Dopaminergic responses to identity prediction errors depend differently on the orbitofrontal cortex and hippocampus
Yuji K Takahashi1, Zhewei Zhang1, Thorsten Kahnt1
1Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD.
Biorxiv : the Preprint Server for Biology
|January 7, 2025
Summary
The hippocampus (HC) and orbitofrontal cortex (OFC) are crucial for dopamine neurons to signal reward prediction errors. Lesions in these brain areas disrupt the ability to update reward value and identity expectations.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Neurobiology
Background:
- Adaptive behavior relies on predicting rewards, necessitating neural systems to represent and update reward value and identity.
- Dopamine neurons signal prediction errors, crucial for learning and behavioral adaptation.
- The hippocampus (HC) and orbitofrontal cortex (OFC) are implicated in representing specific reward characteristics.
Purpose of the Study:
- To investigate the role of the HC and OFC in dopamine neuron prediction error signaling.
- To determine if HC and OFC are necessary for signaling reward value and identity prediction errors.
Main Methods:
- Monitoring dopamine neuron activity in the ventral tegmental area (VTA) of rats.
- Inducing prediction errors by altering the number (value) or flavor (identity) of expected rewards.
- Utilizing neurotoxic lesions in the HC and OFC to assess their contribution.
Main Results:
- Control rats showed dopamine neuron firing consistent with both value and identity prediction errors.
- Rats with HC lesions failed to signal either value or identity prediction errors.
- Rats with OFC lesions showed persistent identity error signals and subtle value error signal alterations.
Conclusions:
- The HC and OFC provide distinct information critical for dopamine neuron prediction error computation.
- The HC is essential for signaling both reward value and identity prediction errors.
- The OFC plays a specific role in signaling identity prediction errors, with a less pronounced effect on value errors.
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