التفاصيل البيبلوغرافية
العنوان: |
ANPHY-Sleep: an Open Sleep Database from Healthy Adults Using High-Density Scalp Electroencephalogram |
المؤلفون: |
Xiaoyan Wei, Tamir Avigdor, Alyssa Ho, Erica Minato, Alfonso Garcia-Asensi, Jessica Royer, Yingqi Laetitia Wang, Vojtech Travnicek, Katharina Schiller, Boris C. Bernhardt, Birgit Frauscher |
المصدر: |
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024) |
بيانات النشر: |
Nature Portfolio, 2024. |
سنة النشر: |
2024 |
المجموعة: |
LCC:Science |
مصطلحات موضوعية: |
Science |
الوصف: |
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. |
نوع الوثيقة: |
article |
وصف الملف: |
electronic resource |
اللغة: |
English |
تدمد: |
2052-4463 |
Relation: |
https://doaj.org/toc/2052-4463 |
DOI: |
10.1038/s41597-024-03722-1 |
URL الوصول: |
https://doaj.org/article/97704c1bdc1c4e66beb316043b97525d |
رقم الانضمام: |
edsdoj.97704c1bdc1c4e66beb316043b97525d |
قاعدة البيانات: |
Directory of Open Access Journals |