CASIA OpenIR  > 中国科学院分子影像重点实验室
A weighted-RV method to detect fine-scale functional connectivity during resting state
Zhang, Hui2; Zhang, Xiaopeng2; Sun, Yingshi2; Liu, Jiangang4; Li, Wu; Tian, Jie1,3
Source PublicationNEUROIMAGE
2011-02-14
Volume54Issue:4Pages:2885-2898
SubtypeArticle
AbstractDuring the resting state, in the absence of external stimuli or goal-directed mental tasks, some functionally related discrete regions of the brain show complex low-frequency fluctuations in the blood oxygenation level dependent signal. Here we developed a novel ROI-based multivariate statistical framework to obtain the fine-grained patterns of functionally specialized brain networks in the resting state. Under this framework, the weighted-RV method is proposed and used to detect the spatial fine-scale patterns of functional connectivity. This approach overcomes several major problems of the traditional resting-state data analysis methods such as Pearson correlation and linear regression analysis. By using simulation and real fMRI experiment, we have found that the weighted-RV method is shown to be more sensitive in detecting the fine-scale based low-frequency connectivity even at a very low functional contrast-to-noise ratio (CNR), and this method can achieve much better performance in mapping the fine-grained patterns of functionally specialized brain networks compared to the traditional methods. (C) 2010 Elsevier Inc. All rights reserved.
KeywordBold-fmri Fine-scale Functional Connectivity Rv Coefficient Resting State
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordCANONICAL CORRELATION-ANALYSIS ; HUMAN BRAIN ; FMRI DATA ; MOTOR CORTEX ; PERMUTATION TEST ; MR-IMAGES ; COEFFICIENT ; FLUCTUATIONS ; ASSOCIATION ; SIMILARITY
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000286495800031
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3908
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Med Image Proc Grp, Key Lab Complex Syst & Intelligence Sci, Inst Automat,Grad Sch, Beijing 100190, Peoples R China
2.Peking Univ, Key Lab Carcinogenesis & Translat Res, Minist Educ, Dept Radiol,Canc Hosp & Inst, Beijing, Peoples R China
3.Xidian Univ, Life Sci Res Ctr, Xian 710071, Shaanxi, Peoples R China
4.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Hui,Zhang, Xiaopeng,Sun, Yingshi,et al. A weighted-RV method to detect fine-scale functional connectivity during resting state[J]. NEUROIMAGE,2011,54(4):2885-2898.
APA Zhang, Hui,Zhang, Xiaopeng,Sun, Yingshi,Liu, Jiangang,Li, Wu,&Tian, Jie.(2011).A weighted-RV method to detect fine-scale functional connectivity during resting state.NEUROIMAGE,54(4),2885-2898.
MLA Zhang, Hui,et al."A weighted-RV method to detect fine-scale functional connectivity during resting state".NEUROIMAGE 54.4(2011):2885-2898.
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