Evidence map›Paper›PMID 21718969›Full record

ArticleBiological psychiatry2011

Altered temporal difference learning in bulimia nervosa.

Guido K W Frank, Jeremy R Reynolds, Megan E Shott, Randall C O'Reilly

Open access · greenAbstract readComparative Study
In one paragraph

Article in Biological psychiatry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 3 pooled it
9.4field-weighted citation impact, top 2% 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

81 citing papers in PubMed, 3 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Altered amygdala and striatal responsivity and prediction error encoding of temporal reward dynamics in post-trauma psychopathology.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Addressing Altered Anticipation as a Transdiagnostic Target Through Computational Psychiatry.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Review
  13. Perceptual Dysfunction in Eating Disorders.Current topics in behavioral neurosciences · 2025
    Review
  14. Article
  15. Back to the future: Progressing memory research in eating disorders.The International journal of eating disorders · 2023
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Guido K W FrankDepartment of Psychiatry, University of Colorado Denver, The Children's Hospital, Aurora, Colorado; Department of Neuroscience, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado. Electronic address: Guido.Frank@ucdenver.edu.
Jeremy R ReynoldsDepartment of Psychology, University of Denver, Denver, Colorado.
Megan E ShottDepartment of Psychiatry, University of Colorado Denver, The Children's Hospital, Aurora, Colorado.
Randall C O'ReillyDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colorado.
University of Colorado Denver · USUniversity of Colorado Boulder · USUniversity of Denver · US

Funding

Proj 5: Early Development (224-250)P50MH079485 · NIMH · UNIVERSITY OF COLORADO · PI HEWITT, JOHN K. · 2008 to 2012
$8.7M
Brain Reward-Pathway Function and Neurocomputational Modeling in Anorexia NervosaK23MH080135 · NIMH · UNIVERSITY OF COLORADO DENVER · PI FRANK, GUIDO KW · 2008 to 2012
$840k
NIMH NIH HHS 1-P50-MH079485NIMH NIH HHS K23 MH080135NIMH NIH HHS P50 MH079485
6 · The paper itself

Abstract

backgroundThe neurobiology of bulimia nervosa (BN) is poorly understood. Recent animal literature suggests that binge eating is associated with altered brain dopamine (DA) reward function. In this study, we wanted to investigate DA-related brain reward learning in BN.

methodsIll BN (n = 20, age: mean = 25.2, SD = 5.3 years) and healthy control women (CW) (n = 23, age: mean = 27.2, SD = 6.4 years) underwent functional magnetic resonance brain imaging together with application of a DA-related reward learning paradigm, the temporal difference (TD) model. That task involves association learning between conditioned visual and unconditioned taste stimuli, as well as unexpected violation of those learned associations. Study participants also completed the Sensitivity to Reward and Punishment Questionnaire.

resultsBulimia nervosa individuals showed reduced brain response compared with CW for unexpected receipt and omission of taste stimuli, as well as reduced brain regression response to the TD computer model generated reward values, in insula, ventral putamen, amygdala, and orbitofrontal cortex. Those results were qualitatively similar in BN individuals who were nondepressed and unmedicated. Binge/purge frequency in BN inversely predicted reduced TD model response. Bulimia nervosa individuals showed significantly higher Sensitivity to Reward and Punishment compared with CW.

conclusionsThis is the first study that relates reduced brain DA responses in BN to the altered learning of associations between arbitrary visual stimuli and taste rewards. This attenuated response is related to frequency of binge/purge episodes in BN. The brain DA neurotransmitter system could be an important treatment target for BN.

Indexed as

AdultAssociation LearningBrainBrain MappingBulimia NervosaCase-Control StudiesFemaleHumansMagnetic Resonance ImagingReinforcement, PsychologySelf Report

Identifiers

PMID21718969
PMCPMC3186835
OpenAlexW2063952618

What OpenQuestion holds

Textmetadata
LicenceTDM
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.