Evidence map›Paper›PMID 38274697›Full record

ArticleFrontiers in psychology2023

Loss of control eating in children is associated with altered cortical and subcortical brain structure.

Alaina L Pearce, Bari Fuchs, Shana Adise, Travis D Masterson, Nicole Fearnbach, Laural English, Kathleen L Keller

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 13% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Alaina L PearceDepartment of Nutritional Science, The Pennsylvania State University, University Park, PA, United States.
Bari FuchsDepartment of Nutritional Science, The Pennsylvania State University, University Park, PA, United States.
Shana AdiseDivision of Endocrinology, Diabetes, and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Travis D MastersonDepartment of Nutritional Science, The Pennsylvania State University, University Park, PA, United States.
Nicole FearnbachDepartment of Health and Life Sciences, Florida State University, Tallahassee, FL, United States.
Laural EnglishUnited States Department of Agriculture, Washington, DC, United States.
Kathleen L KellerDepartment of Nutritional Science, The Pennsylvania State University, University Park, PA, United States.
Pennsylvania State University · USChildren's Hospital of Los Angeles · USFlorida State University · USUnited States Department of Agriculture · 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
Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
Penn State Institutional Career Development CoreKL2TR002015 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI VAN SCOY, LAUREN JODI · 2016 to 2025
$7.8M
Brain Mechanisms of Overeating in ChildrenR01DK110060 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI KELLER, KATHLEEN L · 2017 to 2021
$2.4M
Characterizing resilience to food-cue induced overeating in childrenR01DK126050 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI KELLER, KATHLEEN L · 2021 to 2024
$2.3M
Neurodevelopment of executive function, appetite regulation, and obesity in children and adolescentsK01DK135847 · NIDDK · UNIVERSITY OF GEORGIA · PI Shana Adise · 2023 to 2026
$603k
Determining protective cognitive and eating behavior phenotypes for pediatric obesityF32DK122669 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI PEARCE, ALAINA LUNDBERG · 2019 to 2021
$168k
NCATS NIH HHS KL2 TR002015NCATS NIH HHS UL1 TR000127NCATS NIH HHS UL1 TR002014NIDDK NIH HHS F32 DK122669NIDDK NIH HHS K01 DK135847NIDDK NIH HHS R01 DK110060NIDDK NIH HHS R01 DK126050
6 · The paper itself

Abstract

Introduction: Loss of control (LOC) eating is the perceived inability to control how much is eaten, regardless of actual amount consumed. Childhood LOC-eating is a risk factor for the development of binge-eating disorder (BED), but its neurobiological basis is poorly understood. Studies in children with BED have shown both increased gray matter volume in regions related to top-down cognitive control (e.g., dorsolateral prefrontal cortex) and reward-related decision making (e.g., orbital frontal cortex) relative to healthy controls. However, no studies have examined brain structure in children with LOC-eating. To identify potential neurobiological precursors of BED, we conducted secondary analysis of five studies that conducted T1 MPRAGE scans. Methods: A total of 143, 7-12-year-old children ( Results: Children with LOC, relative to those without, had greater gray matter volume in right orbital frontal cortex but lower gray matter volume in right parahippocampal gyrus, left CA4/dentate gyrus, and left cerebellar lobule VI. While there were no differences in cortical thickness or gyrification, children with LOC-eating had great sulci depth in left anterior cingulate cortex and cuneus and greater cortical complexity in right insular cortex. Discussion: Together, this indicates that children with LOC-eating have structural differences in regions related to cognitive control, reward-related decision-making, and regulation of eating behaviors.

Indexed as

childrengray matter volumeloss of control-eatingMRIsurface morphology

Identifiers

PMID38274697
PMCPMC10808807
OpenAlexW4390745684

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.