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Complex networks in brain electrical activity

C. Ray1,2, G. Ruffini1, J. Marco-Pallarés1,3, L. Fuentemilla4 and C. Grau4

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This letter reports a method to extract a functional network of the human brain from electroencephalogram measurements. A network analysis was performed on the resultant network and the statistics of the cluster coefficient, node degree, path length, and physical distance of the links, were studied. Even given the low electrode count of the experimental data the method was able to extract networks with network parameters that clearly depend on the type of stimulus presented to the subject. This type of analysis opens a door to studying the cerebral networks underlying brain electrical activity, and links the fields of complex networks and cognitive neuroscience.


PACS

87.19.R- Mechanical and electrical properties of tissues and organs

89.75.-k Complex systems

87.18.Sn Neural networks and synaptic communication

Subjects

Medical physics

Biological physics

Statistical physics and nonlinear systems

Dates

Issue 3 (August 2007)

Received 5 January 2007, accepted for publication 19 June 2007

Published 16 July 2007



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