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Revisiting the overlap between autistic and schizotypal traits in the non-clinical population using meta-analysis and network analysis
Zhou, Han-Yu1,2; Yang, Han-Xue1,2; Gong, Jing-Bo1,3; Cheung, Eric F. C.4; Gooding, Diane C.5,6; Park, Sohee7; Chan, Raymond C. K.1,2
First AuthorZhou, Han-Yu
2019-10-01
Source PublicationSCHIZOPHRENIA RESEARCH
Correspondent Emailrckchan@psych.ac.cn (r.c.k. chan)
ISSN0920-9964
SubtypeArticle
Volume212Pages:6-14
Contribution Rank1
Abstract

The present study aimed to explore the relationship between autistic and schizotypal traits in the non-clinical population. We first conducted a meta-analysis to quantify the correlation between self-reported autistic traits and the three dimensions of schizotypal traits (positive, negative and disorganization). The strongest correlation was found between autistic traits and negative schizotypal traits (r = 0.536, 95% CI [0.481, 0.586]), followed by the disorganization (r = 0.355, 95% CI [0.304, 0.404]) and positive (r = 0.256, 95% CI [0.208, 0.302]) dimensions. To visualize the partial correlations between dimensional behavioural traits, we constructed a network model based on a large sample of college students (N = 2469). Negative schizotypal traits were strongly correlated with autistic social/communicative deficits, whereas positive schizotypal traits were inversely correlated with autistic-like traits, lending support to the psychosis-autism diametrical model. Disentangling the overlapping and diametrical structure of autism and schizophrenia may help to elucidate the aetiology of these two neurodevelopmental disorders. (C) 2019 Elsevier B.V. All rights reserved.

KeywordSchizotypal traits Autistic traits Meta-analysis Network analysis
DOI10.1016/j.schres.2019.07.050
Indexed BySCI
Language英语
Funding OrganizationNational Key Research and Development Program ; Beijing Municipal Science and Technology Commission ; Beijing Training Project for the Leading Talents in Science and Technology ; China Postdoctoral Science Foundation ; CAS Key Laboratory of Mental Health, Institute of Psychology
Funding ProjectNational Key Research and Development Program[2016YFC0906402] ; Beijing Municipal Science and Technology Commission[Z161100000216138] ; Beijing Training Project for the Leading Talents in Science and Technology[Z151100000315020] ; China Postdoctoral Science Foundation[2016M591278] ; CAS Key Laboratory of Mental Health, Institute of Psychology
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000489616900003
PublisherELSEVIER
WOS KeywordOXFORD-LIVERPOOL INVENTORY ; SPECTRUM QUOTIENT AQ ; PERSONALITY-TRAITS ; SOCIAL ANHEDONIA ; SCHIZOPHRENIA SPECTRUM ; NEGATIVE SCHIZOTYPY ; DISORDER ; SYMPTOMS ; ANXIETY ; MIND
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/30159
Collection中国科学院心理健康重点实验室
Corresponding AuthorChan, Raymond C. K.
Affiliation1.Inst Psychol, Neuropsychol & Appl Cognit Neurosci Lab, CAS Key Lab Mental Hlth, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
3.Hunan Univ Chinese Med, Dept Appl Psychol, Changsha, Hunan, Peoples R China
4.Castle Peak Hosp, Hong Kong, Peoples R China
5.Univ Wisconsin Madison, Dept Psychol, Madison, WI USA
6.Univ Wisconsin Madison, Dept Psychiat, Madison, WI USA
7.Vanderbilt Univ, Dept Psychol, Nashville, TN 37240 USA
Recommended Citation
GB/T 7714
Zhou, Han-Yu,Yang, Han-Xue,Gong, Jing-Bo,et al. Revisiting the overlap between autistic and schizotypal traits in the non-clinical population using meta-analysis and network analysis[J]. SCHIZOPHRENIA RESEARCH,2019,212:6-14.
APA Zhou, Han-Yu.,Yang, Han-Xue.,Gong, Jing-Bo.,Cheung, Eric F. C..,Gooding, Diane C..,...&Chan, Raymond C. K..(2019).Revisiting the overlap between autistic and schizotypal traits in the non-clinical population using meta-analysis and network analysis.SCHIZOPHRENIA RESEARCH,212,6-14.
MLA Zhou, Han-Yu,et al."Revisiting the overlap between autistic and schizotypal traits in the non-clinical population using meta-analysis and network analysis".SCHIZOPHRENIA RESEARCH 212(2019):6-14.
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