The neural basis of self-ambivalence: an ERP study
The primary objective of this study was to investigate the neural basis of self-ambivalence, a phenomenon firmly established by behavioral research but whose underlying brain mechanisms have been less explored. Employing EEG methods and a modified self-reference paradigm, we analyzed event-related potentials using a linear mixed model to determine whether self-ambivalence processing exhibits a distinct neural representation. The results indicated that self-ambivalence processing primarily affected the late components (N2, N450, and P3), with N450 activation in the midline brain regions showing a significant positive correlation with scores on the Dialectical Self Scale. This finding suggests that individuals with higher levels of self-ambivalence may engage in more extensive processing of self-ambivalent information. The current study confirms the importance of the cortical midline in self-ambivalence and provides the first evidence of a distinct EEG representation of self-ambivalence processing. These findings contribute to our understanding of the neural mechanisms underlying self-ambivalence and highlight the potential role of individual differences in shaping the neural processing of self-ambivalent information.
Authors
- Yulin Zhang (ORCID: https://orcid.org/0000-0001-7231-3880)
- Yiting Guo
- Dian Chen (ORCID: https://orcid.org/0000-0003-0419-5063)
- Ying Liu (ORCID: https://orcid.org/0000-0001-9636-990X)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Southeast University (BD)
- Southeast University (CN)
Publication Details
- Journal
- BMC Psychology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s40359-024-02257-9
- Citations
- 3
- Primary Topic
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Tsinghua University
- Fundamental Research Funds for the Central Universities
- National Social Science Fund of China