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Modelling the Effects of Electrical Coupling between Unmyelinated Axons of Brainstem Neurons Controlling Rhythmic Activity

机译:模拟脑干神经元的无髓轴突之间控制节律活动的电耦合的影响。

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Gap junctions between fine unmyelinated axons can electrically couple groups of brain neurons to synchronise ?ring and contribute to rhythmic activity. To explore the distribution and significance of electrical coupling, we modelled a well analysed, small population of brainstem neurons which drive swimming in young frog tadpoles. A passive network of 30 multicompartmental neurons with unmyelinated axons was used to infer that: axon-axon gap junctions close to the soma gave the best match to experimentally measured coupling coef?cients; axon diameter had a strong in?uence on coupling; most neurons were coupled indirectly via the axons of other neurons. When active channels were added, gap junctions could make action potential propagation along the thin axons unreliable. Increased sodium and decreased potassium channel densities in the initial axon segment improved action potential propagation. Modelling suggested that the single spike ?ring to step current injection observed in whole-cell recordings is not a cellular property but a dynamic consequence of shunting resulting from electrical coupling. Without electrical coupling, firing of the population during depolarising current was unsynchronised; with coupling, the population showed synchronous recruitment and rhythmic firing. When activated instead by increasing levels of modelled sensory pathway input, the population without electrical coupling was recruited incrementally to unpatterned activity. However, when coupled, the population was recruited all-or-none at threshold into a rhythmic swimming pattern: the tadpole “decided” to swim. Modelling emphasises uncertainties about fine unmyelinated axon physiology but, when informed by biological data, makes general predictions about gap junctions: locations close to the soma; relatively small numbers; many indirect connections between neurons; cause of action potential propagation failure in fine axons; misleading alteration of intrinsic firing properties. Modelling also indicates that electrical coupling within a population can synchronize recruitment of neurons and their pacemaker firing during rhythmic activity.
机译:细无髓轴突之间的缝隙连接可以使大脑神经元组电耦合,从而同步放电并促进节律活动。为了探究电耦合的分布和意义,我们对经过充分分析的小脑干神经元种群进行了建模,这些脑干神经元在年轻的青蛙t中游泳。由30个多室神经元和无髓鞘轴突组成的被动网络可用来推断:靠近躯体的轴突-轴突间隙连接最适合于实验测量的耦合系数;轴突直径对耦合有很强的影响。大多数神经元通过其他神经元的轴突间接耦合。当添加活动通道时,间隙连接可能使动作电位沿细轴突的传播不可靠。初始轴突节段中钠的增加和钾通道密度的减少改善了动作电位的传播。建模表明,在全细胞记录中观察到的单次尖峰激发到阶跃电流注入不是细胞特性,而是电耦合引起的分流的动态结果。如果没有电耦合,则在去极化电流期间激发粒子群是不同步的。加上耦合,人口显示同步招募和有节奏的射击。当通过增加建模的感觉途径输入的水平来激活时,没有电耦合的种群逐渐被募集到无模式的活动中。但是,当结合在一起时,该人群被全部或完全没有门槛地招入有节奏的游泳模式:““决定”游泳。建模强调了关于无髓鞘的轴突生理的不确定性,但是,当从生物学数据得知时,可以对间隙连接做出一般性的预测:靠近躯体的位置;数量相对较少;神经元之间有许多间接联系;作用原因细轴突中潜在的传播失败;误解了内燃特性的改变。模型还表明,群体内的电耦合可以使节律活动期间神经元的募集及其起搏器放电同步。

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