Analisi dell'EEG di superficie per la predizione delle crisi epilettiche

Translated title of the contribution: Analysis of scalp EEG for epileptic seizure prediction

N. Mammone, U. Aguglia, M. Campolo, M. Fiasché, A. Gambardella, G. Inuso, A. Labate, F. La Foresta, E. Le Piane, F. C. Morabito, F. Pucci

Research output: Contribution to journalArticlepeer-review


Results in literature show that the convergence of the Short-Term Maximum Lyapunov Exponent (STLmax) time series, extracted from intracranial EEG recorded from patients affected by intractable temporal lobe epilepsy, is linked to the seizure onset. According to these results, when the STLmax profiles of different electrode sites converge and reach a critical convergence level, a seizure is likely to occur. This prediction technique was here implemented and tested over three scalp EEG recordings: one from a patient affected by partial frontal lobe epilepsy and two from a patient affected by absence seizures. The technique succeeded in predicting each one of the predictable seizures, with an average prediction horizon of 5.43 min. The technique also detected a critical area that coincided with the focus, for the patient with focal epilepsy, and with the frontal area, for the patient affected by absence seizures. Moreover, this was the first study of predictability that included generalized seizures.

Translated title of the contributionAnalysis of scalp EEG for epileptic seizure prediction
Original languageItalian
Pages (from-to)77-79
Number of pages3
JournalBollettino - Lega Italiana contro l'Epilessia
Issue number136-137
Publication statusPublished - May 2008

ASJC Scopus subject areas

  • Clinical Neurology


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