Reward-specific satiety affects subjective value signals in orbitofrontal cortex during multicomponent economic...

Area of Science:

• Neuroscience
• Decision Science
• Behavioral Economics

Background:

• Sensitivity to satiety is crucial for coding subjective reward value.
• Satiety influences reward functions in learning and approach behaviors.
• Assessing economic reward value requires choice indifference, challenging with sated rewards.

Purpose of the Study:

• To investigate how reward-specific satiety affects subjective economic reward value.
• To explore the neuronal coding of value under satiety in the orbitofrontal cortex (OFC).
• To apply Revealed Preference Theory to assess value with multi-component reward bundles.

Main Methods:

• Monkeys made choices between differently sated reward bundles to achieve choice indifference.
• Neuronal activity in the OFC was recorded during these choices.
• A neuronal classifier predicted choices based on bundle composition and satiety state.

Main Results:

• Psychophysically titrated choice indifference was achieved between reward bundles.
• Neuronal chosen value signals in the OFC accurately reflected subjective value changes due to satiety.
• Neuronal activity distinguished between bundles and predicted choices, confirming subjective value shifts.

Conclusions:

• Reward-specific satiety demonstrably reduces subjective reward value signals in the OFC.
• These findings extend the understanding of subjective economic value coding in OFC neurons.
• Satiety is a significant factor influencing economic decision-making processes.