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Updated: Jun 23, 2026

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Published on: August 25, 2023
Betrayal and unfairness are linked through insula-valuation network dynamics
Neural sensitivity to betrayal and unfairness involves overlapping brain regions but distinct connectivity patterns. This research reveals how the brain generalizes responses to social norm violations across different contexts.
Area of Science:
- Social Neuroscience
- Neuroeconomics
- Cognitive Neuroscience
Background:
- Cooperation relies on trust and fairness, yet neural bases for violations of these social norms are often studied in isolation.
- Understanding how the brain processes different types of social norm violations is crucial for comprehending social behavior.
Purpose of the Study:
- To investigate whether neural sensitivity to betrayal in one social context predicts responses to unfairness in a separate context.
- To explore the neural mechanisms underlying the generalization of sensitivity to interpersonal norm violations.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to scan 132 adults during the Trust Game and Ultimatum Game.
- Analysis focused on regional brain activation and functional connectivity, particularly within the anterior insula and ventromedial prefrontal cortex.
- Cross-task analyses examined individual differences in neural responses to social and nonsocial stimuli.
Main Results:
- Both betrayal and unfairness activated overlapping regions in the left anterior insula, but individual differences in activation were uncorrelated across tasks.
- Connectivity patterns differed: stronger anterior insula responses to social betrayal predicted weaker anterior insula-ventromedial prefrontal coupling during fairness evaluation.
- These findings suggest a network-level mechanism for generalizing sensitivity to interpersonal norm violations, rather than a simple shared regional response.
Conclusions:
- Betrayal and unfairness are linked not by identical regional responses but by how salience signals engage valuation circuitry across contexts.
- The study reveals a network-level architecture for generalizing sensitivity to interpersonal norm violations, bridging canonical social exchange tasks.
- This research advances our understanding of the neural basis of social decision-making and norm compliance.
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