| 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 | |
| 发表期刊 | JOURNAL OF NEUROSCIENCE METHODS
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| 2017-11-01 | |
| 卷号 | 291期号:2017111页码:61-68 |
| 文章类型 | Article |
| 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. |
| 关键词 | Brain Graph Roi Ica Simulation Ground Truth |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| DOI | 10.1016/j.jneumeth.2017.08.007 |
| 关键词[WOS] | FUNCTIONAL NETWORK CONNECTIVITY ; FMRI DATA ; BLIND SEPARATION ; HEALTHY CONTROLS ; BALLOON MODEL ; TIME-SERIES ; BLOOD-FLOW ; GROUP PICA ; SCHIZOPHRENIA ; CONNECTOMICS |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | 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) |
| WOS研究方向 | Biochemistry & Molecular Biology ; Neurosciences & Neurology |
| WOS类目 | Biochemical Research Methods ; Neurosciences |
| WOS记录号 | WOS:000413060100008 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/20271 |
| 专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
| 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. |
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| Comparing brain grap（2031KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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