Investigation of acupoint specificity by functional connectivity analysis based on graph theory

CORC > 自动化研究所 > 中国科学院自动化研究所 > 中国科学院分子影像重点实验室

	Investigation of acupoint specificity by functional connectivity analysis based on graph theory
	Ren, Yanshuang 2,3; Bai, Lijun 1; Feng, Yuanyuan 1; Tian, Jie1 ; Li, Kuncheng 2
刊名	NEUROSCIENCE LETTERS
	2010-09-27
卷号	482 期号:2 页码:95-100
关键词	Acupuncture Acupoint specificity Graph theory Functional magnetic resonance imaging (fMRI)
英文摘要	Acupoint specificity is still a contentious issue and remains to be verified whether brain, response is as specific as the purported indication of different acupoints. Previous fMRI acupuncture, studies based on multiple-block design may not be able to fully disclose acupuncture effects. Both, recent studies and certain clinical reports have indicated that there exists time-sustainability during, acupuncture even after the stimulus being terminated. Further understanding of how such external, intervention interacts with post-stimulus resting brain networks may enlighten us to gain an, appreciation of the physiological function and integrated mechanisms involved in acupuncture. In our, study, we adopted a modified non-repeated event-related (NRER) design, and utilized the graph theory, based functional connectivity analysis to investigate the neural specificity of the PC6, with the same, meridian acupoint PC7 and a different meridian acupoint GB37 as separate controls. Under the, construct of this network model, some brain regions with a larger degree of connectivity indicated, stronger interactions with other brain regions and were considered to be important nodes in this, network. We identified that the two most important brain areas were the right nodule and right uvula, following acupuncture at PC6, and the right amygdala and right inferior parietal lobe following, acupuncture at PC7. Following the GB37, the two regions with the larger degree of connectivity were, the posterior cingulate cortex (PCC) and middle occipital gyrus. These specific regions may mediate the, specific effects of acupuncture. Results showed that different modulatory brain networks may support, the point specificity of acupuncture. Crown Copyright (C) 2010 Published by Elsevier Ireland Ltd. All rights reserved.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
类目[WOS]	Neurosciences
研究领域[WOS]	Neurosciences & Neurology
关键词[WOS]	RESTING-STATE ; HUMAN BRAIN ; ACUPUNCTURE STIMULATION ; FMRI ; MODULATION ; FLUCTUATIONS ; NETWORKS ; DEFAULT ; SYSTEM
收录类别	SCI
语种	英语
WOS记录号	WOS:000281473000004
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3953]
专题	自动化研究所_中国科学院分子影像重点实验室
作者单位	1.Chinese Acad Sci, Med Image Proc Grp, Inst Automat, Beijing 100190, Peoples R China 2.Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing 100053, Peoples R China 3.Chinese Acad Tradit Med, Guanganmen Hosp, Dept Radiol, Beijing 100053, Peoples R China
推荐引用方式 GB/T 7714	Ren, Yanshuang,Bai, Lijun,Feng, Yuanyuan,et al. Investigation of acupoint specificity by functional connectivity analysis based on graph theory[J]. NEUROSCIENCE LETTERS,2010,482(2):95-100.
APA	Ren, Yanshuang,Bai, Lijun,Feng, Yuanyuan,Tian, Jie,&Li, Kuncheng.(2010).Investigation of acupoint specificity by functional connectivity analysis based on graph theory.NEUROSCIENCE LETTERS,482(2),95-100.
MLA	Ren, Yanshuang,et al."Investigation of acupoint specificity by functional connectivity analysis based on graph theory".NEUROSCIENCE LETTERS 482.2(2010):95-100.