Lyon Neuroscience Research Centre, INSERM U 1028/CNRS UMR5292, Bron, France.
Lyon Neuroscience Research Centre, INSERM U 1028/CNRS UMR5292, Bron, France; Centre for Sleep Medicine and Respiratory Diseases, Hospices Civils de Lyon, Lyon 1 University, Lyon, France.
Clin Neurophysiol. 2024 Oct;166:252-261. doi: 10.1016/j.clinph.2024.06.014. Epub 2024 Jul 9.
Coupling of sleep spindles with cortical slow waves and hippocampus sharp-waves ripples is crucial for sleep-related memory consolidation. Recent literature evidenced that nasal respiration modulates neural activity in large-scale brain networks. In rodents, this respiratory drive strongly varies according to vigilance states. Whether sleep oscillations are also respiration-modulated in humans remains open. In this work, we investigated the influence of breathing on sleep spindles during non-rapid-eye-movement sleep in humans.
Full night polysomnography of twenty healthy participants were analysed. Spindles and slow waves were automatically detected during N2 and N3 stages. Spindle-related sigma power as well as spindle and slow wave events were analysed according to the respiratory phase.
We found a significant coupling between both slow and fast spindles and the respiration cycle, with enhanced sigma activity and occurrence probability of spindles during the middle part of the expiration phase. A different coupling was observed for slow waves negative peaks which were rather distributed around the two respiration phase transitions.
Our findings suggest that breathing cycle influences the dynamics of brain activity during non-rapid-eye-movement sleep.
This coupling may enable sleep spindles to synchronize with other sleep oscillations and facilitate information transfer between distributed brain networks.
睡眠纺锤波与皮质慢波和海马锐波的耦合对于与睡眠相关的记忆巩固至关重要。最近的文献表明,鼻呼吸调节着大脑网络的神经活动。在啮齿动物中,这种呼吸驱动力根据警觉状态而强烈变化。在人类中,睡眠振荡是否也受到呼吸调节仍未可知。在这项工作中,我们研究了在人类非快速眼动睡眠期间呼吸对睡眠纺锤波的影响。
对 20 名健康参与者进行整夜多导睡眠图分析。在 N2 和 N3 阶段自动检测纺锤波和慢波。根据呼吸阶段分析与纺锤波相关的西格玛功率以及纺锤波和慢波事件。
我们发现慢波和快波与呼吸周期之间存在显著的耦合,在呼气中期,西格玛活动增强,纺锤波的出现概率增加。对于慢波负峰,则观察到不同的耦合,其分布更倾向于两个呼吸阶段转换点周围。
我们的发现表明,呼吸周期影响非快速眼动睡眠期间大脑活动的动力学。
这种耦合可能使睡眠纺锤波与其他睡眠振荡同步,并促进分布式脑网络之间的信息传递。