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ANPHY-Sleep: an Open Sleep Database from Healthy Adults Using High-Density Scalp Electroencephalogram

X. Wei, T. Avigdor, A. Ho, E. Minato, A. Garcia-Asensi, J. Royer, YL. Wang, V. Travnicek, K. Schiller, BC. Bernhardt, B. Frauscher

. 2024 ; 11 (1) : 896. [pub] 20240817

Language English Country England, Great Britain

Document type Dataset, Journal Article

Persistent link   https://www.medvik.cz/link/bmc24019317

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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$a Well-documented sleep datasets from healthy adults are important for sleep pattern analysis and comparison with a wide range of neuropsychiatric disorders. Currently, available sleep datasets from healthy adults are acquired using low-density arrays with a minimum of four electrodes in a typical sleep montage. The low spatial resolution is thus prohibitive for the analysis of the spatial structure of sleep. Here we introduce an open-access sleep dataset from 29 healthy adults (13 female, aged 32.17 ± 6.30 years) acquired at the Montreal Neurological Institute. The dataset includes overnight polysomnograms with high-density scalp electroencephalograms incorporating 83 electrodes, electrocardiogram, electromyogram, electrooculogram, and an average of electrode positions using manual co-registrations and sleep scoring annotations. Data characteristics and group-level analysis of sleep properties were assessed. The database can be accessed through ( https://doi.org/10.17605/OSF.IO/R26FH ). This is the first high-density electroencephalogram open sleep database from healthy adults, allowing researchers to investigate sleep physiology at high spatial resolution. We expect that this database will serve as a valuable resource for studying sleep physiology and for benchmarking sleep pathology.
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$a Avigdor, Tamir $u Analytical Neurophysiological Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada $u Multimodal Functional Imaging Lab, Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada
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$a Ho, Alyssa $u Analytical Neurophysiological Lab, Department of Neurology, Duke University, Durham, North Carolina, USA $1 https://orcid.org/0009000977788303
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$a Minato, Erica $u Analytical Neurophysiological Lab, Department of Neurology, Duke University, Durham, North Carolina, USA
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$a Wang, Yingqi Laetitia $u Analytical Neurophysiological Lab, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada
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