Literature DB >> 19339462

The global signal and observed anticorrelated resting state brain networks.

Michael D Fox1, Dongyang Zhang, Abraham Z Snyder, Marcus E Raichle.   

Abstract

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.

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Year:  2009        PMID: 19339462      PMCID: PMC2694109          DOI: 10.1152/jn.90777.2008

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  62 in total

1.  Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.

Authors:  D Cordes; V M Haughton; K Arfanakis; J D Carew; P A Turski; C H Moritz; M A Quigley; M E Meyerand
Journal:  AJNR Am J Neuroradiol       Date:  2001-08       Impact factor: 3.825

2.  Identifying confounds to increase specificity during a "no task condition". Evidence for hippocampal connectivity using fMRI.

Authors:  S A R B Rombouts; C J Stam; J P A Kuijer; Ph Scheltens; F Barkhof
Journal:  Neuroimage       Date:  2003-10       Impact factor: 6.556

3.  The chronoarchitecture of the human brain--natural viewing conditions reveal a time-based anatomy of the brain.

Authors:  Andreas Bartels; Semir Zeki
Journal:  Neuroimage       Date:  2004-05       Impact factor: 6.556

4.  The inferential impact of global signal covariates in functional neuroimaging analyses.

Authors:  G K Aguirre; E Zarahn; M D'Esposito
Journal:  Neuroimage       Date:  1998-10       Impact factor: 6.556

5.  Anatomic localization and quantitative analysis of gradient refocused echo-planar fMRI susceptibility artifacts.

Authors:  J G Ojemann; E Akbudak; A Z Snyder; R C McKinstry; M E Raichle; T E Conturo
Journal:  Neuroimage       Date:  1997-10       Impact factor: 6.556

6.  Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions.

Authors:  E Zarahn; G K Aguirre; M D'Esposito
Journal:  Neuroimage       Date:  1997-04       Impact factor: 6.556

7.  Contrasting activity profile of two distributed cortical networks as a function of attentional demands.

Authors:  Daniela Popa; Andrei T Popescu; Denis Paré
Journal:  J Neurosci       Date:  2009-01-28       Impact factor: 6.167

8.  Loss of resting interhemispheric functional connectivity after complete section of the corpus callosum.

Authors:  James M Johnston; S Neil Vaishnavi; Matthew D Smyth; Dongyang Zhang; Biyu J He; John M Zempel; Joshua S Shimony; Abraham Z Snyder; Marcus E Raichle
Journal:  J Neurosci       Date:  2008-06-18       Impact factor: 6.167

9.  A method for removal of global effects from fMRI time series.

Authors:  Paul M Macey; Katherine E Macey; Rajesh Kumar; Ronald M Harper
Journal:  Neuroimage       Date:  2004-05       Impact factor: 6.556

Review 10.  Are anticorrelated networks in the brain relevant to schizophrenia?

Authors:  Peter Williamson
Journal:  Schizophr Bull       Date:  2007-05-10       Impact factor: 9.306

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  880 in total

1.  Brain networks' functional connectivity separates aphasic deficits in stroke.

Authors:  Antonello Baldassarre; Nicholas V Metcalf; Gordon L Shulman; Maurizio Corbetta
Journal:  Neurology       Date:  2018-12-05       Impact factor: 9.910

2.  Large-scale changes in network interactions as a physiological signature of spatial neglect.

Authors:  Antonello Baldassarre; Lenny Ramsey; Carl L Hacker; Alicia Callejas; Serguei V Astafiev; Nicholas V Metcalf; Kristi Zinn; Jennifer Rengachary; Abraham Z Snyder; Alex R Carter; Gordon L Shulman; Maurizio Corbetta
Journal:  Brain       Date:  2014-11-02       Impact factor: 13.501

3.  Network anticorrelations, global regression, and phase-shifted soft tissue correction.

Authors:  Jeffrey S Anderson; T Jason Druzgal; Melissa Lopez-Larson; Eun-Kee Jeong; Krishnaji Desai; Deborah Yurgelun-Todd
Journal:  Hum Brain Mapp       Date:  2010-06-09       Impact factor: 5.038

4.  Connectivity gradients between the default mode and attention control networks.

Authors:  Jeffrey S Anderson; Michael A Ferguson; Melissa Lopez-Larson; Deborah Yurgelun-Todd
Journal:  Brain Connect       Date:  2011

5.  A clustering-based method to detect functional connectivity differences.

Authors:  Gang Chen; B Douglas Ward; Chunming Xie; Wenjun Li; Guangyu Chen; Joseph S Goveas; Piero G Antuono; Shi-Jiang Li
Journal:  Neuroimage       Date:  2012-03-03       Impact factor: 6.556

Review 6.  Development of the brain's functional network architecture.

Authors:  Alecia C Vogel; Jonathan D Power; Steven E Petersen; Bradley L Schlaggar
Journal:  Neuropsychol Rev       Date:  2010-10-27       Impact factor: 7.444

7.  Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases.

Authors:  David C Van Essen; Matthew F Glasser; Donna L Dierker; John Harwell; Timothy Coalson
Journal:  Cereb Cortex       Date:  2011-11-02       Impact factor: 5.357

8.  Effect of dopamine transporter genotype on intrinsic functional connectivity depends on cognitive state.

Authors:  Evan M Gordon; Melanie Stollstorff; Joseph M Devaney; Stephanie Bean; Chandan J Vaidya
Journal:  Cereb Cortex       Date:  2011-11-02       Impact factor: 5.357

9.  Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data.

Authors:  Matthew F Glasser; Timothy S Coalson; Janine D Bijsterbosch; Samuel J Harrison; Michael P Harms; Alan Anticevic; David C Van Essen; Stephen M Smith
Journal:  Neuroimage       Date:  2018-08-02       Impact factor: 6.556

10.  Functional connectivity and graph theory in preclinical Alzheimer's disease.

Authors:  Matthew R Brier; Jewell B Thomas; Anne M Fagan; Jason Hassenstab; David M Holtzman; Tammie L Benzinger; John C Morris; Beau M Ances
Journal:  Neurobiol Aging       Date:  2013-10-18       Impact factor: 4.673

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