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Recent Advances In Predicting And Preventing Epileptic Seizures

RECENT ADV IN PREDICTING & PREVENTNG EPILEPTIC SEIZURES

Diseases & Conditions

Health, Medicine & Nursing

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Preface.
Contents.
1: Epileptic Networks and Their Role for Seizure Prediction and Seizure Control.
2: Transition into and out of a Focal Seizure.
3: Neuronal and Network Dynamics Preceding Experimental Seizures.
4: Interictal EEG and Its Relevance for Seizure Prediction.
5: Invasive Brain Stimulation in the Treatment of Epilepsy.
6: Computational Models of Seizures and Epilepsy.
7: Patient-specific Neural Mass Modeling - Stochastic and Deterministic Methods.
8: Computational Modelling of Microseizures and Focal Seizure Onset.
9: Predictability of Seizure-like Events in a Complex Network Model of Integrate-and-fire Neurons.
10: Bursting and Synchrony in Networks of Model Neurons.
11: Advances in Analysis and Measurement Techniques.
12: Signal Processing of the EEG: Approaches Tailored to Epilepsy.
13: From Time Series to Complex Networks: An Overview.
14: Visualizing and Quantifying EEG Complexity on the Base of Ordinal Pattern Distributions.
15: Dynamics of Linear and Nonlinear Interrelation Networks in Peri-ictal Intracranial EEG: Seizure Onset and Termination.
16: On the Centrality of the Focus in Human Epileptic Brain Networks.
17: Pre-seizure States in Epileptic Brain Networks: A Surrogate-assisted, Weighted Network Analysis.
18: Network Analysis of Generalized Epileptic Discharges.
19: Signal Processing Platform Based on Cellular Nonlinear Networks.
20: Seizure Prediction by Cellular Nonlinear Networks?.
21: Measuring Directed Interactions Using Cellular Neural Networks with Complex Connection Topologies.
22: Seizure Prediction Using Optical Measurements of Blood Flow and Oxygenation.
23: Observing the Sleep-wake Regulatory System to Improve Prediction of Seizures.
24: The World&#x0027;s Largest Epilepsy Database: Content and Structure.

Recent Advances In Predicting And Preventing Epileptic Seizures.css-1p8rvzy{position:absolute;padding-left:8px;}

Recent Advances In Predicting And Preventing Epileptic Seizures