and the amount that each pattern was used was quantified by the PC loading scores. A sample entropy derived measure of the persistence of the loading scores across consecutive pedal cycles, entropic half-life (EnHL), was calculated. The median loading scores and EnHLs of the first three PCs were then compared across cadence conditions and visit days.
No significant differences were found in the median loading scores across cadence conditions or visits, nor were there any significant differences in the EnHLs across visits. However, the EnHLs were significantly longer when participants were cycling at 60 rpm compared to 100 rpm.
These findings are based on a small sample size, but do suggest that, within individual participants, a consistent neuromuscular control strategy is used during cycling on different days. However, the underlying structure of muscle coordination is more persistent when pedalling at slower cadences with large differences between individuals.
人类神经运动系统可以选择不同的肌肉间协调模式来完成任何给定的任务,例如骑自行车。本研究评估了在娱乐性活跃个体中,跨天和踏频条件下,肌肉间协调模式是否一致使用。
7 名参与者在 2 天内完成了一项踏车运动方案,包括在 150 瓦的功率下以 60、80 和 100 rpm 的转速踏车。在踏车过程中,连续记录来自 10 块腿部肌肉的表面肌电图。对于每个参与者,使用主成分(PC)分析来建立肌肉协调模式,并通过 PC 加载分数来量化每个模式的使用量。计算了加载分数在连续踏车周期中保持不变的样本熵衍生度量,即熵半衰期(EnHL)。然后比较了前三个 PC 的中位数加载分数和 EnHL 在不同踏频条件和不同天之间的差异。
在踏频条件或不同天之间,中位数加载分数没有显著差异,EnHL 也没有显著差异。然而,当参与者以 60 rpm 踏车时,EnHL 明显更长。
这些发现基于小样本量,但确实表明,在不同的日子里,个体参与者在踏车上使用一致的神经肌肉控制策略。然而,在以较慢的踏频踏车时,肌肉协调的基础结构更具持久性,个体之间的差异较大。