Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications

Copyright © 2008 Wiley-VCH Verlag GmbH & Co. KGaA

Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications

Editor(s): Björn Schelter, Jens Timmer, Andreas Schulze-Bonhage

Published Online: 30 OCT 2008

Print ISBN: 9783527407569

Online ISBN: 9783527625192

DOI: 10.1002/9783527625192

About this Book

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About The Product

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.

Table of contents

    1. You have free access to this content
      Front Matter (pages I–XXXV)

    2. Chapter 1

      Unpredictability of Seizures and the Burden of Epilepsy (pages 1–10)

      Dr. Andreas Schulze-Bonhage and Anne Kühn

    3. Chapter 2

      The History of Seizure Prediction (pages 11–24)

      M. Jachan, H. Feldwisch genannt Drentrup, Dr. B Schelter and Dr. Jens Timmer

    4. Chapter 3

      Impact of Computational Models for an Improved Understanding of Ictogenesis: From Single Neurons to Networks of Neurons (pages 25–44)

      Marie-Therese Horstmann, Andy Müller, Alexander Rothkegel, Justus Schwabedal, Christian E. Elger and Klaus Lehnertz

    5. Chapter 4

      Effective and Anatomical Connectivity in a Rat Model of Spontaneous Limbic Seizure (pages 45–59)

      Paul R. Carney, Alex Cadotte, Thomas B. Demarse, Baba Vemuri, Thomas H. Mareci and William Ditto

    6. Chapter 5

      Network Models of Epileptiform Activity: Explorations in Seizure Evolution and Alteration (pages 61–81)

      Pawel Kudela, William S. Anderson, Piotr J. Franaszczuk and Gregory K. Bergey

    7. Chapter 6

      Recurrent Cortical Network Activity and Modulation of Synaptic Transmission (pages 83–95)

      Yousheng Shu

    8. Chapter 7

      Epilepsy as a Disease of the Dynamics of Neuronal Networks – Models and Predictions (pages 97–107)

      Fernando Lopes da Silva

    9. Chapter 8

      Neuronal Synchronization and the ‘Ictio-Centric’ vs the Network Theory for Ictiogenesis: Mechanistic and Therapeutic Implications for Clinical Epileptology (pages 109–115)

      Ivan Osorio, Mark G. Frei and Ying-Cheng Lai

    10. Chapter 9

      Cellular Neural Networks and Seizure Prediction: An Overview (pages 117–129)

      P. Fischer, F. Gollas, R. Kunz, C. Niederhöfer, H. Reichau and R. Tetzlaff

    11. Chapter 10

      Time Series Analysis with Cellular Neural Networks (pages 131–148)

      Anton Chernihovskyi, Dieter Krug, Christian E. Elger and Klaus Lehnertz

    12. Chapter 11

      Intrinsic Cortical Mechanisms which Oppose Epileptiform Activity: Implications for Seizure Prediction (pages 149–161)

      Andrew J. Trevelyan

    13. Chapter 12

      Is Prediction of the Time of a Seizure Onset the Only Value of Seizure-Prediction Studies? (pages 163–168)

      Anatol Bragin and Jerome Engel

    14. Chapter 13

      High-Frequency Pre-Seizure Activity and Seizure Prediction (pages 169–173)

      Premysl Jiruska and John G. R. Jefferys

    15. Chapter 14

      Characterizing the Epileptic Process with Stochastic Qualifiers of Brain Dynamics (pages 175–188)

      Jens Prusseit, Christian E. Elger and Klaus Lehnertz

    16. Chapter 15

      Bivariate and Multivariate Time Series Analysis Techniques and their Potential Impact for Seizure Prediction (pages 189–208)

      Hannes Osterhage, Stephan Bialonski, Matthäus Staniek, Kaspar Schindler, Tobias Wagner, Christian E. Elger and Klaus Lehnertz

    17. Chapter 16

      A Multivariate Approach to Correlation Analysis Based on Random Matrix Theory (pages 209–226)

      Markus Müller, Gerold Baier, Christian Rummel, Kaspar Schindler and Ulrich Stephani

    18. Chapter 17

      Seizure Prediction in Epilepsy: Does a Combination of Methods Help? (pages 227–236)

      Hinnerk Feldwisch genannt Drentrup, Michael Jachan and Dr. Björn Schelter

    19. Chapter 18

      Can Your Prediction Algorithm Beat a Random Predictor? (pages 237–248)

      Dr. Björn Schelter, Ralph G. Andrzejak and Florian Mormann

    20. Chapter 19

      Testing a Prediction Algorithm: Assessment of Performance (pages 249–259)

      J. Chris Sackellares, Deng-Shan Shiau, Kevin M. Kelly and Sandeep P. Nair

    21. Chapter 20

      Considerations on Database Requirements for Seizure Prediction (pages 261–267)

      Carolin Gierschner and Dr. Andreas Schulze-Bonhage

    22. Chapter 21

      Beyond Prediction – Focal Cooling and Optical Activation to Terminate Focal Seizures (pages 269–282)

      Steven M. Rothman

    23. Chapter 22

      Vagus Nerve and Hippocampal Stimulation for Refractory Epilepsy (pages 283–297)

      Paul Boon, Veerle De Herdt, Annelies Van Dycke, Tine Wyckhuys, Liesbeth Waterschoot, Riem El Tahry, Dirk Van Roost, Robrecht Raedt, Wytse Wadman and Kristl Vonck

    24. Chapter 23

      Responsive Neurostimulation for the Treatment of Epileptic Seizures (pages 299–306)

      Gregory K. Bergey

    25. Chapter 24

      Chronic Anterior Thalamic Deep-Brain Stimulation as a Treatment for Intractable Epilepsy (pages 307–316)

      Richard Wennberg

    26. Chapter 25

      Thoughts about Seizure Prediction from the Perspective of a Clinical Neurophysiologist (pages 317–323)

      Demetrios N. Velis

    27. Chapter 26

      State of Seizure Prediction: A Report on Informal Discussions with Participants of the Third International Workshop on Seizure Prediction (pages 325–330)

      Hitten P. Zaveri, Mark G. Frei and Ivan Osorio

    28. You have free access to this content
      Index (pages 331–334)

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