Mei Zeng
Southwest University
8 Papers
4 Citations
Mei Zeng is an academic researcher from Southwest University. The author has contributed to research in topics: Collective self-esteem & Feeling. The author has an hindex of 1, co-authored 5 publications.
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Papers
Neural decoding of positive and negative self-knowledge
TL;DR: Findings suggest that the core self-network and salience network are specific to the neural process of self-knowledge, and both positive and negative self- knowledge are separately driven by different cognitive and neural characteristics.
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Resting-state dynamic functional connectivity predicts the psychosocial stress response.
TL;DR: In this article, a connectivity state (CS) was defined by positive correlations across the whole brain during resting-state that could negatively predict participants' feelings of social evaluative threat during stress tasks, and negative correlations between the frontal-parietal network (FPN) and almost all other networks, except the dorsal attentional network (DAN).
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Neural processing of personal, relational, and collective self-worth reflected individual differences of self-esteem.
TL;DR: In this article, the authors identify neurological indicators in the processing of personal, relational, and collective self-worth, and investigate whether these neural indicators could reflect individual differences of self-esteem.
7
Positive-Negative Asymmetry in Self-Related Processing
TL;DR: In this paper , 635 participants rated the extent to which an adjective describes themselves and how much pride or shame they felt during such an evaluation, and the results showed an increasing tendency in participants' self-descriptive ratings, from 1 (= very low) to 7 (= very high), which can positively predict pride but negatively predict shame.
4
Multivariable pattern classification differentiates relational self-esteem from personal self-esteem.
Jiwen Li,Mei Zeng,Mingyan Liu,Xiaolin Zhao,Weiyu Hu,Chong Wang,Chijun Deng,Rong Li,Huafu Chen,Juan Yang +9 more
TL;DR: In this paper, a stable diagnostic signature of relational self-esteem relative to PSE was obtained by using multivariate pattern classification to differentiate RSE from PSE, and these diagnostic neural signatures were able to sensitively decode neural activities related to RSE in another independent test sample.