| Yang Ying,Xu Haiting,Pan Weigang,Xu Xinpeng,Liu Siyuan,Li Xiaohong,Application of frontal electroencephalogram in assessment of anxiety， depression，and sleep quality in adolescents with emotional disorders[J].SICHUAN MENTAL HEALTH,2026,(2):112-118 |
| Application of frontal electroencephalogram in assessment of anxiety， depression，and sleep quality in adolescents with emotional disorders |
DOI：10.11886/scjsws20250910002 |
| English keywords:Adolescents Emotional disorders Frontal electroencephalography Anxiety Depression Sleep quality |
| Fund projects: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）；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） |
| Author Name | Affiliation | Postcode | | Yang Ying | 1Beijing Anding Hospital, Capital Medical University, National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing 100088, China | 100088 | | Xu Haiting | 2Beijing Huilongguan Hospital, Capital Medical University, Beijing 100096, China | 100096 | | Pan Weigang | 2Beijing Huilongguan Hospital, Capital Medical University, Beijing 100096, China | 100096 | | Xu Xinpeng | 2Beijing Huilongguan Hospital, Capital Medical University, Beijing 100096, China | 100096 | | Liu Siyuan | 1Beijing Anding Hospital, Capital Medical University, National Clinical Research Center for Mental Disorders, Beijing Key Laboratory of Mental Disorders, Beijing 100088, China | 100088 | | Li Xiaohong* | 2Beijing Huilongguan Hospital, Capital Medical University, Beijing 100096, China | 100096 |
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| 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. ［Funded by Beijing High level Innovation and Entrepreneurship Talent Support Program （number， 202504841041）； Horizontal Joint Project］ |
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