PSYCH OpenIR  > 健康与遗传心理学研究室
Focusing on the Differences of Resting-State Brain Networks, Using a Data-Driven Approach to Explore the Functional Neuroimaging Characteristics of Extraversion Trait
Tian, Feng1; Wang, Junjie2; Xu, Cheng3; Li, Hong4; Ma, Xin5; Xin Ma
2018-03-05
Source PublicationFRONTIERS IN NEUROSCIENCE
Correspondent Emailmaxinanding@vip.163.com
ISSN1662-453X
SubtypeArticle
Volume12Pages:1-8
Contribution Rank5
Abstract

In recent years, functional magnetic resonance imaging (fMRI) has been widely used in studies that explored the personality-brain association. Researches on personality neuroscience have the potential to provide personality psychology with explanatory models that is, why people differ from each other rather than how they differ from each other (DeYoung and Gray, 2009). As one of the most important dimensions of personality traits, extraversion is the most stable core and a universal component in personality theory. The aim of the present study was to employ a fully data-driven approach to study the brain mechanism of extraversion in a sample of 111 healthy adults. The Eysenck Personality Questionnaire (EPQ) was used to measure the personality characteristics of all the subjects. We investigated whether the subjects can be grouped into highly homogeneous communities according to the characteristics of their intrinsic connectivity networks (ICNs). The resultant subjects communities and the representative characteristics of ICNs were then associated to personality concepts. Finally, we found one ICN (salience network) whose subject community profiles exhibited significant associations with Extraversion trait.

Keywordpersonality traits resting-state fMRI data-driven salience network extraversion trait
DOI10.3389/fnins.2018.00109
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(81271482 ; National key research and development program(2016YFC1307004) ; 81571319 ; 61402318)
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000426554600001
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordDOMAIN CRITERIA RDOC ; INTRINSIC CONNECTIVITY NETWORKS ; INDEPENDENT COMPONENT ANALYSIS ; CHILDHOOD-ONSET SCHIZOPHRENIA ; DEFAULT NETWORK ; NIMH RESEARCH ; PERSONALITY ; REPRODUCIBILITY ; PSYCHOSIS ; EMOTION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26038
Collection健康与遗传心理学研究室
Corresponding AuthorXin Ma
Affiliation1.Shanxi Med Univ, Hosp 2, Dept Psychiat, Taiyuan, Shanxi, Peoples R China
2.Shanxi Med Univ, Clnibai Med Coll 1, Dept Psychiat, Hosp 1, Taiyuan, Shanxi, Peoples R China
3.Shanxi Prov Peoples Hosp, Dept Magnet Resonance Imaging, Taiyuan, Peoples R China
4.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China
5.Capital Med Univ, Beijing Anding Hosp, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Tian, Feng,Wang, Junjie,Xu, Cheng,et al. Focusing on the Differences of Resting-State Brain Networks, Using a Data-Driven Approach to Explore the Functional Neuroimaging Characteristics of Extraversion Trait[J]. FRONTIERS IN NEUROSCIENCE,2018,12:1-8.
APA Tian, Feng,Wang, Junjie,Xu, Cheng,Li, Hong,Ma, Xin,&Xin Ma.(2018).Focusing on the Differences of Resting-State Brain Networks, Using a Data-Driven Approach to Explore the Functional Neuroimaging Characteristics of Extraversion Trait.FRONTIERS IN NEUROSCIENCE,12,1-8.
MLA Tian, Feng,et al."Focusing on the Differences of Resting-State Brain Networks, Using a Data-Driven Approach to Explore the Functional Neuroimaging Characteristics of Extraversion Trait".FRONTIERS IN NEUROSCIENCE 12(2018):1-8.
Files in This Item:
File Name/Size DocType Version Access License
Focusing on the Diff(1272KB)期刊论文作者接受稿限制开放CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tian, Feng]'s Articles
[Wang, Junjie]'s Articles
[Xu, Cheng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tian, Feng]'s Articles
[Wang, Junjie]'s Articles
[Xu, Cheng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tian, Feng]'s Articles
[Wang, Junjie]'s Articles
[Xu, Cheng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Focusing on the Differences of Resting-State Brain Networks, Using a Data-Driven Approach to Explore the Functional Neuroimaging Characteristics o.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.