Adaptive integration of local region information to detect fine-scale brain activity patterns
文献类型：期刊论文
| 作者 | Zhen ZongLei1; Tian Jie1,2 ; Zhang Hui1
|
| 刊名 | SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
 |
| 出版日期 | 2008-11-01 |
| 卷号 | 51期号:11页码:1980-1989 |
| 关键词 | functional magnetic resonance imaging (fMRI) principal component analysis general linear model local region fine-scale activity patterns |
| 通讯作者 | Tian Jie |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Multidisciplinary ; Materials Science, Multidisciplinary |
| 研究领域[WOS] | Engineering ; Materials Science |
| 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记录号 | WOS:000260019200017 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9642]  |
| 专题 | 自动化研究所_09年以前成果 |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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