Roles of aging in sleep

Zhong, Huahua; Yu, Bo; Luo, Dan; Yang, Liang-Yan; Zhang, Jin; Jiang, Shasha; Hu, Song; Luo, Yun; Yang, Mei-wen; Hong, Fashui; Yang, Shaoyu

doi:10.1016/j.neubiorev.2019.01.013

Cited by 47 publications

(28 citation statements)

References 126 publications

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“…Altogether, the diversity of regulatory mechanisms, reaching from genes and cells to neurotransmitters and brain networks (Hobson & Pace‐Schott; Pace‐Schott & Hobson, ), makes sleep susceptible to a wide range of possible interference. In consequence, the causes and the appearance of age‐related changes in sleep are manifold and diverse (Dubé et al, ; Fogel et al, , ; Mander et al, ; Muehlroth et al, ; Zhong et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, with advancing age, high‐amplitude slow oscillations (<1 Hz), slow delta waves (1–4 Hz), and discrete sleep spindles (11–16 Hz) defining NREM sleep appear less often and with reduced amplitudes and altered topography (Crowley et al, ; Dubé et al, ; Fogel et al, ; Landolt & Borbély, ; Landolt, Dijk, Achermann, & Borbély, ; Martin et al, ). Diminished homeostatic sleep pressure, circadian shifts, dysregulation of neurotransmitters, and structural brain alterations may contribute to these pronounced changes in sleep during aging (for more details see Dijk et al, ; Mander et al, ; Monk, ; Skeldon, Derks, & Dijk, ; Zhong et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Understanding the interplay of sleep and aging: Methodological challenges

Muehlroth

Werkle‐Bergner

2020

Psychophysiology

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This is an open access article under the terms of the Creat ive Commo ns Attri butio n-NonCo mmerc ial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. AbstractIn quest of new avenues to explain, predict, and treat pathophysiological conditions during aging, research on sleep and aging has flourished. Despite the great scientific potential to pinpoint mechanistic pathways between sleep, aging, and pathology, only little attention has been paid to the suitability of analytic procedures applied to study these interrelations. On the basis of electrophysiological sleep and structural brain data of healthy younger and older adults, we identify, illustrate, and resolve methodological core challenges in the study of sleep and aging. We demonstrate potential biases in common analytic approaches when applied to older populations.We argue that uncovering age-dependent alterations in the physiology of sleep requires the development of adjusted and individualized analytic procedures that filter out age-independent interindividual differences. Age-adapted methodological approaches are thus required to foster the development of valid and reliable biomarkers of age-associated cognitive pathologies. K E Y W O R D Saging, Alzheimer, automated event detection, polysomnography, sleep, slow oscillations, spindles Note: Z and p values were derived from nonparametric Mann-Whitney U tests comparing sleep parameters between younger and older adults. Sleep stage percentages are calculated as proportions of TST.Abbreviations: CI, confidence interval; qrt, quartile; REM, rapid eye movement sleep; SWS, slow-wave sleep; TST, total sleep time; WASO, wake after sleep onset (i.e., time awake between sleep onset and final morning awakening).

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding the interplay of sleep and aging: Methodological challenges

Muehlroth

Werkle‐Bergner

2020

Psychophysiology

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“…Altogether, the diversity of regulatory mechanisms, reaching from genes and cells to neurotransmitters and brain networks (Hobson and Pace-Schott; Pace-Schott and , makes sleep susceptible to a wide range of possible interference. In consequence, the causes and the appearance of age-related changes in sleep are manifold and diverse (Dubé et al, 2015;Fogel et al, 2012Fogel et al, , 2017Mander et al, 2017;Muehlroth et al, 2019b;Zhong et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…Diminished homeostatic sleep pressure, circadian shifts, dysregulation of neurotransmitters, and structural brain alterations may contribute to these pronounced changes in sleep during aging (for more details see Dijk et al, 2000;Mander et al, 2017;Monk et al, 2005;Skeldon et al, 2016;Zhong et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Understanding the interplay of sleep and aging: Methodological challenges

Muehlroth

Werkle‐Bergner

2019

Preprint

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In quest of new avenues to explain, predict, and treat pathophysiological conditions during aging, research on sleep and aging has flourished. Despite the great scientific potential to pinpoint mechanistic pathways between sleep, aging, and pathology, only little attention has been paid to the suitability of analytic procedures applied to study these interrelations. On the basis of electrophysiological sleep and structural brain data of healthy younger and older adults, we identify, illustrate, and resolve methodological core challenges in the study of sleep and aging. We demonstrate potential biases in common analytic approaches when applied to older populations. We argue that uncovering age‐dependent alterations in the physiology of sleep requires the development of adjusted and individualized analytic procedures that filter out age‐independent interindividual differences. Age‐adapted methodological approaches are thus required to foster the development of valid and reliable biomarkers of age‐associated cognitive pathologies.

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“…[25]). Compromised generation and propagation of sleep oscillations (spindles and slow waves) have been linked to age-related cortical thinning [26].…”

Section: Association Between Brain Structure and Electrophysiologicalmentioning

confidence: 99%

Sleep, rest-activity fragmentation and structural brain changes related to the ageing process

Baillet

Schmidt

2020

Current Opinion in Behavioral Sciences

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Increasing evidence suggests an association between typical age-related changes in sleep and brain structure. Here we review studies exploring the association between human histopathological and in vivo neuroimaging markers of brain structure and sleep-wake parameters in healthy older adults. Evidence from both large-scale epidemiological studies and inlab quantification of specific sleep signatures are reviewed and advantages and pitfalls highlighted. Overall, the results point to an association between sleep-wake disruption and both local and diffuse changes in brain structure. The associative strength largely varies between studies and seems to partially depend on the sleep trait under investigation. The role of specific sleepwake regulating mechanisms on human cognitive and brain fitness and more particularly their causal relationship remains to be disentangled.

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Roles of aging in sleep

Cited by 47 publications

References 126 publications

Understanding the interplay of sleep and aging: Methodological challenges

Understanding the interplay of sleep and aging: Methodological challenges

Understanding the interplay of sleep and aging: Methodological challenges

Sleep, rest-activity fragmentation and structural brain changes related to the ageing process

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