High-Resolution Spectral Sleep Analysis Reveals a Novel Association Between Slow Oscillations and Memory Retention in Elderly Adults.
High-Resolution Spectral Sleep Analysis Reveals a Novel Association Between Slow Oscillations and Memory Retention in Elderly Adults.
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DOI：
10.3389/fnagi.2020.540424
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发表时间：
2020
影响因子：
4.8
通讯作者：
O'Hara R
中科院分区：
文献类型：
--
作者：
Kawai M;Schneider LD;Linkovski O;Jordan JT;Karna R;Pirog S;Cotto I;Buck C;Giardino WJ;O'Hara R
目的：认识到传统的慢波睡眠和记忆之间的混合关联，我们试图探索老年人慢波睡眠、睡眠中的脑电功率谱和过夜言语记忆保持之间的关系。设计、设置、参与者和测量：参与者为101名非痴呆症成年人(52%为女性，平均年龄70.3岁)。在夜间多导睡眠图(PSG)之前的晚上，首先测试了延迟的言语记忆。第二天早上，受试者被要求从相同的清单中回忆尽可能多的项目(过夜记忆保持；OMR)。偏相关分析考察了言语记忆延迟和OMR与慢波睡眠(SWS)和两个生理性脑电慢波活动(SWA)功率谱带(0.5-1赫兹慢振荡与1-4赫兹增量活动)之间的关系。结果：在有SWS表现的受试者中，SWS与增强的延迟言语记忆有关，而与OMR无关。有趣的是，在没有表现出SWS的参与者中，OMR与第一个超短波周期的NREM睡眠中较高的慢振荡相对功率显著相关，影响大小中等。结论：这些发现表明SWS和记忆之间存在复杂的关系，并说明即使在没有可评分的SWS的情况下，老年人也表现出相当大的慢波活动。此外，在第一个超新星周期中，这些慢振荡(0.5-1赫兹)与OMR呈正相关，但仅在那些没有SWS的人中。我们的发现提出了这样一种可能性，即慢波活动的准确特征在健康衰老过程中维持记忆功能方面发挥着关键作用。此外，我们的结果强调，传统的睡眠评估方法可能不够敏感，无法检测老年人SWA和记忆之间的联系。
Objective: In recognition of the mixed associations between traditionally scored slow wave sleep and memory, we sought to explore the relationships between slow wave sleep, electroencephalographic (EEG) power spectra during sleep and overnight verbal memory retention in older adults. Design, Setting, Participants, and Measurements: Participants were 101 adults without dementia (52% female, mean age 70.3 years). Delayed verbal memory was first tested in the evening prior to overnight polysomnography (PSG). The following morning, subjects were asked to recall as many items as possible from the same List (overnight memory retention; OMR). Partial correlation analyses examined the associations of delayed verbal memory and OMR with slow wave sleep (SWS) and two physiologic EEG slow wave activity (SWA) power spectral bands (0.5–1 Hz slow oscillations vs. 1–4 Hz delta activity). Results: In subjects displaying SWS, SWS was associated with enhanced delayed verbal memory, but not with OMR. Interestingly, among participants that did not show SWS, OMR was significantly associated with a higher slow oscillation relative power, during NREM sleep in the first ultradian cycle, with medium effect size. Conclusions: These findings suggest a complex relationship between SWS and memory and illustrate that even in the absence of scorable SWS, older adults demonstrate substantial slow wave activity. Further, these slow oscillations (0.5–1 Hz), in the first ultradian cycle, are positively associated with OMR, but only in those without SWS. Our findings raise the possibility that precise features of slow wave activity play key roles in maintaining memory function in healthy aging. Further, our results underscore that conventional methods of sleep evaluation may not be sufficiently sensitive to detect associations between SWA and memory in older adults.
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