ArticleScientific data2024
ANPHY-Sleep: an Open Sleep Database from Healthy Adults Using High-Density Scalp Electroencephalogram.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography.Diagnostics (Basel, Switzerland) · 2026Article
- Predictability of sleep slow oscillation emergence and spatial extent from pre-onset neural dynamics.Scientific reports · 2026Article
- Disorder-specific alterations of transient oscillatory dynamics during sleep across cortical and subcortical networks.Scientific reports · 2026Article
- Article
- Rapid eye movement sleep displays distinct fractal dynamics between phasic and tonic states.Neuroscience of consciousness · 2026Article
- Human cortical dynamics reflect graded contributions of local geometry and network topography.Nature communications · 2025Article
- Article
- A continuous multi-night sleep database for exploring sleep structure similarity.Scientific data · 2025Article
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Authors and funding
11 authors.
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Abstract
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.
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