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...
Main Authors: | , , , , |
---|---|
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 |
_version_ | 1811201576631533568 |
---|---|
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. |
first_indexed | 2024-04-12T02:23:58Z |
format | Article |
id | doaj.art-fe305499fce4477c94c6d4891c2ce56a |
institution | Directory Open Access Journal |
issn | 1664-042X |
language | English |
last_indexed | 2024-04-12T02:23:58Z |
publishDate | 2012-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Physiology |
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 |
work_keys_str_mv | AT geroldebaier theimportanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT marcegoodfellow theimportanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT peternealtaylor theimportanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT yujiangewang theimportanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT danieljamesgarry theimportanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT geroldebaier importanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT marcegoodfellow importanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT peternealtaylor importanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT yujiangewang importanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns AT danieljamesgarry importanceofmodellingepilepticseizuredynamicsasspatiotemporalpatterns |