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Disrupted small-world networks in schizophrenia

文献类型:期刊论文

作者Liu, Yong1; Liang, Meng1,2; Zhou, Yuan1; He, Yong1,3; Hao, Yihui4; Song, Ming1; Yu, Chunshui5; Liu, Haihong4; Liu, Zhening4; Jiang, Tianzi1
刊名BRAIN
出版日期2008-04-01
卷号131期号:1页码:945-961
关键词efficient small-world brain functional networks functional connectivity resting-state fMRI schizophrenia
通讯作者Jiang T
英文摘要The human brain has been described as a large, sparse, complex network characterized by efficient small-world properties, which assure that the brain generates and integrates information with high efficiency. Many previous neuroimaging studies have provided consistent evidence of dysfunctional connectivity among the brain regions in schizophrenia; however, little is known about whether or not this dysfunctional connectivity causes disruption of the topological properties of brain functional networks. To this end, we investigated the topological properties of human brain functional networks derived from resting-state functional magnetic resonance imaging (fMRI). Data was obtained from 31 schizophrenia patients and 31 healthy subjects; then functional connectivity between 90 cortical and sub-cortical regions was estimated by partial correlation analysis and thresholded to construct a set of undirected graphs. Our findings demonstrated that the brain functional networks had efficient small-world properties in the healthy subjects; whereas these properties were disrupted in the patients with schizophrenia. Brain functional networks have efficient small-world properties which support efficient parallel information transfer at a relatively low cost. More importantly, in patients with schizophrenia the small-world topological properties are significantly altered in many brain regions in the prefrontal, parietal and temporal lobes. These findings are consistent with a hypothesis of dysfunctional integration of the brain in this illness. Specifically, we found that these altered topological measurements correlate with illness duration in schizophrenia. Detection and estimation of these alterations could prove helpful for understanding the pathophysiological mechanism as well as for evaluation of the severity of schizophrenia.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Clinical Neurology ; Neurosciences
研究领域[WOS]Neurosciences & Neurology
关键词[WOS]RESTING-STATE FMRI ; FUNCTIONAL CONNECTIVITY ; HUMAN BRAIN ; 1ST-EPISODE SCHIZOPHRENIA ; ATTENTIONAL MODULATION ; COGNITIVE DYSMETRIA ; ALZHEIMERS-DISEASE ; PREFRONTAL CORTEX ; COMPLEX NETWORKS ; WORKING-MEMORY
收录类别SCI
语种英语
WOS记录号WOS:000254682300008
源URL[http://ir.ia.ac.cn/handle/173211/9534]  
专题自动化研究所_09年以前成果
通讯作者Jiang T
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Univ Oxford, Dept Physiol Anat & Genet, Oxford OX1 3QX, England
3.McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ H3A 2B4, Canada
4.Cent S Univ, Xiangya Hosp 2, Inst Mental Hlth, Changsha 410011, Hunan, Peoples R China
5.Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing 100053, Peoples R China
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GB/T 7714
Liu, Yong,Liang, Meng,Zhou, Yuan,et al. Disrupted small-world networks in schizophrenia[J]. BRAIN,2008,131(1):945-961.
APA Liu, Yong.,Liang, Meng.,Zhou, Yuan.,He, Yong.,Hao, Yihui.,...&Jiang T.(2008).Disrupted small-world networks in schizophrenia.BRAIN,131(1),945-961.
MLA Liu, Yong,et al."Disrupted small-world networks in schizophrenia".BRAIN 131.1(2008):945-961.

入库方式: OAI收割

来源:自动化研究所

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