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The Graph Theoretical Approach in Brain Functional NetworksHigh-Resolution EEG

The Graph Theoretical Approach in Brain Functional Networks: High-Resolution EEG [Nowadays, it is well understood that brain activity generates a variable electromagnetic field that can be detected quite accurately by using scalp electrodes as well as by superconductive magnetic sensors. Electroencephalography (EEG) and magnetoencephalography (MEG) are therefore useful techniques for the study of brain dynamics and functional cortical connectivity because of their high temporal resolution i.e., milliseconds (Nunez, P., 1981).] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

The Graph Theoretical Approach in Brain Functional NetworksHigh-Resolution EEG

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2010
ISBN
978-3-031-00516-9
Pages
23 –27
DOI
10.1007/978-3-031-01644-8_4
Publisher site
See Chapter on Publisher Site

Abstract

[Nowadays, it is well understood that brain activity generates a variable electromagnetic field that can be detected quite accurately by using scalp electrodes as well as by superconductive magnetic sensors. Electroencephalography (EEG) and magnetoencephalography (MEG) are therefore useful techniques for the study of brain dynamics and functional cortical connectivity because of their high temporal resolution i.e., milliseconds (Nunez, P., 1981).]

Published: Jan 1, 2010

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