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Towards a large-scale model of patient-specific epileptic spike-wave discharges

Taylor, PN; Goodfellow, M; Wang, Y; Baier, G; (2013) Towards a large-scale model of patient-specific epileptic spike-wave discharges. Biological Cybernetics , 107 (1) pp. 83-94. 10.1007/s00422-012-0534-2. Green open access

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Abstract

Clinical electroencephalographic (EEG) recordings of the transition into generalised epileptic seizures show a sudden onset of spike-wave dynamics from a low-amplitude irregular background. In addition, non-trivial and variable spatio-temporal dynamics are widely reported in combined EEG/fMRI studies on the scale of the whole cortex. It is unknown whether these characteristics can be accounted for in a large-scale mathematical model with fixed heterogeneous long-range connectivities. Here, we develop a modelling framework with which to investigate such EEG features. We show that a neural field model composed of a few coupled compartments can serve as a low-dimensional prototype for the transition between irregular background dynamics and spike-wave activity. This prototype then serves as a node in a large-scale network with long-range connectivities derived from human diffusion-tensor imaging data. We examine multivariate properties in 42 clinical EEG seizure recordings from 10 patients diagnosed with typical absence epilepsy and 50 simulated seizures from the large-scale model using 10 DTI connectivity sets from humans. The model can reproduce the clinical feature of stereotypy where seizures are more similar within a patient than between patients, essentially creating a patient-specific fingerprint. We propose the approach as a feasible technique for the investigation of patient-specific large-scale epileptic features in space and time.

Type: Article
Title: Towards a large-scale model of patient-specific epileptic spike-wave discharges
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s00422-012-0534-2
Publisher version: http://dx.doi.org/10.1007/s00422-012-0534-2
Language: English
Additional information: The final publication is available at Springer via http://dx.doi.org/10.1007/s00422-012-0534-2.
Keywords: Epilepsy, EEG, Mathematical modelling, Spatio-temporal patterns, Spike-wave, Diffusion-tensor imaging
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Cell and Developmental Biology
URI: http://discovery.ucl.ac.uk/id/eprint/1517872
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