CASIA OpenIR  > 09年以前成果
Adaptive integration of local region information to detect fine-scale brain activity patterns
Zhen ZongLei1; Tian Jie1,2; Zhang Hui1
Source PublicationSCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
2008-11-01
Volume51Issue:11Pages:1980-1989
SubtypeArticle
AbstractWith 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.
KeywordFunctional Magnetic Resonance Imaging (Fmri) Principal Component Analysis General Linear Model Local Region Fine-scale Activity Patterns
WOS HeadingsScience & Technology ; Technology
WOS KeywordFUNCTIONAL MRI DATA ; INDEPENDENT COMPONENT ANALYSIS ; EVENT-RELATED FMRI ; TIME-SERIES ; BLOOD OXYGENATION ; FRAMEWORK
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Materials Science
WOS SubjectEngineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS IDWOS:000260019200017
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9642
Collection09年以前成果
Corresponding AuthorTian Jie
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
ZhenZL_2007Sciencein(747KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhen ZongLei]'s Articles
[Tian Jie]'s Articles
[Zhang Hui]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhen ZongLei]'s Articles
[Tian Jie]'s Articles
[Zhang Hui]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhen ZongLei]'s Articles
[Tian Jie]'s Articles
[Zhang Hui]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: ZhenZL_2007ScienceinChina.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.