ArticleFrontiers in psychiatry2022
Association Between Antidepressant Efficacy and Interactions of Three Core Depression-Related Brain Networks in Major Depressive Disorder.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Age-dependent modulations of hemispheric small-world networks in different eye states: resting-state electroencephalogram research.GeroScience · 2026Article
- Brain network dysfunction and treatment-induced network reorganization in major depressive disorder.Brain imaging and behavior · 2026Article
- Large-scale neural network correlates of response inhibition associated with antidepressant response in major depressive disorder.BMC psychiatry · 2025Article
- [Research progress on the characteristics of magnetoencephalography signals in depression].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Review
- Effect of duloxetine on changes in serum proinflammatory cytokine levels in patients with major depressive disorder.BMC psychiatry · 2024Article
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Authors and funding
6 authors.
Funding
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Abstract
Background: The central executive network (CEN), salience network (SN), and default mode network (DMN) are the three most studied depression-related brain networks. Many studies have shown that they are related to depression symptoms and treatment effects. However, few studies have related these three networks and their activity frequency bands to depressive symptoms and treatment efficacy. Methods: Sixty-six medication-free patients with major depressive disorder (MDD) were enrolled. Magnetoencephalography (MEG) was administered at baseline to calculate imaging indicators such as the power and functional connectivity (FC) of each brain network. The Hamilton Rating Score for Depression (HRSD-17) was assessed at baseline and weekly for 4 weeks. Pearson correlation and receiver operating characteristic curves (ROC) analyses were used to explore the relationship between brain imaging indicators and antidepressant efficacy. Results: The difference between therapeutically effective and ineffective groups was mainly manifested in the beta power of the SN. The FC of beta waves between the three networks was related to antidepressant efficacy, with ROC analysis results of AUC = 0.794, Limitations: The sample size was small and a healthy control group was not available. Conclusions: The interaction between the three networks is related to antidepressant efficacy and the relief of depressive symptoms.
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