Xiaojue Zhou, Nina Lauharatanahirun, Steven M. Thurman, Jean M. Vettel, Barry Giesbrecht, Scott Grafton, James C. Elliott, Vernon J. Lawhern, Erin Flynn-Evans, Emily Falk, Javier O. Garcia, Kanika Bansal
{"title":"Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep","authors":"Xiaojue Zhou, Nina Lauharatanahirun, Steven M. Thurman, Jean M. Vettel, Barry Giesbrecht, Scott Grafton, James C. Elliott, Vernon J. Lawhern, Erin Flynn-Evans, Emily Falk, Javier O. Garcia, Kanika Bansal","doi":"10.1002/hbm.70362","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":13019,"journal":{"name":"Human Brain Mapping","volume":"46 14","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hbm.70362","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Brain Mapping","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hbm.70362","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged.
Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.