The importance of modelling epileptic seizure dynamics as spatio-temporal patterns

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...

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Main Authors: Gerold eBaier, Marc eGoodfellow, Peter Neal Taylor, Yujiang eWang, Daniel James Garry
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-07-01
Series:Frontiers in Physiology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00281/full
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author Gerold eBaier
Marc eGoodfellow
Peter Neal Taylor
Yujiang eWang
Daniel James Garry
author_facet Gerold eBaier
Marc eGoodfellow
Peter Neal Taylor
Yujiang eWang
Daniel James Garry
author_sort Gerold eBaier
collection DOAJ
description 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 the impact of specific interventions.
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spelling doaj.art-fe305499fce4477c94c6d4891c2ce56a2022-12-22T03:52:03ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2012-07-01310.3389/fphys.2012.0028124520The importance of modelling epileptic seizure dynamics as spatio-temporal patternsGerold eBaier0Marc eGoodfellow1Peter Neal Taylor2Yujiang eWang3Daniel James Garry4University of ManchesterUniversity of ManchesterUniversity of ManchesterUniversity of ManchesterUniversity of ManchesterThe 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 the impact of specific interventions.http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00281/fullEpilepsySeizuresstimulationPersonalised medicineComputational modellingheterogeneity
spellingShingle Gerold eBaier
Marc eGoodfellow
Peter Neal Taylor
Yujiang eWang
Daniel James Garry
The importance of modelling epileptic seizure dynamics as spatio-temporal patterns
Frontiers in Physiology
Epilepsy
Seizures
stimulation
Personalised medicine
Computational modelling
heterogeneity
title The importance of modelling epileptic seizure dynamics as spatio-temporal patterns
title_full The importance of modelling epileptic seizure dynamics as spatio-temporal patterns
title_fullStr The importance of modelling epileptic seizure dynamics as spatio-temporal patterns
title_full_unstemmed The importance of modelling epileptic seizure dynamics as spatio-temporal patterns
title_short The importance of modelling epileptic seizure dynamics as spatio-temporal patterns
title_sort importance of modelling epileptic seizure dynamics as spatio temporal patterns
topic Epilepsy
Seizures
stimulation
Personalised medicine
Computational modelling
heterogeneity
url http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00281/full
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