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Medical & Biological Engineering & Computing
Published in: Medical & Biological Engineering & Computing 5/2011

01-05-2011 | Special Issue - Original Article

Space–time network connectivity and cortical activations preceding spike wave discharges in human absence epilepsy: a MEG study

Authors: Disha Gupta, Pauly Ossenblok, Gilles van Luijtelaar

Published in: Medical & Biological Engineering & Computing | Issue 5/2011

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Abstract

To describe the spatial and temporal profiles of connectivity networks and sources preceding generalized spike-and-wave discharges (SWDs) in human absence epilepsy. Nonlinear associations of MEG signals and cluster indices obtained within the framework of graph theory were determined, while source localization in the frequency domain was performed in the low frequency bands with dynamic imaging of coherent sources. The results were projected on a three-dimensional surface rendering of the brain using a semi-realistic head model and MRI images obtained for each of the five patients studied. An increase in clustering and a decrease in path length preceding SWD onset and a rhythmic pattern of increasing and decreasing connectivity were seen during SWDs. Beamforming showed a consistent appearance of a low frequency frontal cortical source prior to the first generalized spikes. This source was preceded by a low frequency occipital source. The changes in the connectivity networks with the onset of SWDs suggest a pathologically predisposed state towards synchronous seizure networks with increasing connectivity from interictal to preictal and ictal state, while the occipital and frontal low frequency early preictal sources demonstrate that SWDs are not suddenly arising but gradually build up in a dynamic network.
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Metadata
Title
Space–time network connectivity and cortical activations preceding spike wave discharges in human absence epilepsy: a MEG study
Authors
Disha Gupta
Pauly Ossenblok
Gilles van Luijtelaar
Publication date
01-05-2011
Publisher
Springer-Verlag
Published in
Medical & Biological Engineering & Computing / Issue 5/2011
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-011-0778-3

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