title: The importance of modeling epileptic seizure dynamics as spatio-temporal patterns.
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.
authors.affiliation: DTC Integrative Systems Biology, Manchester Interdisciplinary Biocentre, The University of Manchester Manchester, UK.
authors.forename: Gerold
authors.initials: G
authors.lastname: Baier
authors.forename: Marc
authors.initials: M
authors.lastname: Goodfellow
authors.forename: Peter N
authors.initials: PN
authors.lastname: Taylor
authors.forename: Yujiang
authors.initials: Y
authors.lastname: Wang
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Garry