Evidence map›Paper›PMID 30617787›Full record

ArticleBrain imaging and behavior2020

Subclinical eating disorder traits are correlated with cortical thickness in regions associated with food reward and perception.

Gregory L Wallace, Emily Richard, Cynthia S Peng, Annchen R Knodt, Ahmad R Hariri

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. GDF15 Is Elevated in Eating Disorders and Is Involved in the Gut-Brain Axis via Ghrelin.European eating disorders review : the journal of the Eating Disorders Association · 2026
    Article
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  9. Neuroimaging and eating disorders.Current opinion in psychiatry · 2019
    Review
  10. Review
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

5 authors.

Gregory L WallaceDepartment of Speech, Language, and Hearing Sciences, The George Washington University, Hall of Government Room 211, 2115 G Street NW, Washington, DC, 20052, USA. gwallac1@gwu.edu.ORCID http://orcid.org/0000-0003-0329-5054
Emily RichardDepartment of Speech, Language, and Hearing Sciences, The George Washington University, Hall of Government Room 211, 2115 G Street NW, Washington, DC, 20052, USA.
Cynthia S PengDepartment of Speech, Language, and Hearing Sciences, The George Washington University, Hall of Government Room 211, 2115 G Street NW, Washington, DC, 20052, USA.
Annchen R KnodtLaboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
Ahmad R HaririLaboratory of NeuroGenetics, Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.

Funding

Quantifying Individual Differences in Midlife Structural Brain Integrity Associated with Later AD/ADRD RiskR01AG049789 · NIA · DUKE UNIVERSITY · PI AHMAD R. HARIRI, TERRIE E MOFFITT · 2015 to 2026
$10.6M
Neurogenetic Pathways to Drug Use in Young AdultsR01DA033369 · NIDA · DUKE UNIVERSITY · PI HARIRI, AHMAD R. · 2013 to 2016
$1.4M
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
NIA NIH HHS R01 AG049789NIDA NIH HHS R01 DA033369NIDA NIH HHS R01DA033369NIH HHS S10 OD018164
6 · The paper itself

Abstract

Behavioral traits associated with various forms of psychopathology are conceptualized as dimensional, varying from those present in a frank disorder to subclinical expression. Demonstrating links between these behavioral traits and neurobiological indicators, such as brain structure, provides one form of validation for this view. However, unlike behavioral dimensions associated with other forms of psychopathology (e.g., autism spectrum disorder, attention deficit hyperactivity disorder, antisocial disorders), eating disorder traits have not been investigated in this manner in spite of the potential that such an approach has to elucidate etiological mechanisms. Therefore, we examined for the first time neural endophenotypes of Anorexia Nervosa and Bulimia via dimensional traits (measured using the Eating Disorders Inventory-3) in a large subclinical sample of young adults (n = 456 and n = 247, respectively; ages = 18-22 years) who each provided a structural magnetic resonance imaging scan. Cortical thickness was quantified at 81,924 vertices across the cortical surface. We found: 1) increasing eating disorder traits correlated with thinner cortex in the insula and orbitofrontal cortex, among other regions, and 2) using these regions as seeds, increasing eating disorder trait scores negatively modulated structural covariance between these seed regions and other cortical regions linked to regulatory and sensorimotor functions (e.g., frontal and temporal cortices). These findings parallel those found in the clinical literature (i.e., thinner cortex in these food-related regions in individuals with eating disorders) and therefore provide evidence supporting the dimensional view of behavioral traits associated with eating disorders. Extending this approach to genetic and neuroimaging genetics studies holds promise to inform etiology.

Indexed as

AdolescentAnorexia NervosaBrainBrain Cortical ThicknessBrain MappingBulimiaCerebral CortexFeeding and Eating DisordersFeeding BehaviorFemaleFoodHumansMagnetic Resonance ImagingMaleNeuroimagingPrefrontal CortexAnorexiaBehavioral traitsBrainBulimiaCortical thicknessEating disorder

Identifiers

PMID30617787
PMCPMC6893094

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Registered trials

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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.