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.

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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

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article

The neural basis of self-ambivalence: an ERP study

Yulin Zhang, Yiting Guo, Dian Chen, Ying Liu
3 citations
BMC Psychology
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
1.52
article

The neural basis of self-ambivalence: an ERP study

Yulin Zhang, Yiting Guo, Dian Chen, Ying Liu
article en
3 citations

Abstract

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.

BMC PsychologyVol. 12(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Southeast University (BD), Southeast University (CN)
Tsinghua University, Fundamental Research Funds for the Central Universities, National Social Science Fund of China
Reduced inequalities
Openalex Percentile: Top 15%
Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
1.52
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