Clustering of entropy topography in epileptic electroencephalography

Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco C. Morabito

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 itself can no longer bear the extent of this recruitment and 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 and tested over three EEG dataset from patients affected by partial epilepsy. Entropy showed a very steady spatial distribution and appeared linked to the region of seizure onset. Entropy mapping was compared with the standard power mapping that was much less stable and selective. A SOM based spatial clustering of entropy topography showed that the critical electrodes were coupled together long time before the seizure onset.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
Pages453-462
Number of pages10
Volume43 CCIS
DOIs
Publication statusPublished - 2009
Event11th International Conference on Engineering Applications of Neural Networks, EANN 2009 - London, United Kingdom
Duration: Aug 27 2009Aug 29 2009

Publication series

NameCommunications in Computer and Information Science
Volume43 CCIS
ISSN (Print)18650929

Other

Other11th International Conference on Engineering Applications of Neural Networks, EANN 2009
CountryUnited Kingdom
CityLondon
Period8/27/098/29/09

Keywords

  • Electroencephalography
  • Epilepsy
  • Renyi's Entropy
  • SOM

ASJC Scopus subject areas

  • Computer Science(all)

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