AUTHOR=Ke Ming , Li Jianpan , Wang Lubin TITLE=Alteration in Resting-State EEG Microstates Following 24 Hours of Total Sleep Deprivation in Healthy Young Male Subjects JOURNAL=Frontiers in Human Neuroscience VOLUME=Volume 15 - 2021 YEAR=2021 URL=https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2021.636252 DOI=10.3389/fnhum.2021.636252 ISSN=1662-5161 ABSTRACT=Purpose: The cognitive effects of total sleep deprivation (TSD) on the brain remains poorly understood. Electroencephalography (EEG) is a very useful tool for detecting spontaneous brain activity in the resting state. Quasi-stable electrical distributions, known as microstates, carry useful information about the dynamics of large-scale brain networks. In this study, microstate analysis was used to study changes of brain activity after 24 hours of total sleep deprivation. Participants and methods: Twenty-seven healthy volunteers were recruited and performed EEG scans before and after 24 hours of TSD. Microstate analysis was applied, and six microstates classes (A-F) were identified. Topographies and temporal parameters of microstates were compared between the rested wakefulness (RW) and TSD conditions. Results:The microstate class A (a right-anterior to left-posterior orientation of the mapped field) showed lower global explained variance (GEV), frequency of occurrence and time coverage in TSD than RW, whereas the microstate class D (a fronto-central extreme location of the mapped field) displayed higher GEV, frequency of occurrence and time coverage in TSD compared to RW. Moreover, subjective sleepiness was significantly negatively correlated with microstate parameters of class A, and positively correlated with microstate parameters of class D. Transition analysis revealed that class B exhibited a higher probability of transition to class D and F in the TSD compared to RW. Conclusion:The observation suggest alterations of dynamic brain-state properties of TSD in healthy young male subjects, which may serve as system-level neural underpinnings for cognitive declines in sleep-deprived subjects.