State-related functional integration and functional segregation brain networks in schizophrenia
Yu, Qingbao1; Sui, Jing1,7,8; Kiehl, Kent A.1,2; Pearlson, Godfrey3,4,5; Calhoun, Vince D.1,3,4,6
刊名SCHIZOPHRENIA RESEARCH
2013-11-01
卷号150期号:2-3页码:450-458
关键词Brain graph Brain state Integration Segregation Schizophrenia ICA
英文摘要Altered topological properties of brain connectivity networks have emerged as important features of schizophrenia. The aim of this study was to investigate how the state-related modulations to graph measures of functional integration and functional segregation brain networks are disrupted in schizophrenia. Firstly, resting state and auditory oddball discrimination (AOD) fMRI data of healthy controls (HCs) and schizophrenia patients (SZs) were decomposed into spatially independent components (ICs) by group independent component analysis (ICA). Then, weighted positive and negative functional integration (inter-component networks) and functional segregation (intra-component networks) brain networks were built in each subject. Subsequently, connectivity strength, clustering coefficient, and global efficiency of all brain networks were statistically compared between groups (HCs and SZs) in each state and between states (rest and AOD) within group. We found that graph measures of negative functional integration brain network and several positive functional segregation brain networks were altered in schizophrenia during AOD task. The metrics of positive functional integration brain network and one positive functional segregation brain network were higher during the resting state than during the AOD task only in HCs. These findings imply that state-related characteristics of both functional integration and functional segregation brain networks are impaired in schizophrenia which provides new insight into the altered brain performance in this brain disorder. (C) 2013 Elsevier B. V. All rights reserved.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Psychiatry
研究领域[WOS]Psychiatry
关键词[WOS]INDEPENDENT COMPONENT ANALYSIS ; SMALL-WORLD NETWORKS ; FMRI DATA ; DEFAULT-MODE ; CONNECTIVITY NETWORKS ; BLIND SEPARATION ; BIPOLAR DISORDER ; DARK ENERGY ; GROUP PICA ; MRI DATA
收录类别SCI ; SSCI
语种英语
WOS记录号WOS:000326180700022
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/3225]  
专题自动化研究所_脑网络组研究中心
作者单位1.Mind Res Network, Albuquerque, NM 87106 USA
2.Univ New Mexico, Dept Psychol, Albuquerque, NM 87106 USA
3.Olin Neuropsychiat Res Ctr, Hartford, CT 06106 USA
4.Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
5.Yale Univ, Dept Neurobiol, New Haven, CT 06520 USA
6.Univ New Mexico, Dept ECE, Albuquerque, NM 87106 USA
7.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China
8.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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GB/T 7714
Yu, Qingbao,Sui, Jing,Kiehl, Kent A.,et al. State-related functional integration and functional segregation brain networks in schizophrenia[J]. SCHIZOPHRENIA RESEARCH,2013,150(2-3):450-458.
APA Yu, Qingbao,Sui, Jing,Kiehl, Kent A.,Pearlson, Godfrey,&Calhoun, Vince D..(2013).State-related functional integration and functional segregation brain networks in schizophrenia.SCHIZOPHRENIA RESEARCH,150(2-3),450-458.
MLA Yu, Qingbao,et al."State-related functional integration and functional segregation brain networks in schizophrenia".SCHIZOPHRENIA RESEARCH 150.2-3(2013):450-458.
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