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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

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Published on: September 19, 2012

Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making.

Jan Peters1, Christian Büchel

  • 1Neuroimage Nord, Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, D-20246 Hamburg, Germany. jpeters@uke.uni-hamburg.de

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|December 18, 2009
PubMed
Summary

Efficient decision-making relies on a common neural code for value. This study reveals how the brain integrates delayed and probabilistic rewards using both general and specific valuation networks.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • Valuation of diverse rewards may utilize distinct neural systems.
  • Efficient decision-making necessitates a unified neural representation of stimulus value.

Purpose of the Study:

  • To investigate the neural coding of subjective value for delayed versus probabilistic rewards.
  • To identify brain regions involved in domain-general and domain-specific value computation.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed to measure brain activity.
  • Participants evaluated decision options involving delayed and probabilistic rewards.
  • Behavioral hyperbolic discounting was analyzed to assess individual preferences.

Main Results:

  • Ventral striatum and orbitofrontal cortex exhibited domain-general subjective value coding.
  • Fronto-polar, parietal, and posterior cingulate cortex specifically encoded delayed reward value.
  • Superior parietal and middle occipital areas uniquely represented probabilistic reward value.

Conclusions:

  • The human brain employs a hybrid valuation system combining domain-general and domain-specific networks.
  • This mechanism supports efficient choice behavior by integrating diverse reward information.
  • Neural coding of subjective value is flexible, adapting to different reward characteristics.