Center for Sleep Medicine and Respiratory Diseases, Croix-Rousse Hospital, University Hospital of Lyon, Lyon 1 University, 69004 Lyon, France.
Lyon Neuroscience Research Center, CNRS UMR5292/INSERM U1028, Lyon 69000, France.
Proc Natl Acad Sci U S A. 2023 Jun 27;120(26):e2300387120. doi: 10.1073/pnas.2300387120. Epub 2023 Jun 20.
Transitions between wake and sleep states show a progressive pattern underpinned by local sleep regulation. In contrast, little evidence is available on non-rapid eye movement (NREM) to rapid eye movement (REM) sleep boundaries, considered as mainly reflecting subcortical regulation. Using polysomnography (PSG) combined with stereoelectroencephalography (SEEG) in humans undergoing epilepsy presurgical evaluation, we explored the dynamics of NREM-to-REM transitions. PSG was used to visually score transitions and identify REM sleep features. SEEG-based local transitions were determined automatically with a machine learning algorithm using features validated for automatic intra-cranial sleep scoring (10.5281/zenodo.7410501). We analyzed 2988 channel-transitions from 29 patients. The average transition time from all intracerebral channels to the first visually marked REM sleep epoch was 8 s ± 1 min 58 s, with a great heterogeneity between brain areas. Transitions were observed first in the lateral occipital cortex, preceding scalp transition by 1 min 57 s ± 2 min 14 s (d = -0.83), and close to the first sawtooth wave marker. Regions with late transitions were the inferior frontal and orbital gyri (1 min 1 s ± 2 min 1 s, d = 0.43, and 1 min 1 s ± 2 min 5 s, d = 0.43, after scalp transition). Intracranial transitions were earlier than scalp transitions as the night advanced (last sleep cycle, d = -0.81). We show a reproducible gradual pattern of REM sleep initiation, suggesting the involvement of cortical mechanisms of regulation. This provides clues for understanding oneiric experiences occurring at the NREM/REM boundary.
清醒与睡眠状态之间的转换表现出一种渐进的模式,这种模式由局部睡眠调节所支撑。相比之下,非快速眼动(NREM)到快速眼动(REM)睡眠边界的证据很少,这些边界被认为主要反映了皮质下调节。在接受癫痫术前评估的患者中,我们使用多导睡眠图(PSG)结合立体脑电图(SEEG)来探索 NREM 到 REM 睡眠的转换。PSG 用于对转换进行视觉评分,并识别 REM 睡眠特征。使用基于 SEEG 的机器学习算法自动确定局部转换,该算法使用针对自动颅内睡眠评分验证的特征(10.5281/zenodo.7410501)。我们分析了 29 名患者的 2988 个通道转换。从所有颅内通道到第一个视觉标记的 REM 睡眠期的平均转换时间为 8 秒±1 分 58 秒,大脑区域之间存在很大的异质性。转换首先发生在外侧枕叶皮层,比头皮转换早 1 分 57 秒±2 分 14 秒(d = -0.83),并且接近第一个锯齿波标记。转换较晚的区域是下额和眶回(1 分 1 秒±2 分 1 秒,d = 0.43,和 1 分 1 秒±2 分 5 秒,d = 0.43,在头皮转换后)。随着夜晚的推进,颅内转换早于头皮转换(最后一个睡眠周期,d = -0.81)。我们展示了 REM 睡眠起始的可重复逐渐模式,这表明皮质调节机制的参与。这为理解发生在 NREM/REM 边界的梦境体验提供了线索。