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Detection of dynamic brain networks modulated by acupuncture using a graph theory model

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机构: [1]Xidian Univ, Sch Elect Engn, Life Sci Res Ctr, Xian 710071, Peoples R China; [2]Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100080, Peoples R China; [3]Capital Univ Med Sci, Beijing Tiantan Hosp, Dept Radiol, Beijing 100050, Peoples R China
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关键词: Acupuncture Brain network Graph theory model Functional magnetic resonance imaging (fMRI)

摘要:
Neuroimaging studies involving acute acupuncture manipulation have already demonstrated significant modulatory effects on wide limbic/paralimbic nuclei, subcortical gray structures and the neocortical system of the brain. Due to the sustained effect of acupuncture, however, knowledge on the organization of such large-scale cortical networks behind the active needle stimulation phase is lacking. In this study, we originally adopted a network model analysis from graph theory to evaluate the functional connectivity among multiple brain regions during the post-stimulus phase. Evidence from our findings clearly supported the existence of a large organized functional connectivity network related to acupuncture function in the resting brain. More importantly, acupuncture can change such a network into a functional state underlying both pain perception and modulation, which is exhibited by significant changes in the functional connectivity of some brain regions. This analysis may help us to better understand the long-lasting effects of acupuncture on brain function, as well as the potential benefits of clinical treatments. (C) 2009 National Natural Science Foundation of China and Chinese Academy of Sciences. Published by Elsevier Limited and Science in China Press. All rights reserved.

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出版当年[2008]版:
大类 | 4 区 综合性期刊
小类 | 4 区 综合性期刊
最新[2023]版:
大类 | 2 区 材料科学
小类 | 3 区 材料科学:综合
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出版当年[2007]版:
Q3 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

影响因子: 最新[2023版] 最新五年平均 出版当年[2007版] 出版当年五年平均 出版前一年[2006版] 出版后一年[2008版]

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第一作者机构: [1]Xidian Univ, Sch Elect Engn, Life Sci Res Ctr, Xian 710071, Peoples R China;
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通讯机构: [1]Xidian Univ, Sch Elect Engn, Life Sci Res Ctr, Xian 710071, Peoples R China; [2]Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100080, Peoples R China;
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