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Using bivariate signal analysis to characterize the epileptic focus: the benefit of R G Andrzejak,1
 

Summary: Using bivariate signal analysis to characterize the epileptic focus: the benefit of
surrogates
R G Andrzejak,1
D Chicharro,1
K Lehnertz,2, 3, 4
and F Mormann2
1
Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
2
Department of Epileptology, University of Bonn, Germany
3
Helmholtz-Institute for Radiation and Nuclear Physics, University of Bonn, Germany
4
Interdisciplinary Center for Complex Systems, University of Bonn, Germany
The disease epilepsy is related to hyper-synchronous activity of networks of neurons. While
acute epileptic seizures are the most extreme manifestation of this hyper-synchronous activity, an
elevated level of interdependence of neuronal dynamics is thought to persist also during the seizure-
free interval. In multichannel recordings from brain areas involved in the epileptic process, this
interdependence can be reflected in an increased linear cross-correlation but also in signal properties
of higher order. Bivariate time series analysis comprises a variety of approaches, each with different

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra

 

Collections: Computer Technologies and Information Sciences