Tarun Anjali, Wainstein-Andriano Danyal, Sterpenich Virginie, Bayer Laurence, Perogamvros Lampros, Solms Mark, Axmacher Nikolai, Schwartz Sophie, Van De Ville Dimitri
École Polytechnique Fédérale de Lausanne (Institute of Bioengineering, Medical Image Processing Laboratory), Geneva 1202, Switzerland.
University of Geneva (Department of Radiology and Medical Informatics), Geneva 1202, Switzerland.
iScience. 2020 Dec 10;24(1):101923. doi: 10.1016/j.isci.2020.101923. eCollection 2021 Jan 22.
Functional dissociations in the brain observed during non-rapid eye movement (NREM) sleep have been associated with reduced information integration and impaired consciousness that accompany increasing sleep depth. Here, we explored the properties of large-scale functional brain networks derived from brain activity using functional magnetic resonance imaging. Spatial brain maps generally display significant modifications in terms of their tendency to occur across wakefulness and NREM sleep. Unexpectedly, almost all networks predominated in activity during NREM stage 2 before an abrupt loss of activity is observed in NREM stage 3. Yet, functional connectivity and mutual dependencies between these networks progressively broke down with increasing sleep depth. Thus, the efficiency of information transfer during NREM stage 2 is low despite the high attempt to communicate. Critically, our approach provides relevant data for evaluating functional brain network integrity and our findings robustly support a significant advance in our neural models of human sleep and consciousness.
在非快速眼动(NREM)睡眠期间观察到的大脑功能分离与随着睡眠深度增加而出现的信息整合减少和意识受损有关。在这里,我们使用功能磁共振成像探索了源自大脑活动的大规模功能性脑网络的特性。空间脑图谱在其在清醒和NREM睡眠期间出现的趋势方面通常显示出显著变化。出乎意料的是,几乎所有网络在NREM第2阶段的活动中占主导地位,然后在NREM第3阶段观察到活动突然丧失。然而,随着睡眠深度的增加,这些网络之间的功能连接性和相互依赖性逐渐瓦解。因此,尽管有很高的交流尝试,但NREM第2阶段的信息传递效率很低。至关重要的是,我们的方法为评估功能性脑网络完整性提供了相关数据,并且我们的发现有力地支持了人类睡眠和意识神经模型的重大进展。