Yoon Jee-Eun, Ji Minsu, Hwang Inha, Lee Woo-Jin, Yu Seongkwon, Kim Jaemyoung, Lee Chanhyung, Lee Haeil, Koh Bumjun, Bae Hyeonmin, Yun Chang-Ho
Department of Neurology, Seoul National University Bundang Hospital and Seoul National University College of Medicine, Seongnam, Republic of Korea.
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejon, Republic of Korea.
J Cereb Blood Flow Metab. 2025 Jun 25:271678X251353142. doi: 10.1177/0271678X251353142.
This study investigates brain water dynamics across the sleep-wake cycle using near-infrared spectroscopy (NIRS) and linear mixed-effects modeling, motivated by prior observations that glymphatic activity increases during non-rapid eye movement (NREM) and decreases during REM sleep. Forty-one healthy volunteers underwent polysomnography with concurrent cerebral NIRS, with measurements taken 30 minutes before sleep, throughout the night, and for 60 minutes after waking. Brain water content (arbitrary unit, A.U.) was block-averaged for 5-minute epochs and analyzed across WAKE→NREM, NREM→WAKE, NREM→REM, and REM→NREM transitions. Water content significantly increased during WAKE→NREM (0.57 A.U., 0.77, p < 0.001) and decreased during NREM→WAKE (-0.93 A.U., = -1.25, p < 0.001). Decreases during NREM→REM (-0.40 A.U., -0.53, p < 0.05) were followed by increases during REM→NREM (0.62 A.U., 1.10, p < 0.001). Brain water accumulation was significantly greater during the first compared to the last NREM cycle (0.70 A.U., 0.86, p < 0.01). These findings reveal robust, state-dependent fluctuations in brain water content that parallel established glymphatic physiology. Water-sensitive NIRS may offer a promising non-invasive approach to monitoring sleep-related brain fluid dynamics in humans, though further multimodal studies are needed to determine its specificity for glymphatic activity.
本研究利用近红外光谱(NIRS)和线性混合效应模型,对睡眠-觉醒周期中的脑水动力学进行了研究。此前有观察发现,在非快速眼动(NREM)睡眠期间,类淋巴系统活动增强,而在快速眼动(REM)睡眠期间则减弱,本研究正是受此启发开展的。41名健康志愿者接受了多导睡眠图检查,并同步进行了脑部NIRS测量,测量时间为睡前30分钟、整个夜间以及醒来后60分钟。脑含水量(任意单位,A.U.)以5分钟为一个时段进行分组平均,并在清醒→NREM、NREM→清醒、NREM→REM以及REM→NREM转换过程中进行分析。在清醒→NREM期间,含水量显著增加(0.57 A.U., = 0.77,p < 0.001),而在NREM→清醒期间则下降(-0.93 A.U., = -1.25,p < 0.001)。在NREM→REM期间下降(-0.40 A.U., = -0.53,p < 0.05),随后在REM→NREM期间上升(0.62 A.U.,1.10,p < 0.001)。与最后一个NREM周期相比,第一个NREM周期中的脑水积聚明显更多(0.70 A.U.,0.86,p < 0.01)。这些发现揭示了脑含水量存在与状态相关的强烈波动,这与已确立的类淋巴系统生理学情况相符。尽管需要进一步开展多模式研究以确定其对类淋巴系统活动的特异性,但对水敏感的NIRS可能为监测人类睡眠相关的脑液动力学提供一种有前景的非侵入性方法。