Evidence map›Paper›PMID 34270552›Full record

ArticlePLoS computational biology2021

An association between prediction errors and risk-seeking: Theory and behavioral evidence.

Moritz Moeller, Jan Grohn, Sanjay Manohar, Rafal Bogacz

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Habenula-ventral tegmental area functional coupling and risk aversion in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Risk-Taking Is Associated with Decreased Subjective Value Signals and Increased Prediction Error Signals in the Hot Columbia Card Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Article
  8. Article
  9. Decision-Making, Pro-variance Biases and Mood-Related Traits.Computational psychiatry (Cambridge, Mass.) · 2024
    Article
  10. Article
  11. 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

4 authors at 1 institution in 1 country.

Moritz MoellerNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0399-574X
Jan GrohnDepartment of Experimental Psychology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-9233-1066
Sanjay ManoharNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0735-4349
Rafal BogaczNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-8994-1661
University of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council B/S006338/1Medical Research Council MC_UU_00003/1Medical Research Council MC_UU_12024/5Medical Research Council MR/K501256/1Medical Research Council MR/N013468/1Medical Research Council MR/P00878X/1Medical Research Council MR/V036858/1
6 · The paper itself

Abstract

Reward prediction errors (RPEs) and risk preferences have two things in common: both can shape decision making behavior, and both are commonly associated with dopamine. RPEs drive value learning and are thought to be represented in the phasic release of striatal dopamine. Risk preferences bias choices towards or away from uncertainty; they can be manipulated with drugs that target the dopaminergic system. Based on the common neural substrate, we hypothesize that RPEs and risk preferences are linked on the level of behavior as well. Here, we develop this hypothesis theoretically and test it empirically. First, we apply a recent theory of learning in the basal ganglia to predict how RPEs influence risk preferences. We find that positive RPEs should cause increased risk-seeking, while negative RPEs should cause risk-aversion. We then test our behavioral predictions using a novel bandit task in which value and risk vary independently across options. Critically, conditions are included where options vary in risk but are matched for value. We find that our prediction was correct: participants become more risk-seeking if choices are preceded by positive RPEs, and more risk-averse if choices are preceded by negative RPEs. These findings cannot be explained by other known effects, such as nonlinear utility curves or dynamic learning rates.

Indexed as

Models, PsychologicalRewardRisk-TakingAdolescentAdultAssociation LearningBasal GangliaComputational BiologyComputer SimulationCorpus StriatumDecision MakingDopamineEconomics, BehavioralFemaleHumansLearningDopamine

Identifiers

PMID34270552
PMCPMC8318232
OpenAlexW3180834236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.