The temporal dynamics of brain networks underlying value-modulated self-representation: An ERP microstate study
Boyi Zhang1, Ya Wang1, Xin Wu1
1Department of Psychology, Xinxiang Medical University, Henan 453003, China; Center for Cognition, Emotion, and Body (CCEB), Xinxiang Medical University, Xinxiang, Henan 453003, China.
Behavioural Brain Research
|April 3, 2026
Summary
Brain networks dynamically shape self-concept. Highly valued ingroup traits engage specific brain states (Microstate 4) for social identity alignment, while downregulating personal self-representation (Microstate 5).
Area of Science:
- Neuroscience
- Social Psychology
- Cognitive Science
Background:
- Understanding the neural basis of the self-concept is crucial for explaining social behavior.
- The dynamic coordination of large-scale brain networks underlies flexible self-representation.
Purpose of the Study:
- To investigate the spatiotemporal dynamics of value-modulated self-representation.
- To explore how social context influences neural mechanisms of the self.
Main Methods:
- Utilized a minimal group paradigm with a Self-Referential Processing of Group-Related Traits task.
- Employed electroencephalography (EEG) and microstate analysis with source localization.
- Analyzed event-related potentials (ERPs) during self-judgment tasks.
Main Results:
- Self-endorsement was higher for ingroup-highly-valued traits compared to outgroup-highly-valued traits.
- Microstate analysis revealed distinct network dynamics for different trait values and group affiliations.
- Specifically, highly valued ingroup traits (IGHC) increased Microstate 4 duration/area and decreased Microstate 5 duration/intensity.
Conclusions:
- Value-modulated self-representation involves a dynamic interplay between distinct late-stage brain networks.
- Microstate 4 supports alignment with value-congruent social identities.
- Microstate 5 is associated with personal self-representation, suggesting a neural trade-off shaped by social context.
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