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.
read more
Abstract: Relational self-esteem (RSE) refers to one's sense of self-worth based on the relationship with significant others, such as family and best friends. Although previous neuroimaging research has investigated the neural processes of RSE, it is less clear how RSE is represented in multivariable neural patterns. Being able to identify a stable RSE signature could contribute to knowledge about relational self-worth. Here, using multivariate pattern classification to differentiate RSE from personal self-esteem (PSE), which pertains to self-worth derived from personal attributes, we obtained a stable diagnostic signature of RSE relative to PSE. We found that multivariable neural activities in the superior/middle temporal gyrus, precuneus, posterior cingulate cortex, dorsal medial Prefrontal Cortex (dmPFC) and temporo-parietal junction were responsible for diagnosis of RSE, suggesting that the evaluation of RSE involves the retrieval of relational episodic memory, perspective-taking and value calculation. Further, these diagnostic neural signatures were able to sensitively decode neural activities related to RSE in another independent test sample, indicating the reliability of the brain state represented. By providing a reliable multivariate brain pattern for RSE relative to PSE, our results informed more cognitively prominent processing of RSE than that of PSE and enriched our knowledge about how relational self-worth is generated in the brain.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Identifying the Shared and Dissociable Neural Bases between Self-Worth and Moral Ambivalence
Jiwen Li,Xiaogang Wang,Tengfei Du,Jennifer Tang,Juan Yang +4 more
TL;DR: This study examines the neural bases of self-worth and moral ambivalence in 112 college students, finding associations with the superior parietal lobule, orbitofrontal cortex, and temporoparietal junction, involved in attention, value representation, and mentalizing.
1
Neural representation of collective self-esteem in resting-state functional connectivity and its validation in task-dependent modality
Guangtong Wang,Mei Zeng,Jiwen Li,Yadong Liu,Dongtao Wei,Zhiliang Long,Haopeng Chen,Xinlei Zang,Juan Yang +8 more
TL;DR: CSE neural basis in the whole-brain RSFC network is revealed, and the concordance between leverage centrality and the activation pattern of the identified regions in terms of representing CSE is established.
1
References
If neuroimaging is the answer, what is the question?
TL;DR: A taxonomy of types of questions that can be easily addressed by neuroimaging techniques, focusing on how information processing is implemented in the brain, and on how processing changes in different circumstances is developed.
Wavelet time-frequency analysis and least squares support vector machines for the identification of voice disorders
Everthon Silva Fonseca,Rodrigo Capobianco Guido,Paulo Rogério Scalassara,Carlos Dias Maciel,José Carlos Pereira +4 more
TL;DR: This work describes a novel algorithm to identify laryngeal pathologies, by the digital analysis of the voice, based on Daubechies' discrete wavelet transform, linear prediction coefficients, and least squares support vector machines.
Neuroimaging self-esteem: a fMRI study of individual differences in women
TL;DR: Responses within dorsal and ventral medial prefrontal cortex, cingulate cortex and left temporoparietal cortex varied with individual differences in both pre-task rated self-descriptiveness of the words, as well as task-induced affective responses.
Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses?
TL;DR: It was found that smoothing does not decrease the sensitivity of multivariate analyses, which contradicts the idea that the patterns detected with multivariate techniques reflect a fine-scale spatial organization.
Hemisphere- and gender-related differences in small-world brain networks: a resting-state functional MRI study.
TL;DR: The results suggest that the topological organization of human brain functional networks is associated with gender and hemispheres, and they provide insights into the understanding of functional substrates underlying individual differences in behaviors and cognition.