首页> 美国卫生研究院文献>PLoS Computational Biology >Spinal Mechanisms May Provide a Combination of Intermittent and Continuous Control of Human Posture: Predictions from a Biologically Based Neuromusculoskeletal Model
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Spinal Mechanisms May Provide a Combination of Intermittent and Continuous Control of Human Posture: Predictions from a Biologically Based Neuromusculoskeletal Model

机译:脊柱机制可能会提供间歇性和持续性控制人体姿势的组合:基于生物学的神经肌肉骨骼模型的预测

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摘要

Several models have been employed to study human postural control during upright quiet stance. Most have adopted an inverted pendulum approximation to the standing human and theoretical models to account for the neural feedback necessary to keep balance. The present study adds to the previous efforts in focusing more closely on modelling the physiological mechanisms of important elements associated with the control of human posture. This paper studies neuromuscular mechanisms behind upright stance control by means of a biologically based large-scale neuromusculoskeletal (NMS) model. It encompasses: i) conductance-based spinal neuron models (motor neurons and interneurons); ii) muscle proprioceptor models (spindle and Golgi tendon organ) providing sensory afferent feedback; iii) Hill-type muscle models of the leg plantar and dorsiflexors; and iv) an inverted pendulum model for the body biomechanics during upright stance. The motor neuron pools are driven by stochastic spike trains. Simulation results showed that the neuromechanical outputs generated by the NMS model resemble experimental data from subjects standing on a stable surface. Interesting findings were that: i) an intermittent pattern of muscle activation emerged from this posture control model for two of the leg muscles (Medial and Lateral Gastrocnemius); and ii) the Soleus muscle was mostly activated in a continuous manner. These results suggest that the spinal cord anatomy and neurophysiology (e.g., motor unit types, synaptic connectivities, ordered recruitment), along with the modulation of afferent activity, may account for the mixture of intermittent and continuous control that has been a subject of debate in recent studies on postural control. Another finding was the occurrence of the so-called “paradoxical” behaviour of muscle fibre lengths as a function of postural sway. The simulations confirmed previous conjectures that reciprocal inhibition is possibly contributing to this effect, but on the other hand showed that this effect may arise without any anticipatory neural control mechanism.
机译:已经采用了几种模型来研究人在直立安静姿势期间的姿势控制。大多数人对站立的人体模型和理论模型采用了倒立摆近似,以说明保持平衡所必需的神经反馈。本研究增加了以前的工作,以更紧密地集中于建模与控制人体姿势有关的重要元素的生理机制。本文研究了基于生物学的大规模神经肌肉骨骼(NMS)模型在直立姿势控制背后的神经肌肉机制。它包括:i)基于电导的脊髓神经元模型(运动神经元和中间神经元); ii)提供感觉传入反馈的肌肉本体感受器模型(纺锤体和高尔基肌腱器官); iii)腿plant和背屈肌的丘陵型肌肉模型; iv)直立姿势期间人体生物力学的倒立摆模型。运动神经元池由随机峰值序列驱动。仿真结果表明,由NMS模型生成的神经机械输出类似于来自站在稳定表面上的受试者的实验数据。有趣的发现是:i)从这种姿势控制模型中出现了两条腿部肌肉(内侧和外侧腓肠肌)的间歇性肌肉激活模式; ii)比目鱼肌大部分以连续方式被激活。这些结果表明,脊髓解剖学和神经生理学(例如,运动单位类型,突触连接性,有序募集)以及传入活动的调节,可能解释了间歇控制和连续控制的混合,这一直是争论的主题。姿势控制的最新研究。另一个发现是肌肉纤维长度的所谓“自相矛盾”行为随姿势摇摆而变化。该模拟证实了先前的推测,即相互抑制可能是造成这种效应的原因,但另一方面表明,在没有任何预期的神经控制机制的情况下,这种效应可能会出现。

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