Electrophysiological correlates of self-prioritization

Area of Science:

• Cognitive Neuroscience
• Social Cognition
• Computational Modeling

Background:

• Personally relevant stimuli significantly impact social cognition.
• The precise timing of self-relevance influence on decision-making remains unclear.
• Understanding self-prioritization mechanisms is crucial for social cognitive research.

Purpose of the Study:

• To investigate how self-relevance affects decisional operations early in information processing.
• To elucidate the electrophysiological correlates of self-prioritization during a cognitive task.

Main Methods:

• Employed a shape-label matching task combined with electroencephalography (EEG).
• Utilized computational modeling, specifically a hierarchical drift diffusion model (HDDM).
• Analyzed neural activity, focusing on N1 and P3 components.

Main Results:

• Observed a self-prioritization effect: faster and more accurate responses to self-related stimuli.
• HDDM analysis indicated enhanced evidence uptake from self-related stimuli.
• Identified self-other discrimination in both early (N1) and late (P3) EEG components, linking N1 to evidence accumulation and P3 to response selection.

Conclusions:

• Self-relevance enhances the initial processing and accumulation of evidence during decision-making.
• Both early sensory/perceptual and later cognitive control processes are modulated by self-relevance.
• The findings provide a detailed electrophysiological account of how the self influences cognitive processes.