Evidence map›Paper›PMID 30833513›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

Partial Adaptation to the Value Range in the Macaque Orbitofrontal Cortex.

Katherine E Conen, Camillo Padoa-Schioppa

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. 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. Article
  3. eLife · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Foraging with the frontal cortex: A cross-species evaluation of reward-guided behavior.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Review
  11. Review
  12. Article
  13. Article
  14. Context-sensitive valuation and learning.Current opinion in behavioral sciences · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Katherine E ConenDepartments of Neuroscience.ORCID 0000-0003-3879-1680
Camillo Padoa-SchioppaDepartments of Neuroscience, camillo@wustl.edu.ORCID 0000-0002-7519-8790

Funding

NEURONAL MECHANISMS OF GOOD-BASED ECONOMIC DECISIONSR01MH104494 · NIMH · WASHINGTON UNIVERSITY · PI PADOA-SCHIOPPA, CAMILLO · 2015 to 2025
$4.2M
Analyzing contextual adaptation in value-encoding neurons during economic choice.F31MH107111 · NIMH · WASHINGTON UNIVERSITY · PI CONEN, KATHERINE E · 2015 to 2016
$60k
NIMH NIH HHS F31 MH107111NIMH NIH HHS R01 MH104494
6 · The paper itself

Abstract

Values available for choice in different behavioral contexts can vary immensely. To compensate for this variability, neuronal circuits underlying economic decisions undergo adaptation. In orbitofrontal cortex (OFC), neurons encode the subjective value of offered and chosen goods in a quasilinear way. Previous experiments found that the gain of the encoding is lower when the value range is wider. However, the parameters OFC neurons adapted to remained unclear. Furthermore, previous studies did not examine additive changes in neuronal responses. Computational considerations indicate that these factors can directly impact choice behavior. Here we investigated how OFC neurons adapt to changes in the value range. We recorded from two male rhesus monkeys during a juice choice task. Each session was divided into two blocks of trials. In each block, juices were offered within a set range of values, and ranges changed between blocks. Across blocks, neuronal responses adapted to both the maximum and the minimum value, but only partially. As a result, the minimum neural activity was elevated in some value ranges relative to others. Through simulation of a linear decision model, we showed that increasing the minimum response increases choice variability, lowering the expected payoff. This effect is modulated by the balance between cells with positive and negative encoding. The presence of these two populations induces a non-monotonic relationship between the value range and choice efficacy, such that the expected payoff is highest for decisions in an intermediate value range.

Indexed as

Adaptation, PhysiologicalRewardAnimalsChoice BehaviorMacaca mulattaMaleModels, NeurologicalNeuronsPrefrontal Cortexdecision-makingeconomic choiceneuronal plasticityoptimal codingrange adaptationsubjective value

Identifiers

PMID30833513
PMCPMC6495134

What OpenQuestion holds

Textmetadata
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.