Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder

Background: The difficulty in timely evaluating patient response to antidepressants has brought great challenge to the treatment of major depressive disorder (MDD). Some studies found that the electroencephalogram (EEG) microstates might be a reliable marker to evaluate patient response to treatment...

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Main Authors: Danfeng Yan, Jin Liu, Mei Liao, Bangshan Liu, Shibin Wu, Xueqin Li, Haolun Li, Wenwen Ou, Li Zhang, Zexuan Li, Yan Zhang, Lingjiang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.695272/full
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author Danfeng Yan
Danfeng Yan
Danfeng Yan
Jin Liu
Jin Liu
Mei Liao
Mei Liao
Bangshan Liu
Bangshan Liu
Shibin Wu
Xueqin Li
Xueqin Li
Haolun Li
Haolun Li
Wenwen Ou
Wenwen Ou
Li Zhang
Li Zhang
Zexuan Li
Zexuan Li
Yan Zhang
Yan Zhang
Lingjiang Li
Lingjiang Li
spellingShingle Danfeng Yan
Danfeng Yan
Danfeng Yan
Jin Liu
Jin Liu
Mei Liao
Mei Liao
Bangshan Liu
Bangshan Liu
Shibin Wu
Xueqin Li
Xueqin Li
Haolun Li
Haolun Li
Wenwen Ou
Wenwen Ou
Li Zhang
Li Zhang
Zexuan Li
Zexuan Li
Yan Zhang
Yan Zhang
Lingjiang Li
Lingjiang Li
Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder
Frontiers in Psychiatry
major depressive disorders
drug-naïve patient
electroencephalogram
EEG microstate
first-episode depression
author_facet Danfeng Yan
Danfeng Yan
Danfeng Yan
Jin Liu
Jin Liu
Mei Liao
Mei Liao
Bangshan Liu
Bangshan Liu
Shibin Wu
Xueqin Li
Xueqin Li
Haolun Li
Haolun Li
Wenwen Ou
Wenwen Ou
Li Zhang
Li Zhang
Zexuan Li
Zexuan Li
Yan Zhang
Yan Zhang
Lingjiang Li
Lingjiang Li
author_sort Danfeng Yan
title Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder
title_short Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder
title_full Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder
title_fullStr Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder
title_full_unstemmed Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive Disorder
title_sort prediction of clinical outcomes with eeg microstate in patients with major depressive disorder
publisher Frontiers Media S.A.
series Frontiers in Psychiatry
issn 1664-0640
publishDate 2021-08-01
description Background: The difficulty in timely evaluating patient response to antidepressants has brought great challenge to the treatment of major depressive disorder (MDD). Some studies found that the electroencephalogram (EEG) microstates might be a reliable marker to evaluate patient response to treatment. The present study aims to evaluate the relationship between EEG microstate parameters and MDD symptoms before and after treatment to identify predictive biological markers for patient response.Methods: Thirty drug-naïve MDD patients (20 females and 10 males) were enrolled in this study. All the patients received effective dosages of selective serotonin reuptake inhibitors, and EEG recordings were collected at baseline and 2 weeks of treatment. Brain activities during the eyes-closed state were recorded using 64-channel electroencephalography, and the patients' microstates were clustered into four maps according to their topography (labeled A, B, C, and D). The differences of EEG microstates before and after treatment were compared using paired t-test. Spearman correlation coefficients were calculated to identify the relationships between the improvement of depression and anxiety symptoms and microstate parameters.Results: The mean duration (69.67 ± 10.33 vs. 64.00 ± 7.70, p < 0.001) and occurrence (4.06 ± 0.69, vs. 3.69 ± 0.70, p = 0.002) of microstate B decreased significantly after treatment. The proportion of microstate B also decreased (27.53 ± 5.81, vs. 23.23 ± 4.61, p < 0.001), while the occurrence of microstate A increased after treatment. A significant negative correlation was found between the change of score of Hamilton Rating Scale for Anxiety and the increase of the occurrence of microstate A (r = −0.431, p < 0.05) after 2 weeks of treatment. The reduction of the duration of microstate B was found to be predictive of patient response to antidepressants after 3 months.Conclusion: This study explored the relationship between changes of EEG microstates and patient response to antidepressants. Depression symptoms might be associated with the duration of microstate B and anxiety symptoms related to the occurrence of microstate A. Therefore, the duration of microstate B and the occurrence of microstate A are potential biological markers for MDD patients' early response and further clinical outcomes.
topic major depressive disorders
drug-naïve patient
electroencephalogram
EEG microstate
first-episode depression
url https://www.frontiersin.org/articles/10.3389/fpsyt.2021.695272/full
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spelling doaj-a308f1e67f0d4c1cb81862aea4dd89f22021-08-16T07:22:36ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-08-011210.3389/fpsyt.2021.695272695272Prediction of Clinical Outcomes With EEG Microstate in Patients With Major Depressive DisorderDanfeng Yan0Danfeng Yan1Danfeng Yan2Jin Liu3Jin Liu4Mei Liao5Mei Liao6Bangshan Liu7Bangshan Liu8Shibin Wu9Xueqin Li10Xueqin Li11Haolun Li12Haolun Li13Wenwen Ou14Wenwen Ou15Li Zhang16Li Zhang17Zexuan Li18Zexuan Li19Yan Zhang20Yan Zhang21Lingjiang Li22Lingjiang Li23National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaShanxi Mental Health Center, Taiyuan, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaDepartment of Psychiatry, Nanning Fifth People's Hospital, Nanning, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaNational Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, ChinaHunan Key Laboratory of Psychiatry and Mental Health, Institute of Mental Health, Hunan Medical Center of Mental Health, China National Technology Institute on Mental Disorders, Changsha, ChinaBackground: The difficulty in timely evaluating patient response to antidepressants has brought great challenge to the treatment of major depressive disorder (MDD). Some studies found that the electroencephalogram (EEG) microstates might be a reliable marker to evaluate patient response to treatment. The present study aims to evaluate the relationship between EEG microstate parameters and MDD symptoms before and after treatment to identify predictive biological markers for patient response.Methods: Thirty drug-naïve MDD patients (20 females and 10 males) were enrolled in this study. All the patients received effective dosages of selective serotonin reuptake inhibitors, and EEG recordings were collected at baseline and 2 weeks of treatment. Brain activities during the eyes-closed state were recorded using 64-channel electroencephalography, and the patients' microstates were clustered into four maps according to their topography (labeled A, B, C, and D). The differences of EEG microstates before and after treatment were compared using paired t-test. Spearman correlation coefficients were calculated to identify the relationships between the improvement of depression and anxiety symptoms and microstate parameters.Results: The mean duration (69.67 ± 10.33 vs. 64.00 ± 7.70, p < 0.001) and occurrence (4.06 ± 0.69, vs. 3.69 ± 0.70, p = 0.002) of microstate B decreased significantly after treatment. The proportion of microstate B also decreased (27.53 ± 5.81, vs. 23.23 ± 4.61, p < 0.001), while the occurrence of microstate A increased after treatment. A significant negative correlation was found between the change of score of Hamilton Rating Scale for Anxiety and the increase of the occurrence of microstate A (r = −0.431, p < 0.05) after 2 weeks of treatment. The reduction of the duration of microstate B was found to be predictive of patient response to antidepressants after 3 months.Conclusion: This study explored the relationship between changes of EEG microstates and patient response to antidepressants. Depression symptoms might be associated with the duration of microstate B and anxiety symptoms related to the occurrence of microstate A. Therefore, the duration of microstate B and the occurrence of microstate A are potential biological markers for MDD patients' early response and further clinical outcomes.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.695272/fullmajor depressive disordersdrug-naïve patientelectroencephalogramEEG microstatefirst-episode depression