ArticleBrain and behavior2025
Disorganization of Small-World Functional Brain Networks in First-Episode, Treatment-Naïve Adolescents With Major Depressive Disorder.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Altered resting-state prefrontal activity and network topology in adolescents with depression: an fNIRS study.Frontiers in psychiatry · 2026Article
- Resting-state fMRI graph theory analysis for predicting selective serotonin reuptake inhibitors treatment response in adolescent major depressive disorder.Frontiers in psychiatry · 2025Article
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9 authors.
Funding
Abstract
BACKGROUND AND
aimsAdolescent major depressive disorder (MDD) is prevalent globally but often goes unnoticed due to differences in symptoms compared to adult criteria. Analyzing the brain from a network perspective provides new insights into higher-level brain functions and its pathophysiology. This study aimed to investigate changes in the topological organization of functional networks in adolescents with first-episode, treatment-naïve MDD.
methodThe study included 23 adolescents with depression and 27 matched healthy controls (HCs). Resting-state functional MRI (rs-fMRI) was conducted, and whole-brain functional networks were constructed. Graph theory analysis was used to evaluate network topological properties. A machine-learning multivariate diagnostic model was developed using network metrics associated with depression severity.
resultsBoth the MDD and HC groups displayed small-world topology, with male MDD patients showing reduced global clustering efficiency (Cp). The nodal Cp (NCp) and local efficiency (NLE) in the bilateral pallidum were significantly positively correlated with depression severity. In contrast, nodal efficiency (NE) in the left medial orbital superior frontal gyri (ORBsupmed) showed a negative correlation with disease severity. A machine-learning multivariate model using regional network topological features produced an AUROC of 0.71 (95% CI: 0.54-0.92) and an F1 score of 0.65, successfully differentiating adolescent MDD from HCs.
conclusionOur findings suggest disruptions in small-world topology in both global and local brain networks in adolescent depression. These abnormal nodal properties may serve as novel neural markers of the disorder.
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