Competition between learned reward and error outcome predictions in anterior cingulate cortex.

Area of Science:

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging

Background:

• The anterior cingulate cortex (ACC) is crucial for cognitive control and performance monitoring.
• Human ACC studies primarily reveal conflict and error signals, unlike primate studies showing reward signals.
• Previous research suggested error likelihood effects in ACC might be modulated by reward magnitude.

Purpose of the Study:

• To investigate distinct appetitive and aversive activity in the human ACC.
• To explore the interaction between expected reward and error likelihood in the ACC.
• To determine if ACC signals risk perception and predicted reward.

Main Methods:

• Functional magnetic resonance imaging (fMRI) was used to analyze brain activity.
• An Incentive Change Signal Task independently manipulated reward magnitude and error likelihood.
• Dynamic causal modeling (DCM) assessed the intrinsic nature of ACC signals.

Main Results:

• fMRI results indicated a competitive interaction between expected reward and error likelihood in the ACC, not a modulatory effect.
• DCM confirmed that error likelihood and expected reward signals are intrinsic to the ACC.
• Distinct appetitive and aversive activity was demonstrated in the human ACC.

Conclusions:

• Human ACC activity reflects both perceptions of risk and predicted reward.
• The findings reconcile primate and human ACC research by demonstrating reward signals in humans.
• ACC plays a key role in integrating information about potential rewards and errors for decision-making.