https://doi.org/10.1140/epjp/i2012-12144-5
Regular Article
Mapping the epileptic brain with EEG dynamical connectivity: Established methods and novel approaches
1
Department of Data Analysis, Faculty of Psychology and Pedagogical Sciences, Ghent University, Henri Dunantlaan 1, B-9000, Ghent, Belgium
2
Laboratory for Clinical and Experimental Neurophysiology, Ghent University Hospital, B-9000, Ghent, Belgium
* e-mail: daniele.marinazzo@gmail.com
Received:
29
June
2012
Revised:
23
October
2012
Accepted:
20
November
2012
Published online:
29
November
2012
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.
© Società Italiana di Fisica and Springer-Verlag Berlin Heidelberg, 2012
