Assessment of Linear and Nonlinear Synchronization Measures for Analyzing EEG in a Mild Epileptic Paradigm

• Published in: IEEE transactions on information technology in biomedicine Vol. 13; no. 4; pp. 433 - 441
• Main Authors: Sakkalis, V., Giurcaneanu, C.D., Xanthopoulos, P., Zervakis, M.E., Tsiaras, V., Yang, Y., Karakonstantaki, E., Micheloyannis, S.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2009
• Subjects: Algorithms; Brain; Child; Coherence; Cortical Synchronization - methods; coupling; Drugs; EEG; Electroencephalography; Epilepsy; Epilepsy - physiopathology; fractal patterns; Fractals; Humans; Length measurement; Linear Models; Models, Neurological; Noise robustness; nonlinear analysis; Nonlinear Dynamics; Performance evaluation; Phase measurement; Signal Processing, Computer-Assisted; surrogate data; synchronization; Testing; Brain; Fractal patterns; EEG; Epilepsy; Nonlinear analysis; Coupling; Surrogate data; Synchronization

Epilepsy is one of the most common brain disorders and may result in brain dysfunction and cognitive disturbances. Epileptic seizures usually begin in childhood without being accommodated by brain damage and are tolerated by drugs that produce no brain dysfunction. In this study, cognitive function...