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The Medial Prefrontal Cortex Shapes Dopamine Reward Prediction Errors under State Uncertainty
Clara Kwon Starkweather1, Samuel J Gershman2, Naoshige Uchida1
1Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA.
Neuron
|April 17, 2018
Summary
The medial prefrontal cortex (mPFC) is crucial for inferring hidden environmental states, impacting dopamine neuron activity during uncertain reward prediction tasks.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Behavioral Neuroscience
Background:
- Animals predict outcomes using available information, but often need to infer hidden environmental states when sensory cues are incomplete.
- The neural circuits underlying hidden state inference remain largely unknown.
- Midbrain dopamine neurons show differential responses in classical conditioning tasks with certain versus uncertain reward delivery.
Purpose of the Study:
- To investigate the role of the medial prefrontal cortex (mPFC) in hidden state inference.
- To determine how mPFC influences dopaminergic signaling during tasks requiring inference.
Main Methods:
- Inactivation of the mPFC in a classical conditioning task.
- Recording of dopaminergic neuron activity.
- Computational modeling to explain observed effects.
Main Results:
- mPFC inactivation altered dopaminergic signaling specifically in a task requiring hidden state inference (90% reward), but not in a task with certainty (100% reward).
- Computational models indicated that the mPFC conveys hidden state inference information to the dopamine system.
Conclusions:
- The medial prefrontal cortex plays a critical role in enabling the dopamine system to infer hidden environmental states.
- This finding elucidates a key neural circuit for predictive processing under uncertainty.
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