Alipour Mahmoud, Rausch Joseph, Mednick Sara C, Cook Jesse D, Plante David T, Malerba Paola
Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA.
The Ohio State University, College of Medicine, Columbus, Ohio, USA.
J Sleep Res. 2025 Oct;34(5):e70059. doi: 10.1111/jsr.70059. Epub 2025 Apr 1.
Research suggests that the spatial profile of slow wave activity (SWA) could be altered in hypersomnolence. Slow oscillations (SOs; 0.5-1.5 Hz), single waveform events contributing to SWA, can be labelled as Global, Frontal, or Local depending on their presentation on the scalp. We showed that SO space-time types differentiate in their amplitudes, coordination with sleep spindles, and propagation patterns. This study applies our data-driven analysis to the nocturnal sleep of adults with and without hypersomnolence and major depressive disorder (MDD) to explore the potential relevance of SO space-time patterns as hypersomnolence signatures in the sleep EEG. We leverage an existing dataset of nocturnal polysomnography with high-density EEG in 83 adults, organised in four groups depending on the presence/absence of hypersomnolence and on the presence/absence of MDD. Group comparisons were conducted considering either two groups (hypersomnolence status) or the four groups separately. Data shows enhanced Frontal SO activity compared with Global activity in hypersomnolence, with or without MDD, and a loss of Global SO amplitude at central regions in hypersomnolence without MDD compared to controls. As Global SOs travel fronto-parietally, we interpret these results as likely driven by a loss of coordination of Global SO activity in hypersomnolence without MDD, resulting in an overabundance of Frontal SOs. This study suggests that characteristics of Frontal SO and Global SOs may have the potential to differentiate individuals with hypersomnolence without MDD, and that the space-time organisation of SOs could be a mechanistically relevant indicator of changes in sleep brain dynamics related to hypersomnolence.
研究表明,在嗜睡症中慢波活动(SWA)的空间分布可能会发生改变。慢振荡(SOs;0.5 - 1.5赫兹)是构成SWA的单个波形事件,根据其在头皮上的表现可分为全局型、额叶型或局部型。我们发现,SO的时空类型在振幅、与睡眠纺锤波的协调性以及传播模式方面存在差异。本研究将我们的数据驱动分析应用于患有和未患有嗜睡症及重度抑郁症(MDD)的成年人的夜间睡眠,以探索SO时空模式作为睡眠脑电图中嗜睡症特征的潜在相关性。我们利用了一个现有的包含83名成年人夜间多导睡眠图及高密度脑电图的数据集,根据是否存在嗜睡症以及是否存在MDD将其分为四组。分别考虑两组(嗜睡症状态)或四组进行组间比较。数据显示,无论是否患有MDD,嗜睡症患者的额叶SO活动相对于全局活动均增强,且与对照组相比,未患有MDD的嗜睡症患者中央区域的全局SO振幅降低。由于全局SO从前额叶向顶叶传播,我们将这些结果解释为可能是由于未患有MDD的嗜睡症患者中全局SO活动的协调性丧失所致,从而导致额叶SO过多。这项研究表明,额叶SO和全局SO的特征可能有潜力区分未患有MDD的嗜睡症个体,并且SO的时空组织可能是与嗜睡症相关的睡眠脑动力学变化的一个具有机制相关性的指标。