Effects of gender and age on sleep EEG functional connectivity differences in subjects with mild difficulty falling asleep

IntroductionDifficulty falling asleep place an increasing burden on society. EEG-based sleep staging is fundamental to the diagnosis of sleep disorder, and the selection of features for each sleep stage is a key step in the sleep analysis. However, the differences of sleep EEG features in gender and...

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Hlavní autoři:	Xiaodong Luo, Bin Zhou, Jilong Shi, Gang Li, Yixia Zhu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2024-07-01
Edice:	Frontiers in Psychiatry
Témata:	sleep sleep stages electroencephalography (EEG) polysomnography (PSG) machine learning functional connectivity
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1433316/full
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