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Mapping the epileptic brain with EEG dynamical connectivity: Established methods and novel approaches

  • Margarita Papadopoulou
  • Kristl Vonck
  • Paul Boon
  • Daniele MarinazzoEmail author
Regular Article
Part of the following topical collections:
  1. Focus Point on Advanced Physical Methods in Brain Research

Abstract

Several algorithms rooted in statistical physics, mathematics and machine learning are used to analyze neuroimaging data from patients suffering from epilepsy, with the main goals of localizing the brain region where the seizure originates from and of detecting upcoming seizure activity in order to trigger therapeutic neurostimulation devices. Some of these methods explore the dynamical connections between brain regions, exploiting the high temporal resolution of the electroencephalographic signals recorded at the scalp or directly from the cortical surface or in deeper brain areas. In this paper we describe this specific class of algorithms and their clinical application, by reviewing the state of the art and reporting their application on EEG data from an epileptic patient.

Keywords

Granger Causality Seizure Onset Transfer Entropy Scalp Electrode Seizure Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Società Italiana di Fisica and Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Margarita Papadopoulou
    • 1
  • Kristl Vonck
    • 2
  • Paul Boon
    • 2
  • Daniele Marinazzo
    • 1
    Email author
  1. 1.Department of Data Analysis, Faculty of Psychology and Pedagogical SciencesGhent UniversityGhentBelgium
  2. 2.Laboratory for Clinical and Experimental NeurophysiologyGhent University HospitalGhentBelgium

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