Predicting Seizures: A Behavioral Approach

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15 Scopus citations


This article reviews the clinical evidence for seizure prediction. The epilepsy cycle is considered, including the interictal, preictal, ictal, and postictal phases. Evidence suggesting that the preictal phase can sometimes be identified based on neurophysiologic signals, premonitory features, the presence of trigger factors, or self-report is discussed. Diary studies have shown that seizures are not randomly distributed in time and that a subgroup of persons with epilepsy can predict an impending seizure. Paper diary data and preliminary analysis of electronic diary data suggest that seizure prediction is feasible.

Original languageEnglish (US)
Pages (from-to)925-940
Number of pages16
JournalNeurologic Clinics
Issue number4
StatePublished - Nov 2009


  • Pre-ictal state
  • Premonitory features
  • Seizure precipitants
  • Seizure prediction
  • Trigger factors

ASJC Scopus subject areas

  • Clinical Neurology


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