Evidence map›Paper›PMID 26084903›Full record

ArticleJournal of neurophysiology2015

Neuronal variability in orbitofrontal cortex during economic decisions.

Katherine E Conen, Camillo Padoa-Schioppa

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Neuronal Activity in Orbitofrontal Cortex during Trinary Choices under Risk.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Orbitofrontal High-Gamma Reflects Spike-Dissociable Value and Decision Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Neuronal Activity in the Gustatory Cortex during Economic Choice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Partial Adaptation to the Value Range in the Macaque Orbitofrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

2 authors.

Katherine E ConenDepartment of Anatomy and Neurobiology, Washington University in St. Louis, St. Louis, Missouri;
Camillo Padoa-SchioppaDepartment of Anatomy and Neurobiology, Washington University in St. Louis, St. Louis, Missouri; Department of Economics, Washington University in St. Louis, St. Louis, Missouri; and Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri camillo@wustl.edu.ORCID http://orcid.org/0000-0002-7519-8790

Funding

Systems and Molecular Neurobiology Training ProgramT32GM008151 · NIGMS · WASHINGTON UNIVERSITY · PI SNYDER, LAWRENCE H · 1985 to 2019
$6.5M
THE ROLE OF PREFRONTAL REGIONS IN ECONOMIC CHOICE AND CHOICE-GUIDED BEHAVIORR01DA032758 · NIDA · WASHINGTON UNIVERSITY · PI Camillo Padoa-Schioppa · 2012 to 2026
$5.4M
NEURONAL MECHANISMS OF GOOD-BASED ECONOMIC DECISIONSR01MH104494 · NIMH · WASHINGTON UNIVERSITY · PI PADOA-SCHIOPPA, CAMILLO · 2015 to 2025
$4.2M
NIDA NIH HHS R01 DA032758NIDA NIH HHS R01-DA-032758NIGMS NIH HHS T32 GM008151NIGMS NIH HHS T32-GM-008151NIMH NIH HHS R01 MH104494NIMH NIH HHS R01-MH-104494
6 · The paper itself

Abstract

Neuroeconomic models assume that economic decisions are based on the activity of offer value cells in the orbitofrontal cortex (OFC), but testing this assertion has proven difficult. In principle, the decision made on a given trial should correlate with the stochastic fluctuations of these cells. However, this correlation, measured as a choice probability (CP), is small. Importantly, a neuron's CP reflects not only its individual contribution to the decision (termed readout weight), but also the intensity and the structure of correlated variability across the neuronal population (termed noise correlation). A precise mathematical relation between CPs, noise correlations, and readout weights was recently derived by Haefner and colleagues (Haefner RM, Gerwinn S, Macke JH, Bethge M. Nat Neurosci 16: 235-242, 2013) for a linear decision model. In this framework, concurrent measurements of noise correlations and CPs can provide quantitative information on how a population of cells contributes to a decision. Here we examined neuronal variability in the OFC of rhesus monkeys during economic decisions. Noise correlations had similar structure but considerably lower strength compared with those typically measured in sensory areas during perceptual decisions. In contrast, variability in the activity of individual cells was high and comparable to that recorded in other cortical regions. Simulation analyses based on Haefner's equation showed that noise correlations measured in the OFC combined with a plausible readout of offer value cells reproduced the experimental measures of CPs. In other words, the results obtained for noise correlations and those obtained for CPs taken together support the hypothesis that economic decisions are primarily based on the activity of offer value cells.

Indexed as

Decision MakingModels, NeurologicalAnimalsFemaleMacaca mulattaMaleModels, EconomicNeuronsPrefrontal CortexSignal-To-Noise Rationeoroeconomicssubjective valuevalue-based decision

Identifiers

PMID26084903
PMCPMC4556853

What OpenQuestion holds

Textmetadata
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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.