Title
STLmax joint Mutual Information for quantifying independence in the epileptic brain
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.
Year
Venue
Keywords
2008
WIRN
seizure onset,intracranial eeg,critical electrode,seizure development,critical electrode site,scalp eeg recording,stlmax joint mutual information,intracranial eeg recording,stlmax profile,epileptic brain,mutual information,different electrode sites converge,quantifying independence,chaos theory,electroencephalography
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Nadia Mammone113619.69
Fabio La Foresta29315.69
Francesco C. Morabito3175.46
Mario Versaci45115.70