Slow oscillations promote long-range effective communication: The key for memory consolidation in a broken-down network.
Slow oscillations promote long-range effective communication: The key for memory consolidation in a broken-down network.
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DOI：
10.1073/pnas.2122515119
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发表时间：
2022-06-28
影响因子：
11.1
通讯作者：
中科院分区：
文献类型：
--
作者：
这项工作介绍了一种非侵入性的方法来了解睡眠期间的信息处理。我们的研究结果表明，慢振荡（SO）提供的时间地形事件框架，从而远程信息流显着增加相比，相对于本地的活动模式的其余睡眠。这些发现代表了理解SO如何在破碎的网络中解锁记忆巩固的概念飞跃，这是通过促进长距离，有效的沟通。这项研究将促进进一步研究，了解脑振荡单独和嵌套节律如何促进网络通信，以及研究这些特性如何变化并预测临床人群和老年人的缺陷模式。认知神经科学中一个突出而有力的发现是在非快速眼动（NREM）睡眠期间记忆的加强，慢振荡（SO;<1Hz）在系统水平的巩固中起着关键作用。然而，NREM通常显示出随着深度的增加，连接性的破坏和突触可塑性的降低：一种似乎不利于记忆巩固的大脑状态。在这里，我们提出了一种方法来解决这个明显的悖论，利用事件相关的因果关系的措施，以估计定向信息流在NREM的时代和没有SO。我们的研究结果证实，NREM一般是一个国家的抑制神经通信，但揭示了SO提供了两个窗口，增强大规模的通信之前和之后的SO槽。与未耦合的SO相比，当SO与睡眠纺锤波耦合时，这些通信峰值显著更高。为了探索这些SO选择性信息流峰值的功能相关性，我们测试了预测夜间情景记忆改善的时间和地形条件。我们的研究结果表明，全球性的，长距离的通信在SO促进睡眠依赖系统的情景记忆的巩固。信息流峰值和记忆改善之间的显著相关性为我们对有效连接的测量提供了预测有效性。换句话说，我们能够根据睡眠期间的独立电生理观察来预测记忆改善。这项工作介绍了一种非侵入性的方法来理解睡眠期间的信息处理，并提供了一种机制，说明系统级的大脑通信如何在低连通性睡眠状态下发生。简而言之，SO是大规模神经通信的门控机制，是系统巩固和长期记忆形成的必要基质。
This work introduces a noninvasive approach to understanding information processing during sleep. Our results demonstrate that slow oscillations (SOs) provide the temporal-topographical event framework whereby long-range information flow increases dramatically compared to the relatively local activity patterns of the rest of sleep. The findings represent a conceptual leap in understanding how SOs unlock memory consolidation in a broken-down network, which is by promoting long-range, effective communication. This research will promote further investigations of understanding how brain oscillations alone and in nested rhythms promote network communication, as well as investigate how these properties vary and predict patterns of deficits in clinical populations and aging humans. A prominent and robust finding in cognitive neuroscience is the strengthening of memories during nonrapid eye movement (NREM) sleep, with slow oscillations (SOs;<1Hz) playing a critical role in systems-level consolidation. However, NREM generally shows a breakdown in connectivity and reduction of synaptic plasticity with increasing depth: a brain state seemingly unfavorable to memory consolidation. Here, we present an approach to address this apparent paradox that leverages an event-related causality measure to estimate directional information flow during NREM in epochs with and without SOs. Our results confirm that NREM is generally a state of dampened neural communication but reveals that SOs provide two windows of enhanced large-scale communication before and after the SO trough. These peaks in communication are significantly higher when SOs are coupled with sleep spindles compared with uncoupled SOs. To probe the functional relevance of these SO-selective peaks of information flow, we tested the temporal and topographic conditions that predict overnight episodic memory improvement. Our results show that global, long-range communication during SOs promotes sleep-dependent systems consolidation of episodic memories. A significant correlation between peaks of information flow and memory improvement lends predictive validity to our measurements of effective connectivity. In other words, we were able to predict memory improvement based on independent electrophysiological observations during sleep. This work introduces a noninvasive approach to understanding information processing during sleep and provides a mechanism for how systems-level brain communication can occur during an otherwise low connectivity sleep state. In short, SOs are a gating mechanism for large-scale neural communication, a necessary substrate for systems consolidation and long-term memory formation.
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DOI：
10.1126/science.1166673
发表时间：
2009-04-03
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Gilestro GF;Tononi G;Cirelli C
通讯作者：
Cirelli C
影响因子：
3
作者：
LEGATT, AD;AREZZO, J;VAUGHAN, HG
通讯作者：
VAUGHAN, HG
影响因子：
4.8
作者：
Aho, Ken;Derryberry, DeWayne;Peterson, Teri
通讯作者：
Peterson, Teri
影响因子：
5.3
作者：
Marshall, L;Mölle, M;Born, J
通讯作者：
Born, J
影响因子：
5.5
作者：
BLISS, TVP;LOMO, T
通讯作者：
LOMO, T