Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, 306 via Ardeatina, 00179 Rome, Italy.
J Neurophysiol. 2011 Sep;106(3):1525-36. doi: 10.1152/jn.00160.2011. Epub 2011 Jun 22.
During gradual speed changes, humans exhibit a sudden discontinuous switch from walking to running at a specific speed, and it has been suggested that different gaits may be associated with different functioning of neuronal networks. In this study we recorded the EMG activity of leg muscles at slow increments and decrements in treadmill belt speed and at different levels of body weight unloading. In contrast to normal walking at 1 g, at lower levels of simulated gravity (<0.4 g) the transition between walking and running was generally gradual, without systematic abrupt changes in either intensity or timing of EMG patterns. This phenomenon depended to a limited extent on the gravity simulation technique, although the exact level of the appearance of smooth transitions (0.4-0.6 g) tended to be lower for the vertical than for the tilted body weight support system. Furthermore, simulations performed with a half-center oscillator neuromechanical model showed that the abruptness of motor patterns at gait transitions at 1 g could be predicted from the distinct parameters anchored already in the normal range of walking and running speeds, whereas at low gravity levels the parameters of the model were similar for the two human gaits. A lack of discontinuous changes in the pattern of speed-dependent locomotor characteristics in a hypogravity environment is consistent with the idea of a continuous shift in the state of a given set of central pattern generators, rather than the activation of a separate set of central pattern generators for each distinct gait.
在逐渐改变速度的过程中,人类会突然从行走切换到特定速度的奔跑,这表明不同的步态可能与不同的神经网络功能有关。在这项研究中,我们在跑步机带速缓慢增加和减少以及不同的身体重量卸载水平下记录了腿部肌肉的肌电图活动。与 1g 下的正常行走相比,在较低的模拟重力水平(<0.4g)下,行走和奔跑之间的转换通常是渐进的,肌电图模式的强度或时间没有系统的突然变化。这种现象在一定程度上取决于重力模拟技术,尽管垂直体重支撑系统的平滑过渡(0.4-0.6g)出现的精确水平往往低于倾斜体重支撑系统。此外,使用半中心振荡器神经机械模型进行的模拟表明,在 1g 时步态转换时运动模式的突然性可以从已经锚定在正常行走和奔跑速度范围内的特定参数中预测,而在低重力水平下,模型的参数对于两种人类步态是相似的。在低重力环境中,速度依赖型运动特征模式缺乏不连续变化,这与给定一组中枢模式发生器状态的连续变化的想法一致,而不是为每种不同的步态激活一组单独的中枢模式发生器。