2005/06/07 by M. Escalona-Moran, M. Escalona-Morán, M. G. Cosenza +7
Biochemistry, Genetics and Molecular Biology · Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Complex Systems and Time Series Analysis #FOS: Physical sciences #Fractal and DNA sequence analysis #Neural Networks and Applications #nlin.CD
paper · pdf · doi:10.48550/arxiv.nlin/0506014
11 pages, 4 figures
arxiv created 2005/06/07 · openalex publication_date 2005/06/07 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The degree of synchronization and the amount of dynamical cluster formation in electroencephalographic (EEG) signals are characterized by employing two order parameters introduced in the context of coupled chaotic systems subject to external noise. These parameters are calculated in EEG signals from a group of healthy subjects and a group of epileptic patients, including a patient experiencing an epileptic crisis. The evolution of these parameters shows the occurrence of intermittent synchronization and clustering in the brain activity during an epileptic crisis. Significantly, the existence of an instantaneous maximum of synchronization previous to the onset of a crisis is revealed by this procedure. The mean values of the order parameters and their standard deviations are compared between both groups of individuals.