Interindividual variability in neurobehavioral response to sleep loss: A comprehensive review

Tkachenko, Olga; Dinges, David F.

doi:10.1016/j.neubiorev.2018.03.017

Cited by 81 publications

(45 citation statements)

References 95 publications

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“…Some of the individual differences may be genetically determined, as has been reported for PVT performance and sleepiness during sleep restriction [48], PVT performance during sleep deprivation [49,50], and for sleep EEG spectra [44]. Other potential factors underlying individual differences include brain structure and function, such as hippocampal volume, activation patterns of the default mode network and white matter integrity (for a comprehensive review see [51]). Van Dongen et al [16] previously showed that individual differences in performance were not altered by prior sleep history.…”

Section: Discussionmentioning

confidence: 99%

Trait-like vulnerability of higher-order cognition and ability to maintain wakefulness during combined sleep restriction and circadian misalignment

Sprecher

Ritchie

Burke

et al. 2019

Sleep

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Study Objectives Determine stability of individual differences in executive function, cognitive processing speed, selective visual attention, and maintenance of wakefulness during simulated sustained operations with combined sleep restriction and circadian misalignment. Methods Twenty healthy adults (eight female), aged 25.7 (±4.2 SD), body mass index (BMI) 22.3 (±2.1) kg/m2 completed an 18-day protocol twice. Participants maintained habitual self-selected 8-hour sleep schedules for 2 weeks at home prior to a 4-day laboratory visit that included one sleep opportunity per day: 8 hours on night 1, 3 hours on night 2, and 3 hours on mornings 3 and 4. After 3 days of unscheduled sleep at home, participants repeated the entire protocol. Stability and task dependency of individual differences in performance were quantified by intra-class correlation coefficients (ICC) and Kendall’s Tau, respectively. Results Performance on Stroop, Visual Search, and the Maintenance of Wakefulness Test were highly consistent within individuals during combined sleep restriction and circadian misalignment. Individual differences were trait-like as indicated by ICCs (0.54–0.96) classified according to standard criteria as moderate to almost perfect. Individual differences on other performance tasks commonly reported in sleep studies showed fair to almost perfect ICCs (0.22–0.94). Kendall’s rank correlations showed that individual vulnerability to sleep restriction and circadian misalignment varied by task and by metric within a task. Conclusions Consistent vulnerability of higher-order cognition and maintenance of wakefulness to combined sleep restriction and circadian misalignment has implications for the development of precision countermeasure strategies for workers performing safety-critical tasks, e.g. military, police, health care workers and emergency responders.

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Section: Discussionmentioning

confidence: 99%

Trait-like vulnerability of higher-order cognition and ability to maintain wakefulness during combined sleep restriction and circadian misalignment

Sprecher

Ritchie

Burke

et al. 2019

Sleep

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“…These networks are governed by distinct neurobiological pathways (Fan & Posner, 2004) and they are individually supported by network-specific genetic modulators (Fossella 6 et al, 2002), making it likely that they are also differentially affected by sleep. Indeed, previous research has registered differential effects of sleep deprivation on the functioning of these distinct networks (see Tkachenko & Dinges, 2018). For example, one study compared ANT performance at baseline vs. following 24-hours of sleep deprivation within subjects and observed longer reaction times, poorer accuracy, and diminished P3 event-related potential response following sleep deprivation (Trujillo, Kornguth, & Schnyer, 2009).…”

Section: Introductionmentioning

confidence: 99%

Sleep duration, sleep variability, and impairments of visual attention

Barclay

Rowley

Robson

et al. 2020

Quarterly Journal of Experimental Psychology

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Attentional networks are sensitive to sleep deprivation. However, variation in attentional performance as a function of normal sleep parameters is understudied. We examined whether attentional performance is influenced by (a) individual differences in sleep duration, (b) sleep duration variability, and/or (c) their interaction. A total of 57 healthy participants (61.4% female, Mage = 32.37 years, SD = 8.68) completed questionnaires, wore wrist actigraphy for 1 week, and subsequently completed the attention network test. Sleep duration and sleep duration variability did not predict orienting score, executive control score, or error rates. Sleep duration variability appeared to moderate the association between sleep duration with overall reaction time (β = –.34, t = –2.13, p = .04) and alerting scores (β = .43, t = 2.94, p = .01), though further inspection of the data suggested that these were spurious findings. Time of testing was a significant predictor of alerting score (β = .35, t = 2.96, p = .01), chronotype of orienting (β = .31, t = 2.28, p = .03), and age of overall reaction time (β = .35, t = 2.70, p = .01). Our results highlight the importance of examining the associations between variations in sleep–wake patterns and attentional networks in samples with greater variation in sleep, as well as the importance of rigorously teasing apart mechanisms of the sleep homeostat from those related to the circadian rhythm in studies examining cognition.

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“…Traditionally, vigilance has been studied by simple and monotonous behavioral tasks such as the Mackworth Clock Test (MCT;Mackworth, 1948) or the Psychomotor Vigilance Test (PVT; Lim & Dinges, 2008), in which a progressive decrement on performance is commonly observed as a function of time on task (Langner & Eickhoff, 2013;Mackworth, 1948;Scerbo, 1998). Currently, nevertheless, there is raising interest in assessing vigilance with more complex tasks, including measures from other attentional components in contrast with the classic approach of measuring vigilance with such simple and monotonous behavioral tasks (Roca, García-Fernández, Castro, & Lupiáñez, 2018;Tkachenko & Dinges, 2018;Wickens, Hutchins, Laux, & Sebok, 2015).…”

mentioning

confidence: 99%

The ANTI-Vea task: analyzing the executive and arousal vigilance decrements while measuring the three attentional networks

Luna

Barttfeld

Martín-Arévalo

et al. 2021

Psicológica Journal

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The vigilance decrement phenomenon has been traditionally studied by simple and monotonous behavioral tasks. Nowadays, however, there is considerable interest in measuring vigilance with more complex tasks, including independent measures of other attentional functions. In the present study, we provide evidence supporting the suitability of the Attentional Networks Test for Interactions and Vigilance – executive and arousal components (ANTI-Vea) as an appropriate method to simultaneously assess multiple attentional and vigilance components. Vigilance was examined as two dissociated components: executive vigilance –as the detection of infrequent signals– and arousal vigilance–as the sustenance of a fast reaction to stimuli without response selection–. Importantly, the executive vigilance decrement was analyzed with a novel methodological approach to particularly determine whether the sensitivity loss effect is influenced by a floor level on the false alarms. As expected, the ANTI-Vea proved to be a task suitable to assess: (a) the main effects and interactions of phasic alertness, orienting, and executive control; (b) the executive vigilance decrement as a progressive change in the response bias; and (c) the arousal vigilance decrement as a progressive slowness and variability in reaction time. We discuss some critical theoretical and empirical implications of measuring vigilance components with the ANTI-Vea task. We expect the present study to provide a suitable method to analyze the vigilance decrement phenomenon when measuring multiple attentional and vigilance functions.

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Interindividual variability in neurobehavioral response to sleep loss: A comprehensive review

Cited by 81 publications

References 95 publications

Trait-like vulnerability of higher-order cognition and ability to maintain wakefulness during combined sleep restriction and circadian misalignment

Trait-like vulnerability of higher-order cognition and ability to maintain wakefulness during combined sleep restriction and circadian misalignment

Sleep duration, sleep variability, and impairments of visual attention

The ANTI-Vea task: analyzing the executive and arousal vigilance decrements while measuring the three attentional networks

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