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

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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.

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Authors and Affiliations

  1. Department of Data Analysis, Faculty of Psychology and Pedagogical Sciences, Ghent University, Henri Dunantlaan 1, B-9000, Ghent, Belgium

    Margarita Papadopoulou & Daniele Marinazzo

  2. Laboratory for Clinical and Experimental Neurophysiology, Ghent University Hospital, B-9000, Ghent, Belgium

    Kristl Vonck & Paul Boon

Authors
  1. Margarita Papadopoulou
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  2. Kristl Vonck
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  3. Paul Boon
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  4. Daniele Marinazzo
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Correspondence to Daniele Marinazzo.

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Papadopoulou, M., Vonck, K., Boon, P. et al. Mapping the epileptic brain with EEG dynamical connectivity: Established methods and novel approaches. Eur. Phys. J. Plus 127, 144 (2012). https://doi.org/10.1140/epjp/i2012-12144-5

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  • DOI: https://doi.org/10.1140/epjp/i2012-12144-5

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