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运动神经元冲动适应分析。

Analysis of impulse adaptation in motoneurons.

机构信息

Department of Biology, University of Virginia, P.O. Box 400328, Charlottesville, VA 22904-4328, USA.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2010 Feb;196(2):123-36. doi: 10.1007/s00359-009-0499-3. Epub 2009 Dec 24.

Abstract

Animal locomotion results from muscle contraction and relaxation cycles that are generated within the central nervous system and then are relayed to the periphery by motoneurons. Thus, motoneuron function is an essential element for understanding control of animal locomotion. This paper presents motoneuron input-output relationships, including impulse adaptation, in the medicinal leech. We found that although frequency-current graphs generated by passing 1-s current pulses in neuron somata were non-linear, peak and steady-state graphs of frequency against membrane potential were linear, with slopes of 5.2 and 2.9 Hz/mV, respectively. Systems analysis of impulse frequency adaptation revealed a static threshold nonlinearity at -43 mV (impulse threshold) and a single time constant (tau = 88 ms). This simple model accurately predicts motoneuron impulse frequency when tested by intracellular injection of sinusoidal current. We investigated electrical coupling within motoneurons by modeling these as three-compartment structures. This model, combined with the membrane potential-impulse frequency relationship, accurately predicted motoneuron impulse frequency from intracellular records of soma potentials obtained during fictive swimming. A corollary result was that the product of soma-to-neurite and neurite-to-soma coupling coefficients in leech motoneurons is large, 0.85, implying that the soma and neurite are electrically compact.

摘要

动物的运动是由肌肉的收缩和松弛循环引起的,这些循环是在中枢神经系统中产生的,然后通过运动神经元传递到外周。因此,运动神经元的功能是理解动物运动控制的一个重要因素。本文介绍了医学环节动物的运动神经元输入-输出关系,包括冲动适应。我们发现,尽管通过在神经元胞体中传递 1 秒电流脉冲产生的频率-电流图是非线性的,但频率与膜电位的峰值和稳态图是线性的,斜率分别为 5.2 和 2.9 Hz/mV。对冲动频率适应的系统分析显示,在-43 mV 处存在静态阈值非线性(冲动阈值)和单个时间常数(tau = 88 ms)。当通过细胞内注入正弦电流对该简单模型进行测试时,它准确地预测了运动神经元的冲动频率。我们通过将这些神经元建模为三腔结构来研究运动神经元内的电耦合。该模型与膜电位-冲动频率关系相结合,准确地预测了在虚拟游泳期间从胞体电位的细胞内记录中获得的运动神经元冲动频率。一个推论结果是,环节动物运动神经元中的胞体-轴突和轴突-胞体的耦合系数乘积很大,为 0.85,这意味着胞体和轴突在电上是紧凑的。

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