Algorithms and topographic mapping for epileptic seizures recognition and prediction

  • Authors:

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

  • Affiliations:

  • DIMET --“Mediterranea” University of Reggio Calabria, Italy;DIMET --“Mediterranea” University of Reggio Calabria, Italy;DIMET --“Mediterranea” University of Reggio Calabria, Italy;DIMET --“Mediterranea” University of Reggio Calabria, Italy;Epilepsy Regional Center, Università Magna Graecia di Catanzaro, Presidio Riuniti Reggio Calabria, Italy;Epilepsy Regional Center, Università Magna Graecia di Catanzaro, Presidio Riuniti Reggio Calabria, Italy

  • Venue:
  • Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
  • Year:
  • 2009

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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.