睡眠纺锤
神经科学
睡眠(系统调用)
脑电图
断开
公制(单位)
质量(理念)
自回归模型
动力学(音乐)
物理
慢波睡眠
电生理学
功能(生物学)
心理学
生物
计算机科学
数学
声学
细胞生物学
统计
操作系统
运营管理
量子力学
政治学
法学
经济
作者
Cristina Blanco‐Duque,Suraya A. Bond,Lukas B. Krone,Jean-Philippe Dufour,Edward Gillen,Ross J. Purple,Martin C. Kahn,David M. Bannerman,Edward O. Mann,Peter Achermann,Eckehard Olbrich,Vladyslav V. Vyazovskiy
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2024-09-06
卷期号:10 (36)
标识
DOI:10.1126/sciadv.adn6247
摘要
Here, we characterized the dynamics of sleep spindles, focusing on their damping, which we estimated using a metric called oscillatory-Quality (o-Quality), derived by fitting an autoregressive model to electrophysiological signals, recorded from the cortex in mice. The o-Quality of sleep spindles correlates weakly with their amplitude, shows marked laminar differences and regional topography across cortical regions, reflects the level of synchrony within and between cortical networks, is strongly modulated by sleep-wake history, reflects the degree of sensory disconnection, and correlates with the strength of coupling between spindles and slow waves. As most spindle events are highly localized and not detectable with conventional low-density recording approaches, o-Quality thus emerges as a valuable metric that allows us to infer the spread and dynamics of spindle activity across the brain and directly links their spatiotemporal dynamics with local and global regulation of brain states, sleep regulation, and function.
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