The Global Signal and Observed Anticorrelated Resting State Brain Networks

被引:1520
作者
Fox, Michael D. [1 ]
Zhang, Dongyang [1 ]
Snyder, Abraham Z. [1 ,2 ]
Raichle, Marcus E. [1 ,2 ,3 ,4 ]
机构
[1] Washington Univ, Dept Radiol, St Louis, MO 63130 USA
[2] Washington Univ, Dept Neurol, St Louis, MO USA
[3] Washington Univ, Dept Anat & Neurobiol, St Louis, MO USA
[4] Washington Univ, Dept Biomed Engn, St Louis, MO USA
基金
美国国家卫生研究院;
关键词
INDEPENDENT COMPONENT ANALYSIS; FUNCTIONAL CONNECTIVITY; DEFAULT-MODE; CEREBRAL-CORTEX; BOLD SIGNAL; SPONTANEOUS FLUCTUATIONS; TEMPORAL CORRELATIONS; INTRINSIC SYSTEMS; FMRI; MRI;
D O I
10.1152/jn.90777.2008
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Fox MD, Zhang D, Snyder AZ, Raichle ME. The global signal and observed anticorrelated resting state brain networks. J Neurophysiol 101: 3270-3283, 2009. First published April 1, 2009; doi:10.1152/jn.90777.2008. Resting state studies of spontaneous fluctuations in the functional MRI (fMRI) blood oxygen level dependent (BOLD) signal have shown great promise in mapping the brain's intrinsic, large-scale functional architecture. An important data preprocessing step used to enhance the quality of these observations has been removal of spontaneous BOLD fluctuations common to the whole brain (the so-called global signal). One reproducible consequence of global signal removal has been the finding that spontaneous BOLD fluctuations in the default mode network and an extended dorsal attention system are consistently anticorrelated, a relationship that these two systems exhibit during task performance. The dependence of these resting-state anticorrelations on global signal removal has raised important questions regarding the nature of the global signal, the validity of global signal removal, and the appropriate interpretation of observed anticorrelated brain networks. In this study, we investigate several properties of the global signal and find that it is, indeed, global, not residing preferentially in systems exhibiting anticorrelations. We detail the influence of global signal removal on resting state correlation maps both mathematically and empirically, showing an enhancement in detection of system-specific correlations and improvement in the correspondence between resting-state correlations and anatomy. Finally, we show that several characteristics of anticorrelated networks including their spatial distribution, cross-subject consistency, presence with modified whole brain masks, and existence before global regression are not attributable to global signal removal and therefore suggest a biological basis.
引用
收藏
页码:3270 / 3283
页数:14
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