Independent and interacting value systems for reward and information in the human brain

Theories of prefrontal cortex (PFC) as optimizing reward value have been widely deployed to explain its activity in a diverse range of contexts, with substantial empirical support in neuroeconomics and decision neuroscience. Similar neural circuits, however, have also been associated with information processing. By using computational modeling, model-based functional magnetic resonance imaging analysis, and a novel experimental paradigm, we aim at establishing whether a dedicated and independent value system for information exists in the human PFC. We identify two regions in the human PFC that independently encode reward and information. Our results provide empirical evidence for PFC as an optimizer of independent information and reward signals during decision-making under realistic scenarios, with potential implications for the interpretation of PFC activity in both healthy and clinical populations.

Automated summary

This study uses computational modeling, model-based functional magnetic resonance imaging analysis, and a novel experimental paradigm to identify a dedicated and independent value system for information in the human PFC. The results provide empirical evidence for PFC as an optimizer of independent information and reward signals during decision-making.