Motif-Synchronization: A new method for analysis of dynamic brain networks with EEG

R.S. Rosário, P.T. Cardoso, M.A. Muñoz, P. Montoya and J.G.V. Miranda

Physica A: Statistical Mechanics and its Applications, 2015, vol. 439, issue C, 7-19

Abstract: The major aim of this work was to propose a new association method known as Motif-Synchronization. This method was developed to provide information about the synchronization degree and direction between two nodes of a network by counting the number of occurrences of some patterns between any two time series. The second objective of this work was to present a new methodology for the analysis of dynamic brain networks, by combining the Time-Varying Graph (TVG) method with a directional association method. We further applied the new algorithms to a set of human electroencephalogram (EEG) signals to perform a dynamic analysis of the brain functional networks (BFN).

Keywords: Brain functional network; Motif-Synchronization; Time-varying graphs; EEG; Coupled Rössler oscillator; Chronic pain (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:439:y:2015:i:c:p:7-19

DOI: 10.1016/j.physa.2015.07.018

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