Bai Duo, Fan Xinrui, Xiang Chuqin, Lei Xu
Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China.
Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China.
Brain Sci. 2025 Apr 21;15(4):423. doi: 10.3390/brainsci15040423.
Sleep deprivation negatively affects mood and sleepiness across subjective, objective, behavioral, and neuroimaging measures. However, the relationship between abnormal brain dynamics after sleep deprivation and mood or sleepiness impairments, from a temporal perspective, remains underexplored. Electroencephalogram microstate analysis offers a valuable approach for investigating the large-scale dynamics of brain networks. We implemented a strict sleep deprivation protocol with 71 participants, collecting resting-state electroencephalogram data, subjective sleepiness, objective alertness, and mood assessments after normal sleep and sleep deprivation (SD) conditions. Microstate time parameters were compared between sleep control (SC) and SD conditions. Additionally, we investigated how changes in these parameters correlated with subjective or objective measures of sleepiness and mood changes between SC and SD. SD significantly decreased the mean duration and occurrence of microstate B while increasing those of microstate C. A decrease in microstate B occurrence significantly correlated with a higher Karolinska Sleepiness Scale score, whereas a reduction in microstate B duration indicated an increased response time on the Psychomotor Vigilance Performance. No significant associations were observed between microstate parameters and positive mood decline between SC and SD. Pearson correlation analysis was performed on the positive mood scores in both conditions. The findings demonstrated a significant positive relationship between positive mood scores and the mean duration of microstate B under SD conditions. Using a large SD dataset, this study demonstrated that subjective or objective sleepiness and positive mood were associated with decreased microstate B. These findings suggest that SD disrupts neural dynamics within the visual network.
睡眠剥夺会对主观、客观、行为和神经影像学测量的情绪和嗜睡产生负面影响。然而，从时间角度来看，睡眠剥夺后大脑动力学异常与情绪或嗜睡损害之间的关系仍未得到充分探索。脑电图微状态分析为研究大脑网络的大规模动力学提供了一种有价值的方法。我们对71名参与者实施了严格的睡眠剥夺方案，收集了正常睡眠和睡眠剥夺（SD）条件后的静息态脑电图数据、主观嗜睡、客观警觉性和情绪评估。比较了睡眠对照（SC）和SD条件下的微状态时间参数。此外，我们研究了这些参数的变化如何与SC和SD之间嗜睡和情绪变化的主观或客观测量相关。SD显著降低了微状态B的平均持续时间和出现频率，同时增加了微状态C的平均持续时间和出现频率。微状态B出现频率的降低与较高的卡罗林斯卡嗜睡量表得分显著相关，而微状态B持续时间的缩短表明在心理运动警觉表现上反应时间增加。在SC和SD之间，未观察到微状态参数与积极情绪下降之间存在显著关联。对两种条件下的积极情绪得分进行了Pearson相关分析。研究结果表明，在SD条件下，积极情绪得分与微状态B的平均持续时间之间存在显著正相关。本研究使用大量的SD数据集表明，主观或客观嗜睡以及积极情绪与微状态B的减少有关。这些发现表明，SD会破坏视觉网络内的神经动力学。
