Neural specificity of acupuncture stimulation from support vector machine classification analysis

	Neural specificity of acupuncture stimulation from support vector machine classification analysis
	Xue, Ting 2; Bai, Lijun 1; Chen, Shangjie 3; Zhong, Chongguang 1; Feng, Yuanyuan 1; Wang, Hu 1; Liu, Zhenyu1 ; You, Youbo 1; Cui, Fangyuan 4; Ren, Yanshuang 5; Tian, Jie 1,2; Liu, Yijun 6
发表期刊	MAGNETIC RESONANCE IMAGING
	2011-09-01
卷号	29 期号:7 页码:943-950
文章类型	Article
摘要	Acupoint specificity, as a crucial issue in acupuncture neuroimaging studies, is still a controversial topic. Previous studies have generally adopted a block-based general linear model (GLM) approach, which predicts the temporal changes in the blood oxygenation level-dependent signal conforming to the "on-off" specifications. However, this method might become impractical since the precise timing and duration of acupuncture actions cannot be specified a priori. In the current study, we applied a data-driven multivariate classification approach, namely, support vector machine (SVM), to explore the neural specificity of acupuncture at gall bladder 40 (GB40) using kidney 3 (KI3) as a control condition (belonging to different meridians but the same nerve segment). In addition, to verify whether the typical GLM approach is sensitive enough in exploring the neural response patterns evoked by acupuncture, we also employed the GLM method to the same data sets. The SVM analysis detected distinct neural response patterns between GB40 and KI3 - positive predominantly for the GB40, while negative following the KI3. By contrast, group analysis from the GLM showed that acupuncture at these different acupoints can both evoke similar widespread signal decreases in multiple brain regions, and most of these regions were spatially overlapped, mainly distributing in the limbic and subcortical structures. Our findings may provide additional evidence to support the specificity of acupuncture, relevant to its clinical efficacy. Moreover, we also proved that GLM analysis is prone to be susceptible to errors and is not appropriate for detecting neural response patterns evoked by acupuncture stimulation. Crown Copyright (C) 2011 Published by Elsevier Inc. All rights reserved.
关键词	Acupuncture Specificity Functional Magnetic Resonance Imaging (Fmri) Support Vector Machine Analysis (Svm)
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]	HUMAN BRAIN ; FMRI ; PAIN ; MODULATION
收录类别	SCI
语种	英语
WOS研究方向	Radiology, Nuclear Medicine & Medical Imaging
WOS类目	Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:000294314200007
引用统计	被引频次：17[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/173211/3961
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.Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100190, Peoples R China 2.Xidian Univ, Life Sci Res Ctr, Sch Life Sci & Technol, Xian 710071, Peoples R China 3.So Med Univ, Baoan Hosp, Shenzhen 518101, Peoples R China 4.Beijing Univ Chinese Med, Dept Neurol, Dongzhimen Hosp Affiliated, Beijing 100700, Peoples R China 5.Guanganmen Hosp, Chinese Acad Tradit, Dept Radiol, Beijing 100053, Peoples R China 6.Univ Florida, McKnight Brain Inst, Dept Psychiat & Neurosci, Gainesville, FL 32611 USA
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	Xue, Ting,Bai, Lijun,Chen, Shangjie,et al. Neural specificity of acupuncture stimulation from support vector machine classification analysis[J]. MAGNETIC RESONANCE IMAGING,2011,29(7):943-950.
APA	Xue, Ting.,Bai, Lijun.,Chen, Shangjie.,Zhong, Chongguang.,Feng, Yuanyuan.,...&Liu, Yijun.(2011).Neural specificity of acupuncture stimulation from support vector machine classification analysis.MAGNETIC RESONANCE IMAGING,29(7),943-950.
MLA	Xue, Ting,et al."Neural specificity of acupuncture stimulation from support vector machine classification analysis".MAGNETIC RESONANCE IMAGING 29.7(2011):943-950.

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