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海马体在睡眠/觉醒周期中的信息处理。

Hippocampal information processing across sleep/wake cycles.

作者信息

Mizuseki Kenji, Miyawaki Hiroyuki

机构信息

Department of Physiology, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan; Center for Brain Science, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.

Department of Physiology, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan; Center for Brain Science, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.

出版信息

Neurosci Res. 2017 May;118:30-47. doi: 10.1016/j.neures.2017.04.018. Epub 2017 May 12.

Abstract

According to a two-stage memory consolidation model, during waking theta states, afferent activity from the neocortex to the hippocampus induces transient synaptic modification in the hippocampus, where the information is deposited as a labile form of memory trace. During subsequent sharp-wave ripples (SPW-Rs), the newly acquired hippocampal information is transferred to the neocortex and stored as a long-lasting memory trace. Consistent with this hypothesis, waking theta states and SPW-Rs distinctly control information flow in the hippocampal-entorhinal loop. Although both waking theta states and rapid eye movement (REM) sleep are characterized by prominent hippocampal theta oscillations, the two brain states involve distinct temporal coordination and oscillatory coupling in the hippocampal-entorhinal circuit. While distinct brain states have distinct network dynamics, firing rates of individual neurons in the hippocampal-entorhinal circuitry follow lognormal-like distributions in all states. Firing rates of the same neurons are positively correlated across brain states and testing environments, suggesting that memory is allocated in preconfigured, rather than tabula rasa-type, skewed neuronal networks. The fast-firing minority and slow-firing majority neurons, which can support network stability and flexibility, are under distinct homeostatic regulations that are initiated by spindles and SPW-Rs during slow wave sleep and implemented during subsequent REM sleep.

摘要

根据两阶段记忆巩固模型,在清醒时的θ波状态下,从新皮质到海马体的传入活动会在海马体中诱导短暂的突触修饰,信息以不稳定的记忆痕迹形式存储于此。在随后的尖波涟漪(SPW-Rs)期间,新获取的海马体信息被转移到新皮质并存储为持久的记忆痕迹。与该假设一致,清醒时的θ波状态和SPW-Rs明显控制着海马体-内嗅环路中的信息流。尽管清醒时的θ波状态和快速眼动(REM)睡眠都以显著的海马体θ振荡为特征,但这两种脑状态在海马体-内嗅回路中涉及不同的时间协调和振荡耦合。虽然不同的脑状态具有不同的网络动态,但海马体-内嗅回路中单个神经元的放电率在所有状态下都遵循对数正态分布。同一神经元的放电率在不同脑状态和测试环境中呈正相关,这表明记忆分配在预先配置好的、而非白板型的倾斜神经元网络中。快速放电的少数神经元和慢速放电的多数神经元能够支持网络的稳定性和灵活性,它们受到不同的稳态调节,这些调节在慢波睡眠期间由纺锤波和SPW-Rs启动,并在随后的REM睡眠期间实施。

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