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本文引用的文献

1
Structural Network Disorganization in Subjects at Clinical High Risk for Psychosis.临床高危精神病患者的结构网络紊乱
Schizophr Bull. 2017 May 1;43(3):583-591. doi: 10.1093/schbul/sbw110.
2
Abnormal rich club organization and impaired correlation between structural and functional connectivity in migraine sufferers.偏头痛患者异常的富俱乐部组织以及结构与功能连接之间的相关性受损。
Brain Imaging Behav. 2017 Apr;11(2):526-540. doi: 10.1007/s11682-016-9533-6.
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Graph Metrics of Structural Brain Networks in Individuals with Schizophrenia and Healthy Controls: Group Differences, Relationships with Intelligence, and Genetics.精神分裂症患者与健康对照者脑结构网络的图谱指标:组间差异、与智力的关系及遗传学
J Int Neuropsychol Soc. 2016 Feb;22(2):240-9. doi: 10.1017/S1355617715000867.
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Brain structure and function correlates of cognitive subtypes in schizophrenia.精神分裂症认知亚型的脑结构与功能相关性
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Compromised small-world efficiency of structural brain networks in schizophrenic patients and their unaffected parents.精神分裂症患者及其未患病父母的大脑结构网络小世界效率受损。
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Meta-analysis of cognitive performance in drug-naïve patients with schizophrenia.未使用过药物的精神分裂症患者认知功能的荟萃分析。
Schizophr Res. 2014 Sep;158(1-3):156-62. doi: 10.1016/j.schres.2014.06.034. Epub 2014 Jul 30.
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Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: a report from the Cognitive Genomics consorTium (COGENT).分子遗传学证据表明一般认知能力与精神分裂症风险之间存在重叠:来自认知基因组学联盟(COGENT)的报告。
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精神分裂症患者及其未患病父母中异常的富俱乐部组织与认知功能受损有关。

Abnormal Rich-Club Organization Associated with Compromised Cognitive Function in Patients with Schizophrenia and Their Unaffected Parents.

作者信息

Zhao Xin, Tian Lin, Yan Jun, Yue Weihua, Yan Hao, Zhang Dai

机构信息

Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China.

National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health (Ministry of Health), Peking University, Beijing, 100191, China.

出版信息

Neurosci Bull. 2017 Aug;33(4):445-454. doi: 10.1007/s12264-017-0151-0. Epub 2017 Jun 23.

DOI:10.1007/s12264-017-0151-0
PMID:28646350
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5567565/
Abstract

Schizophrenia is considered to be a disorder of brain connectivity, which might result from a disproportionally impaired rich-club organization. The rich-club is composed of highly interconnected hub regions that play crucial roles in integrating information between different brain regions. Few studies have yet investigated whether the structural rich-club organization is impaired in patients and their first-degree relatives. In this study, we established a weighted network model of white matter connections using diffusion tensor imaging of 19 patients and 39 unaffected parents, 22 young healthy controls for the patients, and 25 old healthy controls for the parents. Feeder edges between rich-club nodes and non-rich-club nodes were significantly decreased in both schizophrenic patients and their unaffected parents compared with controls. Furthermore, the feeder edges showed significant positive correlations with the scores in Category Fluency Test-animal naming in the unaffected parents. Specific feeder edges exhibited discriminative power with accuracy of 84.4% in distinguishing unaffected parents from old healthy controls. Our findings suggest that impaired rich-club organization, especially impaired feeder edges, may be related to familial vulnerability to schizophrenia, possibly reflecting a genetic predisposition for schizophrenia.

摘要

精神分裂症被认为是一种大脑连接障碍,这可能是由于富俱乐部组织受损比例失调所致。富俱乐部由高度互联的枢纽区域组成,这些区域在整合不同脑区之间的信息方面起着关键作用。很少有研究调查患者及其一级亲属的结构性富俱乐部组织是否受损。在本研究中,我们使用扩散张量成像为19名患者和39名未患病的父母、22名年轻健康对照者(针对患者)以及25名老年健康对照者(针对父母)建立了白质连接的加权网络模型。与对照组相比,精神分裂症患者及其未患病的父母中,富俱乐部节点与非富俱乐部节点之间的馈线边均显著减少。此外,在未患病的父母中,馈线边与动物命名类别流畅性测试的得分呈显著正相关。特定的馈线边在区分未患病的父母与老年健康对照者时具有判别能力,准确率为84.4%。我们的研究结果表明,富俱乐部组织受损,尤其是馈线边受损,可能与精神分裂症的家族易感性有关,这可能反映了精神分裂症的遗传易感性。