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基于网络架构的脊髓运动核以及相关神经和肌肉的模拟系统。

Simulation system of spinal cord motor nuclei and associated nerves and muscles, in a Web-based architecture.

作者信息

Cisi Rogerio R L, Kohn André F

机构信息

Biomedical Engineering Laboratory, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil.

出版信息

J Comput Neurosci. 2008 Dec;25(3):520-42. doi: 10.1007/s10827-008-0092-8. Epub 2008 May 28.

Abstract

A Web-based simulation system of the spinal cord circuitry responsible for muscle control is described. The simulator employs two-compartment motoneuron models for S, FR and FF types, with synaptic inputs acting through conductance variations. Four motoneuron pools with their associated interneurons are represented in the simulator, with the possibility of inclusion of more than 2,000 neurons and 2,000,000 synapses. Each motoneuron action potential is followed, after a conduction delay, by a motor unit potential and a motor unit twitch. The sums of all motor unit potentials and twitches result in the electromyogram (EMG), and the muscle force, respectively. Inputs to the motoneuron pool come from populations of interneurons (Ia reciprocal inhibitory interneurons, Ib interneurons, and Renshaw cells) and from stochastic point processes associated with descending tracts. To simulate human electrophysiological experiments, the simulator incorporates external nerve stimulation with orthodromic and antidromic propagation. This provides the mechanisms for reflex generation and activation of spinal neuronal circuits that modulate the activity of another motoneuron pool (e.g., by reciprocal inhibition). The generation of the H-reflex by the Ia-motoneuron pool system and its modulation by spinal cord interneurons is included in the simulation system. Studies with the simulator may include the statistics of individual motoneuron or interneuron spike trains or the collective effect of a motor nucleus on the dynamics of muscle force control. Properties associated with motor-unit recruitment, motor-unit synchronization, recurrent inhibition and reciprocal inhibition may be investigated.

摘要

本文描述了一种基于网络的负责肌肉控制的脊髓电路模拟系统。该模拟器采用两室运动神经元模型来模拟S、FR和FF类型,突触输入通过电导变化起作用。模拟器中表示了四个运动神经元池及其相关的中间神经元,有可能包含超过2000个神经元和200万个突触。每个运动神经元动作电位在传导延迟后,会跟随一个运动单位电位和一个运动单位抽搐。所有运动单位电位和抽搐的总和分别产生肌电图(EMG)和肌肉力量。运动神经元池的输入来自中间神经元群体(Ia相互抑制性中间神经元、Ib中间神经元和闰绍细胞)以及与下行束相关的随机点过程。为了模拟人体电生理实验,模拟器结合了具有顺向和逆向传播的外部神经刺激。这提供了反射产生和脊髓神经元回路激活的机制,这些回路可调节另一个运动神经元池的活动(例如,通过相互抑制)。Ia运动神经元池系统产生H反射及其受脊髓中间神经元调节的过程包含在模拟系统中。使用该模拟器进行的研究可能包括单个运动神经元或中间神经元放电序列的统计,或运动核团对肌肉力量控制动力学的集体效应。可以研究与运动单位募集、运动单位同步、回返抑制和相互抑制相关的特性。

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