Fiori Lorenzo, Castiglia Stefano Filippo, Chini Giorgia, Draicchio Francesco, Sacco Floriana, Serrao Mariano, Tatarelli Antonella, Varrecchia Tiwana, Ranavolo Alberto
Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy.
Behavioral Neuroscience PhD Program, Department of Physiology and Pharmacology, Sapienza University, Viale dell'Università 30, 00185 Rome, Italy.
Bioengineering (Basel). 2024 Mar 19;11(3):288. doi: 10.3390/bioengineering11030288.
The central nervous system (CNS) controls movements and regulates joint stiffness with muscle co-activation, but until now, few studies have examined muscle pairs during running. This study aims to investigate differences in lower limb muscle coactivation during gait at different speeds, from walking to running. Nineteen healthy runners walked and ran at speeds ranging from 0.8 km/h to 9.3 km/h. Twelve lower limb muscles' co-activation was calculated using the time-varying multi-muscle co-activation function (TMCf) with global, flexor-extension, and rostro-caudal approaches. Spatiotemporal and kinematic parameters were also measured. We found that TMCf, spatiotemporal, and kinematic parameters were significantly affected by gait speed for all approaches. Significant differences were observed in the main parameters of each co-activation approach and in the spatiotemporal and kinematic parameters at the transition between walking and running. In particular, significant differences were observed in the global co-activation (CI, main effect F = 641.04, < 0.001; at the transition < 0.001), the stride length (main effect F = 253.03, < 0.001; at the transition < 0.001), the stride frequency (main effect F = 714.22, < 0.001; at the transition < 0.001) and the Center of Mass displacement in the vertical (CoM, main effect F = 426.2, < 0.001; at the transition < 0.001) and medial-lateral (CoM, main effect F = 120.29 < 0.001; at the transition < 0.001) directions. Regarding the correlation analysis, the CoM was positively correlated with a higher CI ( = 0.88, < 0.001) and negatively correlated with Full Width at Half Maximum (FWHM, = -0.83, < 0.001), whereas the CoM was positively correlated with the global Center of Activity (CoA, = 0.97, < 0.001). Positive and negative strong correlations were found between global co-activation parameters and center of mass displacements, as well as some spatiotemporal parameters, regardless of gait speed. Our findings suggest that walking and running have different co-activation patterns and kinematic characteristics, with the whole-limb stiffness exerted more synchronously and stably during running. The co-activation indexes and kinematic parameters could be the result of global co-activation, which is a sensory-control integration process used by the CNS to deal with more demanding and potentially unstable tasks like running.
中枢神经系统(CNS)通过肌肉共同激活来控制运动并调节关节僵硬程度,但到目前为止,很少有研究在跑步过程中对肌肉对进行研究。本研究旨在调查从步行到跑步的不同速度步态期间下肢肌肉共同激活的差异。19名健康跑步者以0.8公里/小时至9.3公里/小时的速度行走和跑步。使用具有全局、屈伸和头尾方法的时变多肌肉共同激活函数(TMCf)计算12条下肢肌肉的共同激活。还测量了时空和运动学参数。我们发现,对于所有方法,TMCf、时空和运动学参数均受步态速度的显著影响。在每种共同激活方法的主要参数以及步行和跑步转换时的时空和运动学参数中观察到显著差异。特别是,在全局共同激活(CI,主效应F = 641.04,<0.001;在转换时<0.001)、步长(主效应F = 253.03,<0.001;在转换时<0.001)、步频(主效应F = 714.22,<0.001;在转换时<0.001)以及垂直方向(CoM,主效应F = 426.2,<0.001;在转换时<0.001)和内侧-外侧方向(CoM,主效应F = 120.29 <0.001;在转换时<0.001)的质心位移方面观察到显著差异。关于相关性分析,质心与较高的CI呈正相关(= 0.88,<0.001),与半高全宽(FWHM,= -0.83,<0.001)呈负相关,而质心与全局活动中心(CoA,= 0.97,<0.001)呈正相关。无论步态速度如何,在全局共同激活参数与质心位移以及一些时空参数之间发现了正相关和负相关的强相关性。我们的研究结果表明,步行和跑步具有不同的共同激活模式和运动学特征,在跑步过程中全肢体僵硬程度的施加更加同步和稳定。共同激活指数和运动学参数可能是全局共同激活的结果,全局共同激活是中枢神经系统用于处理像跑步这样要求更高且可能不稳定任务的一种感觉-控制整合过程。