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Deep Learning–Based Assessment of Brain Connectivity Related to Obstructive Sleep Apnea and Daytime Sleepiness
Author(s) -
Minhee Lee,
Seung Ku Lee,
Robert J. Thomas,
Jee-Eun Yoon,
Chang-Ho Yun,
Chol Shin
Publication year - 2021
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s327110
Subject(s) - daytime , excessive daytime sleepiness , obstructive sleep apnea , medicine , epworth sleepiness scale , polysomnography , sleep apnea , apnea , audiology , cognition , sleep disorder , psychiatry , atmospheric sciences , geology
Obstructive sleep apnea (OSA) is associated with altered pairwise connections between brain regions, which might explain cognitive impairment and daytime sleepiness. By adopting a deep learning method, we investigated brain connectivity related to the severity of OSA and daytime sleepiness.

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