Effects of Night Work, Sleep Loss and Time on Task on Simulated Threat Detection Performance

Basner, Mathias; Rubinstein, Joshua; Fomberstein, Kenneth M.; Coble, Matthew C.; Ecker, Adrian J.; Avinash, Deepa; Dinges, David F.

doi:10.5665/sleep/31.9.1251

Cited by 15 publications

(4 citation statements)

References 19 publications

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“…Thus, although automation and other technological innovations have broadly improved safety, performance demands have shifted to sustained attention. Time-on-task effects should therefore be expected (e.g., Basner et al, 2008), and the likelihood of human error may be increased. However, accidents only occur when automation and other safeguards fail at the same random moment that human responsiveness breaks down.…”

Section: Stochastic Nature Of Cognitive Fatiguementioning

confidence: 99%

“…producing an opponent wake drive as a function of time of day (Achermann & Borbély, 1994;Dijk & Czeisler, 1994;Van Dongen & Dinges, 2005b), and a "fatigability" process producing a performance decrement over time on task (Basner et al, 2008;Bills, 1937;Dinges et al, 1994). The homeostatic process is also known as the "sleep homeostat"; it balances time spent awake and time spent asleep.…”

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confidence: 99%

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Investigating the temporal dynamics and underlying mechanisms of cognitive fatigue.

Dongen¹,

Belenky²,

Krueger³

2011

Cognitive Fatigue: Multidisciplinary Perspectives on Current Research and Future Applications.

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Although the phenomenon of cognitive fatigue during sustained task performance is well documented, surprisingly little is known about its temporal dynamics. This chapter focuses on the interaction of cognitive fatigue across time on task with the influence of sleep loss (time awake) and circadian rhythm (time of day). In the section that follows, we discuss what is known about this issue from the published literature. In the next section, we present new data showing that the impact of sleep loss on the time-on-task effect generalizes from acute total sleep deprivation to the more commonly experienced conditions of chronic sleep restriction.In the section thereafter, we present additional new data from studies of repeated sleep deprivation, which reveal poor replicability of the slope of performance degradation across time on task. This finding points to considerable influence of an as yet unknown stochastic process. We conclude the chapter by introducing a theoretical account for this stochastic process, which we hypothesize involves the presence of a use-dependent sleep state in local neuronal assemblies involved in task performance. We also propose a model of the underlying mechanisms, which suggests that cognitive fatigue from sustained task performance and fatigue from sleep loss and circadian rhythm may share neurobiological pathways. Time Awake, Time of Day, and Time on TaskFrom a perspective of sleep-wake regulation, at least three key neurobiological processes cause systematic changes in cognitive function over time: a homeostatic process producing a progressive sleep drive over time awake, a circadian process We thank David Dinges and David Rector for contributing to the concepts presented in this chapter.

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Section: Stochastic Nature Of Cognitive Fatiguementioning

confidence: 99%

mentioning

confidence: 99%

Investigating the temporal dynamics and underlying mechanisms of cognitive fatigue.

Dongen¹,

Belenky²,

Krueger³

2011

Cognitive Fatigue: Multidisciplinary Perspectives on Current Research and Future Applications.

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“…Sustaining attention for prolonged periods is a challenging although imperatively necessary ability for many daily life situations (Neigel et al, 2020). When performing prolonged activities (as, for instance, driving a car in a route, taking a lecture, or monitoring critical signals in security environments), sustained attention usually decreases with time-on-task, a phenomenon scientifically known as "vigilance decrement" (Davies and Parasuraman, 1982;Basner et al, 2008;Warm et al, 2008;Stearman and Durso, 2016;Hancock, 2017). In the lab, the vigilance decrement is observed as a progressive increase in vigilance failures, i.e., as a higher miss rate in detecting infrequent signals and slower reaction times (RT) as time-on-task progresses (Thomson et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Different oscillatory rhythms anticipate failures in executive and arousal vigilance

et al. 2023

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IntroductionVigilance is the challenging ability to maintain attention during long periods. When performing prolonged tasks, vigilance failures are often observed, reflecting a decrease in performance. Previous research has shown that changes in oscillatory rhythms are associated with states of vigilance loss. The present study aimed to investigate whether changes in different oscillatory rhythms anticipate failures in two vigilance components: (a) executive vigilance –necessary to detect infrequent critical signals– and (b) arousal vigilance –necessary to maintain a fast reaction to environmental stimuli without much control–.Methods37 young adults (age: M = 25.86; SD = 4.99) completed two experimental sessions in which high-density electroencephalography signal was recorded while they performed the Attentional Networks Test for Interactions and Vigilance – executive and arousal components, a task that simultaneously measures executive and arousal vigilance along with others attentional functions. Changes in delta, theta, alpha, beta, and gamma power before target onset were analyzed at the trial level in the executive and the arousal vigilance subtasks and as a function of the behavioral response.ResultsChanges in different oscillatory rhythms were observed prior to failures in executive and arousal vigilance. While increased alpha power in left occipital regions anticipated misses in the executive vigilance subtask, increased delta power in frontal-central regions anticipated very slow responses in the arousal vigilance subtask.DiscussionThe present results further support an empirical dissociation at the neural level between executive and arousal vigilance. Changes in alpha –in left occipital regions– and delta –in frontal-central regions– power might be identified as different brain states associated with loss in vigilance components when performing prolonged tasks.

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“…In this study, I used the China Meteorological Administration’s definitions of a hot day ( T max ≥ 35 °C) and a hot night (daily minimum temperature ( T min ) ≥ 26 °C), which would make people feel uncomfortable during daytime work or nighttime sleep. The hours of 8:00–20:00 (Beijing time) and 20:00–8:00 (Beijing time) were considered daytime and nighttime in this work because these are typically the regular hours when people are expected to work or to be asleep [ 33 ]. Meanwhile, all of the observed T min occurred in the hours of 20:00–8:00 over the YRD region in the summer of 2022, with 93.5% of the observed T min occurring in the early morning (4:00–6:00) [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

Compound Heat Vulnerability in the Record-Breaking Hot Summer of 2022 over the Yangtze River Delta Region

Jiang

2023

IJERPH

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Hourly meteorological data and multisource socioeconomic data collected in the Yangtze River Delta (YRD) region were used to analyze its heat vulnerability during the record-breaking hot summer of 2022 in both daytime and nighttime. Over forty consecutive days, daytime temperatures exceeded 40 °C, and 58.4% of the YRD region experienced 400 h with temperatures hotter than 26 °C during the nighttime. Only 7.5% of the YRD region was under low heat risk during both daytime and nighttime. Strong heat risk combined with strong heat sensitivity and weak heat adaptability led to strong heat vulnerability during both daytime and nighttime in most areas (72.6%). Inhomogeneity in heat sensitivity and heat adaptability further aggravated the heterogeneity of heat vulnerability, leading to compound heat vulnerability in most regions. The ratios of heat-vulnerable areas generated by multiple causes were 67.7% and 79.3% during daytime and nighttime, respectively. For Zhejiang and Shanghai, projects designed to decrease the urban heat island effect and lower the local heat sensitivity are most important. For Jiangsu and Anhui, measures aiming to decrease the urban heat island effect and improve heat adaptability are most important. It is urgent to take efficient measures to address heat vulnerability during both daytime and nighttime.

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Effects of Night Work, Sleep Loss and Time on Task on Simulated Threat Detection Performance

Cited by 15 publications

References 19 publications

Investigating the temporal dynamics and underlying mechanisms of cognitive fatigue.

Investigating the temporal dynamics and underlying mechanisms of cognitive fatigue.

Different oscillatory rhythms anticipate failures in executive and arousal vigilance

Compound Heat Vulnerability in the Record-Breaking Hot Summer of 2022 over the Yangtze River Delta Region

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