ArticleNeuroImage2019
Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 4 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
97 citing papers in PubMed, 4 syntheses or guidelines pooled it, 256 citations in OpenAlex.
- A meta-analysis of technology use and cognitive aging.Nature human behaviour · 2025Pooled it
- The associations between screen time and mental health in adolescents: a systematic review.BMC psychology · 2023Pooled it
- Is the US Gender Gap in Depression Changing Over Time? A Meta-Regression.American journal of epidemiology · 2021Pooled it
- Social Media Usage and Development of Psychiatric Disorders in Childhood and Adolescence: A Review.Frontiers in psychiatry · 2020Pooled it
- Not All Screen Use is Equal: Shifting the Focus from Screen Time to Problematic Use in Child and Adolescent Well-Being Research.Clinical child and family psychology review · 2026Review
- Parent personality, child temperament, and digital media: Pathways to language development in early childhood.Developmental psychology · 2026Article
- Social media use and early adolescent brain structure: Findings from the Adolescent Brain Cognitive Development (ABCD) Study.NeuroImage · 2026Article
- Physical-Digital and social-nonsocial extracurricular engagement: differential effects on brain development and psychological outcomes in children.Translational psychiatry · 2026Article
- Solitary Screen Time Exacerbates Later Socioemotional Problems in Young Children with Oral Language Difficulties.Research on child and adolescent psychopathology · 2026Article
- Neighborhood Quality and Screen Use: Findings From the Adolescent Brain Cognitive Development Study.Academic pediatrics · 2026Article
- Article
- Cannabis expectancies mediate the association between social media use and cannabis experimentation in early adolescents: A prospective cohort study.Drug and alcohol dependence · 2025Article
- Article
- The relationship between screen time and anxiety/depression symptoms in preschool children with autism spectrum disorder: the mediating role of cortical volume.BMC pediatrics · 2025Observational
- Impact of Screen Time on Development of Children.Children (Basel, Switzerland) · 2025Review
- Article
- Screen time and manic symptoms in early adolescents: prospective findings from the Adolescent Brain Cognitive Development Study.Social psychiatry and psychiatric epidemiology · 2025Article
- Examining measurement discrepancies in adolescent screen media activity with insights from the ABCD study.Npj mental health research · 2025Article
- Recurrence of internet gaming disorder in Korean adolescents: a 24-month follow-up study.European child & adolescent psychiatry · 2025Article
- Air Pollution Exposure, Prefrontal Connectivity, and Emotional Behavior in Early Adolescence.Research report (Health Effects Institute) · 2025Article
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
The adolescent brain undergoes profound structural changes which is influenced by many factors. Screen media activity (SMA; e.g., watching television or videos, playing video games, or using social media) is a common recreational activity in children and adolescents; however, its effect on brain structure is not well understood. A multivariate approach with the first cross-sectional data release from the Adolescent Brain Cognitive Development (ABCD) study was used to test the maturational coupling hypothesis, i.e. the notion that coordinated patterns of structural change related to specific behaviors. Moreover, the utility of this approach was tested by determining the association between these structural correlation networks and psychopathology or cognition. ABCD participants with usable structural imaging and SMA data (N = 4277 of 4524) were subjected to a Group Factor Analysis (GFA) to identify latent variables that relate SMA to cortical thickness, sulcal depth, and gray matter volume. Subject scores from these latent variables were used in generalized linear mixed-effect models to investigate associations between SMA and internalizing and externalizing psychopathology, as well as fluid and crystalized intelligence. Four SMA-related GFAs explained 37% of the variance between SMA and structural brain indices. SMA-related GFAs correlated with brain areas that support homologous functions. Some but not all SMA-related factors corresponded with higher externalizing (Cohen's d effect size (ES) 0.06-0.1) but not internalizing psychopathology and lower crystalized (ES: 0.08-0.1) and fluid intelligence (ES: 0.04-0.09). Taken together, these findings support the notion of SMA related maturational coupling or structural correlation networks in the brain and provides evidence that individual differences of these networks have mixed consequences for psychopathology and cognitive performance.
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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.