基于静息态脑电微状态分析的青少年抑郁症自杀特征研究-国际临床研究杂志-CSCIED科技核心评价数据库-手机版

基于静息态脑电微状态分析的青少年抑郁症自杀特征研究

A study on suicide characteristics in adolescents with depression based on resting-state EEG microstate analysis

ES评分 0 浏览量：75 下载量：0

DOI	10.12208/j.ijcr.20250517
刊名	国际临床研究杂志 International Journal of Clinical Research
年，卷(期)	2025, 9(11)
作者	操军², 陈小容¹, 李大奇¹, 万里洋¹, 张爽¹,
作者单位	1 重庆医科大学附属大学城医院精神科重庆 2 重庆医科大学附属第一医院精神科重庆
摘要	目的抑郁症是影响青少年成长的严重心理健康问题，其患病率在过去十年急剧上升，而自杀是青少年抑郁症最严重的后果，青少年抑郁症自杀问题引起了社会日益广泛的关注。然而目前对于青少年抑郁症自杀的神经生物学特征仍知之甚少，因此准确识别和预防青少年抑郁症自杀的发生仍然面临挑战。方法采用病例-对照研究，我们纳入了19例伴有自杀未遂的青少年抑郁症患者（SAD组）、11例不伴有自杀行为的青少年抑郁症患者（MDD组）以及20名健康对照者（HC组），采集睁眼静息态脑电信号，进行微状态聚类与参数比较比较三组脑电微状态的差异，以期探索静息态脑电微状态在青少年抑郁症自杀未遂患者中的特异性表现。结果研究结果显示：与MDD组相比，SAD组微状态B的平均持续时间（P<0.001）和覆盖范围（P<0.001）显著升高；与HC组相比，SAD组的微状态B的平均持续时间（P<0.001）、出现频次（P<0.001）以及覆盖范围显著升高（P<0.001），微状态C的平均持续时间（P<0.001）、出现频次（P<0.001）和覆盖范围显著降低（P=0.002）；MDD组微状态B的出现频次（P<0.001）和覆盖范围（P<0.001）较HC组升高，而微状态C的出现频次较HC组显著降低（P<0.001）。结论本研究表明静息态脑电微状态特征可作为识别青少年抑郁症患者自杀行为的潜在生物标记物。但仍需进一步深入探索，未来有望为青少年抑郁症自杀的精准防控提供参考。
Abstract	Objective Depression is a serious mental health problem that affects adolescent development, and its prevalence has risen sharply over the past decade. Suicide is the most severe consequence of depression in youth, drawing increasing societal attention. However, the neurobiological characteristics underlying suicidal behavior in adolescents with depression remain poorly understood, making accurate identification and prevention of suicide in this population a continuing challenge. Methods Using a case–control design, we enrolled 19 adolescents diagnosed with major depressive disorder and a history of suicide attempt (SAD group), 11 adolescents with depression but no suicidal behavior (MDD group), and 20 healthy controls (HC group). Eyes-open resting-state EEG was recorded, microstate clustering was performed, and the resulting parameters were compared across the three groups to identify resting-state EEG microstate features specific to depressed adolescents with suicide attempt. Results The results showed that, compared with the MDD group, the SAD group exhibited significantly longer mean duration (P < 0.001) and greater coverage (P < 0.001) of microstate B. Relative to the HC group, the SAD group displayed increased mean duration (P < 0.001), occurrence frequency (P < 0.001), and coverage (P < 0.001) of microstate B, along with decreased mean duration (P < 0.001), occurrence frequency (P < 0.001), and coverage (P = 0.002) of microstate C. The MDD group, in turn, showed higher occurrence frequency (P < 0.001) and coverage (P < 0.001) of microstate B and lower occurrence frequency of microstate C (P < 0.001) than the HC group. Conclusion These findings suggest that resting-state EEG microstate characteristics could serve as potential biomarkers for identifying suicidal behavior in adolescents with depression. Further investigation is warranted, with the prospect of informing precision prevention and intervention strategies for youth depression-related suicide.
关键词	青少年；抑郁症；自杀未遂；静息态；脑电微状态
KeyWord	Adolescents; Depression; Suicide attempts; Resting-state; EEG microstates
基金项目
页码	27-31

参考文献
相关文献

[1] GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1789–858.

[2] Blakemore, S., 2019. Adolescence and mental health. The lancet 393, 2030-2031.

[3] Thapar, Anita,Eyre, Olga,Patel, Vikram , et al.Depression in young people
[J].LANCET,2022,400,(10352):617-631.

[4] Fazel S, Runeson B. Suicide
[J]. N Engl J Med, 2020,382(3): 266-274.

[5] Thompson A H. Younger onset of depression is associated with greater suicidal intent
[J]. Social psychiatry and psychiatric epidemiology, 2008, 43(7): 538-544.

[6] Da C J, Favrod O, Roinishvili M, et al. EEG microstates are a candidate endophenotype for schizophrenia
[J]. Nat Commun, 2020,11(1):3089.

[7] Murphy M, Stickgold R, Öngür D. Electroencephalogram Microstate Abnormalities in Early-Course Psychosis
[J]. Biol Psychiatry Cogn Neurosci Neuroimaging, 2020,5(1): 35-44.

[8] Lehmann D, Ozaki H, Pal I. EEG alpha map series: brain micro-states by space-oriented adaptive segmentation i
[J].Electroencephalography and ClinicalNeuro physiology, 67(3):271-288.

[9] Sun Q, Zhou J, Guo H, et al. EEG Microstates and Its Relationship With Clinical Symptoms in Patients With Schizophrenia
[J]. Frontiers in Psychiatry, 2021, 12:761203.

[10] Damborská A, Piguet C, Aubry J M, et al. Altered Electroencephalographic Resting-State Large-Scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients
[J]. Frontiers in Psychiatry, 2019, 10: 826.

[11] Vellante F, Ferri F, Baroni G, et al. Euthymic bipolar disorder patients and EEG microstates: a neural signature of their abnormal self experience？
[J]. Journal of Affective Disorders, 2020, 272: 326-334.

[12] Al Zoubi O, Mayeli A, Tsuchiyagaito A, et al. EEG Microstates Temporal Dynamics Differentiate Individuals with Mood and Anxiety Disorders From Healthy Subjects
[J]. Frontiers in Human Neuroscience, 2019, 13: 56.

[13] Da Cruz J R, Favrod O, Roinishvili M, et al. EEG microstates are a candidate endophenotype for schizophrenia
[J]. Nature Communications, 2020, 11(1): 3089.

[14] 何晓庆. 首发青少年抑郁症患者自杀意念的静息态脑电研究
[D]. 重庆医科大学, 2024.

[15] Zhao Z, Niu Y, Zhao X, et al. EEG microstate in first-episode drug-naive adolescents with depression
[J]. Journal of Neural Engineering, 2022, 19(5): 056016.

[16] 胡锦辉.伴非自杀性自伤的抑郁青少年对SSRI类药物疗效反应的静息态脑电微状态研究
[D].重庆医科大学,2023.

[17] Du M, PengY, Zhang M, et al. Effect of trait anxiety on cognitive flexibility:Evidence from event-related potentials and resting-state EEG
[J]. Biol Psychol. 2022Apr;170: 108319.

引用本文

操军, 陈小容, 李大奇, 万里洋, 张爽. 基于静息态脑电微状态分析的青少年抑郁症自杀特征研究 [J]. 国际临床研究杂志. 2025; 9; (11). 27 - 31.

文献评论

相关学者

相关机构