Recent advances in predicting and preventing epileptic seizures / edited by Ronald Tetzlaff, Technische Universitat Dresden, Germany, Christian E. Elger, Universitatsklinikum Bonn, Germany, Klaus Lehnertz, Universitatsklinikum Bonn, Germany.

Format:

Book

Conference/Event

Contributor:

Tetzlaff, Ronald, editor.

Elger, C. E. (Christian Erich), editor.

Lehnertz, K. (Klaus), editor.

Conference Name:

International Workshop on Epileptic Seizure Prediction (5th : 2011 : Dresden, Germany)

Series:

Gale eBooks

Language:

English

Subjects (All):

Epilepsy--Prevention--Congresses.

Epilepsy.

Convulsions--Forecasting--Congresses.

Convulsions.

Epilepsy--Congresses.

Physical Description:

1 online resource (ix, 291 pages) : illustrations (some color)

Place of Publication:

New Jersey : World Scientific, [2013]

Language Note:

English

Summary:

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 mode

Contents:

Contents; Preface; Epileptic networks and their role for seizure predictionand seizure control; M. de CurtisTransition into and out of a focal seizure; REFERENCES; P. Jiruska, F. Mormann, J. G. R. Jefferys Neuronal and network dynamics preceding experimental seizures; 1. Introduction; 2. Critical transition and early warning indicators; 3. Preictal dynamics in in vitro models of seizures; 4. Active probing of the network dynamics; 5. Critical transition and seizure onset; 6. Mechanisms of transition to seizure - small stochastic perturbations; 7. Conclusions and therapeutic implications

AcknowledgmentsReferences; A. Schulze-Bonhage Interictal EEG and its relevance for seizure prediction; 1. Introduction; 2. Interictal versus ictal activity: general properties and physiological activity; 3. Interictal abnormal activity: unspecific changes vs. epileptic patterns; 4. Fast interictal discharges; 5. High frequency oscillations; 6. Preictal spiking; 7. Subclinical electrographic seizure patterns; 8. Conclusions; Acknowledgments; References; M. Sprengers, R. Raedt, A. Meurs, E. Carrette, D. van Roost,P. Boon, K. Vonck Invasive brain stimulation in the treatment of epilepsy

1. Introduction1.1. General Introduction; 1.2. Historical Background; 1.3. Classification of Intracranial Neurostimulation; 2. Overview of the Different Targets; 2.1. Cerebellar Stimulation; 2.2. Anterior Thalamic Nucleus Stimulation; 2.3. Hippocampal Stimulation; 2.4. Centromedian Thalamic Stimulation; 2.5. Subthalamic Nucleus Stimulation; 2.6. Caudate Nucleus Stimulation; 2.7. Various Targets; 2.8. Closed-loop Stimulation; 3. Conclusions and Future Perspectives; Acknowledgments; References; Computational Models of Seizures and Epilepsy

D. R. Freestone, L. Kuhlmann, M. S. Chong, D. Nesic, D. B. Grayden Patient-specific neural mass modeling - Stochastic and deterministic methods1. Introduction; 2. Neural Mass Model; 2.1. Synthetic Data; 3. Deterministic Estimation: Adaptive Observer; 3.1. Demonstration of Adaptive Observer using ECoG Data Simulation; 4. Stochastic Estimation; 4.1. Demonstration of UKF using ECoG Data Simulation; 4.2. Demonstration of using Real ECoG Data; 4.2.1. ECoG Data; 4.2.2. Parameter Estimates; 5. Discussion; Acknowledgments; References

Y. Wang, M. Goodfellow, P. N. Taylor, D. J. Garry, G. Baier Computational modelling of microseizures and focal seizure onset1. Introduction; 2. Model details; 2.1. Single unit dynamics; 2.2. Cortical sheet model; 2.3. Connectivity between units; 3. Results; 3.1. Non-epileptic state; 3.2. Epileptic state; 3.3. The effect of reducing connections; 4. Discussion; References; A. Rothkegel, K. Lehnertz Predictability of seizure-like events in a complex network mode lof integrate-and-fire neurons; 1. Introduction; 2. The Model; 3. Constant Parameters; 4. Time-dependent Parameters; 5. Conclusions

References

Notes:

Includes bibliographical references.

Description based on online resource; title from PDF tile page (ebrary, viwed October 18, 2013).

Proceedings of the 5th International Workshop on Seizure Prediction held in Dresden, Germany in September 2011.

ISBN:

9789814525350

9814525359

OCLC:

860388346