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Prediction of trust propensity from intrinsic brain morphology and functional connectome
Feng, Chunliang1,2,3; Zhu, Zhiyuan4,5; Cui, Zaixu6; Ushakov, Vadim7,8; Dreher, Jean-Claude9; Luo, Wenbo10; Gu, Ruolei11,12; Wu, Xia4,5; Krueger, Frank13,14
First AuthorFeng, Chunliang
Correspondent Emailchunliang.feng@m.scnu.edu.cn (chunliang feng)
Abstract

Trust forms the basis of virtually all interpersonal relationships. Although significant individual differences characterize trust, the driving neuropsychological signatures behind its heterogeneity remain obscure. Here, we applied a prediction framework in two independent samples of healthy participants to examine the relationship between trust propensity and multimodal brain measures. Our multivariate prediction analyses revealed that trust propensity was predicted by gray matter volume and node strength across multiple regions. The gray matter volume of identified regions further enabled the classification of individuals from an independent sample with the propensity to trust or distrust. Our modular and functional decoding analyses showed that the contributing regions were part of three large-scale networks implicated in calculus-based trust strategy, cost-benefit calculation, and trustworthiness inference. These findings do not only deepen our neuropsychological understanding of individual differences in trust propensity, but also provide potential biomarkers in predicting trust impairment in neuropsychiatric disorders.

Keywordfunctional decoding gray matter individualized prediction large-scale brain networks trust propensity
2020-10-01
Language英语
DOI10.1002/hbm.25215
Source PublicationHUMAN BRAIN MAPPING
ISSN1065-9471
Pages17
Subtype实证研究
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China[31900757 61876021 32020103008] ; Fundamental Research Funds for the Central Universities[2017EYT36] ; Russian Science Foundation[18-11-00336]
PublisherWILEY
WOS KeywordMEDIAL PREFRONTAL CORTEX ; FINGER COUNTING HABITS ; EMOTION REGULATION ; LINEAR-MODELS ; CONNECTIVITY ; NETWORK ; RECIPROCITY ; THICKNESS ; BEHAVIOR ; NUMBERS
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000573893100001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/32927
Collection中国科学院行为科学重点实验室
Corresponding AuthorFeng, Chunliang; Wu, Xia
Affiliation1.South China Normal Univ, Minist Educ, Key Lab Brain Cognit & Educ Sci, Guangzhou, Peoples R China
2.South China Normal Univ, Ctr Studies Psychol Applicat, Sch Psychol, Guangzhou, Peoples R China
3.South China Normal Univ, Guangdong Key Lab Mental Hlth & Cognit Sci, Guangzhou, Peoples R China
4.Beijing Normal Univ, Sch Artificial Intelligence, Beijing, Peoples R China
5.Beijing Normal Univ, Minist Educ, Engn Res Ctr Intelligent Technol & Educ Applicat, Beijing, Peoples R China
6.Univ Penn, Dept Psychiat, Perelman Sch Med, Philadelphia, PA 19104 USA
7.Kurchatov Inst, Natl Res Ctr, Moscow, Russia
8.Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Moscow, Russia
9.CNRS, Inst Sci Cognit Marc Jeannerod, Neuroecon Reward & Decis Making Lab, Bron, France
10.Liaoning Normal Univ, Res Ctr Brain & Cognit Neurosci, Dalian, Peoples R China
11.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China
12.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
13.George Mason Univ, Sch Syst Biol, Fairfax, VA 22030 USA
14.George Mason Univ, Dept Psychol, Fairfax, VA 22030 USA
Recommended Citation
GB/T 7714
Feng, Chunliang,Zhu, Zhiyuan,Cui, Zaixu,et al. Prediction of trust propensity from intrinsic brain morphology and functional connectome[J]. HUMAN BRAIN MAPPING,2020:17.
APA Feng, Chunliang.,Zhu, Zhiyuan.,Cui, Zaixu.,Ushakov, Vadim.,Dreher, Jean-Claude.,...&Krueger, Frank.(2020).Prediction of trust propensity from intrinsic brain morphology and functional connectome.HUMAN BRAIN MAPPING,17.
MLA Feng, Chunliang,et al."Prediction of trust propensity from intrinsic brain morphology and functional connectome".HUMAN BRAIN MAPPING (2020):17.
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