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Adaptive integration of local region information to detect fine-scale brain activity patterns
Zhen ZongLei1; Tian Jie1,2; Zhang Hui1
2008-11-01
发表期刊SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
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
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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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