Macro and micro sleep architecture and cognitive performance in older adults.
Macro and micro sleep architecture and cognitive performance in older adults.
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DOI：
10.1038/s41562-020-00964-y
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发表时间：
2021-01
影响因子：
29.9
通讯作者：
Purcell, Shaun M.
中科院分区：
文献类型：
--
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.
我们试图确定睡眠神经生理学的哪些方面与来自两个独立队列的3，819名老年人的认知表现最密切相关，使用整夜脑电图（EEG）。从150多个客观睡眠指标中，我们确定了23个预测认知表现，特别是处理速度的指标，其影响与睡眠质量和数量的总体变化基本无关。包括REM持续时间，来自多变量分析的EEG功率谱的特征，以及纺锤波和慢振荡形态和耦合。这些指标进一步嵌入到更广泛的关联网络中，将睡眠与衰老和心脏代谢疾病联系起来：与年龄相仿的同龄人相比，认知表现更好的人往往在更年轻，更健康的人中更常见睡眠指标。总之，我们的研究结果指出了睡眠神经生理学的多个方面，这些方面与老年人认知和身体健康轨迹的潜在年龄依赖性决定因素相一致。
We sought to determine which facets of sleep neurophysiology were most strongly linked to cognitive performance in 3,819 older adults from two independent cohorts, using whole-night electroencephalography (EEG). From over 150 objective sleep metrics, we identified 23 that predicted cognitive performance, and processing speed in particular, with effects that were broadly independent of gross changes in sleep quality and quantity. Metrics including REM duration, features of the EEG power spectra derived from multivariate analysis, and spindle and slow oscillation morphology and coupling. These metrics were further embedded within broader associative networks linking sleep with aging and cardiometabolic disease: individuals who, compared to similarly aged peers, had better cognitive performance tended to have profiles of sleep metrics more often seen in younger, healthier individuals. Taken together, our results point to multiple facets of sleep neurophysiology that track coherently with underlying, age-dependent determinants of cognitive and physical health trajectories in older adults.
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