Adaptive integration of local region information to detect fine-scale brain activity patterns

CASIA OpenIR > 09年以前成果

	Adaptive integration of local region information to detect fine-scale brain activity patterns
	Zhen ZongLei 1; Tian Jie 1,2; Zhang Hui 1
发表期刊	SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
	2008-11-01
卷号	51 期号:11 页码:1980-1989
文章类型	Article
摘要	With the rapid development of functional magnetic resonance imaging (fMRI) technology, the spatial resolution of fMRI data is continuously growing. This provides us the possibility to detect the fine-scale patterns of brain activities. The established univariate and multivariate methods to analyze fMRI data mostly focus on detecting the activation blobs without considering the distributed fine-scale patterns within the blobs. To improve the sensitivity of the activation detection, in this paper, multivariate statistical method and univariate statistical method are combined to discover the fine-grained activity patterns. For one voxel in the brain, a local homogenous region is constructed. Then, time courses from the local homogenous region are integrated with multivariate statistical method. Univariate statistical method is finally used to construct the interests of statistic for that voxel. The approach has explicitly taken into account the structures of both activity patterns and existing noise of local brain regions. Therefore, it could highlight the fine-scale activity patterns of the local regions. Experiments with simulated and real fMRI data demonstrate that the proposed method dramatically increases the sensitivity of detection of fine-scale brain activity patterns which contain the subtle information about experimental conditions.
关键词	Functional Magnetic Resonance Imaging (Fmri) Principal Component Analysis General Linear Model Local Region Fine-scale Activity Patterns
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FUNCTIONAL MRI DATA ; INDEPENDENT COMPONENT ANALYSIS ; EVENT-RELATED FMRI ; TIME-SERIES ; BLOOD OXYGENATION ; FRAMEWORK
收录类别	SCI
语种	英语
WOS研究方向	Engineering ; Materials Science
WOS类目	Engineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS记录号	WOS:000260019200017
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9642
专题	09年以前成果
通讯作者	Tian Jie
作者单位	1.Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China
第一作者单位	中国科学院自动化研究所
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	Zhen ZongLei,Tian Jie,Zhang Hui. Adaptive integration of local region information to detect fine-scale brain activity patterns[J]. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,2008,51(11):1980-1989.
APA	Zhen ZongLei,Tian Jie,&Zhang Hui.(2008).Adaptive integration of local region information to detect fine-scale brain activity patterns.SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,51(11),1980-1989.
MLA	Zhen ZongLei,et al."Adaptive integration of local region information to detect fine-scale brain activity patterns".SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES 51.11(2008):1980-1989.

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