PSYCH OpenIR  > 中国科学院心理研究所回溯数据库(1956-2010)
Schizophrenia patients and their unaffected siblings share increased resting-state connectivity in the task-negative network but not its anticorrelated task-posiitve network
Haihong Liu; Yoshio Kaneko; Xuan Ouyang; Li Li; Yihui Hao; Eric YH Chen; Tianzi Jiang; Yuan Zhou; Zhening Liu
2010
Source PublicationSchizophrenia Bulletin
AbstractBackground: Abnormal connectivity of the anticorrelated intrinsic networks, the task-negative network (TNN), and the task-positive network (TPN) is implicated in schizophrenia. Comparisons between schizophrenic patients and their unaffected siblings enable further understanding of illness susceptibility and pathophysiology. We examined the resting-state connectivity differences in the intrinsic networks between schizophrenic patients, their unaffected siblings, and healthy controls. Methods: Resting-state functional magnetic resonance images were obtained from 25 individuals in each subject group. The posterior cingulate cortex/precuneus and right dorsolateral prefrontal cortex were used as seed regions to identify the TNN and TPN through functional connectivity analysis. Interregional connectivity strengths were analyzed using overlapped intrinsic networks composed of regions common to all subject groups. Results: Schizophrenic patients and their unaffected siblings showed increased connectivity in the TNN between the bilateral inferior temporal gyri. By contrast, schizophrenic patients alone demonstrated increased connectivity between the posterior cingulate cortex/precuneus and left inferior temporal gyrus and between the ventral medial prefrontal cortex and right lateral parietal cortex in the TNN. Schizophrenic patients exhibited increased connectivity between the left dorsolateral prefrontal cortex and right inferior frontal gyrus in the TPN relative to their unaffected siblings, though this trend only approached statistical significance in comparison to healthy controls. Conclusion: Resting-state hyperconnectivity of the intrinsic networks may disrupt network coordination and thereby contribute to the pathophysiology of schizophrenia. Similar, though milder, hyperconnectivity of the TNN in unaffected siblings of schizophrenic patients may contribute to the identification of schizophrenia endophenotypes and ultimately to the determination of schizophrenia risk genes.
Keywordschizophrenia unaffected sibling defaultmode network functional connectivity resting-state
Subject Area医学心理学
Indexed BySCI
Language英语
Funding Project三室李纾课题组
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/7305
Collection中国科学院心理研究所回溯数据库(1956-2010)
Corresponding AuthorZhening Liu
Recommended Citation
GB/T 7714
Haihong Liu,Yoshio Kaneko,Xuan Ouyang,et al. Schizophrenia patients and their unaffected siblings share increased resting-state connectivity in the task-negative network but not its anticorrelated task-posiitve network[J]. Schizophrenia Bulletin,2010.
APA Haihong Liu.,Yoshio Kaneko.,Xuan Ouyang.,Li Li.,Yihui Hao.,...&Zhening Liu.(2010).Schizophrenia patients and their unaffected siblings share increased resting-state connectivity in the task-negative network but not its anticorrelated task-posiitve network.Schizophrenia Bulletin.
MLA Haihong Liu,et al."Schizophrenia patients and their unaffected siblings share increased resting-state connectivity in the task-negative network but not its anticorrelated task-posiitve network".Schizophrenia Bulletin (2010).
Files in This Item:
File Name/Size DocType Version Access License
20101124055224LiuHH_(307KB) 限制开放--View Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Haihong Liu]'s Articles
[Yoshio Kaneko]'s Articles
[Xuan Ouyang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Haihong Liu]'s Articles
[Yoshio Kaneko]'s Articles
[Xuan Ouyang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Haihong Liu]'s Articles
[Yoshio Kaneko]'s Articles
[Xuan Ouyang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 20101124055224LiuHH_Zhou_SB2010.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

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