ArticleNeuroImage2017
Neural correlates of familial obesity risk and overweight in adolescence.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Brain structural and functional changes in childhood and adolescent obesity: a systematic review of MRI studies.Frontiers in human neuroscience · 2026Pooled it
- Weight gain is associated with changes in neural response to palatable food tastes varying in sugar and fat and palatable food images: a repeated-measures fMRI study.The American journal of clinical nutrition · 2019Trial
- Altered effective connectivity between the prefrontal cortex and caudate in children with overweight and obesity.International journal of obesity (2005) · 2026Article
- Associations of Maternal Pre-Pregnancy BMI With Frontostriatal Connectivity in Young Children.Pediatric obesity · 2026Article
- Obesity and Insulin Resistance Alter Neural Processing of Unpleasant, but Not Pleasant, Visual Stimuli in Young Adults.Brain sciences · 2025Article
- Structural and Functional Brain Changes in Children and Adolescents With Obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Neural correlates of inhibitory control during a simple food go/no-go task in adolescents varying in familial obesity risk.NeuroImage · 2025Article
- Altered brain function and structure in youth-onset type 2 diabetes.European journal of endocrinology · 2025Article
- Exposure to gestational diabetes mellitus in utero impacts hippocampal functional connectivity in response to food cues in children.International journal of obesity (2005) · 2024Article
- GABA (gamma-aminobutyric acid) levels in dorsal anterior cingulate cortex are negatively associated with food motivation in a pediatric sample.Scientific reports · 2024Article
- Does 'portion size' matter? Brain responses to food and non-food cues presented in varying amounts.Appetite · 2024Article
- Exposure to gestational diabetes mellitus in utero impacts hippocampal functional connectivity in response to food cues in children.Research square · 2024Article
- Obesity is associated with alterations in anatomical connectivity of frontal-corpus callosum.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Children at high familial risk for obesity show executive functioning deficits prior to development of excess weight status.Obesity (Silver Spring, Md.) · 2023Article
- Neural correlates of appetite in adolescents.Appetite · 2023Article
- Biobehavioral susceptibility for obesity in childhood: Behavioral, genetic and neuroimaging studies of appetite.Physiology & behavior · 2023Review
- Higher body weight-dependent neural activation during reward processing.Brain imaging and behavior · 2023Article
- Paediatric obesity and metabolic syndrome associations with cognition and the brain in youth: Current evidence and future directions.Pediatric obesity · 2023Review
- Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions.Molecular psychiatry · 2023Review
- Fetal programming of human energy homeostasis brain networks: Issues and considerations.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022Review
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundRates of adolescent obesity and overweight are high. The offspring of overweight parents are at increased risk of becoming obese later in life. Investigating neural correlates of familial obesity risk and current overweight status in adolescence could help identify biomarkers that predict future obesity and that may serve as novel targets for obesity interventions.
objectiveOur primary aim was to use functional MRI to compare neural responses to words denoting high or low energy density (ED) foods and non-foods, in currently lean adolescents at higher compared with lower familial risk for obesity, and in overweight compared with lean adolescents. Secondary aims were to assess group differences in subjective appetite when viewing food and non-food words, and in objective ad libitum intake of high-ED foods in a laboratory setting.
designWe recruited 36 adolescents (14-19y), of whom 10 were (obese/overweight "overweight"), 16 lean with obese/overweight mothers (lean high-risk, "lean-HR"), and 10 lean with lean mothers (lean low-risk, "lean-LR"). All underwent fMRI scanning while they viewed words representing high-ED foods, low-ED foods, or non-foods, and provided appetitive ratings in response to each word stimulus. They then consumed a multi-item ad libitum buffet meal.
resultsFood compared with non-food words activated a distributed emotion/reward system including insula and pregenual anterior cingulate cortex (ACC). Participants who were at increasing risk for obesity exhibited progressively weaker activation of an attentional/regulatory system including dorsolateral prefrontal cortex (PFC), dorsal ACC, and basal ganglia nuclei (activation was greatest in lean-LR, intermediate in lean-HR, and weakest in the overweight group). These group differences were most apparent for neural responses to high-compared with low-ED foods. Lean-HR (compared with lean-LR and overweight) adolescents reported greater desire for high-ED foods. Meal intake was greatest for the overweight, then lean-HR, then lean-LR groups.
conclusionsAdolescents at higher obesity risk exhibited reduced neural responses to high-ED food cues in a neural system that subserves attention and self-regulation. They also reported heightened appetitive responses to high-ED cues. Interventions that promote the capacity for self-regulation could prevent youth who have a familial predisposition for obesity from translating risk into reality.
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Registered trials
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.