Baier, G;
Goodfellow, M;
Taylor, PN;
Wang, Y;
Garry, DJ;
(2012)
The importance of modeling epileptic seizure dynamics as spatio-temporal patterns.
Frontiers in Physiology
, 3
10.3389/fphys.2012.00281.
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Abstract
The occurrence of seizures is the common feature across the spectrum of epileptic disorders. We describe how the use of mechanistic neural population models leads to novel insight into the dynamic mechanisms underlying two important types of epileptic seizures. We specifically stress the need for a spatio-temporal description of the rhythms to deal with the complexity of the pathophenotype. Adapted to functional and structural patient data, the macroscopic models may allow a patient-specific description of seizures and prediction of treatment outcome.
| Type: | Article |
|---|---|
| Title: | The importance of modeling epileptic seizure dynamics as spatio-temporal patterns |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fphys.2012.00281 |
| Publisher version: | http://dx.doi.org/10.3389/fphys.2012.00281 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. Article under Creative commons licence 4.0 http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Computational modeling, electroencephalogram (EEG), epilepsy, heterogeneity, spatio-temporal patterns |
| UCL classification: | UCL 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: | https://discovery.ucl.ac.uk/id/eprint/1517873 |
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