ArticleImaging neuroscience (Cambridge, Mass.)2025
Brain functional connectivity predicts depression and anxiety during childhood and adolescence: A connectome-based predictive modeling approach.
Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The role of the dorsal attention network in attention bias modification for social anxiety disorder.Translational psychiatry · 2026Trial
- Resting-state functional connectivity and alexithymia: Preliminary predictive evidence.Journal of affective disorders · 2026Article
- Increased beta-band salience network connectivity predicts 12-month longitudinal changes in depressive and anxiety symptom severity in young adults: a resting-state EEG study.European archives of psychiatry and clinical neuroscience · 2026Article
- A canary in the mind: A single baseline brain scan predicts adolescent depression and anxiety one year later.medRxiv : the preprint server for health sciences · 2026Article
- Life experiences of humiliation, entrapment, and frontoparietal-cerebellar connectivity predict adolescent anxiety and depression symptoms.Psychological medicine · 2026Article
- Precision neurodiversity: personalized brain network architecture as a window into cognitive variability.Frontiers in human neuroscience · 2025Review
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14 authors.
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Abstract
Identifying brain-based correlates of risk for future depression and anxiety severity in youth could improve prevention and treatment efforts. We tested whether connectome-based predictive modeling (CPM) based on resting-state functional connectivity (FC) at baseline: (a) predicts future depression and anxiety severity during childhood and (b) generalizes to adolescence. We used two independent, longitudinal datasets including children from the Adolescent Brain Cognitive Development (ABCD) study and adolescents from the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA). ABCD included a cohort of 11,875 children ages 9-11 years old, and BANDA enrolled 215 adolescents ages 14-17 years, of which ~70% reported a depressive or anxiety disorder. CPM with internal (within ABCD) and external validation (from ABCD to BANDA) used baseline whole-brain FC to predict depression and anxiety severity at a 1-year follow-up assessment. ABCD-derived functional connections, which we term "Symptoms Network", were validated within BANDA to test model applicability in adolescence, which is a peak period for the emergence of internalizing disorders. Participants with complete data were included from ABCD (n = 3,718, 52.9% girls, ages 10.0 ± 0.6) and BANDA (n = 150, 61.3% girls, ages 15.4 ± 0.9). In ABCD, we found that FC predicted 1-year follow-up symptoms severity (
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