ArticleMolecular psychiatry2021
Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of prenatal tobacco exposure on brain structure and function in offspring: a systematic review and meta-analysis of MRI findings.Neuroradiology · 2025Pooled it
- Multivariate brain-behaviour associations in psychiatric disorders.Translational psychiatry · 2024Pooled it
- Effects of adverse childhood experiences on behavior in adolescence: Insights from brain imaging and genetic risk.Developmental cognitive neuroscience · 2026Article
- Domain-general and language-specific brain networks are differentially associated with verbal intelligence during development.iScience · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
- Aberrant multivariate mapping between behavioral profiles and cortical morphological brain networks in children with autism spectrum disorder.Translational psychiatry · 2026Article
- Utilizing multimodal cortical parcellations to identify novel regions of the human cerebral cortex associated with substance use disorders.Molecular psychiatry · 2026Article
- Subtypes of adolescent major depressive disorder characterized by divergent information dynamics in sensory-association cortices.Nature communications · 2026Article
- Using multimodal cortical parcellations to identify novel regions of the human cerebral cortex associated with cognitive performance.Translational psychiatry · 2026Article
- Independent brain cortical signatures of risk for adolescent cannabis use and consequences of such use are moderated by sex.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Cortical Structure in Nodes of the Default Mode Network Estimates General Intelligence.Brain and behavior · 2025Article
- Dev-Atlas: A reference atlas of functional brain networks for typically developing adolescents.Developmental cognitive neuroscience · 2025Article
- Environmentally derived subgroups of preadolescents with family history of substance use exhibit distinct patterns of psychopathology and reward-related behaviors: insights from the ABCD study.Frontiers in child and adolescent psychiatry · 2025Article
- Prenatal Tobacco Exposure, Brain Subcortical Volumes, and Gray-White Matter Contrast.JAMA network open · 2024Article
- Linked patterns of symptoms and cognitive covariation with functional brain controllability in major depressive disorder.EBioMedicine · 2024Article
- Multivariate associations between neuroanatomy and cognition in unmedicated and medicated individuals with schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- A Shared Multivariate Brain-Behavior Relationship in a Transdiagnostic Sample of Adolescents.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Neural correlates of negative life events and their relationships with alcohol and cannabis use initiation.Dialogues in clinical neuroscience · 2023Article
- Covariation of preadult environmental exposures, adult brain imaging phenotypes, and adult personality traits.Molecular psychiatry · 2023Article
- Effects of urban living environments on mental health in adults.Nature medicine · 2023Article
Corrections and comments
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Authors and funding
37 authors.
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Abstract
Adolescence is a period of major brain reorganization shaped by biologically timed and by environmental factors. We sought to discover linked patterns of covariation between brain structural development and a wide array of these factors by leveraging data from the IMAGEN study, a longitudinal population-based cohort of adolescents. Brain structural measures and a comprehensive array of non-imaging features (relating to demographic, anthropometric, and psychosocial characteristics) were available on 1476 IMAGEN participants aged 14 years and from a subsample reassessed at age 19 years (n = 714). We applied sparse canonical correlation analyses (sCCA) to the cross-sectional and longitudinal data to extract modes with maximum covariation between neuroimaging and non-imaging measures. Separate sCCAs for cortical thickness, cortical surface area and subcortical volumes confirmed that each imaging phenotype was correlated with non-imaging features (sCCA r range: 0.30-0.65, all P
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.