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Disrupted small-world networks in schizophrenia.

Disrupted small-world networks in schizophrenia. Research Abstract Details 

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  • Disrupted small-world networks in schizophrenia. Abstract Text:

    yong liuYong Liu,meng liangMeng Liang,yuan zhouYuan Zhou,yong heYong He,yihui haoYihui Hao,ming songMing Song,chunshui yuChunshui Yu,haihong liuHaihong Liu,zhening liuZhening Liu,tianzi jiangTianzi Jiang,yong liuYong Liu,meng liangMeng Liang,yuan zhouYuan Zhou,yong heYong He,yihui haoYihui Hao,ming songMing Song,chunshui yuChunshui Yu,haihong liuHaihong Liu,zhening liuZhening Liu,tianzi jiangTianzi Jiang,

    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.

    Disrupted small-world networks in schizophrenia. Publishing Authors By Initials

    y liuY Liu,m liangM Liang,y zhouY Zhou,y heY He,y haoY Hao,m songM Song,c yuC Yu,h liuH Liu,z liuZ Liu,t jiangT Jiang,y liuY Liu,m liangM Liang,y zhouY Zhou,y heY He,y haoY Hao,m songM Song,c yuC Yu,h liuH Liu,z liuZ Liu,t jiangT Jiang,

    For similar abstracts research abstracts see: abstracts research

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    Disrupted small-world networks in schizophrenia. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Brain : a journal of neurology

    VOLUME: 131

    Page Numbers: 945-61

    Journal Abbreviation:

    ISSN: 1460-2156

    DAY: 25

    MONTH: 02

    YEAR: 2008

    Disrupted small-world networks in schizophrenia. Information

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    LANGUAGE: eng

    NlmUniqueID: 372537

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    Country: England

    England Research PublicationEngland Research Publication

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    MEDLINETA: Brain

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