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

	Detection of dynamic brain networks modulated by acupuncture using a graph theory model
	Bai, Lijun 1; Qin, Wei 1; Tian, Jie 1,2; Dai, Jianping 3; Yang, Wanhai 1
发表期刊	PROGRESS IN NATURAL SCIENCE
	2009-07-10
卷号	19 期号:7 页码:827-835
文章类型	Article
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.
关键词	Acupuncture Brain Network Graph Theory Model Functional Magnetic Resonance Imaging (Fmri)
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FUNCTIONAL CONNECTIVITY ; MORPHINE-ANALGESIA ; RESTING-STATE ; FMRI ; ELECTROACUPUNCTURE ; STIMULATION ; NUCLEUS ; PAIN ; BEHAVIOR ; PATHWAY
收录类别	SCI
语种	英语
WOS研究方向	Materials Science ; Science & Technology - Other Topics
WOS类目	Materials Science, Multidisciplinary ; Multidisciplinary Sciences
WOS记录号	WOS:000266345100006
引用统计	被引频次：33[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/173211/3923
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
作者单位	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
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Bai, Lijun,Qin, Wei,Tian, Jie,et al. Detection of dynamic brain networks modulated by acupuncture using a graph theory model[J]. PROGRESS IN NATURAL SCIENCE,2009,19(7):827-835.
APA	Bai, Lijun,Qin, Wei,Tian, Jie,Dai, Jianping,&Yang, Wanhai.(2009).Detection of dynamic brain networks modulated by acupuncture using a graph theory model.PROGRESS IN NATURAL SCIENCE,19(7),827-835.
MLA	Bai, Lijun,et al."Detection of dynamic brain networks modulated by acupuncture using a graph theory model".PROGRESS IN NATURAL SCIENCE 19.7(2009):827-835.

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