Tian Yun, Xie Chao, Lei Xu
Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715 China.
Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, 400715 China.
Cogn Neurodyn. 2022 Oct;16(5):1151-1162. doi: 10.1007/s11571-021-09772-0. Epub 2022 Jan 27.
Subjectively reported sleepiness and objectively measured vigilance are often used to assess and monitor operating performance. Evidence suggests that the response patterns of the two measures are independent of each other. However, the neural mechanism underlying this phenomenon remains unclear. This study aimed to investigate whether subjective sleepiness and objective vigilance were associated with each other. Thirty-three participants were subjected to 34 h of acute sleep deprivation. We collected sleepiness, vigilance, and resting-state fMRI data. We also located the neural mechanism of isolation of object and subject parameters. Firstly, the correlation analysis showed that there was no statistically significant correlation between the changes in vigilance and sleepiness during the sleep deprivation period. Then, implementing the support vector machine algorithm through functional connectivities as features, we found that different functional connectivity patterns underline the isolation of these two factors during sleep deprivation. The functional connectivities involved in characterizing the vulnerability of objective vigilance are more extensive, involving the connectivities within the sensorimotor network, between the subcortical and cortical network, and among multiple cortical networks. The functional connectivity involved in characterizing the vulnerability of subjective sleepiness is limited to the communication between the subcortical thalamus and the somatosensory cortex. In addition, we found that implementing global signal regression would reduce the model's power to predict vigilance and sleepiness. This work contributes to our understanding of how sleep deprivation affects individual cognition and behavior, and will be of use in the evaluation and prediction of cognitive performance during sleep loss.
The online version contains supplementary material available at 10.1007/s11571-021-09772-0.
主观报告的嗜睡和客观测量的警觉性常被用于评估和监测操作表现。有证据表明这两种测量的反应模式相互独立。然而，这一现象背后的神经机制仍不清楚。本研究旨在调查主观嗜睡和客观警觉性是否相互关联。33名参与者经历了34小时的急性睡眠剥夺。我们收集了嗜睡、警觉性和静息态功能磁共振成像数据。我们还定位了客观和主观参数分离的神经机制。首先，相关性分析表明，睡眠剥夺期间警觉性变化与嗜睡之间无统计学显著相关性。然后，以功能连接性为特征实施支持向量机算法，我们发现不同的功能连接模式是睡眠剥夺期间这两个因素分离的基础。用于表征客观警觉性易损性的功能连接更广泛，涉及感觉运动网络内、皮层下与皮层网络之间以及多个皮层网络之间的连接。用于表征主观嗜睡易损性的功能连接仅限于皮层下丘脑与体感皮层之间的通信。此外，我们发现实施全局信号回归会降低模型预测警觉性和嗜睡的能力。这项工作有助于我们理解睡眠剥夺如何影响个体认知和行为，并将用于评估和预测睡眠缺失期间的认知表现。
在线版本包含可在10.1007/s11571-021-09772-0获取的补充材料。
