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Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach
Du, Yuhui1,2,3; Pearlson, Godfrey D.4,5,6; Yu, Qingbao1,2; He, Hao1,2,7; Lin, Dongdong1,2; Sui, Jing1,2,8,9; Wu, Lei1,2; Calhoun, Vince D.1,2,4,7
2016
发表期刊SCHIZOPHRENIA RESEARCH
卷号170期号:1页码:55-65
文章类型Article
摘要Default mode network (DMN) has been reported altered in schizophrenia (SZ) using static connectivity analysis. However, the studies on dynamic characteristics of DMN in SZ are still limited. In this work, we compare dynamic connectivity within DMN between 82 healthy controls (HC) and 82 SZ patients using resting-state fMRI. Firstly, dynamic DMN was computed using a sliding time window method for each subject. Then, the overall connectivity strengths were compared between two groups. Furthermore, we estimated functional connectivity states using K-means clustering, and then investigated group differences with respect to the connectivity strengths in states, the dwell time in each state, and the transition times between states. Finally, graph metrics of time-varying connectivity patterns and connectivity states were assessed. Results suggest that measured by the overall connectivity, HC showed stronger inter-subsystem interaction than patients. Compared to HC, patients spent more time in the states with nodes sparsely connected. For each state, SZ patients presented relatively weaker connectivity strengths mainly in inter-subsystem. Patients also exhibited lower values in averaged node strength, clustering coefficient, global efficiency, and local efficiency than HC. In summary, our findings indicate that SZ show impaired interaction among DMN subsystems, with a reduced central role for posterior cingulate cortex (PCC) and anterior medial prefrontal cortex (aMPFC) hubs as well as weaker interaction between dorsal medial prefrontal cortex (dMPFC) subsystem and medial temporal lobe (MTL) subsystem. For SZ, decreased integration of DMN may be associated with impaired ability in making self-other distinctions and coordinating present mental states with episodic decisions about future. (C) 2015 Elsevier B.V. All rights reserved.
关键词Dynamic Functional Connectivity Default Mode Network Fmri Schizophrenia Connectivity States
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.schres.2015.11.021
关键词[WOS]PSYCHOTIC BIPOLAR DISORDER ; TIME-VARYING CONNECTIVITY ; STATE BRAIN NETWORKS ; FUNCTIONAL CONNECTIVITY ; RESTING-STATE ; COGNITIVE NEUROSCIENCE ; FMRI ; DISEASE ; DYSCONNECTIVITY ; HYPOTHESIS
收录类别SCI ; SSCI
语种英语
项目资助者National Institutes of Health(R01EB006841) ; National Sciences Foundation(1016619) ; Centers of Biomedical Research Excellence (COBRE)(5P20RR021938/P20GM103472)
WOS研究方向Psychiatry
WOS类目Psychiatry
WOS记录号WOS:000367535500006
引用统计
被引频次:35[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/10657
专题脑网络组研究中心
作者单位1.Mind Res Network, Albuquerque, NM 87106 USA
2.LBERI, Albuquerque, NM USA
3.North Univ China, Sch Informat & Commun Engn, Taiyuan, Peoples R China
4.Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
5.Yale Univ, Dept Neurobiol, New Haven, CT 06520 USA
6.Inst Living, Olin Neuropsychiat Res Ctr, Hartford, CT USA
7.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
8.Chinese Acad Sci, Brainnetome Ctr, Beijing, Peoples R China
9.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
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GB/T 7714
Du, Yuhui,Pearlson, Godfrey D.,Yu, Qingbao,et al. Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach[J]. SCHIZOPHRENIA RESEARCH,2016,170(1):55-65.
APA Du, Yuhui.,Pearlson, Godfrey D..,Yu, Qingbao.,He, Hao.,Lin, Dongdong.,...&Calhoun, Vince D..(2016).Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach.SCHIZOPHRENIA RESEARCH,170(1),55-65.
MLA Du, Yuhui,et al."Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach".SCHIZOPHRENIA RESEARCH 170.1(2016):55-65.
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