Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep

Previous research has shown that laboratory-controlled sleep deprivation leads to cognitive impairments, including low vigilance and deficits in working memory. However, the robustness of sleep effects on behavior and brain dynamics in naturalistic settings remains underexplored. In this study, we investigated the impact of naturalistic, unfettered variations in sleep on behavioral performance and brain network dynamics in 39 healthy adults. Using a dynamic networks approach combined with ordinal regression, we show a significant increase in flexibility, a measure of rapid reconfigurations within the brain modules, with decreasing sleep time, particularly in the fronto-parietal control network, during a psychomotor vigilance (PVT) and visual working memory (VWM) task. This change in network flexibility was not observed during the resting state. Critically, performance itself did not change as a function of sleep, providing preliminary evidence that brain networks may compensate for having a poor night's sleep by recruiting the necessary resources to complete the task. Additional analysis assessing the regularity of sleep indicates a wider change in flexibility during PVT for irregular sleepers in networks including the limbic system, ventral attention network, and somatomotor system. These results provide new insights into the neural and behavioral correlates of naturalistic sleep modulations.

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Publication Details

Journal
Human Brain Mapping
Published
2025-09-24
DOI
https://doi.org/10.1002/hbm.70362
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.43

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article

Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep

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1 citations
Human Brain Mapping
EEG and Brain-Computer Interfaces
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article

Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep

Nina Lauharatanahirun, Kanika Bansal, Javier O. Garcia, Steven M. Thurman, Vernon J. Lawhern, Xiaojue Zhou, Barry Giesbrecht, E E Flynn-Evans, Scott T. Grafton, Jean M. Vettel, Emily B. Falk, J. C. Elliott
article en
1 citations

Abstract

Previous research has shown that laboratory-controlled sleep deprivation leads to cognitive impairments, including low vigilance and deficits in working memory. However, the robustness of sleep effects on behavior and brain dynamics in naturalistic settings remains underexplored. In this study, we investigated the impact of naturalistic, unfettered variations in sleep on behavioral performance and brain network dynamics in 39 healthy adults. Using a dynamic networks approach combined with ordinal regression, we show a significant increase in flexibility, a measure of rapid reconfigurations within the brain modules, with decreasing sleep time, particularly in the fronto-parietal control network, during a psychomotor vigilance (PVT) and visual working memory (VWM) task. This change in network flexibility was not observed during the resting state. Critically, performance itself did not change as a function of sleep, providing preliminary evidence that brain networks may compensate for having a poor night's sleep by recruiting the necessary resources to complete the task. Additional analysis assessing the regularity of sleep indicates a wider change in flexibility during PVT for irregular sleepers in networks including the limbic system, ventral attention network, and somatomotor system. These results provide new insights into the neural and behavioral correlates of naturalistic sleep modulations.

Human Brain MappingVol. 46(14)
Pennsylvania State University (US), University of California, Santa Barbara (US), DEVCOM Army Research Laboratory (US), University of California, Irvine (US), Neurobehavioral Systems (US), National Aeronautics and Space Administration (US), Irvine University (US), University of Maryland, Baltimore County (US), University of Pennsylvania (US)
University of California, Santa Barbara, U.S. Army Combat Capabilities Development Command, Army Research Laboratory, DEVCOM Army Research Laboratory, Institute for Collaborative Biotechnologies
Openalex Percentile: Top 15%
EEG and Brain-Computer Interfaces
1.43
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