ArticleTranslational psychiatry2024
Shared and unique alterations of large-scale network connectivity in drug-free adolescent-onset and adult-onset major depressive disorder.
Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Resting-state functional connectivity of the default mode network as a predictor for escitalopram response in adolescents with depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Distance-related functional connectivity alterations in first-episode, drug-naïve major depressive disorder: a resting-state fMRI study with atlas-based neurotransmitter correlates.BMC psychiatry · 2026Article
- Alpha-band fronto-limbic hyperconnectivity in adolescents with major depression and suicidal ideation.BMC psychiatry · 2026Article
- Disrupted brain network dynamics and cognitive dysfunction in drug-naive major depressive disorder: an EEG microstate study.European archives of psychiatry and clinical neuroscience · 2026Article
- Progressing from Simple to Multidimensional Models Towards a Biopsychosocial Framework of Addiction.Current addiction reports · 2026Review
- EEG microstate and functional connectivity analyses for differentiating suicide attempt from suicidal ideation in major depressive disorder.Journal of psychiatry & neuroscience : JPN · 2025Article
- Review
- 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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Authors and funding
11 authors.
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Abstract
Differences in clinical manifestations and biological underpinnings between Major Depressive Disorder (MDD) onset during adolescence and adulthood have been posited in previous studies, implying an influential role of age of onset (AOO) in the clinical subtyping and therapeutic approaches to MDD. However, direct comparisons between the two cohorts and their age-matched controls have been lacking in extant investigations. In this investigation, 156 volunteers participated, comprising 46 adolescents with MDD (adolescent-onset group), 35 adults with MDD (adult-onset group), 19 healthy adolescents, and 56 healthy adults. Resting-state functional MRI scans were undergone by all participants. Large-scale network analyses were applied. Subsequently, a 2 × 2 ANOVA was employed to analyze the main effects of diagnosis, age, and their interaction effect on functional connectivity (FC). Furthermore, regression analysis was employed to scrutinize the association between anomalous FC and HAMD sub-scores. Increased FC in visual network (VN), limbic network (LN), VN-dorsal attention network (DAN), VN-LN, and LN-Default Mode (DMN) was found in both adolescent-onset and adult-onset MDD; however, the increased FC in DAN and LN were only found in adult-onset MDD and the decreased FC in DAN was only found in adolescent-onset MDD. Additionally, the relationship between HAMD factor 1 anxiety somatization and altered FC of DAN, VN, and VN-DAN was moderated by AOO. In conclusion, shared and distinctive large-scale network alterations in adolescent-onset and adult-onset MDD patients were suggested by our findings, providing valuable contributions towards refining clinical subtyping and treatment approaches for MDD.
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