Alteration in Resting-State EEG Microstates Following 24 Hours of Total Sleep Deprivation in Healthy Young Male Subjects

• Published in: Frontiers in human neuroscience Vol. 15; p. 636252
• Main Authors: Ke, Ming, Li, Jianpan, Wang, Lubin
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 12.04.2021; Frontiers Media S.A
• Subjects: Cognitive ability; EEG; EEG microstate; Electroencephalography; Experiments; Human Neuroscience; Laboratories; Mental disorders; Network switching; Participation; resting states; Sleep and wakefulness; Sleep deprivation; topographical analysis; electroencephalography; sleep deprivation; resting states; topographical analysis; EEG microstate
• ISSN: 1662-5161; 1662-5161
• DOI: 10.3389/fnhum.2021.636252

Purpose: The cognitive effects of total sleep deprivation (TSD) on the brain remain 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 in brain activity after 24 h of total sleep deprivation. Participants and Methods: Twenty-seven healthy volunteers were recruited and underwent EEG scans before and after 24 h of TSD. Microstate analysis was applied, and six microstate classes (A–F) were identified. Topographies and temporal parameters of the microstates were compared between the rested wakefulness (RW) and TSD conditions. Results: 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 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 the microstate parameters of class A and positively correlated with the microstate parameters of class D. Transition analysis revealed that class B exhibited a higher probability of transition than did classes D and F in TSD compared to RW. Conclusion: The observation suggests alterations of the 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.