Evidence map›Paper›PMID 38127874›Full record

ArticlePLoS computational biology2023

Affect-congruent attention modulates generalized reward expectations.

Daniel Bennett, Angela Radulescu, Sam Zorowitz, Valkyrie Felso, Yael Niv

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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

5 authors.

Daniel BennettSchool of Psychological Sciences, Monash University, Clayton, Australia.ORCID 0000-0001-6608-9026
Angela RadulescuDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Sam ZorowitzPrinceton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America.
Valkyrie FelsoMax Planck Institute for Intelligent Systems, Tübingen, Germany.
Yael NivPrinceton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0002-0259-8371

Funding

A Computational Psychiatry Investigation of the effects of Mood on Reward Learning and AttentionR01MH119511 · NIMH · PRINCETON UNIVERSITY · PI NIV, YAEL · 2019 to 2023
$2.3M
NIMH NIH HHS R01 MH119511
6 · The paper itself

Abstract

Positive and negative affective states are respectively associated with optimistic and pessimistic expectations regarding future reward. One mechanism that might underlie these affect-related expectation biases is attention to positive- versus negative-valence features (e.g., attending to the positive reviews of a restaurant versus its expensive price). Here we tested the effects of experimentally induced positive and negative affect on feature-based attention in 120 participants completing a compound-generalization task with eye-tracking. We found that participants' reward expectations for novel compound stimuli were modulated in an affect-congruent way: positive affect induction increased reward expectations for compounds, whereas negative affect induction decreased reward expectations. Computational modelling and eye-tracking analyses each revealed that these effects were driven by affect-congruent changes in participants' allocation of attention to high- versus low-value features of compounds. These results provide mechanistic insight into a process by which affect produces biases in generalized reward expectations.

Indexed as

MotivationPessimismEmotionsGeneralization, PsychologicalHumansReward

Identifiers

PMID38127874
PMCPMC10781156

What OpenQuestion holds

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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.