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.
基金:
National Key Basic Research and Development ProgramNational Basic Research Program of China [2006CB705700]; Changjiang Scholars and Innovative Research Team in University (PCSIRT)Program for Changjiang Scholars & Innovative Research Team in University (PCSIRT) [IRT0645]; Chair Professors of Cheung Kong Scholars Program; CAS Hundred Talents ProgramChinese Academy of Sciences; CAS Scientific Research Equipment Develop Program [YZ0642, YZ200766]; Joint Research Fund for Overseas Chinese Young Scholars [30528027]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [30873462, 90209008, 30870685, 30672690, 30600151, 60532050, 60621001]; Beijing Natural Science FundBeijing Natural Science Foundation [4071003]
第一作者机构:[1]Xidian Univ, Sch Elect Engn, Life Sci Res Ctr, Xian 710071, Peoples R China;
通讯作者:
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;
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-MATERIALS INTERNATIONAL.2009,19(7):827-835.doi:10.1016/j.pnsc.2008.09.009.
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-MATERIALS INTERNATIONAL,19,(7)
MLA:
Bai, Lijun,et al."Detection of dynamic brain networks modulated by acupuncture using a graph theory model".PROGRESS IN NATURAL SCIENCE-MATERIALS INTERNATIONAL 19..7(2009):827-835