Default mode network as revealed with multiple methods for resting-state functional MRI analysis
文献类型：期刊论文
| 作者 | Long, Xiang-Yu1,2; Zuo, Xi-Nian2; Kiviniemi, Vesa3; Yang, Yihong4; Zou, Qi-Hong1; Zhu, Chao-Zhe1; Jiang, Tian-Zi2 ; Yang, Hong5; Gong, Qi-Yong5,7; Wang, Liang
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| 刊名 | JOURNAL OF NEUROSCIENCE METHODS
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| 出版日期 | 2008-06-30 |
| 卷号 | 171期号:2页码:349-355 |
| 关键词 | resting-state fMRI default mode network correlation analysis independent component analysis regional homogeneity |
| 英文摘要 | Recently, human brain activity during a resting-state has attracted increasing attention. Several studies have found that there are two networks: the default mode network and its anti-correlation network. Some studies have subsequently showed that the functions of brain areas within the default mode network are crucial in human mental activity. To further discern the brain default mode network as well as its anti-correlation network during resting-state, we used three methods to analyze resting-state functional magnetic resonance imaging (fMRI) data; regional homogeneity analysis, linear correlation and independent component analysis, on four groups of dataset. Our results showed the existence of these two networks prominently and consistently during a resting- and conscious-state across the three methods. This consistency was exhibited in four independent groups of normal adults. Moreover, the current results provided evidences that the brain areas within the two anti-correlated networks are highly integrated at both the intra- and inter-regional level. 2008 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Biochemical Research Methods ; Neurosciences |
| 研究领域[WOS] | Biochemistry & Molecular Biology ; Neurosciences & Neurology |
| 关键词[WOS] | INDEPENDENT COMPONENT ANALYSIS ; ALZHEIMERS-DISEASE ; CORTICAL NETWORKS ; CINGULATE CORTEX ; BRAIN-FUNCTION ; CONNECTIVITY ; FMRI ; FLUCTUATIONS ; HYPOTHESIS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000256859800021 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9697]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 3.Oulu Univ Hosp, Dept Diagnost Radiol, Oulu, Finland 4.Natl Inst Drug Abuse, Neuroimaging Res Branch, Natl Inst Hlth, Baltimore, MD 21042 USA 5.Sichuan Univ, W China Hosp, Dept Radiol, HMRRC, Chengdu 610064, Peoples R China 6.Peking Univ, Hosp 1, Dept Radiol, Beijing, Peoples R China 7.Univ Liverpool, Dept Med Imaging, MARIARC, Liverpool L69 3BX, Merseyside, England |
| 推荐引用方式 GB/T 7714 | Long, Xiang-Yu,Zuo, Xi-Nian,Kiviniemi, Vesa,et al. Default mode network as revealed with multiple methods for resting-state functional MRI analysis[J]. JOURNAL OF NEUROSCIENCE METHODS,2008,171(2):349-355. |
| APA | Long, Xiang-Yu.,Zuo, Xi-Nian.,Kiviniemi, Vesa.,Yang, Yihong.,Zou, Qi-Hong.,...&Zang, Yu-Feng.(2008).Default mode network as revealed with multiple methods for resting-state functional MRI analysis.JOURNAL OF NEUROSCIENCE METHODS,171(2),349-355. |
| MLA | Long, Xiang-Yu,et al."Default mode network as revealed with multiple methods for resting-state functional MRI analysis".JOURNAL OF NEUROSCIENCE METHODS 171.2(2008):349-355. |
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来源：自动化研究所
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