Neural mechanisms of economic choices in mice

  1. Masaru Kuwabara
  2. Ningdong Kang
  3. Timothy E Holy
  4. Camillo Padoa-Schioppa  Is a corresponding author
  1. Washington University in St Louis, United States

Abstract

Economic choices entail computing and comparing subjective values. Evidence from primates indicates that this behavior relies on the orbitofrontal cortex. Conversely, previous work in rodents provided conflicting results. Here we present a mouse model of economic choice behavior, and we show that the lateral orbital (LO) area is intimately related to the decision process. In the experiments, mice chose between different juices offered in variable amounts. Choice patterns closely resembled those measured in primates. Optogenetic inactivation of LO dramatically disrupted choices by inducing erratic changes of relative value and by increasing choice variability. Neuronal recordings revealed that different groups of cells encoded the values of individual options, the binary choice outcome and the chosen value. These groups match those previously identified in primates, except that the neuronal representation in mice is spatial (in monkeys it is good-based). Our results lay the foundations for a circuit-level analysis of economic decisions.

Data availability

Data and analysis files included as supplementary information

Article and author information

Author details

  1. Masaru Kuwabara

    Department of Neuroscience, Washington University in St Louis, Saint Louis, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Ningdong Kang

    Department of Neuroscience, Washington University in St Louis, Saint Louis, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Timothy E Holy

    Department of Neuroscience, Washington University in St Louis, Saint Louis, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Camillo Padoa-Schioppa

    Department of Neuroscience, Washington University in St Louis, Saint Louis, United States
    For correspondence
    camillo@wustl.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7519-8790

Funding

National Institute on Drug Abuse (R21-DA042882)

  • Camillo Padoa-Schioppa

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Naoshige Uchida, Harvard University, United States

Ethics

Animal experimentation: All experimental procedures conformed to the NIH Guide for the Care and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee (IACUC) at Washington University in St Louis (protocol # 20160167).

Version history

  1. Received: June 25, 2019
  2. Accepted: February 24, 2020
  3. Accepted Manuscript published: February 25, 2020 (version 1)
  4. Version of Record published: March 9, 2020 (version 2)

Copyright

© 2020, Kuwabara et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 4,421
    views
  • 656
    downloads
  • 40
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Masaru Kuwabara
  2. Ningdong Kang
  3. Timothy E Holy
  4. Camillo Padoa-Schioppa
(2020)
Neural mechanisms of economic choices in mice
eLife 9:e49669.
https://doi.org/10.7554/eLife.49669

Share this article

https://doi.org/10.7554/eLife.49669

Further reading

    1. Neuroscience
    Max Schulz, Malte Wöstmann
    Insight

    Asymmetries in the size of structures deep below the cortex explain how alpha oscillations in the brain respond to shifts in attention.

    1. Neuroscience
    Tara Ghafari, Cecilia Mazzetti ... Ole Jensen
    Research Article

    Evidence suggests that subcortical structures play a role in high-level cognitive functions such as the allocation of spatial attention. While there is abundant evidence in humans for posterior alpha band oscillations being modulated by spatial attention, little is known about how subcortical regions contribute to these oscillatory modulations, particularly under varying conditions of cognitive challenge. In this study, we combined MEG and structural MRI data to investigate the role of subcortical structures in controlling the allocation of attentional resources by employing a cued spatial attention paradigm with varying levels of perceptual load. We asked whether hemispheric lateralization of volumetric measures of the thalamus and basal ganglia predicted the hemispheric modulation of alpha-band power. Lateral asymmetry of the globus pallidus, caudate nucleus, and thalamus predicted attention-related modulations of posterior alpha oscillations. When the perceptual load was applied to the target and the distractor was salient caudate nucleus asymmetry predicted alpha-band modulations. Globus pallidus was predictive of alpha-band modulations when either the target had a high load, or the distractor was salient, but not both. Finally, the asymmetry of the thalamus predicted alpha band modulation when neither component of the task was perceptually demanding. In addition to delivering new insight into the subcortical circuity controlling alpha oscillations with spatial attention, our finding might also have clinical applications. We provide a framework that could be followed for detecting how structural changes in subcortical regions that are associated with neurological disorders can be reflected in the modulation of oscillatory brain activity.