Mazzo Melissa R, Holobar Aleš, Enoka Roger M
Department of Integrative Physiology, University of Colorado, Boulder, CO, USA.
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
Exp Physiol. 2022 May;107(5):489-507. doi: 10.1113/EP090228. Epub 2022 Mar 15.
What is the central question of this study? What is the association between the fluctuations in various estimates of effective neural drive to the triceps surae muscles and fluctuations in net plantar-flexion torque during steady submaximal contractions? What is the main finding and its importance? The fluctuations in estimates of effective neural drive to the triceps surae were moderately correlated with fluctuations in net torque at light and moderate plantar-flexion torques. Significant variability was observed in the association between neural drive and torque across participants, trials, short epochs of individual contractions and varying motor unit number.
The influence of effective neural drive on low-frequency fluctuations in torque during steady contractions can be estimated from the cumulative spike train (CST) or first principal component (FPC) of smoothed motor unit discharge rates obtained with high-density electromyography. However, the association between these estimates of total neural drive to synergist muscles and the fluctuations in net torque has not been investigated. We exposed the variability and compared the correlations between estimates of effective neural drive to the triceps surae muscles and fluctuations in plantar-flexion torque during steady contractions at 10% and 35% of maximal voluntary contraction (MVC) torque. Both neural drive estimates were moderately correlated with torque (CST, 0.55 ± 0.14; FPC, 0.58 ± 0.16) and highly correlated with one another (0.81 ± 0.1) during the 30-s steady contractions. There was substantial variability in cross-correlation values across participants, trials, and the 1- and 5-s epochs of single contractions. Moreover, epoch duration significantly influenced cross-correlation values. Motor unit number was weakly associated with cross-correlation strength at 35% MVC (marginal R 0.09-0.11; all P < 2.2 × 10 ), but not at 10% MVC (all P > 0.37). Approximately, one-fifth of the variance in the coefficient of variation (CV) for torque was explained by CV for the CST estimate of the neural drive (P = 6.6 × 10 , R = 0.21). Estimates of total neural drive to the synergistic triceps surae muscles obtained by pooling motor unit discharge times were moderately correlated with fluctuations in net plantar-flexion torque.
本研究的核心问题是什么?在稳定的次最大收缩过程中,对腓肠肌有效神经驱动的各种估计值的波动与净跖屈扭矩的波动之间有何关联?主要发现及其重要性是什么?在轻度和中度跖屈扭矩时,对腓肠肌有效神经驱动的估计值波动与净扭矩波动呈中度相关。在参与者、试验、个体收缩的短时间段以及不同运动单位数量之间,神经驱动与扭矩之间的关联存在显著变异性。
在稳定收缩过程中,有效神经驱动对扭矩低频波动的影响可通过高密度肌电图获得的平滑运动单位放电率的累积脉冲序列(CST)或第一主成分(FPC)来估计。然而,尚未研究这些对协同肌总神经驱动的估计值与净扭矩波动之间的关联。我们揭示了变异性,并比较了在最大自主收缩(MVC)扭矩的10%和35%时,对腓肠肌有效神经驱动的估计值与稳定收缩过程中跖屈扭矩波动之间的相关性。在30秒的稳定收缩过程中,两种神经驱动估计值均与扭矩呈中度相关(CST,0.55±0.14;FPC,0.58±0.16),且彼此高度相关(0.81±0.1)。在参与者、试验以及单次收缩的1秒和5秒时间段内,互相关值存在很大变异性。此外,时间段持续时间显著影响互相关值。运动单位数量与35%MVC时的互相关强度弱相关(边际R 0.09 - 0.11;所有P < 2.2×10),但在10%MVC时不相关(所有P > 0.37)。扭矩变异系数(CV)的约五分之一方差可由神经驱动的CST估计值的CV解释(P = 6.6×10,R = 0.2)。通过汇总运动单位放电时间获得的对协同腓肠肌总神经驱动的估计值与净跖屈扭矩波动呈中度相关。