ArticleInternational journal of environmental research and public health2022
Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Abnormal Dynamic Functional Connectivity Within the Fronto-Limbic Network Mediates the Association Between Depressive Symptoms and Non-Suicidal Self-Injury in Adolescents.CNS neuroscience & therapeutics · 2026Article
- Neuroticism heterogeneity through item-level associations in resting-state functional connectivity.Communications biology · 2025Article
- Review
- Cortical morphometric inverse divergence alterations in first-episode, treatment-naïve COVID-19 secondary depression correlate with transcriptional signatures.BMC psychiatry · 2025Article
- Unraveling Hierarchical Brain Dysfunction in Major Depressive Disorder: A Multimodal Imaging and Transcriptomic Approach.Human brain mapping · 2025Article
- Underexplored Connections Between Diabetes, Hypomanic States and Insecure Attachment.Psychology research and behavior management · 2025Review
- Article
- Article
- Analysis of Publication Activity and Research Trends in the Field of AI Medical Applications: Network Approach.International journal of environmental research and public health · 2023Article
- Editorial: Insights in: Psychopathology research.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThis study aims to develop new approaches to characterize brain networks to potentially contribute to a better understanding of mechanisms involved in depression. METHOD AND SUBJECTS: We recruited 90 subjects: 49 healthy controls (HC) and 41 patients with a major depressive episode (MDE). All subjects underwent clinical evaluation and functional resting-state MRI. The data were processed investigating functional connectivity network measures across the two groups using Brain Connectivity Toolbox. The statistical inferences were developed at a functional network level, using a false discovery rate method. Linear discriminant analysis was used to differentiate between the two groups. RESULTS AND DISCUSSION: Significant differences in functional connectivity (FC) between depressed patients vs. healthy controls was demonstrated, with brain regions including the lingual gyrus, cerebellum, midcingulate cortex and thalamus more prominent in healthy subjects as compared to depression where the orbitofrontal cortex emerged as a key node. Linear discriminant analysis demonstrated that full-connectivity matrices were the most precise in differentiating between depression vs. health subjects.
conclusionThe study provides supportive evidence for impaired functional connectivity networks in MDE patients.
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Registered trials
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