ArticleThe American journal of clinical nutrition2017
Food portion size and energy density evoke different patterns of brain activation in children.
Article in The American journal of clinical nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07195474 (Effect of Daily Yogurt Smoothies on Neurocognitive Function in Children), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Daily Yogurt Smoothies on Neurocognitive Function in Children
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Social Media and Children's and Adolescents' Diets: A Systematic Review of the Underlying Social and Physiological Mechanisms.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- Increased brain and behavioural susceptibility to portion size in children with loss of control eating.Pediatric obesity · 2019Trial
- Neural responsivity to food cues varies with food fussiness in adolescents.Scientific reports · 2025Article
- Does 'portion size' matter? Brain responses to food and non-food cues presented in varying amounts.Appetite · 2024Article
- The Cerebellar Response to Visual Portion Size Cues Is Associated with the Portion Size Effect in Children.Nutrients · 2024Article
- Neural correlates of appetite in adolescents.Appetite · 2023Article
- Biobehavioral susceptibility for obesity in childhood: Behavioral, genetic and neuroimaging studies of appetite.Physiology & behavior · 2023Review
- Switching between foods: A potential behavioral phenotype of hedonic hunger and increased obesity risk in children.Physiology & behavior · 2023Article
- Ultra-Processed Food, Reward System and Childhood Obesity.Children (Basel, Switzerland) · 2023Review
- Differential neural reward reactivity in response to food advertising medium in children.Frontiers in neuroscience · 2023Article
- Loss of control eating in children is associated with altered cortical and subcortical brain structure.Frontiers in psychology · 2023Article
- Influence of exclusive breastfeeding on hippocampal structure, satiety responsiveness, and weight status.Maternal & child nutrition · 2022Article
- Neural responsiveness to Chinese versus Western food images: An functional magnetic resonance imaging study of Chinese young adults.Frontiers in nutrition · 2022Article
- Brain Responses to High-Calorie Visual Food Cues in Individuals with Normal-Weight or Obesity: An Activation Likelihood Estimation Meta-Analysis.Brain sciences · 2021Review
- New insights into the ontogeny of human vegetable consumption: From developmental brain and cognitive changes to behavior.Developmental cognitive neuroscience · 2020Article
- Neural Mechanisms of Food Decision-Making in Children.Current nutrition reports · 2020Review
- Review
- Is brain response to food rewards related to overeating? A test of the reward surfeit model of overeating in children.Appetite · 2018Article
- Brain response to food cues varying in portion size is associated with individual differences in the portion size effect in children.Appetite · 2018Article
- Dietary energy density: Applying behavioural science to weight management.Nutrition bulletin · 2017Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundLarge portions of food promote intake, but the mechanisms that drive this effect are unclear. Previous neuroimaging studies have identified the brain-reward and decision-making systems that are involved in the response to the energy density (ED) (kilocalories per gram) of foods, but few studies have examined the brain response to the food portion size (PS).
objectiveWe used functional MRI (fMRI) to determine the brain response to food images that differed in PSs (large and small) and ED (high and low).
designBlock-design fMRI was used to assess the blood oxygen level-dependent (BOLD) response to images in 36 children (7-10 y old; girls: 50%), which was tested after a 2-h fast. Pre-fMRI fullness and liking were rated on visual analog scales. A whole-brain cluster-corrected analysis was used to compare BOLD activation for main effects of the PS, ED, and their interaction. Secondary analyses were used to associate BOLD contrast values with appetitive traits and laboratory intake from meals for which the portions of all foods were increased.
resultsCompared with small-PS cues, large-PS cues were associated with decreased activation in the inferior frontal gyrus (P < 0.01). Compared with low-ED cues, high-ED cues were associated with increased activation in multiple regions (e.g., in the caudate, cingulate, and precentral gyrus) and decreased activation in the insula and superior temporal gyrus (P < 0.01 for all). A PS × ED interaction was shown in the superior temporal gyrus (P < 0.01). BOLD contrast values for high-ED cues compared with low-ED cues in the insula, declive, and precentral gyrus were negatively related to appetitive traits (P < 0.05). There were no associations between the brain response to the PS and either appetitive traits or intake.
conclusionsCues regarding food PS may be processed in the lateral prefrontal cortex, which is a region that is implicated in cognitive control, whereas ED activates multiple areas involved in sensory and reward processing. Possible implications include the development of interventions that target decision-making and reward systems differently to moderate overeating.
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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.