Recent Advances in Predicting and Preventing Epileptic Seizures
eBook - ePub

Recent Advances in Predicting and Preventing Epileptic Seizures

Proceedings of the 5th International Workshop on Seizure Prediction Technische Universität Dresden, Germany, 18 – 23 September 2011

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Recent Advances in Predicting and Preventing Epileptic Seizures

Proceedings of the 5th International Workshop on Seizure Prediction Technische Universität Dresden, Germany, 18 – 23 September 2011

About this book

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)
    • Neuronal and Network Dynamics Preceding Experimental Seizures (P Jiruska, F Mormann and J G R Jefferys)
    • Interictal EEG and Its Relevance for Seizure Prediction (A Schulze-Bonhage)
    • 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 and D B Grayden)
    • Computational Modelling of Microseizures and Focal Seizure Onset (Y Wang, M Goodfellow, P N Taylor, D J Garry and G Baier)
    • Predictability of Seizure-Like Events in a Complex Network Model of Integrate-and-Fire Neurons (A Rothkegel and K Lehnertz)
    • Bursting and Synchrony in Networks of Model Neurons (C Geier, A Rothkegel and K Lehnertz)
  • Advances in Analysis and Measurement Techniques:
    • Signal Processing of the EEG: Approaches Tailored to Epilepsy (B Schelter, M Thiel, M Mader and W Mader)
    • From Time Series to Complex Networks: An Overview (S Bialonski and K Lehnertz)
    • Visualizing and Quantifying EEG Complexity on the Base of Ordinal Pattern Distributions (K Keller)
    • Dynamics of Linear and Nonlinear Interrelation Networks in Peri-Ictal Intracranial EEG: Seizure Onset and Termination (C Rummel, M Müller, M Hauf, R Wiest and K Schindler)
    • On the Centrality of the Focus in Human Epileptic Brain Networks (C Geier, M-T Kuhnert, C E Elger and K Lehnertz)
    • Pre-Seizure States in Epileptic Brain Nnetworks: A Surrogate-Assisted, Weighted Network Analysis (G Ansmann, M-T Kuhnert, C E Elger and K Lehnertz)
    • Network Analysis of Generalized Epileptic Discharges (P Ossenblok, P van Houdt, A Lüttjohann and G van Luijtelaar)
    • Signal Processing Platform Based on Cellular Nonlinear Networks (J Müller, J Müller, R Becker and R Tetzlaff)
    • Seizure Prediction by Cellular Nonlinear Networks? (V Senger and R Tetzlaff)
    • Measuring Directed Interactions Using Cellular Neural Networks with Complex Connection Topologies (H Dickten, C E Elger and K Lehnertz)
    • Seizure Prediction Using Optical Measurements of Blood Flow and Oxygenation (M Zhao, H Ma and T H Schwartz)
    • Observing the Sleep-Wake Regulatory System to Improve Prediction of Seizures (M Sedigh-Sarvestani and B J Gluckman)
    • The World's Largest Epilepsy Database: Content and Structure (M Ihle, B Schelter, J Timmer and A Schulze-Bonhage)


Readership: Graduate students and professionals in the field of epileptology, neurosurgery and neuroscience.

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Yes, you can access Recent Advances in Predicting and Preventing Epileptic Seizures by Ronald Tetzlaff, Christian E Elger, Klaus Lehnertz in PDF and/or ePUB format, as well as other popular books in Computer Science & Neural Networks. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. halftitle Page
  3. Title Page
  4. Copyright
  5. Preface
  6. Contents
  7. Epileptic networks and their role for seizure prediction and seizure control
  8. M. de Curtis Transition into and out of a focal seizure
  9. P. Jiruska, F. Mormann, J. G. R. Jefferys Neuronal and network dynamics preceding experimental seizures
  10. A. Schulze-Bonhage Interictal EEG and its relevance for seizure prediction
  11. M. Sprengers, R. Raedt, A. Meurs, E. Carrette, D. van Roost, P. Boon, K. Vonck Invasive brain stimulation in the treatment of epilepsy
  12. Computational Models of Seizures and Epilepsy
  13. D. R. Freestone, L. Kuhlmann, M. S. Chong, D. Nesic, D. B. Grayden Patient-specific neural mass modeling - Stochastic and deterministic methods Y. Wang, M. Goodfellow, P. N. Taylor, D. J. Garry, G. Baier
  14. Computational modelling of microseizures and focal seizure onset A. Rothkegel, K. Lehnertz
  15. Predictability of seizure-like events in a complex network model of integrate-and-fire neurons
  16. C. Geier, A. Rothkegel, K. Lehnertz Bursting and synchrony in networks of model neurons
  17. Advances in Analysis and Measurement Techniques
  18. B. Schelter, M. Thiel, M. Mader, W. Mader Signal processing of the EEG: Approaches tailored to epilepsy
  19. S. Bialonski, K. Lehnertz From time series to complex networks: An overview
  20. K. Keller Visualizing and quantifying EEG complexity on the base of ordinal pattern distributions
  21. C. Rummel, M. MĂźller, M. Hauf, R. Wiest, K. Schindler Dynamics of linear and nonlinear interrelation networks in peri-ictal intracranial EEG: Seizure onset and termination
  22. C. Geier, M.-T. Kuhnert, C. E. Elger, K. Lehnertz On the centrality of the focus in human epileptic brain networks
  23. G. Ansmann, M.-T. Kuhnert, C. E. Elger, K. Lehnertz Pre-seizure states in epileptic brain networks: A surrogate-assisted, weighted network analysis
  24. P. Ossenblok, P. van Houdt, A. LĂźttjohann, G. van Luijtelaar Network analysis of generalized epileptic discharges
  25. J. MĂźller, J. MĂźller, R. Becker, R. Tetzlaff Signal processing platform based on cellular nonlinear networks
  26. V. Senger, R. Tetzlaff Seizure prediction by cellular nonlinear networks?
  27. H. Dickten, C. E. Elger, K. Lehnertz Measuring directed interactions using cellular neural networks with complex connection topologies
  28. M. Zhao, H. Ma, T. H. Schwartz Seizure prediction using optical measurements of blood flow and oxygenation
  29. M. Sedigh-Sarvestani, B. J. Gluckman Observing the sleep-wake regulatory system to improve prediction of seizures
  30. M. Ihle, B. Schelter, J. Timmer, A. Schulze-Bonhage The world's largest epilepsy database: Content and structure