Unraveling the genetic underpinnings of sleep deprivation-induced impairments in human cognition

Satterfield, Brieann C.; Stucky, Benjamin; Landolt, Hans‐Peter; Dongen, Hans P A Van

doi:10.1016/bs.pbr.2019.03.026

Cited by 26 publications

(16 citation statements)

References 110 publications

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“…Predictive quality of baseline sleep EEG properties has been researched in several contexts [ 8 , 79 ], e.g. on next morning cognitive abilities [ 45 ], on cognitive abilities in response to sleep deprivation [ 80 , 81 ], or of spindle features on cognitive abilities [ 18 , 82 ]. Increased SO-spindle coupling strength from childhood to adolescence was correlated positively with overnight memory consolidation [ 65 ].…”

Section: Discussionmentioning

confidence: 99%

Spontaneous slow oscillation—slow spindle features predict induced overnight memory retention

Dehnavi

Koo‐Poeggel

Ghorbani

et al. 2021

Sleep

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Study Objectives Synchronization of neural activity within local networks and between brain regions is a major contributor to rhythmic field potentials such as the EEG. On the other hand, dynamic changes in microstructure and activity are reflected in the EEG, for instance slow oscillation (SO) slope can reflect synaptic strength. SO-spindle coupling is a measure for neural communication. It was previously associated with memory consolidation, but also shown to reveal strong inter-individual differences. In studies, weak electric current stimulation has modulated brain rhythms and memory retention. Here we investigate whether SO-spindle coupling and SO slope during baseline sleep are associated with (predictive of) stimulation efficacy on retention performance. Methods Twenty-five healthy subjects participated in three experimental sessions. Sleep-associated memory consolidation was measured in two sessions, in one anodal transcranial direct current stimulation oscillating at subjects individual SO frequency (so-tDCS) was applied during nocturnal sleep. The third session was without a learning task (baseline sleep). The dependence on SO-spindle coupling and SO-slope during baseline sleep of so-tDCS efficacy on retention performance were investigated. Results Stimulation efficacy on overnight retention of declarative memories was associated with nesting of slow spindles to SO trough in deep non-rapid eye movement baseline sleep. Steepness and direction of SO slope in baseline sleep were features indicative for stimulation efficacy. Conclusions Findings underscore a functional relevance of activity during the SO up-to-down state transition for memory consolidation and provide support for distinct consolidation mechanisms for types of declarative memories.

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Section: Discussionmentioning

confidence: 99%

Spontaneous slow oscillation—slow spindle features predict induced overnight memory retention

Dehnavi

Koo‐Poeggel

Ghorbani

et al. 2021

Sleep

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“…Perhaps surprisingly, though, the two traits did not appear to be closely related within individuals (Figure 7). This does not necessarily reveal whether or not the two phenomena-susceptibility to SI and vulnerability to sleep deprivation-may have linked underlying mechanisms [25] or could be predicted by the same gene polymorphisms [37]. However, it does rule out the possibility that the observed interindividual differences are merely a reflection of idiosyncratic differences in how individuals interpret and use the Likert-type scale of the KSS.…”

Section: Discussionmentioning

confidence: 91%

Trait Interindividual Differences in the Magnitude of Subjective Sleepiness from Sleep Inertia

et al. 2021

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In shift work settings and on-call operations, workers may be at risk of sleep inertia when called to action immediately after awakening from sleep. However, individuals may differ substantially in their susceptibility to sleep inertia. We investigated this using data from a laboratory study in which 20 healthy young adults were each exposed to 36 h of total sleep deprivation, preceded by a baseline sleep period and followed by a recovery sleep period, on three separate occasions. In the week prior to each laboratory session and on the corresponding baseline night in the laboratory, participants either extended their sleep period to 12 h/day or restricted it to 6 h/day. During periods of wakefulness in the laboratory, starting right after scheduled awakening, participants completed neurobehavioral tests every 2 h. Testing included the Karolinska Sleepiness Scale to measure subjective sleepiness, for which the data were analyzed with nonlinear mixed-effects regression to quantify sleep inertia. This revealed considerable interindividual differences in the magnitude of sleep inertia, which were highly stable within individuals after both baseline and recovery sleep periods, regardless of study condition. Our results demonstrate that interindividual differences in subjective sleepiness due to sleep inertia are substantial and constitute a trait.

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“…Importantly, numerous studies have reported that an individual’s resilience or vulnerability to sleep loss when assessing performance on objective and self-rated metrics are not related [ 12 , 17 , 18 , 25 , 26 ], making the determination of reliable categorization methods more complex. The use of a variety of neurobehavioral tests when conducting individual differences research mitigates this issue and allows for better cognitive endophenotyping (accurately capturing the complete essence of a cognitive phenotype through targeted measurements) [ 27 ].…”

Section: Interindividual Differences In Neurobehavioral Responses To Sleep Lossmentioning

confidence: 99%

“…Genome-wide association (GWA) studies have also revealed findings in support of trait-like interindividual differences in sleep parameters and may be useful in determining neurobehavioral vulnerability in response to sleep deprivation (reviewed in [ 58 ]). Furthermore, techniques that incorporate a perturbation of the system (e.g., enforced sleep deprivation), theory-driven genotyping, selective sampling, and cognitive endophenotyping are particularly valuable for studying differential vulnerability in relatively small samples [ 27 ]. Below, we summarize the genetic underpinnings of differential neurobehavioral responses to sleep loss that explain a portion of the related interindividual variance in resilience and vulnerability.…”

Section: Genetic Polymorphisms Related To Differential Neurobehavioral Vulnerability To Sleep Lossmentioning

confidence: 99%

“…Although the candidate gene approach is useful, no published studies have used this approach to explicitly determine causality rather than associations between genotype and phenotype. Nevertheless, previous work has demonstrated that the influence of some of the aforementioned SNPs, individually or in combination, may explain a substantial portion of the variance in neurobehavioral responses to sleep loss (reviewed in Satterfield et al [ 27 ]). Thus, it is important to continue using the candidate gene approach to examine the contribution of specific genes to differential neurobehavioral vulnerability.…”

Section: Genetic Polymorphisms Related To Differential Neurobehavioral Vulnerability To Sleep Lossmentioning

confidence: 99%

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Genetic Markers of Differential Vulnerability to Sleep Loss in Adults

Casale

Goel

2021

Genes

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In this review, we discuss reports of genotype-dependent interindividual differences in phenotypic neurobehavioral responses to total sleep deprivation or sleep restriction. We highlight the importance of using the candidate gene approach to further elucidate differential resilience and vulnerability to sleep deprivation in humans, although we acknowledge that other omics techniques and genome-wide association studies can also offer insights into biomarkers of such vulnerability. Specifically, we discuss polymorphisms in adenosinergic genes (ADA and ADORA2A), core circadian clock genes (BHLHE41/DEC2 and PER3), genes related to cognitive development and functioning (BDNF and COMT), dopaminergic genes (DRD2 and DAT), and immune and clearance genes (AQP4, DQB1*0602, and TNFα) as potential genetic indicators of differential vulnerability to deficits induced by sleep loss. Additionally, we review the efficacy of several countermeasures for the neurobehavioral impairments induced by sleep loss, including banking sleep, recovery sleep, caffeine, and naps. The discovery of reliable, novel genetic markers of differential vulnerability to sleep loss has critical implications for future research involving predictors, countermeasures, and treatments in the field of sleep and circadian science.

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Unraveling the genetic underpinnings of sleep deprivation-induced impairments in human cognition

Cited by 26 publications

References 110 publications

Spontaneous slow oscillation—slow spindle features predict induced overnight memory retention

Spontaneous slow oscillation—slow spindle features predict induced overnight memory retention

Trait Interindividual Differences in the Magnitude of Subjective Sleepiness from Sleep Inertia

Genetic Markers of Differential Vulnerability to Sleep Loss in Adults

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