The Rise and Fall of Slow Wave Tides: Vacillations in Coupled Slow Wave/Spindle Pairing Shift the Composition of Slow Wave Activity in Accordance With Depth of Sleep.

The Rise and Fall of Slow Wave Tides: Vacillations in Coupled Slow Wave/Spindle Pairing Shift the Composition of Slow Wave Activity in Accordance With Depth of Sleep.
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DOI:
10.3389/fnins.2022.915934
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发表时间:
2022
影响因子:
4.3
通讯作者:
Bettcher, Brianne M.
Bettcher, Brianne M.
中科院分区:
医学2区
文献类型:
--
作者:
McConnell, Brice V.;Kronberg, Eugene;Medenblik, Lindsey M.;Kheyfets, Vitaly O.;Ramos, Alberto R.;Sillau, Stefan H.;Pulver, Rachelle L.;Bettcher, Brianne M.

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睡眠中的慢波活动与突触调节和记忆处理功能有关。在N2期和N3期睡眠之间的转换过程中,每个非快速眼动(NREM)睡眠周期显示出SWA量的增加和减弱,而N3睡眠的加深与SWA值的增加有关。此外,SWA是不同类型慢波的混合体,每种慢波都可以通过它们与具有不同生理特征的纺锤体亚型的时间耦合来识别。这项研究的目的是为了更好地了解区分不同慢波和纺锤波亚型的神经生物学特性,并检查不同NREM睡眠周期中SWA的组成。我们进一步试图探索在老年成年人中发生的NREM周期的组成变化。为了解决这些目标,我们分析了来自两个特征良好的健康成年人队列的数据子集:(1)梦主题数据库(n=20),和(2)克利夫兰家庭研究(n=60)。我们的分析表明,慢波/纺锤波耦合事件在脑电(EEG)通道之间的相对分布可以表现为额部和中央的特征。额叶优势慢波可通过其与晚-快纺锤波的耦合来识别,并在N3期睡眠中更频繁地出现。相反,与中枢相关的慢波通过与早-快纺锤波的耦合而被识别,并倾向于在N2期睡眠中发生。这两种类型的慢波/纺锤波耦合事件共同构成了SWA的组合,它们对SWA的相对贡献随着睡眠深度的不同而在NREM睡眠周期中上升和下降。探索性分析表明,老年人产生不同的SWA成分,并转向N3,额叶亚型,在NREM睡眠周期中变得越来越主导。总体而言,这些数据表明,慢波/纺锤波事件的亚型具有不同的皮质传播模式,并且它们在较浅和较深的NREM睡眠中的分布不同。为了了解慢波睡眠和慢波/纺锤波耦合如何影响记忆表现和神经系统疾病,未来的努力可能会受益于检查SWA的组成,以避免在比较不同的神经生理事件时可能发生的潜在混淆。
Slow wave activity (SWA) during sleep is associated with synaptic regulation and memory processing functions. Each cycle of non-rapid-eye-movement (NREM) sleep demonstrates a waxing and waning amount of SWA during the transitions between stages N2 and N3 sleep, and the deeper N3 sleep is associated with an increased density of SWA. Further, SWA is an amalgam of different types of slow waves, each identifiable by their temporal coupling to spindle subtypes with distinct physiological features. The objectives of this study were to better understand the neurobiological properties that distinguish different slow wave and spindle subtypes, and to examine the composition of SWA across cycles of NREM sleep. We further sought to explore changes in the composition of NREM cycles that occur among aging adults. To address these goals, we analyzed subsets of data from two well-characterized cohorts of healthy adults: (1) The DREAMS Subjects Database (n = 20), and (2) The Cleveland Family Study (n = 60). Our analyses indicate that slow wave/spindle coupled events can be characterized as frontal vs. central in their relative distribution between electroencephalography (EEG) channels. The frontal predominant slow waves are identifiable by their coupling to late-fast spindles and occur more frequently during stage N3 sleep. Conversely, the central-associated slow waves are identified by coupling to early-fast spindles and favor occurrence during stage N2 sleep. Together, both types of slow wave/spindle coupled events form the composite of SWA, and their relative contribution to the SWA rises and falls across cycles of NREM sleep in accordance with depth of sleep. Exploratory analyses indicated that older adults produce a different composition of SWA, with a shift toward the N3, frontal subtype, which becomes increasingly predominant during cycles of NREM sleep. Overall, these data demonstrate that subtypes of slow wave/spindle events have distinct cortical propagation patterns and differ in their distribution across lighter vs. deeper NREM sleep. Future efforts to understand how slow wave sleep and slow wave/spindle coupling impact memory performance and neurological disease may benefit from examining the composition of SWA to avoid potential confounds that may occur when comparing dissimilar neurophysiological events.
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