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前庭核神经元的内在放电动力学。

Intrinsic firing dynamics of vestibular nucleus neurons.

作者信息

Sekirnjak Chris, du Lac Sascha

机构信息

Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, California 92037, USA.

出版信息

J Neurosci. 2002 Mar 15;22(6):2083-95. doi: 10.1523/JNEUROSCI.22-06-02083.2002.

Abstract

Individual brainstem neurons involved in vestibular reflexes respond to identical head movements with a wide range of firing responses. This diversity of firing dynamics has been commonly assumed to arise from differences in the types of vestibular nerve inputs to vestibular nucleus neurons. In this study we show that, independent of the nature of inputs, the intrinsic membrane properties of neurons in the medial vestibular nucleus substantially influence firing response dynamics. Hyperpolarizing and depolarizing inputs evoked a markedly heterogenous range of firing responses. Strong postinhibitory rebound firing (PRF) was associated with strong firing rate adaptation (FRA) and occurred preferentially in large multipolar neurons. In response to sinusoidally modulated input current, these neurons showed a pronounced phase lead with respect to neurons lacking strong PRF and FRA. A combination of the hyperpolarization-activated H current and slow potassium currents contributed to PRF, whereas FRA was predominantly mediated by slow potassium currents. An integrate-and-fire-type model, which simulated FRA and PRF, reproduced the phase lead observed in large neurons and showed that adaptation currents were primarily responsible for variations in response phase. We conclude that the heterogeneity of firing dynamics observed in response to head movements in intact animals reflects intrinsic as well as circuit properties.

摘要

参与前庭反射的单个脑干神经元对相同的头部运动表现出广泛的放电反应。这种放电动力学的多样性通常被认为源于前庭核神经元前庭神经输入类型的差异。在本研究中,我们表明,与输入性质无关,内侧前庭核中神经元的内在膜特性会显著影响放电反应动力学。超极化和去极化输入引发了明显异质的放电反应范围。强烈的抑制后反弹放电(PRF)与强烈的放电率适应(FRA)相关,且优先发生在大型多极神经元中。响应正弦调制的输入电流时,相对于缺乏强烈PRF和FRA的神经元,这些神经元表现出明显的相位超前。超极化激活的H电流和缓慢的钾电流共同促成了PRF,而FRA主要由缓慢的钾电流介导。一个模拟FRA和PRF的积分发放型模型再现了在大型神经元中观察到的相位超前,并表明适应电流主要负责反应相位的变化。我们得出结论,在完整动物中观察到的对头部运动的放电动力学异质性反映了内在特性以及电路特性。

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