HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity

被引：0
|
作者：
Guiomar Niso
Ricardo Bruña
Ernesto Pereda
Ricardo Gutiérrez
Ricardo Bajo
Fernando Maestú
Francisco del-Pozo
机构：
[1] Technical University of Madrid,Centre for Biomedical Technology
[2] University of La Laguna,Electrical Engineering and Bioengineering Group, Department of Basic Physics
来源：
Neuroinformatics | 2013年 / 11卷
关键词：
Functional connectivity; Effective connectivity; Matlab toolbox; Electroencephalography; Magnetoencephalography; Multiple comparisons problem;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ‘traditional’ set of linear methods, which includes the cross-correlation and the coherency function in the time and frequency domain, respectively, or more elaborated tools such as Granger Causality.
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页码：405 / 434
页数：29
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