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Default mode network as revealed with multiple methods for resting-state functional MRI analysis

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机构: [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
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关键词: resting-state fMRI default mode network correlation analysis independent component analysis regional homogeneity

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.

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出版当年[2007]版:
大类 | 3 区 医学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 生化研究方法 4 区 神经科学
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出版当年[2006]版:
Q3 NEUROSCIENCES Q3 BIOCHEMICAL RESEARCH METHODS
最新[2023]版:
Q2 BIOCHEMICAL RESEARCH METHODS Q3 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2006版] 出版当年五年平均 出版前一年[2005版] 出版后一年[2007版]

第一作者:
第一作者机构: [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;
通讯作者:
通讯机构: [1]Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China;
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