基于脑电微状态的精神障碍研究综述
A Review of EEG Microstates in Psychiatric Disorders
摘要: 脑电微状态是一种基于脑电图的分析方法,通过识别脑电活动的短暂稳定模式来揭示大脑的动态功能状态。近年来,脑电微状态在精神障碍的研究中得到了广泛关注,因其具有成为客观生物标志物的潜力,能够为精神障碍的诊断和治疗提供新的视角。本文综述了脑电微状态在精神障碍领域的应用进展,探讨了其在早期识别、跨诊断与共病性研究及治疗效果评估中的潜在价值。尽管脑电微状态具有重要的应用前景,但其在实际应用中仍面临诸多挑战。聚类算法和标记标准的选择、患者特征以及精神障碍的异质性等因素均可能影响其可靠性和有效性。本文通过系统梳理现有研究,分析了这些因素对脑电微状态应用的影响,并探讨了未来研究的方向,以期为未来的研究和临床应用提供参考。
Abstract: Electroencephalographic (EEG) Microstates are an analytical method based on EEG that identifies transient stable patterns of brain electrical activity to reveal the dynamic functional states of the brain. In recent years, EEG Microstates have garnered significant attention in the study of psychiatric disorders due to their potential as objective biomarkers, offering new insights into the diagnosis and treatment of these conditions. This review summarizes the progress of EEG Microstates in the field of psychiatric disorders and explores their potential value in early identification, transdiagnostic research, comorbidity research, and treatment effect assessment. Despite the promising application prospects of EEG Microstates, several challenges remain in their practical use. Factors such as clustering algorithms and labeling criteria, clinical characteristics of patients, and the heterogeneity and complexity of psychiatric disorders can all influence their reliability and effectiveness. This review systematically examines the existing research to analyze the impact of these factors on the application of EEG Microstates and discusses future research directions, with the goal of providing a reference for future studies and clinical applications.
文章引用:苏文秀 (2025). 基于脑电微状态的精神障碍研究综述. 心理学进展, 15(4), 442-450. https://doi.org/10.12677/ap.2025.154225

参考文献

[1] 郭春彦, 张怡, 丁倩, 王谦, 杨禹欣, 冯晓萱, 王天有(2021). 涉及儿童的临床研究伦理审查指南(北京). 中国临床药理学杂志, 37(11), 1476-1480.
[2] 颜蓉(2023). 癫痫共病焦虑抑郁状态患者静息态脑电图的微状态研究. 硕士学位论文, 遵义: 遵义医科大学.
[3] Al-Fahad, R., & Yeasin, M. (2019). Micro-States Based Dynamic Brain Connectivity in Understanding the Commonality and Differences in Gender-Specific Emotion Processing. In 2019 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.[CrossRef
[4] Atluri, S., Wong, W., Moreno, S., Blumberger, D. M., Daskalakis, Z. J., & Farzan, F. (2018). Selective Modulation of Brain Network Dynamics by Seizure Therapy in Treatment-Resistant Depression. NeuroImage: Clinical, 20, 1176-1190.[CrossRef] [PubMed]
[5] Britz, J., Van De Ville, D., & Michel, C. M. (2010). BOLD Correlates of EEG Topography Reveal Rapid Resting-State Network Dynamics. NeuroImage, 52, 1162-1170.[CrossRef] [PubMed]
[6] Cao, Q., Wang, Y., Ji, Y., He, Z., & Lei, X. (2024). Resting-State EEG Reveals Abnormal Microstate Characteristics of Depression with Insomnia. Brain Topography, 37, 388-396.[CrossRef] [PubMed]
[7] Che, Q., Xi, C., Sun, Y., Zhao, X., Wang, L., Wu, K. et al. (2025). EEG Microstate as a Biomarker of Personalized Transcranial Magnetic Stimulation Treatment on Anhedonia in Depression. Behavioural Brain Research, 483, Article ID: 115463.[CrossRef] [PubMed]
[8] Custo, A., Van De Ville, D., Wells, W. M., Tomescu, M. I., Brunet, D., & Michel, C. M. (2017). Electroencephalographic Resting-State Networks: Source Localization of Microstates. Brain Connectivity, 7, 671-682.[CrossRef] [PubMed]
[9] da Cruz, J. R., Favrod, O., Roinishvili, M., Chkonia, E., Brand, A., Mohr, C. et al. (2020). EEG Microstates Are a Candidate Endophenotype for Schizophrenia. Nature Communications, 11, Article No. 3089.[CrossRef] [PubMed]
[10] Dalgleish, T., Black, M., Johnston, D., & Bevan, A. (2020). Transdiagnostic Approaches to Mental Health Problems: Current Status and Future Directions. Journal of Consulting and Clinical Psychology, 88, 179-195.[CrossRef] [PubMed]
[11] Damborská, A., Piguet, C., Aubry, J., Dayer, A. G., Michel, C. M., & Berchio, C. (2019). Altered Electroencephalographic Resting-State Large-Scale Brain Network Dynamics in Euthymic Bipolar Disorder Patients. Frontiers in Psychiatry, 10, Article No. 826.[CrossRef] [PubMed]
[12] Ding, X., Li, X., Xu, M., He, Z., & Jiang, H. (2023). The Effect of Repetitive Transcranial Magnetic Stimulation on Electroencephalography Microstates of Patients with Heroin-Addiction. Psychiatry Research: Neuroimaging, 329, Article ID: 111594.[CrossRef] [PubMed]
[13] Feinstein, A. R. (1970). The Pre-Therapeutic Classification of Co-Morbidity in Chronic Disease. Journal of Chronic Diseases, 23, 455-468.[CrossRef] [PubMed]
[14] Fingelkurts, A. A., Fingelkurts, A. A., Kivisaari, R., Pekkonen, E., Ilmoniemi, R. J., & Kähkönen, S. (2004). Local and Remote Functional Connectivity of Neocortex under the Inhibition Influence. NeuroImage, 22, 1390-1406.[CrossRef] [PubMed]
[15] He, Y., Yu, Q., Yang, T., Zhang, Y., Zhang, K., Jin, X. et al. (2021). Abnormalities in Electroencephalographic Microstates among Adolescents with First Episode Major Depressive Disorder. Frontiers in Psychiatry, 12, Article ID: 775156.[CrossRef] [PubMed]
[16] Iftimovici, A., Marchi, A., Férat, V., Pruvost-Robieux, E., Guinard, E., Morin, V. et al. (2023). Electroencephalography Microstates Imbalance across the Spectrum of Early Psychosis, Autism, and Mood Disorders. European Psychiatry, 66, e41.[CrossRef] [PubMed]
[17] Ihl, R., & Brinkmeyer, J. (1999). Differential Diagnosis of Aging, Dementia of the Alzheimer Type and Depression with EEG-Segmentation. Dementia and Geriatric Cognitive Disorders, 10, 64-69.[CrossRef] [PubMed]
[18] Javed, E., Croce, P., Zappasodi, F., & Del Gratta, C. (2020). Normal Aging: Alterations in Scalp EEG Using Broadband and Band-Resolved Topographic Maps. Frontiers in Physics, 8, Article No. 82.[CrossRef
[19] Khanna, A., Pascual-Leone, A., Michel, C. M., & Farzan, F. (2015). Microstates in Resting-State EEG: Current Status and Future Directions. Neuroscience & Biobehavioral Reviews, 49, 105-113.[CrossRef] [PubMed]
[20] Koenig, T., Lehmann, D., Merlo, M. C. G., Kochi, K., Hell, D., & Koukkou, M. (1999). A Deviant EEG Brain Microstate in Acute, Neuroleptic-Naive Schizophrenics at Rest. European Archives of Psychiatry and Clinical Neuroscience, 249, 205-211.[CrossRef] [PubMed]
[21] Koenig, T., Prichep, L., Lehmann, D., Sosa, P. V., Braeker, E., Kleinlogel, H. et al. (2002). Millisecond by Millisecond, Year by Year: Normative EEG Microstates and Developmental Stages. NeuroImage, 16, 41-48.[CrossRef] [PubMed]
[22] Lehmann, D., & Skrandies, W. (1980). Reference-Free Identification of Components of Checkerboard-Evoked Multichannel Potential Fields. Electroencephalography and Clinical Neurophysiology, 48, 609-621.[CrossRef] [PubMed]
[23] Lehmann, D., Faber, P. L., Galderisi, S., Herrmann, W. M., Kinoshita, T., Koukkou, M. et al. (2005). EEG Microstate Duration and Syntax in Acute, Medication-Naïve, First-Episode Schizophrenia: A Multi-Center Study. Psychiatry Research: Neuroimaging, 138, 141-156.[CrossRef] [PubMed]
[24] Lehmann, D., Ozaki, H., & Pal, I. (1987). EEG Alpha Map Series: Brain Micro-States by Space-Oriented Adaptive Segmentation. Electroencephalography and Clinical Neurophysiology, 67, 271-288.[CrossRef] [PubMed]
[25] Lei, L., Liu, Z., Zhang, Y., Guo, M., Liu, P., Hu, X. et al. (2022). EEG Microstates as Markers of Major Depressive Disorder and Predictors of Response to Ssris Therapy. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 116, Article ID: 110514.[CrossRef] [PubMed]
[26] Luo, N., Luo, X., Yao, D., Calhoun, V. D., Sun, L., & Sui, J. (2021). Investigating ADHD Subtypes in Children Using Temporal Dynamics of the Electroencephalogram (EEG) Microstates. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4358-4361). IEEE.[CrossRef] [PubMed]
[27] Luo, Y., Tian, Q., Wang, C., Zhang, K., Wang, C., & Zhang, J. (2020). Biomarkers for Prediction of Schizophrenia: Insights from Resting-State EEG Microstates. IEEE Access, 8, 213078-213093.[CrossRef
[28] Michel, C. M., & Koenig, T. (2018). EEG Microstates as a Tool for Studying the Temporal Dynamics of Whole-Brain Neuronal Networks: A Review. NeuroImage, 180, 577-593.[CrossRef] [PubMed]
[29] Nagabhushan Kalburgi, S., Whitten, A. P., Key, A. P., & Bodfish, J. W. (2020). Children with Autism Produce a Unique Pattern of EEG Microstates during an Eyes Closed Resting-State Condition. Frontiers in Human Neuroscience, 14, Article No. 288.[CrossRef] [PubMed]
[30] Rajkumar, R., Régio Brambilla, C., Veselinović, T., Bierbrier, J., Wyss, C., Ramkiran, S. et al. (2021). Excitatory-Inhibitory Balance within EEG Microstates and Resting-State fMRI Networks: Assessed via Simultaneous Trimodal PET-MR-EEG Imaging. Translational Psychiatry, 11, Article No. 60.[CrossRef] [PubMed]
[31] Rodriguez, A., Tuvemo, T., & Hansson, M. G. (2006). Parents’ Perspectives on Research Involving Children. Upsala Journal of Medical Sciences, 111, 73-86.[CrossRef] [PubMed]
[32] Tarailis, P., Koenig, T., Michel, C. M., & Griškova-Bulanova, I. (2023). The Functional Aspects of Resting EEG Microstates: A Systematic Review. Brain Topography, 37, 181-217.[CrossRef] [PubMed]
[33] Thapar, A., Eyre, O., Patel, V., & Brent, D. (2022). Depression in Young People. The Lancet, 400, 617-631.[CrossRef] [PubMed]
[34] Thirioux, B., Langbour, N., Bokam, P., Wassouf, I., Guillard-Bouhet, N., Wangermez, C. et al. (2023). EEG Microstate Co-Specificity in Schizophrenia and Obsessive-Compulsive Disorder. European Archives of Psychiatry and Clinical Neuroscience, 274, 207-225.[CrossRef] [PubMed]
[35] Tomescu, M. I., Rihs, T. A., Rochas, V., Hardmeier, M., Britz, J., Allali, G. et al. (2018). From Swing to Cane: Sex Differences of EEG Resting-State Temporal Patterns during Maturation and Aging. Developmental Cognitive Neuroscience, 31, 58-66.[CrossRef] [PubMed]
[36] Wang, F., Hujjaree, K., & Wang, X. (2021). Electroencephalographic Microstates in Schizophrenia and Bipolar Disorder. Frontiers in Psychiatry, 12, Article ID: 638722.[CrossRef] [PubMed]
[37] World Health Organization (2022). World Mental Health Report: Transforming Mental Health for All.
https://www.who.int/teams/mental-health-and-substance-use/world-mental-health-report
[38] Yan, D., Liu, J., Liao, M., Liu, B., Wu, S., Li, X. et al. (2021). Prediction of Clinical Outcomes with EEG Microstate in Patients with Major Depressive Disorder. Frontiers in Psychiatry, 12, Article ID: 695272.[CrossRef] [PubMed]
[39] Yuan, H., Zotev, V., Phillips, R., Drevets, W. C., & Bodurka, J. (2012). Spatiotemporal Dynamics of the Brain at Rest—Exploring EEG Microstates as Electrophysiological Signatures of BOLD Resting State Networks. NeuroImage, 60, 2062-2072.[CrossRef] [PubMed]
[40] Zhao, L., Zhou, D., Hu, J., He, X., Peng, X., Ma, L. et al. (2023). Changes in Microstates of First-Episode Untreated Nonsuicidal Self-Injury Adolescents Exposed to Negative Emotional Stimuli and after Receiving rTMS Intervention. Frontiers in Psychiatry, 14, Article ID: 1151114.[CrossRef] [PubMed]
[41] Zhao, Z., Niu, Y., Zhao, X., Zhu, Y., Shao, Z., Wu, X. et al. (2022). EEG Microstate in First-Episode Drug-Naive Adolescents with Depression. Journal of Neural Engineering, 19, Article ID: 056016.[CrossRef] [PubMed]