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Updated: Jul 16, 2026

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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Prediction error for free monetary reward in the human prefrontal cortex
N Ramnani1, R Elliott, B S Athwal
1Wellcome Department of Imaging Neuroscience, Institute of Neurology, London, UK. n.ramnani@rhul.ac.uk
Neuroimage
|November 6, 2004
Summary
Understanding reward prediction error in the human brain is crucial. This study reveals distinct frontotemporal circuits for unexpected rewards and reward omissions, advancing our knowledge of monetary reward processing.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Predicting future rewards is vital for primates.
- Dopamine neurons in monkeys signal reward prediction errors.
- Human brain mechanisms for monetary reward prediction error are poorly understood, especially when rewards are not behavior-contingent.
Purpose of the Study:
- To investigate human brain activity related to monetary reward prediction errors.
- To differentiate neural responses to unpredicted rewards versus the failure of expected rewards.
- To explore how these systems function when rewards are independent of actions.
Main Methods:
- Event-related functional magnetic resonance imaging (fMRI) was employed.
- Participants predicted monetary rewards or non-rewards based on visual cues.
- Cue-outcome contingencies were occasionally reversed, creating prediction errors.
Main Results:
- Distinct frontotemporal circuits were activated by different prediction errors.
- Failure of expected rewards activated the temporal cortex and frontal pole (Area 10).
- Unpredicted rewards activated the orbitofrontal cortex, frontal pole, parahippocampal cortex, and cerebellum.
Conclusions:
- Specific frontotemporal circuits are involved in processing monetary reward prediction errors in humans.
- These findings suggest a role for these circuits in encoding cue-monetary reward associations.
- The study highlights distinct neural pathways for processing positive and negative prediction errors.
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