ArticleDevelopmental cognitive neuroscience2021
Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®.
Article in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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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
35 citing papers in PubMed.
- Weight gain and brain development in the ABCD study cohort: A decade of insight and the road ahead.Developmental cognitive neuroscience · 2026Review
- Nonlinear associations between body mass index and brain microstructure across adolescence in the ABCD Study.bioRxiv : the preprint server for biology · 2026Article
- Associations of Maternal Pre-Pregnancy BMI With Frontostriatal Connectivity in Young Children.Pediatric obesity · 2026Article
- Machine learning algorithm reveals neurodevelopmental signatures of combined family income and neighborhood disadvantage in adolescents.Scientific reports · 2026Article
- Predicting sugar-sweetened beverage intake from the brain and known risk factors in adolescents.Physiology & behavior · 2025Article
- Missing data approaches for longitudinal neuroimaging research: Examples from the Adolescent Brain and Cognitive Development (ABCD) Study®.Developmental cognitive neuroscience · 2025Review
- Smaller Subcortical Volume in Reward Processing Regions Precedes Weight Gain in Youth With High Financial Adversity: Findings From the Adolescent Brain Cognitive Development Study.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025Article
- Distinct Patterns of Weight Gain, Age, and Subcortical Microstructure in Early Adolescence.JAMA network open · 2025Observational
- Diffusion MRI in 2-Month-Old Mouse Brain Predicts Alzheimer's Pathology Genotype.NMR in biomedicine · 2025Article
- Delay discounting and nucleus accumbens functional connectivity are related to weight status in adolescents from the ABCD study.Pediatric obesity · 2025Article
- Brain network fingerprints of Alzheimer's disease risk factors in mouse models with humanized APOE alleles.Magnetic resonance imaging · 2024Article
- Cortical thickness and childhood eating behaviors: differences according to sex and age, and relevance for eating disorders.Eating and weight disorders : EWD · 2024Article
- Childhood obesity's effect on cognition and brain connectivity worsens with low family income.JCI insight · 2024Article
- Smaller subcortical volume relates to greater weight gain in girls with initially healthy weight.Obesity (Silver Spring, Md.) · 2024Article
- APOE, Immune Factors, Sex, and Diet Interact to Shape Brain Networks in Mouse Models of Aging.bioRxiv : the preprint server for biology · 2024Article
- Neural correlates of obesity across the lifespan.Communications biology · 2024Article
- Limitations of BMI z scores for assessing weight change: A clinical tool versus individual risk.Obesity (Silver Spring, Md.) · 2024Article
- Relating neighborhood deprivation to childhood obesity in the ABCD study: Evidence for theories of neuroinflammation and neuronal stress.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023Article
- Longitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023Article
- Neuroanatomical profile of BMI implicates impulsive delay discounting and general cognitive ability.Obesity (Silver Spring, Md.) · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Multimodal neuroimaging assessments were utilized to identify generalizable brain correlates of current body mass index (BMI) and predictors of pathological weight gain (i.e., beyond normative development) one year later. Multimodal data from children enrolled in the Adolescent Brain Cognitive Development Study® at 9-to-10-years-old, consisted of structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), resting state (rs), and three task-based functional (f) MRI scans assessing reward processing, inhibitory control, and working memory. Cross-validated elastic-net regression revealed widespread structural associations with BMI (e.g., cortical thickness, surface area, subcortical volume, and DTI), which explained 35% of the variance in the training set and generalized well to the test set (R
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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.