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

Bibliographic Data

ID15528483
AuthorsDanfeng Yan (0000-0002-1439-2274, Second Xiangya Hospital of Central South University), Jin Liu (0000-0001-5816-2422, Central South University), Mei Liao (0000-0001-9906-3199, Central South University), Bangshan Liu (0000-0002-9355-2183, Second Xiangya Hospital of Central South University), Shibin Wu (0000-0003-3352-2270, First People's Hospital of Nanning), Xueqin Li (0000-0002-1501-4371, Hunan Institute of Mental Health), Haolun Li (0000-0003-3829-2849, Central South University), Wenwen Ou (Second Xiangya Hospital of Central South University), Li Zhang (0000-0002-4441-5131, Second Xiangya Hospital of Central South University), Zexuan Li (0009-0004-7067-6572, Central South University), Yan Zhang (0000-0001-8460-2671, Central South University), Lingjiang Li (0000-0002-8775-7852, Hunan Institute of Mental Health, corresponding author)
Year2021
Volume12
Pages695272-695272
Publication date2021-08-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.695272
PMID34483990
OpenAlexW3196113124
LanguageEN
Citations received1
References cited30

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 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 r = -0.431, p 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

Anxiety · Audiology · Cognition · Correlation · Depression (economics · Electroencephalography · Major depressive disorder · Ministate · Psychiatry · EEG and Brain-Computer Interfaces · Functional Brain Connectivity Studies · Medicine · Neural and Behavioral Psychology Studies · Psychology · Internal Medicine

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Unique citing works1
Citations per year0,2
Citation span2021 - 2021 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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