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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Value and prediction error estimation account for volatility effects in ACC: a model-based fMRI study.

Massimo Silvetti1, Ruth Seurinck, Tom Verguts

  • 1Department of Experimental Psychology, Ghent University, Ghent, Belgium. massimo.silvetti@ugent.be

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Summary

Mammals estimate action values using prediction errors. The anterior cingulate cortex (ACC) shows higher activation in uncertain, stable environments, suggesting its volatility response stems from basic reward processing.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Neuroscience

Background:

  • Mammals estimate action values based on past outcomes to maximize fitness.
  • Value updates rely on prediction errors, comparing expected and actual rewards.
  • The anterior cingulate cortex (ACC) is crucial for computing value and its temporal variability (volatility).

Purpose of the Study:

  • To test the Reward Value and Prediction Model (RVPM) in explaining ACC's response to environmental volatility.
  • To investigate how uncertainty and volatility influence ACC activation.
  • To demonstrate that basic reward processing mechanisms can account for ACC's response to volatility.

Main Methods:

  • Utilized computer simulations of the RVPM.
  • Conducted a model-based functional magnetic resonance imaging (fMRI) study.
  • Analyzed ACC activation patterns under varying uncertainty and volatility conditions.

Main Results:

  • Highly uncertain but non-volatile environments led to greater ACC activation compared to volatile environments.
  • The RVPM successfully predicted ACC activation based on value estimation and prediction error computation.
  • ACC's response to volatility is explained by its fundamental role in reward processing.

Conclusions:

  • ACC's engagement with environmental volatility can be parsimoniously explained by its core function in value estimation.
  • Prediction error computation within the ACC framework accounts for observed responses to volatility.
  • These findings refine our understanding of ACC's role in adaptive decision-making under changing environmental conditions.