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  1. Pubblicazioni

STLmax joint Mutual Information for Quantifying Independence in the Epileptic Brain

Capitolo di libro
Data di Pubblicazione:
2009
Citazione:
STLmax joint Mutual Information for Quantifying Independence in the Epileptic Brain / LA FORESTA, Fabio; Mammone, N; Versaci, Mario; Morabito, Francesco Carlo. - 193 (1):(2009), pp. 30-39. ( WIRN 2008 Vietri S. M. (SA), Italy May 22-24) [10.3233/978-1-58603-984-4-30].
Abstract:
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. When the STLmax profiles of different electrode sites converge (high entrainment) a seizure is likely to occur. In this paper Renyi’s Mutual information (MI) is introduced in order to investigate the independence between pairs of electrodes involved in the epileptogenesis. A scalp EEG recording and an intracranial EEG recording, including two seizures each, were analysed. STLmax was estimated for each critical electrode and then MI between couples of STLmax profiles was measured. MI showed sudden spikes that occurred 8 to 15 min before the seizure onset. Thus seizure onset appears related to a burst in MI: this suggests that seizure development might restore the independence between STLmax of critical electrode sites.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Elenco autori:
LA FORESTA, Fabio; Mammone, N; Versaci, Mario; Morabito, Francesco Carlo
Autori di Ateneo:
LA FORESTA Fabio
MORABITO Francesco Carlo
Mammone Nadia
VERSACI Mario
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/8685
Titolo del libro:
IOS Press
Pubblicato in:
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Series
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