Logan David, Kiemel Tim, Jeka John J
Department of Kinesiology, University of Maryland College Park, MD, USA.
Department of Kinesiology, Temple UniversityPhiladelphia, PA, USA; Department of Bioengineering, Temple UniversityPhiladelphia, PA, USA.
Front Comput Neurosci. 2017 Jan 11;10:146. doi: 10.3389/fncom.2016.00146. eCollection 2016.
Here we apply a control theoretic view of movement to the behavior of human locomotion with the goal of using perturbations to learn about subtask control. Controlling one's speed and maintaining upright posture are two critical subtasks, or underlying functions, of human locomotion. How the nervous system simultaneously controls these two subtasks was investigated in this study. Continuous visual and mechanical perturbations were applied concurrently to subjects ( = 20) as probes to investigate these two subtasks during treadmill walking. Novel application of harmonic transfer function (HTF) analysis to human motor behavior was used, and these HTFs were converted to the time-domain based representation of phase-dependent impulse response functions (ϕIRFs). These ϕIRFs were used to identify the mapping from perturbation inputs to kinematic and electromyographic (EMG) outputs throughout the phases of the gait cycle. Mechanical perturbations caused an initial, passive change in trunk orientation and, at some phases of stimulus presentation, a corrective trunk EMG and orientation response. Visual perturbations elicited a trunk EMG response prior to a trunk orientation response, which was subsequently followed by an anterior-posterior displacement response. This finding supports the notion that there is a temporal hierarchy of functional subtasks during locomotion in which the control of upper-body posture precedes other subtasks. Moreover, the novel analysis we apply has the potential to probe a broad range of rhythmic behaviors to better understand their neural control.
在此,我们将运动的控制理论观点应用于人类行走行为,目的是利用扰动来了解子任务控制。控制速度和保持直立姿势是人类行走的两个关键子任务,或潜在功能。本研究探讨了神经系统如何同时控制这两个子任务。在跑步机行走过程中,对20名受试者同时施加连续的视觉和机械扰动作为探针,以研究这两个子任务。采用了谐波传递函数(HTF)分析在人类运动行为中的新应用,并将这些HTF转换为基于相位依赖脉冲响应函数(ϕIRF)的时域表示。这些ϕIRF用于识别在步态周期各阶段从扰动输入到运动学和肌电图(EMG)输出的映射。机械扰动导致躯干方向的初始被动变化,并且在刺激呈现的某些阶段,引发躯干EMG和方向的校正响应。视觉扰动在躯干方向响应之前引发躯干EMG响应,随后是前后位移响应。这一发现支持了这样一种观点,即在行走过程中功能子任务存在时间层次结构,其中上身姿势的控制先于其他子任务。此外,我们应用的新分析方法有潜力探究广泛的节律性行为,以更好地理解其神经控制。