The Impact of Moderate Sleep Loss on Neurophysiologic Signals during Working-Memory Task Performance

Michael E. Smith · Linda K. McEvoy · Alan S. Gevins

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Sleep and Work-Related Fatigue Sleep and related disorders Sleep and Wakefulness Research

Abstract

STUDY OBJECTIVES: This study examined how sleep loss affects neurophysiologic signals related to attention and working memory. DESIGN: Subjective sleepiness, resting-state electroencephalogram, and behavior and electroencephalogram during performance of working-memory tasks were recorded in a within-subject, repeated-measures design. SETTING: Data collection occurred in a computerized laboratory setting. PARTICIPANTS: Sixteen healthy adults (mean age, 26 years; 8 female) INTERVENTIONS: Data from alert daytime baseline tests were compared with data from tests during a late-night, extended-wakefulness session that spanned up to 21 hours of sleep deprivation. MEASUREMENTS AND RESULTS: Alertness measured both subjectively and electrophysiologically decreased monotonically with increasing sleep deprivation. A lack of alertness-related changes in electroencephalographic measures of the overall mental effort exerted during task execution indicated that participants attempted to maintain high levels of performance throughout the late-night tests. Despite such continued effort, responses became slower, more variable, and more error prone within 1 hour after participants' normal time of sleep onset. This behavior failure was accompanied by significant degradation of event-related brain potentials related to the transient focusing of attention. CONCLUSIONS: Moderate sleep loss compromises the function of neural circuits critical to subsecond attention allocation during working-memory tasks, even when an effort is made to maintain wakefulness and performance. Multivariate analyses indicate that combinations of working-memory-related behavior and neurophysiologic measures can be sensitive enough to permit reliable detection of such effects of sleep loss in individuals. Similar methods might prove useful for assessment of functional alertness in patients with sleep disorders.

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References

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