Evidence map›Paper›PMID 25941868›Full record

ArticleCognitive neuroscience

Social reward shapes attentional biases.

Brian A Anderson

Abstract read
In one paragraph

Article in Cognitive neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Value-Driven Crossmodal Spatial Attention: The Role of Perceptual Load.Annals of the New York Academy of Sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Rethinking Distraction.Visual cognition · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The past, present, and future of selection history.Neuroscience and biobehavioral reviews · 2021
    Review
  20. Previously reward-associated sounds interfere with goal-directed auditory processing.Quarterly journal of experimental psychology (2006) · 2021
    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

1 author.

Brian A Andersona Psychological & Brain Sciences , Johns Hopkins University , Baltimore , USA.

Funding

Cortical mechanisms of task switching revealed by fMRIR01DA013165 · NIDA · JOHNS HOPKINS UNIVERSITY · PI COURTNEY-FARUQEE, SUSAN M · 2000 to 2015
$7.2M
NIDA NIH HHS R01 DA013165
6 · The paper itself

Abstract

Paying attention to stimuli that predict a reward outcome is important for an organism to survive and thrive. When visual stimuli are associated with tangible, extrinsic rewards such as money or food, these stimuli acquire high attentional priority and come to automatically capture attention. In humans and other primates, however, many behaviors are not motivated directly by such extrinsic rewards, but rather by the social feedback that results from performing those behaviors. In the present study, I examine whether positive social feedback can similarly influence attentional bias. The results show that stimuli previously associated with a high probability of positive social feedback elicit value-driven attentional capture, much like stimuli associated with extrinsic rewards. Unlike with extrinsic rewards, however, such stimuli also influence task-specific motivation. My findings offer a potential mechanism by which social reward shapes the information that we prioritize when perceiving the world around us.

Indexed as

Facial ExpressionRewardSocial PerceptionAdultAttentional BiasFeedback, PsychologicalHumansSocial LearningYoung AdultReward learningSelective attentionSocial feedback

Identifiers

PMID25941868
PMCPMC4654995

What OpenQuestion holds

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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.