Evidence map›Paper›PMID 23849203›Full record

ArticleNeuron2013

The neural representation of unexpected uncertainty during value-based decision making.

Elise Payzan-LeNestour, Simon Dunne, Peter Bossaerts, John P O'Doherty

Abstract read
In one paragraph

Article in Neuron, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 2 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

123 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Brain networks for confidence weighting and hierarchical inference during probabilistic learning.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Trial
  5. Trial
  6. Orbitofrontal noradrenaline supports adaptive learning-rate adjustment in probabilistic reversal learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
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  16. Age-Related Increase in Locus Ceruleus Activity and Connectivity with the Prefrontal Cortex during Ambiguity Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  17. Article
  18. Active information sampling in health and disease.Neuroscience and biobehavioral reviews · 2025
    Review
  19. Uncertainty, Not Mental Content, Drives Dorsomedial Prefrontal Engagement during Inferences about Others.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  20. Universal Coding for Uncertainty?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article

63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Elise Payzan-LeNestourAustralian School of Business, School of Banking and Finance, The University of New South Wales (UNSW), Sydney, NSW 2052, Australia. elise@elisepayzan.com
Simon Dunne
Peter Bossaerts
John P O'Doherty

Funding

The Neurobiology of Social Decision-Making: Social Inference and ContextP50MH094258 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI O'DOHERTY, JOHN P · 2012 to 2021
$18.6M
European Research Council 243108NIMH NIH HHS P50 MH094258
6 · The paper itself

Abstract

Uncertainty is an inherent property of the environment and a central feature of models of decision-making and learning. Theoretical propositions suggest that one form, unexpected uncertainty, may be used to rapidly adapt to changes in the environment, while being influenced by two other forms: risk and estimation uncertainty. While previous studies have reported neural representations of estimation uncertainty and risk, relatively little is known about unexpected uncertainty. Here, participants performed a decision-making task while undergoing functional magnetic resonance imaging (fMRI), which, in combination with a Bayesian model-based analysis, enabled us to separately examine each form of uncertainty examined. We found representations of unexpected uncertainty in multiple cortical areas, as well as the noradrenergic brainstem nucleus locus coeruleus. Other unique cortical regions were found to encode risk, estimation uncertainty, and learning rate. Collectively, these findings support theoretical models in which several formally separable uncertainty computations determine the speed of learning.

Indexed as

Social ValuesUncertaintyAdultBayes TheoremBrainBrain MappingDecision MakingFemaleFunctional NeuroimagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMale

Identifiers

PMID23849203
PMCPMC4885745

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.