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The Graph Theoretical Approach in Brain Functional NetworksIntroduction

The Graph Theoretical Approach in Brain Functional Networks: Introduction [Over the last decade, there has been a growing interest in the detection of the functional connectivity in the brain from different neuroelectromagnetic and hemodynamic signals recorded by several neuro-imaging devices such as the functional Magnetic Resonance Imaging (fMRI) scanner, elec-troencephalography (EEG), and magnetoencephalography (MEG) apparatus. Many methods have been proposed and discussed in the literature with the aim of estimating the functional relationships among different cerebral structures (Clifford, C., 1987; Gevins et al., 1989;Tononi et al.,1994; Inouye et al., 1995;Nunez, P., 1995; Urbano et al., 1998; Stam and van Dijk,2002;Stam et al., 2007; David et al., 2004; Babiloni et al., 2005; Astolfi et al., 2006).] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2010
ISBN
978-3-031-00516-9
Pages
1 –3
DOI
10.1007/978-3-031-01644-8_1
Publisher site
See Chapter on Publisher Site

Abstract

[Over the last decade, there has been a growing interest in the detection of the functional connectivity in the brain from different neuroelectromagnetic and hemodynamic signals recorded by several neuro-imaging devices such as the functional Magnetic Resonance Imaging (fMRI) scanner, elec-troencephalography (EEG), and magnetoencephalography (MEG) apparatus. Many methods have been proposed and discussed in the literature with the aim of estimating the functional relationships among different cerebral structures (Clifford, C., 1987; Gevins et al., 1989;Tononi et al.,1994; Inouye et al., 1995;Nunez, P., 1995; Urbano et al., 1998; Stam and van Dijk,2002;Stam et al., 2007; David et al., 2004; Babiloni et al., 2005; Astolfi et al., 2006).]

Published: Jan 1, 2010

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