Callousness, exploitativeness, and tracking of cooperation incentives in the human default network

Area of Science:

• Neuroscience
• Cognitive Science
• Social Psychology

Background:

• Flexible human cooperation may be linked to frontoparietal network expansion, particularly the default network.
• Antisocial behavior is associated with default network dysfunction, yet manipulation may require intact social cognition.

Purpose of the Study:

• To investigate how individuals adjust cooperation based on a counterpart's behavior and reputation using a reinforcement learning model.
• To examine the role of the default network in mediating cooperation, callousness, and exploitativeness.

Main Methods:

• A modified trust game with a reinforcement learning model of decision-making.
• Analysis of how learning signals in the default network relate to cooperation rates and individual differences.
• Assessment of behavioral sensitivity to social reputation and its neural correlates.

Main Results:

• Default network learning signals updated cooperation/defection utility and scaled with reciprocal cooperation.
• These signals were weaker in callous individuals but stronger in exploitative individuals.
• Callousness showed blunted sensitivity to cooperation incentives, while exploitativeness predicted heightened sensitivity to others' cooperation.

Conclusions:

• Callousness and exploitativeness may represent distinct cognitive adaptations for social living, enabled by default network expansion.
• The default network plays a crucial role in modulating social decision-making, particularly in response to cooperation and reputation.
• Understanding these neural mechanisms sheds light on the evolution of human social behavior.