Evidence map›Paper›PMID 34839845›Full record

ArticleJournal of the International Neuropsychological Society : JINS2022

Altered Reinforcement Learning from Reward and Punishment in Anorexia Nervosa: Evidence from Computational Modeling.

Christina E Wierenga, Erin Reilly, Amanda Bischoff-Grethe, Walter H Kaye, Gregory G Brown

Open access · hybridAbstract read
In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Addressing Altered Anticipation as a Transdiagnostic Target Through Computational Psychiatry.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Review
  7. Review
  8. Food choice and neural reward systems in adolescents with anorexia nervosa and atypical anorexia nervosa.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  9. Review
  10. Review
  11. Altered learning from positive feedback in adolescents with anorexia nervosa.Journal of the International Neuropsychological Society : JINS · 2024
    Article
  12. Review
  13. Article
  14. Back to the future: Progressing memory research in eating disorders.The International journal of eating disorders · 2023
    Article
  15. 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 at 2 institutions in 1 country.

Christina E WierengaUniversity of California, San Diego, CA, USA.ORCID 0000-0002-4843-1809
Erin ReillyHofstra University, Hempstead, NY, USA.
Amanda Bischoff-GretheUniversity of California, San Diego, CA, USA.
Walter H KayeUniversity of California, San Diego, CA, USA.
Gregory G BrownUniversity of California, San Diego, CA, USA.ORCID 0000-0002-6430-9854
University of California San Diego · USHofstra University · US

Funding

Incentive Processing and Learning in Anorexia Nervosa and Bulimia NervosaR01MH125880 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHRISTINA E WIERENGA · 2022 to 2026
$3.6M
Neurocircuitry of Temperament and Motivated Behavior in Adolescent Eating DisordersR01MH113588 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRETHE, AMANDA BISCHOFF, WIERENGA, CHRISTINA E · 2017 to 2021
$3.3M
Influence of Reward and Punishment on Goal-directed and Habit Learning in Adolescent Anorexia NervosaR21MH118409 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WIERENGA, CHRISTINA E · 2019 to 2020
$433k
NIMH NIH HHS R01 MH113588NIMH NIH HHS R01 MH125880NIMH NIH HHS R21 MH118409
6 · The paper itself

Abstract

objectivesAnorexia nervosa (AN) is associated with altered sensitivity to reward and punishment. Few studies have investigated whether this results in aberrant learning. The ability to learn from rewarding and aversive experiences is essential for flexibly adapting to changing environments, yet individuals with AN tend to demonstrate cognitive inflexibility, difficulty set-shifting and altered decision-making. Deficient reinforcement learning may contribute to repeated engagement in maladaptive behavior.

methodsThis study investigated learning in AN using a probabilistic associative learning task that separated learning of stimuli via reward from learning via punishment. Forty-two individuals with Diagnostic and Statistical Manual of Mental Disorders (DSM)-5 restricting-type AN were compared to 38 healthy controls (HCs). We applied computational models of reinforcement learning to assess group differences in learning, thought to be driven by violations in expectations, or prediction errors (PEs). Linear regression analyses examined whether learning parameters predicted BMI at discharge.

resultsAN had lower learning rates than HC following both positive and negative PE (

conclusionsThis is the first study to show lower rates of learning in AN following both positive and negative outcomes, with worse punishment learning predicting less weight gain. An inability to modify expectations about avoiding punishment might explain persistence of restricted eating despite negative consequences, and suggests that treatments that modify negative expectancy might be effective in reducing food avoidance in AN.

Indexed as

Anorexia NervosaPunishmentAffectComputer SimulationHumansRewardcognitiondecision-makingEating disordersoperant learningprediction errorprobabilistic associative learning

Identifiers

PMID34839845
PMCPMC9148374
OpenAlexW3216997485

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.