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https://doi.org/10.1038/s41598-019-52930-y
Title: | Using a Single Daytime Performance Test to Identify Most Individuals at High-Risk for Performance Impairment during Extended Wake | Authors: | St. Hilaire, M.A. Kristal, B.S. Rahman, S.A. Sullivan, J.P. Quackenbush, J. Duffy, J.F. Barger, L.K. Gooley, J.J. Czeisler, C.A. Lockley, S.W. |
Issue Date: | 2019 | Publisher: | Nature Publishing Group | Citation: | St. Hilaire, M.A., Kristal, B.S., Rahman, S.A., Sullivan, J.P., Quackenbush, J., Duffy, J.F., Barger, L.K., Gooley, J.J., Czeisler, C.A., Lockley, S.W. (2019). Using a Single Daytime Performance Test to Identify Most Individuals at High-Risk for Performance Impairment during Extended Wake. Scientific Reports 9 (1) : 16681. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-019-52930-y | Rights: | Attribution 4.0 International | Abstract: | We explored the predictive value of a neurobehavioral performance assessment under rested baseline conditions (evaluated at 8 hours awake following 8 hours of sleep) on neurobehavioral response to moderate sleep loss (evaluated at 20 hours awake two days later) in 151 healthy young participants (18–30 years). We defined each participant’s response-to-sleep-loss phenotype based on the number of attentional failures on a 10-min visual psychomotor vigilance task taken at 20 hours awake (resilient: less than 6 attentional failures, n = 26 participants; non-resilient: 6 or more attentional failures, n = 125 participants). We observed that 97% of rested participants with 2 or more attentional failures (n = 73 of 151) and 100% of rested participants with 3 or more attentional failures (n = 57 of 151) were non-resilient after moderate sleep loss. Our approach can accurately identify a significant proportion of individuals who are at high risk for neurobehavioral performance impairment from staying up late with a single neurobehavioral performance assessment conducted during rested conditions. Additional methods are needed to predict the future performance of individuals who are not identified as high risk during baseline. © 2019, The Author(s). | Source Title: | Scientific Reports | URI: | https://scholarbank.nus.edu.sg/handle/10635/212756 | ISSN: | 20452322 | DOI: | 10.1038/s41598-019-52930-y | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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