Literature DB >> 18830955

Hierarchical functional modularity in the resting-state human brain.

Luca Ferrarini1, Ilya M Veer, Evelinda Baerends, Marie-José van Tol, Remco J Renken, Nic J A van der Wee, Dirk J Veltman, André Aleman, Frans G Zitman, Brenda W J H Penninx, Mark A van Buchem, Johan H C Reiber, Serge A R B Rombouts, Julien Milles.   

Abstract

Functional magnetic resonance imaging (fMRI) studies have shown that anatomically distinct brain regions are functionally connected during the resting state. Basic topological properties in the brain functional connectivity (BFC) map have highlighted the BFC's small-world topology. Modularity, a more advanced topological property, has been hypothesized to be evolutionary advantageous, contributing to adaptive aspects of anatomical and functional brain connectivity. However, current definitions of modularity for complex networks focus on nonoverlapping clusters, and are seriously limited by disregarding inclusive relationships. Therefore, BFC's modularity has been mainly qualitatively investigated. Here, we introduce a new definition of modularity, based on a recently improved clustering measurement, which overcomes limitations of previous definitions, and apply it to the study of BFC in resting state fMRI of 53 healthy subjects. Results show hierarchical functional modularity in the brain. Copyright 2009 Wiley-Liss, Inc

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Year:  2009        PMID: 18830955      PMCID: PMC6871119          DOI: 10.1002/hbm.20663

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  39 in total

1.  Defining and identifying communities in networks.

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2.  Consistent resting-state networks across healthy subjects.

Authors:  J S Damoiseaux; S A R B Rombouts; F Barkhof; P Scheltens; C J Stam; S M Smith; C F Beckmann
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-31       Impact factor: 11.205

Review 3.  Decoding mental states from brain activity in humans.

Authors:  John-Dylan Haynes; Geraint Rees
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Review 4.  The application of graph theoretical analysis to complex networks in the brain.

Authors:  Jaap C Reijneveld; Sophie C Ponten; Henk W Berendse; Cornelis J Stam
Journal:  Clin Neurophysiol       Date:  2007-09-27       Impact factor: 3.708

5.  Predicting the orientation of invisible stimuli from activity in human primary visual cortex.

Authors:  John-Dylan Haynes; Geraint Rees
Journal:  Nat Neurosci       Date:  2005-04-24       Impact factor: 24.884

6.  fMRI resting state networks define distinct modes of long-distance interactions in the human brain.

Authors:  M De Luca; C F Beckmann; N De Stefano; P M Matthews; S M Smith
Journal:  Neuroimage       Date:  2005-11-02       Impact factor: 6.556

Review 7.  The human connectome: A structural description of the human brain.

Authors:  Olaf Sporns; Giulio Tononi; Rolf Kötter
Journal:  PLoS Comput Biol       Date:  2005-09       Impact factor: 4.475

8.  A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs.

Authors:  Sophie Achard; Raymond Salvador; Brandon Whitcher; John Suckling; Ed Bullmore
Journal:  J Neurosci       Date:  2006-01-04       Impact factor: 6.167

9.  Graph theoretical analysis of complex networks in the brain.

Authors:  Cornelis J Stam; Jaap C Reijneveld
Journal:  Nonlinear Biomed Phys       Date:  2007-07-05

10.  Identification and classification of hubs in brain networks.

Authors:  Olaf Sporns; Christopher J Honey; Rolf Kötter
Journal:  PLoS One       Date:  2007-10-17       Impact factor: 3.240

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  65 in total

1.  Investigation of long-term reproducibility of intrinsic connectivity network mapping: a resting-state fMRI study.

Authors:  Y-h Chou; L P Panych; C C Dickey; J R Petrella; N-k Chen
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

Review 2.  Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks.

Authors:  Maxime Guye; Gaelle Bettus; Fabrice Bartolomei; Patrick J Cozzone
Journal:  MAGMA       Date:  2010-03-27       Impact factor: 2.310

Review 3.  Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity.

Authors:  Daniel S Margulies; Joachim Böttger; Xiangyu Long; Yating Lv; Clare Kelly; Alexander Schäfer; Dirk Goldhahn; Alexander Abbushi; Michael P Milham; Gabriele Lohmann; Arno Villringer
Journal:  MAGMA       Date:  2010-10-24       Impact factor: 2.310

Review 4.  Human brain networks in health and disease.

Authors:  Danielle S Bassett; Edward T Bullmore
Journal:  Curr Opin Neurol       Date:  2009-08       Impact factor: 5.710

5.  Predictors of coupling between structural and functional cortical networks in normal aging.

Authors:  Rafael Romero-Garcia; Mercedes Atienza; Jose L Cantero
Journal:  Hum Brain Mapp       Date:  2013-09-12       Impact factor: 5.038

Review 6.  Future classification of psychotic disorders.

Authors:  Wolfgang Gaebel; Jürgen Zielasek
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-11       Impact factor: 5.270

7.  Age-related changes in topological organization of structural brain networks in healthy individuals.

Authors:  Kai Wu; Yasuyuki Taki; Kazunori Sato; Shigeo Kinomura; Ryoi Goto; Ken Okada; Ryuta Kawashima; Yong He; Alan C Evans; Hiroshi Fukuda
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

Review 8.  Functional network disruption in the degenerative dementias.

Authors:  Michela Pievani; Willem de Haan; Tao Wu; William W Seeley; Giovanni B Frisoni
Journal:  Lancet Neurol       Date:  2011-07-21       Impact factor: 44.182

Review 9.  Understanding brain networks and brain organization.

Authors:  Luiz Pessoa
Journal:  Phys Life Rev       Date:  2014-04-18       Impact factor: 11.025

10.  Hierarchical modularity in human brain functional networks.

Authors:  David Meunier; Renaud Lambiotte; Alex Fornito; Karen D Ersche; Edward T Bullmore
Journal:  Front Neuroinform       Date:  2009-10-30       Impact factor: 4.081

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