Role of multiple-scale modeling of epilepsy in seizure forecasting

Levin Kuhlmann, David B. Grayden, Fabrice Wendling, Steven J. Schiff

Research output: Contribution to journalReview article

19 Scopus citations

Abstract

Over the past three decades, a number of seizure prediction, or forecasting, methods have been developed. Although major achievements were accomplished regarding the statistical evaluation of proposed algorithms, it is recognized that further progress is still necessary for clinical application in patients. The lack of physiological motivation can partly explain this limitation. Therefore, a natural question is raised: can computational models of epilepsy be used to improve these methods? Here, we review the literature on the multiple-scale neural modeling of epilepsy and the use of such models to infer physiologic changes underlying epilepsy and epileptic seizures. The authors argue how these methods can be applied to advance the state-of-the-art in seizure forecasting.

Original languageEnglish (US)
Pages (from-to)220-226
Number of pages7
JournalJournal of Clinical Neurophysiology
Volume32
Issue number3
DOIs
StatePublished - Jun 3 2015

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All Science Journal Classification (ASJC) codes

  • Physiology
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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