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重新审视非临床人群中自闭症和精神分裂症特质之间的重叠:荟萃分析和网络分析。

Revisiting the overlap between autistic and schizotypal traits in the non-clinical population using meta-analysis and network analysis.

机构信息

Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.

Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China; Department of Applied Psychology, Hunan University of Chinese Medicine, Changsha, China.

出版信息

Schizophr Res. 2019 Oct;212:6-14. doi: 10.1016/j.schres.2019.07.050. Epub 2019 Aug 3.

DOI:10.1016/j.schres.2019.07.050
PMID:31387828
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.

摘要

本研究旨在探索非临床人群中自闭症和精神分裂症特质之间的关系。我们首先进行了一项荟萃分析,以量化自报告的自闭症特质与精神分裂症特质的三个维度(阳性、阴性和紊乱)之间的相关性。自闭症特质与阴性精神分裂症特质之间的相关性最强(r=0.536,95%置信区间 [0.481,0.586]),其次是紊乱(r=0.355,95%置信区间 [0.304,0.404])和阳性(r=0.256,95%置信区间 [0.208,0.302])维度。为了可视化维度行为特征之间的部分相关性,我们基于大量大学生样本(N=2469)构建了一个网络模型。阴性精神分裂症特质与自闭症社交/沟通缺陷密切相关,而阳性精神分裂症特质与自闭症样特质呈负相关,支持精神病-自闭症对立模型。厘清自闭症和精神分裂症的重叠和对立结构可能有助于阐明这两种神经发育障碍的病因。

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