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清醒小鼠海马阈下活动的脑状态依赖性

Brain State Dependence of Hippocampal Subthreshold Activity in Awake Mice.

作者信息

Hulse Brad K, Lubenov Evgueniy V, Siapas Athanassios G

机构信息

Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Blvd., Pasadena, CA 91125, USA.

Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Blvd., Pasadena, CA 91125, USA; Division of Engineering and Applied Science, California Institute of Technology, 1200 East California Blvd., Pasadena, CA 91125, USA; Computation and Neural Systems Program, California Institute of Technology, 1200 East California Blvd., Pasadena, CA 91125, USA.

出版信息

Cell Rep. 2017 Jan 3;18(1):136-147. doi: 10.1016/j.celrep.2016.11.084.

Abstract

Monitoring the membrane potential of individual neurons has uncovered how single-cell properties contribute to network processing across different brain states in neocortex. In contrast, the subthreshold modulation of hippocampal neurons by brain state has not been systematically characterized. To address this, we combined whole-cell recordings from dentate granule cells and CA1 pyramidal neurons with multisite extracellular recordings and behavioral measurements in awake mice. We show that the average membrane potential, amplitude of subthreshold fluctuations, and distance to spike threshold are all modulated by brain state. Furthermore, even within individual states, rapid variations in arousal are reflected in membrane potential fluctuations. These factors produce depolarizing ramps in the membrane potential of hippocampal neurons that precede ripples and mirror transitions to a network regime conducive for ripple generation. These results suggest that there are coordinated shifts in the subthreshold dynamics of individual neurons that underlie the transitions between distinct modes of hippocampal processing.

摘要

监测单个神经元的膜电位揭示了单细胞特性如何在新皮层的不同脑状态下对网络处理产生影响。相比之下,脑状态对海马神经元阈下调制的研究尚未系统开展。为了解决这一问题,我们将对齿状颗粒细胞和CA1锥体神经元的全细胞记录与清醒小鼠的多部位细胞外记录及行为测量相结合。我们发现,平均膜电位、阈下波动幅度和距动作电位阈值的距离均受脑状态调制。此外,即使在个体状态内,觉醒的快速变化也反映在膜电位波动中。这些因素在海马神经元的膜电位中产生去极化斜坡,该斜坡先于涟漪出现,并反映了向有利于涟漪产生的网络状态的转变。这些结果表明,单个神经元的阈下动力学存在协同变化,这是海马处理不同模式之间转换的基础。

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