Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study

doi:10.1016/j.jneumeth.2017.08.007

	Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study
	Yu, Qingbao 1; Du, Yuhui 1,2; Chen, Jiayu 1; He, Hao 1,3; Sui, Jing1,4,5,6 ; Pearlson, Godfrey 7,8,9; Calhoun, Vince D.1,3,8
刊名	JOURNAL OF NEUROSCIENCE METHODS
	2017-11-01
卷号	291 期号:2017111 页码:61-68
关键词	Brain Graph Roi Ica Simulation Ground Truth
DOI	10.1016/j.jneumeth.2017.08.007
文献子类	Article
英文摘要	Background: A key challenge in building a brain graph using fMRI data is how to define the nodes. Spatial brain components estimated by independent components analysis (ICA) and regions of interest (ROIs) determined by brain atlas are two popular methods to define nodes in brain graphs. It is difficult to evaluate which method is better in real fMRI data.
WOS关键词	FUNCTIONAL NETWORK CONNECTIVITY ; FMRI DATA ; BLIND SEPARATION ; HEALTHY CONTROLS ; BALLOON MODEL ; TIME-SERIES ; BLOOD-FLOW ; GROUP PICA ; SCHIZOPHRENIA ; CONNECTOMICS
WOS研究方向	Biochemistry & Molecular Biology ; Neurosciences & Neurology
语种	英语
WOS记录号	WOS:000413060100008
资助机构	National Institutes of Health (NIH)(P20GM103472/5P20RR021938) ; R01 grants(R01EB005846 ; National Science Foundation (NSF)(1539067) ; "100 Talents Plan" of Chinese Academy of Sciences ; state high-tech development plan of China (863)(2015AA020513) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060005) ; Chinese NSF(81471367) ; natural science foundation of Shanxi(2016021077) ; 1R01EB006841 ; 1R01DA040487 ; REB020407 ; EB000840 ; R37MH43775)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/20271]
专题	自动化研究所_脑网络组研究中心
作者单位	1.Mind Res Network, Albuquerque, NM 87106 USA 2.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan 030006, Shanxi, Peoples R China 3.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87106 USA 4.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 6.Univ Chinese Acad Sci Beijing, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100049, Peoples R China 7.Olin Neuropsychiat Res Ctr, Hartford, CT 06106 USA 8.Yale Univ, Dept Psychiat, New Haven, CT 06520 USA 9.Yale Univ, Dept Neurosci, New Haven, CT 06520 USA
推荐引用方式 GB/T 7714	Yu, Qingbao,Du, Yuhui,Chen, Jiayu,et al. Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study[J]. JOURNAL OF NEUROSCIENCE METHODS,2017,291(2017111):61-68.
APA	Yu, Qingbao.,Du, Yuhui.,Chen, Jiayu.,He, Hao.,Sui, Jing.,...&Calhoun, Vince D..(2017).Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study.JOURNAL OF NEUROSCIENCE METHODS,291(2017111),61-68.
MLA	Yu, Qingbao,et al."Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study".JOURNAL OF NEUROSCIENCE METHODS 291.2017111(2017):61-68.