Evidence map›Paper›PMID 34516150›Full record

ArticlePsychological review2022

A model of mood as integrated advantage.

Daniel Bennett, Guy Davidson, Yael Niv

Abstract read
In one paragraph

Article in Psychological review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Observational
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  16. Latent-state and model-based learning in PTSD.Trends in neurosciences · 2024
    Review
  17. Article
  18. Article
  19. Leveraging Decision Science to Characterize Depression.Current directions in psychological science · 2023
    Article
  20. 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

3 authors.

Daniel BennettDepartment of Psychiatry.ORCID 0000-0001-6608-9026
Guy DavidsonCenter for Data Science.
Yael NivPrinceton Neuroscience Institute and Department of Psychology.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

Mood is an integrative and diffuse affective state that is thought to exert a pervasive effect on cognition and behavior. At the same time, mood itself is thought to fluctuate slowly as a product of feedback from interactions with the environment. Here we present a new computational theory of the valence of mood-the Integrated Advantage model-that seeks to account for this bidirectional interaction. Adopting theoretical formalisms from reinforcement learning, we propose to conceptualize the valence of mood as a leaky integral of an agent's appraisals of the Advantage of its actions. This model generalizes and extends previous models of mood wherein affective valence was conceptualized as a moving average of reward prediction errors. We give a full theoretical derivation of the Integrated

Indexed as

AffectRewardCognitionHumansLearningReinforcement, Psychology

Identifiers

PMID34516150
PMCPMC8917968

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.