Evidence map›Paper›PMID 28358557›Full record

ArticleEmotion (Washington, D.C.)2017

Social anxiety is characterized by biased learning about performance and the self.

Leonie Koban, Rebecca Schneider, Yoni K Ashar, Jessica R Andrews-Hanna, Lauren Landy, David A Moscovitch, Tor D Wager, Joanna J Arch

Abstract read
In one paragraph

Article in Emotion (Washington, D.C.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Trial
  2. Article
  3. Rewards bias self-evaluations of ability.Communications psychology · 2025
    Article
  4. Exploring Asymmetries in Self-Concept Change After Discrepant Feedback.Personality & social psychology bulletin · 2025
    Article
  5. Mechanisms of Change in Exposure Therapy for Anxiety and Related Disorders: A Research Agenda.Clinical psychological science : a journal of the Association for Psychological Science · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Hooking the Self Onto the Past: How Positive Autobiographical Memory Retrieval Benefits People With Social Anxiety.Clinical psychological science : a journal of the Association for Psychological Science · 2024
    Article
  10. Article
  11. Article
  12. Neurocognitive Model of Schema-Congruent and -Incongruent Learning in Clinical Disorders: Application to Social Anxiety and Beyond.Perspectives on psychological science : a journal of the Association for Psychological Science · 2023
    Article
  13. Article
  14. Article
  15. Invasive Computational Psychiatry.Biological psychiatry · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Leonie KobanInstitute of Cognitive Science, University of Colorado Boulder.ORCID 0000-0002-3121-6491
Rebecca SchneiderInstitute of Cognitive Science, University of Colorado Boulder.
Yoni K AsharInstitute of Cognitive Science, University of Colorado Boulder.ORCID 0000-0001-5602-5619
Jessica R Andrews-HannaInstitute of Cognitive Science, University of Colorado Boulder.
Lauren LandyInstitute of Cognitive Science, University of Colorado Boulder.
David A MoscovitchDepartment of Psychology, University of Waterloo.
Tor D WagerInstitute of Cognitive Science, University of Colorado Boulder.
Joanna J ArchDepartment of Psychology and Neuroscience, University of Colorado Boulder.

Funding

The Neural Bases of Placebo Effects and their Relation to Regulatory ProcessesR01MH076136 · NIMH · UNIVERSITY OF COLORADO · PI WAGER, TOR D. · 2007 to 2023
$8.5M
fMRI-based Biomarkers for Multiple Components of PainR01DA035484 · NIDA · UNIVERSITY OF COLORADO · PI WAGER, TOR D. · 2013 to 2017
$3.1M
Learning to avoid pain: Computational mechanisms and application to methamphetamiR01DA027794 · NIDA · UNIVERSITY OF COLORADO · PI WAGER, TOR D. · 2009 to 2013
$1.7M
NIDA NIH HHS R01 DA027794NIDA NIH HHS R01 DA035484NIH HHSNIMH NIH HHS R01 MH076136Swiss National Science Foundation
6 · The paper itself

Abstract

People learn about their self from social information, and recent work suggests that healthy adults show a positive bias for learning self-related information. In contrast, social anxiety disorder (SAD) is characterized by a negative view of the self, yet what causes and maintains this negative self-view is not well understood. Here the authors use a novel experimental paradigm and computational model to test the hypothesis that biased social learning regarding self-evaluation and self-feelings represents a core feature that distinguishes adults with SAD from healthy controls. Twenty-one adults with SAD and 35 healthy controls (HCs) performed a speech in front of 3 judges. They subsequently evaluated themselves and received performance feedback from the judges and then rated how they felt about themselves and the judges. Affective updating (i.e., change in feelings about the self over time, in response to feedback from the judges) was modeled using an adapted Rescorla-Wagner learning model. HCs demonstrated a positivity bias in affective updating, which was absent in SAD. Further, self-performance ratings revealed group differences in learning from positive feedback-a difference that endured at an average of 1 year follow up. These findings demonstrate the presence and long-term endurance of positively biased social learning about the self among healthy adults, a bias that is absent or reversed among socially anxious adults. (PsycINFO Database Record

Indexed as

Feedback, PsychologicalLearningPrejudiceSelf ConceptAdultAnxietyCase-Control StudiesEmotionsFemaleHumansMalePhobia, SocialSocial BehaviorSpeechYoung Adult

Identifiers

PMID28358557
PMCPMC5623172

What OpenQuestion holds

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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.