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 ArticleOtherpeer-review

33 Citations (Scopus)


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
Pages (from-to)220-226
Number of pages17
JournalJournal of Clinical Neurophysiology
Issue number3
Publication statusPublished - Jun 2015
Externally publishedYes


  • Epilepsy
  • Inference
  • Multiple scales
  • Neural modeling
  • Seizure forecasting
  • Seizure prediction

Cite this