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首页|期刊导航|四川精神卫生|额叶脑电图在青少年情绪障碍患者焦虑抑郁情绪和睡眠质量评估中的应用

额叶脑电图在青少年情绪障碍患者焦虑抑郁情绪和睡眠质量评估中的应用

杨颖 徐海婷 潘伟刚 徐鑫鹏 刘思源 李晓虹

四川精神卫生2026,Vol.39Issue(2):112-118,7.
四川精神卫生2026,Vol.39Issue(2):112-118,7.DOI:10.11886/scjsws20250910002

额叶脑电图在青少年情绪障碍患者焦虑抑郁情绪和睡眠质量评估中的应用

Application of frontal electroencephalogram in assessment of anxiety,depression,and sleep quality in adolescents with emotional disorders

杨颖 1徐海婷 2潘伟刚 2徐鑫鹏 2刘思源 1李晓虹2

作者信息

  • 1. 首都医科大学附属北京安定医院,国家精神心理疾病临床医学研究中心,精神疾病诊断与治疗北京市重点实验室,北京 100088
  • 2. 首都医科大学附属北京回龙观医院,北京 100096
  • 折叠

摘要

Abstract

Background Emotional disorders in adolescents have emerged as a prominent issue in recent years.Current mainstream clinical assessment approaches for such conditions predominantly rely on interviews and rating scales,which are limited by inherent drawbacks such as high subjectivity and recall bias.Accordingly,there exists an urgent clinical need for the development of objective,quantifiable auxiliary diagnostic tools.In previous studies,frontal electroencephalography(EEG)has demonstrated significant value in assessing depressive and anxiety.However,the lack of standardized quantitative metrics and intuitive visual analytical approaches has severely restricted clinical interpretability of EEG data and diminished patient engagement.To address these key limitations,the present study proposes an innovative analytical framework that converts frontal EEG signals into quantifiable visual metrics to enhance clinical comprehension and acceptance.Objective To explore the value of frontal EEG in assessing anxiety,depression,and sleep quality in adolescents with emotional disorders,with the aim of providing objective auxiliary tools for clinical diagnosis and assessment of adolescents with emotional disorders.Methods This cross-sectional study recruited 105 adolescents aged 12-18 years who visited the outpatient department of a specialized mental hospital in Beijing from April 2023 to April 2024.All participants met the diagnostic criteria for mood(affective)disorders or anxiety disorders in the International Classification of Diseases,tenth edition(ICD-10).Frontal EEG signals were collected within a big data analytics-driven framework and further processed by EEG system to generate six quantitative cerebral function indices,namely brain load,tension and excitement,emotional stress,sleepiness index,cerebral vitality,and cerebral fatigue.In addition,validated standardized scales,including the Self-rating Anxiety Scale(SAS),the Self-rating Depression Scale(SDS),and the Pittsburgh Sleep Quality Index(PSQI),were administered for anxiety,depressive symptoms,and sleep quality,respectively.Results In adolescent patients with emotional disorders,the SAS score exhibited significant positive correlations with brain load(rs=0.328,P<0.01),emotional stress(rs=0.341,P<0.01),and cerebral fatigue(rs=0.286,P<0.01).The SDS score was positively correlated with brain load(rs=0.275,P<0.01),emotional stress(rs=0.241,P<0.05),and cerebral fatigue(rs=0.311,P<0.01),while showing a significant negative correlation with cerebral vitality(rs=-0.212,P<0.05).Additionally,the PSQI total score demonstrated positive correlations with brain load(rs=0.340,P<0.01),emotional stress(rs=0.322,P<0.01),and cerebral fatigue(rs=0.229,P<0.05).Conclusion Frontal EEG-derived indices,including brain load,emotional stress,cerebral fatigue and cerebral vitality,may serve as objective markers for reflecting anxiety,depression,and sleep quality in adolescents with emotional disorders.

关键词

青少年/情绪障碍/额叶脑电图/焦虑/抑郁/睡眠质量

Key words

Adolescents/Emotional disorders/Frontal electroencephalography/Anxiety/Depression/Sleep quality

分类

医药卫生

引用本文复制引用

杨颖,徐海婷,潘伟刚,徐鑫鹏,刘思源,李晓虹..额叶脑电图在青少年情绪障碍患者焦虑抑郁情绪和睡眠质量评估中的应用[J].四川精神卫生,2026,39(2):112-118,7.

基金项目

北京高层次创新创业人才支持计划(项目名称:"首都高端领军人才聚集培养工程",项目编号:202504841041) (项目名称:"首都高端领军人才聚集培养工程",项目编号:202504841041)

横向联合课题(项目名称:基于耳部-额叶脑电图(ear-EEG)的大数据分析对于情绪障碍分级评估) Funded by Beijing High level Innovation and Entrepreneurship Talent Support Program(number,202504841041) (项目名称:基于耳部-额叶脑电图(ear-EEG)

Horizontal Joint Project ()

四川精神卫生

1007-3256

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