Seizure prediction by non-linear time series analysis of brain electrical activity

Eur J Neurosci. 1998 Feb;10(2):786-9. doi: 10.1046/j.1460-9568.1998.00090.x.

Abstract

Brain electrical activity of 16 patients with temporal lobe epilepsy, recorded intracranially during seizure-free intervals as well as during transitions to the seizure state, was analysed using methods derived from the theory of non-linear dynamics. Long-lasting and marked changes towards low-dimensional system states were found to occur specifically up to 25 min prior to epileptic seizures and allow to predict the occurrence of individual seizures in time. These findings reflect a continuous increase in the degree of synchronicity, and thus open a window for the study of mechanisms generating seizures in humans. This offers new possibilities for therapeutic interventions.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Brain / physiopathology*
  • Electroencephalography
  • Electrophysiology
  • Epilepsy, Temporal Lobe / diagnosis
  • Epilepsy, Temporal Lobe / physiopathology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nonlinear Dynamics*
  • Seizures / diagnosis*
  • Seizures / physiopathology