Analytical Neurophysiological Lab, Department of Neurology, Duke University, Durham, North Carolina, USA.
Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.
Sci Data. 2024 Aug 17;11(1):896. doi: 10.1038/s41597-024-03722-1.
Well-documented sleep datasets from healthy adults are important for sleep pattern analysis and comparison with a wide range of neuropsychiatric disorders. Currently, available sleep datasets from healthy adults are acquired using low-density arrays with a minimum of four electrodes in a typical sleep montage. The low spatial resolution is thus prohibitive for the analysis of the spatial structure of sleep. Here we introduce an open-access sleep dataset from 29 healthy adults (13 female, aged 32.17 ± 6.30 years) acquired at the Montreal Neurological Institute. The dataset includes overnight polysomnograms with high-density scalp electroencephalograms incorporating 83 electrodes, electrocardiogram, electromyogram, electrooculogram, and an average of electrode positions using manual co-registrations and sleep scoring annotations. Data characteristics and group-level analysis of sleep properties were assessed. The database can be accessed through ( https://doi.org/10.17605/OSF.IO/R26FH ). This is the first high-density electroencephalogram open sleep database from healthy adults, allowing researchers to investigate sleep physiology at high spatial resolution. We expect that this database will serve as a valuable resource for studying sleep physiology and for benchmarking sleep pathology.
有大量文献记录的健康成年人睡眠数据集对于睡眠模式分析以及与广泛的神经精神疾病进行比较非常重要。目前，从健康成年人获得的可用睡眠数据集是使用典型睡眠监测中至少有四个电极的低密度电极排列获得的。因此，低空间分辨率对于睡眠的空间结构分析来说是不可取的。在这里，我们介绍了一个来自 29 位健康成年人（13 位女性，年龄 32.17±6.30 岁）的公开睡眠数据集，该数据集是在蒙特利尔神经学研究所获得的。该数据集包括整晚的多导睡眠图和高密度头皮脑电图，其中包含 83 个电极、心电图、肌电图、眼电图以及使用手动配准和睡眠评分注释的平均电极位置。评估了数据特征和睡眠特性的组级分析。该数据库可通过 (https://doi.org/10.17605/OSF.IO/R26FH) 访问。这是第一个来自健康成年人的高密度脑电图公开睡眠数据库，允许研究人员以高空间分辨率研究睡眠生理学。我们预计该数据库将成为研究睡眠生理学和睡眠病理学基准的有价值资源。
