Comprising some 30 contributions, experts from around the world present and discuss recent advances related to seizure prediction in epilepsy. The book covers an extraordinarily broad spectrum, starting from modeling epilepsy in single cells or networks of a few cells to precisely-tailored seizure prediction techniques as applied to human data. This unique overview of our current level of knowledge and future perspectives provides theoreticians as well as practitioners, newcomers and experts with an up-to-date survey of developments in this important field of research.
Author(s): Björn Schelter, Jens Timmer, Andreas Schulze-Bonhage
Edition: 1
Publisher: Wiley-VCH
Year: 2008
Language: English
Pages: 355
Tags: Медицинские дисциплины;Неврология и нейрохирургия;
Cover......Page 1
Seizure Prediction in Epilepsy......Page 2
Related Titles......Page 3
Title......Page 4
The Editors and Copyright......Page 5
Contents......Page 6
Preface......Page 15
Thanks......Page 17
List of Contributors......Page 18
Color Plates......Page 25
Unpredictability of Seizures and the Burden of Epilepsy......Page 34
The History of Seizure Prediction......Page 44
Impact of Computational Models for an Improved
Understanding of Ictogenesis: From Single Neurons
to Networks of Neurons......Page 58
Effective and Anatomical Connectivity in a Rat Model of
Spontaneous Limbic Seizure......Page 78
Network Models of Epileptiform Activity: Explorations in Seizure
Evolution and Alteration......Page 93
Recurrent Cortical Network Activity and Modulation of Synaptic
Transmission......Page 114
Epilepsy as a Disease of the Dynamics of Neuronal
Networks – Models and Predictions......Page 127
Neuronal Synchronization and the ‘Ictio-centric’ vs the Network
Theory for Ictiogenesis: Mechanistic and Therapeutic
Implications for Clinical Epileptology......Page 138
Cellular Neural Networks and Seizure Prediction: An Overview......Page 145
Time Series Analysis with Cellular Neural Networks......Page 158
Intrinsic Cortical Mechanisms which Oppose Epileptiform
Activity: Implications for Seizure Prediction......Page 176
Is Prediction of the Time of a Seizure Onset the Only Value
of Seizure-prediction Studies?......Page 189
High-frequency Pre-seizure Activity and Seizure Prediction......Page 195
Characterizing the Epileptic Process with Stochastic Qualifiers
of Brain Dynamics......Page 200
Bivariate and Multivariate Time Series Analysis Techniques
and their Potential Impact for Seizure Prediction......Page 214
A Multivariate Approach to Correlation Analysis Based
on Random Matrix Theory......Page 234
Seizure Prediction in Epilepsy: Does a Combination of Methods
Help?......Page 252
Can Your Prediction Algorithm Beat a Random Predictor?......Page 262
Testing a Prediction Algorithm: Assessment of Performance......Page 274
Considerations on Database Requirements for Seizure
Prediction......Page 285
Beyond Prediction – Focal Cooling and Optical Activation
to Terminate Focal Seizures......Page 292
Vagus Nerve and Hippocampal Stimulation for Refractory
Epilepsy......Page 306
Responsive Neurostimulation for the Treatment of Epileptic
Seizures......Page 321
Chronic Anterior Thalamic Deep-brain Stimulation
as a Treatment for Intractable Epilepsy......Page 329
Thoughts about Seizure Prediction from the Perspective
of a Clinical Neurophysiologist......Page 339
State of Seizure Prediction: A Report on Informal Discussions
with Participants of the Third International Workshop on Seizure
Prediction......Page 346
index......Page 352
