Full Description
This book is to improve our understanding of mechanisms leading to seizures in humans and in developing new therapeutic options. The book covers topics such as recent approaches to seizure control, recent developments in signal processing of interest for seizure prediction, ictogenesis in complex epileptic brain networks, active probing of the pre-seizure state, non-EEG based approaches to the transition to seizures, microseizures and their role in the generation of clinical seizures, the impact of sleep and long-biological cycles on seizure prediction, as well as animal and computational models of seizures and epilepsy. Furthermore the book covers recent developments of international databases and of parallel computing structures based on Cellular Nonlinear Networks that can play an important role in the realization of a portable seizure warning device.
Contents
Epileptic Networks and Their Role for Seizure Prediction and Seizure Control: Transition Into and Out of a Focal Seizure (M De Curtis); Invasive Brain Stimulation in the Treatment of Epilepsy (M Sprengers, R Raedt, A Meurs, E Carrette, D Van Roost, P Boon and K Vonck); Computational Models of Seizures and Epilepsy: Patient-Specific Neural Mass Modeling - Stochastic and Deterministic Methods (D R Freestone, L Kuhlmann, M S Chong, D Nesic, D B Grayden); Predictability of Seizure-Like Events in a Complex Network Model of Integrate-and-Fire Neurons (A Rothkegel and K Lehnertz); Advances in Analysis and Measurement Techniques: From Time Series to Complex Networks: An Overview (S Bialonski and K Lehnertz); Seizure Prediction by Cellular Nonlinear Networks? (V Senger and R Tetzlaff); Observing the Sleep-Wake Regulatory System to Improve Prediction of Seizures (M Sedigh-Sarvestani and B J Gluckman); and other papers.
