Genotype-Dependent Differences in Sleep, Vigilance, and Response to Stimulants

Landolt, Hans‐Peter

doi:10.2174/138161208786549344

Cited by 61 publications

(35 citation statements)

References 145 publications

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“…Such individual differences in disturbances of sleep-wake regulation are similar to those identified in winter-over polar expeditions (15,26), which are often considered analogs for the study of behavioral reactions to the prolonged isolation of spaceflight (27)(28)(29)(30). The fact that sleep-wake disruptions occur during confinement and isolation in some individuals more than others is consistent with increasing evidence that there are phenotypic and genotypic differences in vulnerability to both alterations of sleep and the resulting neurobehavioral consequences (31)(32)(33)(34)(35)(36)(37). This differential vulnerability has led to a search for predictive biomarkers of the effects of sleep loss (38), which would be useful for managing sleep-wake regulation during exploration spaceflight (39).…”

Section: Discussionsupporting

confidence: 59%

Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing

Basner

Dinges

Mollicone

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

152

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The success of interplanetary human spaceflight will depend on many factors, including the behavioral activity levels, sleep, and circadian timing of crews exposed to prolonged microgravity and confinement. To address the effects of the latter, we used a highfidelity ground simulation of a Mars mission to objectively track sleep-wake dynamics in a multinational crew of six during 520 d of confined isolation. Measurements included continuous recordings of wrist actigraphy and light exposure (4.396 million min) and weekly computer-based neurobehavioral assessments (n = 888) to identify changes in the crew's activity levels, sleep quantity and quality, sleep-wake periodicity, vigilance performance, and workload throughout the record-long 17 mo of mission confinement. Actigraphy revealed that crew sedentariness increased across the mission as evident in decreased waking movement (i.e., hypokinesis) and increased sleep and rest times. Light exposure decreased during the mission. The majority of crewmembers also experienced one or more disturbances of sleep quality, vigilance deficits, or altered sleep-wake periodicity and timing, suggesting inadequate circadian entrainment. The results point to the need to identify markers of differential vulnerability to hypokinesis and sleepwake changes during the prolonged isolation of exploration spaceflight and the need to ensure maintenance of circadian entrainment, sleep quantity and quality, and optimal activity levels during exploration missions. Therefore, successful adaptation to such missions will require crew to transit in spacecraft and live in surface habitats that instantiate aspects of Earth's geophysical signals (appropriately timed light exposure, food intake, exercise) required for temporal organization and maintenance of human behavior.sleep-wake regulation | astronaut T he success of human interplanetary spaceflight, which is anticipated to be in this century, will depend on the ability of spacefarers to remain confined and isolated from Earth much longer than previous missions or simulations, while maintaining the intensity and timing of behavioral activity necessary to accomplish the mission and mitigate the effects of microgravity. A total of four people have spent >1 y in space, with the record of 437 consecutive days on the Mir space station set by Valery Polyakov. The longest Earth-based spaceflight simulation involved four Russians confined in connected hyperbaric chambers for 240 consecutive days. Antarctic winter-over missions have extended up to 363 d. Prediction of how prolonged confinement affects activity levels and sleep-wake dynamics of space explorers is needed to inform spacecraft habitability requirements, crew selection, and behavioral countermeasures during interplanetary missions (1-3). To address this need, we obtained objective neurobehavioral data on the activity patterns of a multinational, culturally diverse crew of six males with backgrounds in engineering, medicine, physiology, and space training, who participated in a high-fidelity g...

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Section: Discussionsupporting

confidence: 59%

Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing

Basner

Dinges

Mollicone

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

152

View full text Add to dashboard Cite

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“…(8) and (9), respectively. Available data were restricted to those acquired up to the beginning of the one-day prediction horizon; data were considered "not available" for subsequent days.…”

Section: Bayesian Analysis Of Psychomotor Vigi-lance Lapses (Olofsen)mentioning

confidence: 99%

“…The effects of caffeine, like those of sleep deprivation, on cognitive performance show large inter-individual differences that are trait-like and genetically determined [8]. Also, like with vulnerability to sleep deprivation, there are changes in sensitivity to caffeine as a function of age [9].…”

Section: Introductionmentioning

confidence: 99%

Current Approaches and Challenges to Development of an Individualized Sleep and Performance Prediction Model~!2009-03-22~!2010-05-11~!2010-07-15~!

Olofsen¹,

Dongen²,

Mott³

et al. 2010

TOSLPJ

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Workplace safety and productivity will be enhanced considerably with the development and application of individualized sleep and performance prediction models. These are models that predict an individual's operational performance based on his/her unique sleep schedule, individual sleep requirements, and individual pattern of responses to sleep loss across a variety of cognitive performance domains. Progress in the individualization of such models will occur as the result of integrated efforts based on (a) an expanding understanding of the relevant physiological processes underlying the sleep/circadian/performance interactions as well as (b) novel empirical and statistical approaches. In the present paper, an overview is presented of the state of the art of the individualization of sleep and performance models with sections on current efforts in model integration, the application of Bayesian forecasting techniques to the problem of model individualization, construction of Bayesian confidence intervals for predicted performance, and the problem of generalizability of individualized model predictions -i.e., the problem of using models constructed with performance data from one cognitive domain to predict performance in another cognitive domain. Success in model individualization will ultimately be facilitated by concerted, coordinated efforts involving multiple scientific entities and stakeholders.

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“…Potentially more promising is the discovery of genetic predictors of responsiveness to sleep deprivation 43,44) . These include polymorphisms involved in the regulation of neurotransmitters (catechol-O-methyltransferase) 31) , brain metabolism (adenosine receptor and adenosine deaminase) 45,46) , and circadian rhythmicity (the clock gene PER3) 47) .…”

Section: Predicting Individual Differences In Vulnerability To Sleep mentioning

confidence: 99%

Individual Differences in Vulnerability to Sleep Loss in the Work Environment

Dongen

Belenky

2009

INDUSTRIAL HEALTH

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It has long been recognized that individuals differ markedly in their responses to extended work hours [1][2][3][4][5][6] and shift work schedules [7][8][9] . Research in this area focused initially on demographics, behavioral patterns and external circumstances as factors explaining and predicting these individual differences, but with limited success 10) . More recently, the emphasis shifted to the endogenous neurobiology underlying sleep/wake regulation and 24-h (circadian) rhythm 10,11) . This line of research gained impetus due to a study showing that there are substantial individual differences in performance impairment resulting from sleep deprivation, and demonstrating that these individual differences constitute a trait 12) . In this paper, we discuss the trait individual differences in performance impairment due to sleep loss, and consider their relevance in operational environments. We also examine ways to predict the individual differences in vulnerability to sleep loss, and reflect on the legal and ethical implications of doing so in occupational settings.

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Genotype-Dependent Differences in Sleep, Vigilance, and Response to Stimulants

Cited by 61 publications

References 145 publications

Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing

Mars 520-d mission simulation reveals protracted crew hypokinesis and alterations of sleep duration and timing

Current Approaches and Challenges to Development of an Individualized Sleep and Performance Prediction Model~!2009-03-22~!2010-05-11~!2010-07-15~!

Individual Differences in Vulnerability to Sleep Loss in the Work Environment

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