Brain-Wide Functional Dysconnectivity in Schizophrenia: Parsing Diathesis, Resilience, and the Effects of Clinical Expression

Shuixia Guo, Ningning He, Zhening Liu, Z. Linli, H. Tao, L. Palaniyappan
{"title":"Brain-Wide Functional Dysconnectivity in Schizophrenia: Parsing Diathesis, Resilience, and the Effects of Clinical Expression","authors":"Shuixia Guo, Ningning He, Zhening Liu, Z. Linli, H. Tao, L. Palaniyappan","doi":"10.1177/0706743719890174","DOIUrl":null,"url":null,"abstract":"Background: The functional dysconnectivity observed from functional magnetic resonance imaging (fMRI) studies in schizophrenia is also seen in unaffected siblings indicating its association with the genetic diathesis. We intended to apportion resting-state dysconnectivity into components that represent genetic diathesis, clinical expression or treatment effect, and resilience. Methods: fMRI data were acquired from 28 schizophrenia patients, 28 unaffected siblings, and 60 healthy controls. Based on Dosenbach’s atlas, we extracted time series of 160 regions of interest. After constructing functional network, we investigated between-group differences in strength and diversity of functional connectivity and topological properties of undirected graphs. Results: Using analysis of variance, we found 88 dysconnectivities. Post hoc t tests revealed that 62.5% were associated with genetic diathesis and 21.6% were associated with clinical expression. Topologically, we observed increased degree, clustering coefficient, and global efficiency in the sibling group compared to both patients and controls. Conclusion: A large portion of the resting-state functional dysconnectivity seen in patients represents a genetic diathesis effect. The most prominent network-level disruption is the dysconnectivity among nodes of the default mode and salience networks. Despite their predisposition, unaffected siblings show a pattern of resilience in the emergent connectomic topology. Our findings could potentially help refine imaging genetics approaches currently used in the pursuit of the pathophysiology of schizophrenia.","PeriodicalId":309115,"journal":{"name":"The Canadian Journal of Psychiatry","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Canadian Journal of Psychiatry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0706743719890174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Background: The functional dysconnectivity observed from functional magnetic resonance imaging (fMRI) studies in schizophrenia is also seen in unaffected siblings indicating its association with the genetic diathesis. We intended to apportion resting-state dysconnectivity into components that represent genetic diathesis, clinical expression or treatment effect, and resilience. Methods: fMRI data were acquired from 28 schizophrenia patients, 28 unaffected siblings, and 60 healthy controls. Based on Dosenbach’s atlas, we extracted time series of 160 regions of interest. After constructing functional network, we investigated between-group differences in strength and diversity of functional connectivity and topological properties of undirected graphs. Results: Using analysis of variance, we found 88 dysconnectivities. Post hoc t tests revealed that 62.5% were associated with genetic diathesis and 21.6% were associated with clinical expression. Topologically, we observed increased degree, clustering coefficient, and global efficiency in the sibling group compared to both patients and controls. Conclusion: A large portion of the resting-state functional dysconnectivity seen in patients represents a genetic diathesis effect. The most prominent network-level disruption is the dysconnectivity among nodes of the default mode and salience networks. Despite their predisposition, unaffected siblings show a pattern of resilience in the emergent connectomic topology. Our findings could potentially help refine imaging genetics approaches currently used in the pursuit of the pathophysiology of schizophrenia.
精神分裂症的全脑功能连接障碍:分析素质、恢复力和临床表现的影响
背景:从功能性磁共振成像(fMRI)研究中观察到的精神分裂症的功能连接障碍也在未受影响的兄弟姐妹中发现,表明其与遗传素质有关。我们打算将静息状态连接障碍划分为代表遗传素质、临床表现或治疗效果和恢复力的成分。方法:获得28例精神分裂症患者、28例未受影响的兄弟姐妹和60例健康对照的fMRI数据。基于Dosenbach的地图集,我们提取了160个感兴趣区域的时间序列。在构建功能网络后,我们研究了无向图的功能连通性的强度和多样性以及拓扑性质的组间差异。结果:通过方差分析,我们发现了88个连接异常。事后t检验显示,62.5%与遗传素质相关,21.6%与临床表达相关。从拓扑结构上看,我们观察到与患者和对照组相比,兄弟姐妹组的程度、聚类系数和总体效率都有所增加。结论:患者静息状态功能连接障碍的很大一部分代表了遗传素质的影响。最突出的网络级中断是默认模式和突出网络节点之间的不连接。尽管他们有这种倾向,但未受影响的兄弟姐妹在新兴的连接体拓扑结构中表现出一种弹性模式。我们的发现可能有助于改进目前用于精神分裂症病理生理学研究的成像遗传学方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信