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

被引：41
|
作者：
Rosario, R. S. [1 ]
Cardoso, P. T. [1 ]
Munoz, M. A. [2 ]
Montoya, P. [3 ]
Miranda, J. G. V. [1 ]
机构：
[1] Univ Fed Bahia UFBA, Inst Phys, BR-40210340 Salvador, BA, Brazil
[2] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada 18010, Spain
[3] Univ Balearic Isl, Res Inst Hlth Sci IUNICS, E-07122 Palma De Mallorca, Spain
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2015年 / 439卷
关键词：
Brain functional network; Motif-Synchronization; Time-varying graphs; EEG; Coupled Rossler oscillator; Chronic pain; GRAPH-THEORETICAL ANALYSIS; ATTENTION;
D O I：
10.1016/j.physa.2015.07.018
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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). (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：7 / 19
页数：13
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