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

Autor:	P.T. Cardoso, R.S. Rosário, Pedro Montoya, José Garcia Vivas Miranda, Miguel Ángel Muñoz
Rok vydání:	2015
Předmět:	Statistics and Probability medicine.diagnostic_test business.industry Computer science medicine Pattern recognition Artificial intelligence Motif (music) Electroencephalography Condensed Matter Physics business
Zdroj:	Physica A: Statistical Mechanics and its Applications. 439:7-19
ISSN:	0378-4371
DOI:	10.1016/j.physa.2015.07.018
Popis:	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).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2f18b3c14fb2bfb2e29a528bcaa4fcf4 https://doi.org/10.1016/j.physa.2015.07.018 Zobrazit plný text záznamu Full Text from ScienceDirect