Advances on sleep electroencephalogram in the subtyping and treatment of insomnia disorder
10.3760/cma.j.cn371468-20230612-00276
- VernacularTitle:失眠障碍患者睡眠脑电分型与治疗研究进展
- Author:
Dongbin LYU
1
;
Yu ZHANG
;
Chengmei YUAN
;
Tianhong ZHANG
;
Zeping XIAO
Author Information
1. 上海交通大学医学院附属精神卫生中心，上海 200030
- Keywords:
Insomnia disorder;
Sleep electroencephalogram;
Sleep structure;
Subtyping;
Treatment;
Outcome
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2024;33(1):83-88
- CountryChina
- Language:Chinese
-
Abstract:
Insomnia disorder is a common clinical mental disorder.Currently, clinical subtyping of insomnia disorder relies primarily on symptomatic descriptions, lacking objective measures and subtyping-based treatment approaches. In recent years, increasing attention has been drawn to sleep electroencephalography (EEG) as a valuable tool for observing abnormal sleep architecture and continuity of insomnia disorder. Sleep EEG analysis holds the potential to elucidate the underlying biological mechanisms of insomnia disorder, facilitating data-driven subtyping and enhancing personalized therapeutic strategies.Five types of sleep EEG subtypes of insomnia disorder were systematically searched and summarized: classifications derived from objective sleep duration, power spectral characteristics, cyclic alternating pattern, spindle and microarousal.EEG characteristics of each subtype and clinical outcomes are discussed.This review aims to provide evidence-based insights for clinical subtyping and personalized treatment of insomnia disorder.
