ArticleJournal of child psychology and psychiatry, and allied disciplines2022
Multi-level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study.
Article in Journal of child psychology and psychiatry, and allied disciplines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- The Dynamic Interplay Between Puberty and Structural Brain Development as a Predictor of Mental Health Difficulties in Adolescence: A Systematic Review.Biological psychiatry · 2024Pooled it
- HARMONY: A large-scale harmonized neuroimaging dataset for research on anxious misery disorders.bioRxiv : the preprint server for biology · 2026Article
- What we have learned about adolescent mental health and where we are going after a decade with the Adolescent Brain Cognitive Development Study.Developmental cognitive neuroscience · 2026Review
- Longitudinal associations between depressive symptoms and brain structure across late childhood and adolescence: A panel network analysis study.medRxiv : the preprint server for health sciences · 2026Article
- Neural and psychosocial signatures of the comorbidity between pain and affective symptoms.Pain reports · 2026Article
- Synchrony between brain age and internalising and externalising symptoms across adolescence.medRxiv : the preprint server for health sciences · 2026Article
- Changes in Rest-Activity Rhythms in Adolescents as They Age: Associations With Brain and Behavioral Changes in the ABCD Study.Journal of the American Academy of Child and Adolescent Psychiatry · 2025Article
- Validation of CBCL depression scores of adolescents in three independent datasets.JCPP advances · 2025Article
- Machine Learning-Based Clinical Prediction Models in Psychopathology: Can Transfer Learning Fix the "Illusory Generalizability" Problem?Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Longitudinal Prediction of Adolescent Depression from Environmental and Polygenic Risk Scores.medRxiv : the preprint server for health sciences · 2025Article
- Predicting the onset of mental health problems in adolescents.Psychological medicine · 2025Article
- Longitudinal associations between family conflict, intergenerational transmission, and adolescents' depressive symptoms: evidence from China Family Panel studies (2016-2020).Child and adolescent psychiatry and mental health · 2025Article
- Leveraging Distributed Brain Signal at Rest to Predict Internalizing Symptoms in Youth: Deriving a Polyneuro Risk Score From the ABCD Study Cohort.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Brain functional connectivity predicts depression and anxiety during childhood and adolescence: A connectome-based predictive modeling approach.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Neuroimaging for precision medicine in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning.Scientific reports · 2024Article
- Changes in rest-activity rhythms in adolescents as they age: associations with brain changes and behavior in the ABCD study.medRxiv : the preprint server for health sciences · 2024Article
- Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample.Network neuroscience (Cambridge, Mass.) · 2024Article
- Predicting new onset thought disorder in early adolescence with optimized deep learning implicates environmental-putamen interactions.medRxiv : the preprint server for health sciences · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundWhile identifying risk factors for adolescent depression is critical for early prevention and intervention, most studies have sought to understand the role of isolated factors rather than across a broad set of factors. Here, we sought to examine multi-level factors that maximize the prediction of depression symptoms in US children participating in the Adolescent Brain and Cognitive Development (ABCD) study.
methodsA total of 7,995 participants from ABCD (version 3.0 release) provided complete data at baseline and 1-year follow-up data. Depression symptoms were measured with the Child Behavior Checklist. Predictive features included child demographic, environmental, and structural and resting-state fMRI variables, parental depression history and demographic characteristics. We used linear (elastic net regression, EN) and non-linear (gradient-boosted trees, GBT) predictive models to identify which set of features maximized prediction of depression symptoms at baseline and, separately, at 1-year follow-up.
resultsBoth linear and non-linear models achieved comparable results for predicting baseline (EN: MAE = 3.757; R
conclusionsConsistent with prior research, parental mental health, family environment, and child sleep quality are important risk factors for youth depression. Functional connectivity of the caudate is a relatively weaker predictor of depression symptoms but may represent a biomarker for depression risk.
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