The application of electroencephalography in the prediction of efficacy and therapeutic mechanism of anxiety disorders
DOI:
English keywords:anxiety disorder  electroencephalogram  efficacy  prediction
Fund projects:科技创新2030-“脑科学与类脑研究”重大项目(2021ZD0202004)
Author NameAffiliationAddress
Yuan Danfeng Beijing Anding Hospital, Capital Medical University 北京市西城区安康胡同5号
Yang Xiangyun Beijing Anding Hospital, Capital Medical University 
Li Zhanjiang Beijing Anding Hospital, Capital Medical University 北京市西城区安康胡同5号
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English abstract:
      Anxiety disorders are the most common mental diseases with high prevalence and recurrence rate. Selective Serotonin Reuptake Inhibitors (SSRIs) and cognitive behavioral therapy (CBT) are the two first-line treatments for anxiety disorders. However, many patients failed to response to the first-line treatments, and the neurobiological mechanisms underlying the therapeutic effects and independent predictors of treatment response are unknown. Previous studies reported some EEG changes after treatment for anxiety disorders, and baseline EEG were correlated with treatment response, suggesting the predictive role of EEG in the treatment of anxiety disorders. To provide electrophysiological evidence for individual treatment decision of anxiety disorders by systematically reviewing the studies on predictors and neural mechanisms for the successful treatment of anxiety, five electronic databases (PubMed, Embase, Web of Science databases, China National Knowledge Infrastructure [CNKI], and Wanfang Database [WF]) were searched up to March 2023. The search yielded 1528 records, and only 15 literatures were finally included. Results of prediction studies suggested an increased LPP at baseline may be associated with greater reduction in anxiety symptoms during SSRIs or CBT. Longitudinal study results showed that ERN and P1 amplitude did not change significantly pre-to-post-CBT, suggesting that CBT may not reduce anxiety symptoms through improving attention bias and behavioral monitoring. Limited evidence suggested that EEG components associated with emotional processing might be predictors of treatment outcomes for anxiety disorders. High level of response to emotional stimuli at baseline may predict greater clinical benefit to patients with anxiety disorders. Due to the small sample size and the considerable heterogeneity in methodological approaches, no reliable conclusions can be drawn at present and more prospective studies with large samples are needed.
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