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Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study
Yu, Qingbao1; Du, Yuhui1,2; Chen, Jiayu1; He, Hao1,3; Sui, Jing1,4,5,6; Pearlson, Godfrey7,8,9; Calhoun, Vince D.1,3,8
Source PublicationJOURNAL OF NEUROSCIENCE METHODS
2017-11-01
Volume291Issue:2017111Pages:61-68
SubtypeArticle
AbstractBackground: 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.
KeywordBrain Graph Roi Ica Simulation Ground Truth
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.jneumeth.2017.08.007
WOS KeywordFUNCTIONAL NETWORK CONNECTIVITY ; FMRI DATA ; BLIND SEPARATION ; HEALTHY CONTROLS ; BALLOON MODEL ; TIME-SERIES ; BLOOD-FLOW ; GROUP PICA ; SCHIZOPHRENIA ; CONNECTOMICS
Indexed BySCI
Language英语
Funding OrganizationNational 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)
WOS Research AreaBiochemistry & Molecular Biology ; Neurosciences & Neurology
WOS SubjectBiochemical Research Methods ; Neurosciences
WOS IDWOS:000413060100008
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20271
Collection脑网络组研究中心
Affiliation1.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
Recommended Citation
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.
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