Liu Zehui, Xie Tian, Ma Ning
Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education; Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, 510631, People's Republic of China.
Nat Sci Sleep. 2024 Dec 5;16:1937-1948. doi: 10.2147/NSS.S485412. eCollection 2024.
Sleep deprivation can induce severe deficits in vigilant maintenance and alternation in large-scale networks. However, differences in the dynamic brain networks after sleep deprivation across individuals have rarely been investigated. In the present study, we used EEG microstate analysis to investigate the effects of sleep deprivation and how it differentially affects resting-state brain activity in different individuals.
A total of 44 healthy adults participated in a within-participant design study involving baseline sleep and 24-hour sleep deprivation, with resting-state EEG recorded during wakefulness. The psychomotor vigilance task (PVT) was used to measure vigilant attention. Participants were median split as vulnerable or resilient according to their changes in the number of lapses between the baseline sleep and sleep deprivation conditions.
Sleep deprivation caused decreases in microstates A, B, and D, and increases in microstate C. We also found increased transition probabilities of microstates C and D between each other, lower transition probabilities from microstates C and D to microstate B, and higher transition probabilities from microstates A and B to microstate C. Sleep-deprived vulnerable individuals showed decreased occurrence of microstate B and transition probability from microstate C to B after sleep deprivation, but not in resilient individuals.
The findings suggest that sleep deprivation critically affects dynamic brain-state properties and the differences in time parameters of microstates might be the underlying neural basis of interindividual vulnerability to sleep deprivation.
睡眠剥夺会导致大规模网络中警觉维持和交替出现严重缺陷。然而,很少有人研究睡眠剥夺后个体间动态脑网络的差异。在本研究中,我们使用脑电图微状态分析来研究睡眠剥夺的影响以及它如何不同地影响不同个体的静息态脑活动。
共有44名健康成年人参与了一项自身对照设计研究,该研究包括基线睡眠和24小时睡眠剥夺,并在清醒期间记录静息态脑电图。使用精神运动警觉任务(PVT)来测量警觉注意力。根据参与者在基线睡眠和睡眠剥夺条件下失误次数的变化,将他们中位数分割为易受影响组或恢复力强组。
睡眠剥夺导致微状态A、B和D减少,微状态C增加。我们还发现微状态C和D之间相互转换的概率增加,从微状态C和D到微状态B的转换概率降低,从微状态A和B到微状态C的转换概率增加。睡眠剥夺后,易受影响的个体微状态B的出现频率降低,从微状态C到B的转换概率降低,但恢复力强的个体没有这种情况。
研究结果表明,睡眠剥夺严重影响动态脑状态特性,微状态时间参数的差异可能是个体对睡眠剥夺易感性的潜在神经基础。