A weighted-RV method to detect fine-scale functional connectivity during resting state

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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, Hui 2; Zhang, Xiaopeng2 ; Sun, Yingshi 2; Liu, Jiangang 4; Li, Wu ; Tian, Jie1,3
刊名	NEUROIMAGE
	2011-02-14
卷号	54 期号:4 页码:2885-2898
关键词	BOLD-fMRI Fine-scale Functional connectivity RV coefficient Resting state
英文摘要	During 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.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
类目[WOS]	Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]	Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]	CANONICAL CORRELATION-ANALYSIS ; HUMAN BRAIN ; FMRI DATA ; MOTOR CORTEX ; PERMUTATION TEST ; MR-IMAGES ; COEFFICIENT ; FLUCTUATIONS ; ASSOCIATION ; SIMILARITY
收录类别	SCI
语种	英语
WOS记录号	WOS:000286495800031
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3908]
专题	自动化研究所_中国科学院分子影像重点实验室
作者单位	1.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
推荐引用方式 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.