Transient oscillation dynamics during sleep provide a robust basis for electroencephalographic phenotyping and biomarker identification.
Transient oscillation dynamics during sleep provide a robust basis for electroencephalographic phenotyping and biomarker identification.
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睡眠脑电图中的瞬时振荡事件代表了短期协调的网络活动。特别重要的是，睡眠纺锤波是与记忆巩固相关的短暂振荡事件，其在衰老和几种精神病和神经退行性疾病中发生改变。然而，主轴识别，目前包含隐含的假设来自什么波形是历史上最容易辨别的眼睛，最近已被证明只选择一个高振幅的瞬态事件的子集。此外，纺锤波活动通常在整个睡眠阶段被平均化，将连续的动态分解成离散的状态。通过扩展我们对瞬态振荡事件及其动力学的看法，我们可以获得什么信息？在本文中，我们开发了一种新的方法，脑电图表型，其特征在于一个广义类的瞬态时频事件在很宽的频率范围内使用连续动力学。我们证明，在睡眠过程中的瞬态事件的复杂的时间演变是高度刻板的慢振荡功率（一个客观的，连续的度量睡眠深度）和相位（相关的皮质上/下状态）的函数时，被视为。这种双重功率相位表示具有很大的受试者间变异性-即使在健康对照组内-但对个体来说具有很强的夜间稳定性，这表明表型分析具有强大的基础。作为临床应用，我们随后分析了精神分裂症患者，确认了已建立的纺锤波（12-15 Hz）缺陷，并确定了低α（7-10 Hz）和θ（4-6 Hz）范围内短暂非快速眼动事件的新差异。总的来说，这些结果提供了一个扩展的视图瞬态活动，描述了广泛的一类事件的属性不断变化的空间，时间和相位耦合维度。
Transient oscillatory events in the sleep electroencephalogram represent short-term coordinated network activity. Of particular importance, sleep spindles are transient oscillatory events associated with memory consolidation, which are altered in aging and in several psychiatric and neurodegenerative disorders. Spindle identification, however, currently contains implicit assumptions derived from what waveforms were historically easiest to discern by eye, and has recently been shown to select only a high-amplitude subset of transient events. Moreover, spindle activity is typically averaged across a sleep stage, collapsing continuous dynamics into discrete states. What information can be gained by expanding our view of transient oscillatory events and their dynamics? In this paper, we develop a novel approach to electroencephalographic phenotyping, characterizing a generalized class of transient time-frequency events across a wide frequency range using continuous dynamics. We demonstrate that the complex temporal evolution of transient events during sleep is highly stereotyped when viewed as a function of slow oscillation power (an objective, continuous metric of depth-of-sleep) and phase (a correlate of cortical up/down states). This two-fold power-phase representation has large intersubject variability—even within healthy controls—yet strong night-to-night stability for individuals, suggesting a robust basis for phenotyping. As a clinical application, we then analyze patients with schizophrenia, confirming established spindle (12–15 Hz) deficits as well as identifying novel differences in transient non-rapid eye movement events in low-alpha (7–10 Hz) and theta (4–6 Hz) ranges. Overall, these results offer an expanded view of transient activity, describing a broad class of events with properties varying continuously across spatial, temporal, and phase-coupling dimensions.
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影响因子：
29.9
作者：
Djonlagic, Ina;Mariani, Sara;Fitzpatrick, Annette L.;Van der Klei, Veerle M. G. T. H.;Johnson, Dayna A.;Wood, Alexis C.;Seeman, Teresa;Nguyen, Ha T.;Prerau, Michael J.;Luchsinger, Jose A.;Dzierzewski, Joseph M.;Rapp, Stephen R.;Tranah, Gregory J.;Yaffe, Kristine;Burdick, Katherine E.;Stone, Katie L.;Redline, Susan;Purcell, Shaun M.
通讯作者：
Purcell, Shaun M.
影响因子：
4.5
作者：
Baran B;Correll D;Vuper TC;Morgan A;Durrant SJ;Manoach DS;Stickgold R
通讯作者：
Stickgold R
影响因子：
5.7
作者：
Dauwels, J.;Vialatte, F.;Cichocki, A.
通讯作者：
Cichocki, A.
影响因子：
5.7
作者：
De Gennaro, L;Ferrara, M;Bertini, M
通讯作者：
Bertini, M
影响因子：
3.8
作者：
ACHERMANN, P;DIJK, DJ;BORBELY, AA
通讯作者：
BORBELY, AA