Evidence map›Paper›PMID 27881393›Full record

ArticleThe American journal of clinical nutrition2017

Food portion size and energy density evoke different patterns of brain activation in children.

Laural K English, S Nicole Fearnbach, Stephen J Wilson, Jennifer O Fisher, Jennifer S Savage, Barbara J Rolls, Kathleen L Keller

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT07195474 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Daily Yogurt Smoothies on Neurocognitive Function in Children

TypeinterventionalSponsorPenn State UniversityRan2026 to 2028Enrolled60ConditionsExecutive Functions (EF), Microbiome, Dietary QualityArmsYogurt Smoothie (1 per day), Yogurt Smoothie (2 per day), Fruit Juice Control
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Laural K EnglishDepartments of Nutritional Science.ORCID 0000-0002-7944-5787
S Nicole FearnbachDepartments of Nutritional Science.
Stephen J WilsonPsychology, and.
Jennifer O FisherDepartment of Social and Behavioral Sciences, Temple University, Philadelphia, PA.
Jennifer S SavageDepartments of Nutritional Science.
Barbara J RollsDepartments of Nutritional Science.
Kathleen L KellerDepartments of Nutritional Science, klk37@psu.edu.
Park University · USPennsylvania State University · USTemple University · US

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Sujoy Ghosh · 2005 to 2026
$26.5M
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014NIDDK NIH HHS P30 DK072476
6 · The paper itself

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.

Indexed as

Energy IntakePortion SizeAdiposityBody Mass IndexBrainChildChild BehaviorCluster AnalysisFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeuroimagingenergy densityneuroimagingobesitypediatricportion size

Identifiers

PMID27881393
PMCPMC5267299
OpenAlexW2553068051

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.