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

Gerold Baier, Marc Goodfellow, Peter N. Taylor, Yujiang Wang, Daniel J. Garry

    Research output: Contribution to journalArticlepeer-review

    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. © 2012 Baier, Goodfellow, Taylor, Wangand Garry.
    Original languageEnglish
    Article numberArticle 281
    JournalFrontiers in Physiology
    Volume3
    DOIs
    Publication statusPublished - 2012

    Keywords

    • Computational modeling
    • Electroencephalogram (EEG)
    • Epilepsy
    • Heterogeneity
    • Spatio-temporal patterns

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