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The hierarchical sensitivity to social misalignment during decision-making under uncertainty
Yongling Lin1, Ruolei Gu2,3, Shenghua Luan2,3
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Individuals adjust decisions based on social misalignment, with stronger preferences leading to less switching. Neural sensitivity to misalignment follows a hierarchical pattern across risky and ambiguous contexts.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Decision Science
Background:
- Social misalignment, a deviation from group norms, influences individual decision-making.
- Understanding reactions to social misalignment is crucial in both risky and ambiguous contexts.
Purpose of the Study:
- To investigate neural and behavioral responses to social misalignment during decision-making.
- To explore how context (risky vs. ambiguous) affects reactions to social misalignment.
Main Methods:
- Participants made forced-choice gambles, observed others' decisions, and could switch their choices.
- Behavioral data (switching behavior) and event-related potentials (ERPs) were recorded.
- Analysis focused on N1, feedback-related negativity (FRN), and P3 components for neural correlates.
Main Results:
- Behaviorally, stronger initial preferences reduced switching, while greater misalignment increased it.
- Electrophysiology revealed hierarchical processing: early binary detection (N1), sensitivity to low misalignment (FRN), and detailed processing (P3).
- Neural sensitivity patterns were consistent across risky and ambiguous decision contexts.
Conclusions:
- Individuals exhibit a nuanced neural sensitivity to social misalignment during decision-making under uncertainty.
- A hierarchical neural system processes social misalignment, adapting to varying degrees and contexts.
- Findings highlight the brain's intricate mechanisms for navigating social influence in decision-making.
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