Algorithms and topographic mapping for epileptic seizures recognition and prediction

N. Mammone, F. La Foresta, G. Inuso, F. C. Morabito, U. Aguglia, V. Cianci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Epileptic seizures seem to result from an abnormal synchronization of different areas of the brain, as if a kind of recruitment occurred from a critical area towards other areas of the brain, until the brain can no longer bear the extent of this recruitment and it triggers the seizure in order to reset this abnormal condition. In order to catch these recruitment phenomena, a technique based on entropy is introduced to study the synchronization of the electric activity of neuronal sources in the brain. This technique was tested over 25 EEG dataset from patients affected by absence seizures as well as on 40 EEG dataset from healthy subjects. The results show an abnormal coupling among the electrodes that will be involved in seizure development can be hypothesized before the seizure itself, in particular, the frontal/temporal area appears steadily associated to an underlying high synchrony in absence seizure patients.

Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Pages261-270
Number of pages10
Volume204
ISBN (Print)9781607500728
DOIs
Publication statusPublished - 2009

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume204
ISSN (Print)09226389

Keywords

  • Brain mapping
  • Electroencephalography
  • Entropy
  • Epilepsy

ASJC Scopus subject areas

  • Artificial Intelligence

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