Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics, 1st Edition (Paperback) book cover


The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics, 1st Edition

Edited by Ivan Osorio, Hitten P. Zaveri, Mark G. Frei, Susan Arthurs

CRC Press

578 pages | 192 B/W Illus.

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Epilepsy, one of the most prevalent neurological disorders, affects approximately 1% (greater than 60 million) of the world's population. In an estimated 20 million of these patients, seizures are not controlled even by multiple anti-seizure drugs, and are extremely difficult to predict. Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics seamlessly brings together the neurosciences, mathematics, computational sciences, engineering, physics, and clinical epileptology to present to readers a highly didactic, integrated, clear and practically useful knowledge base and research directions.

Laying out the foundations of signal analysis, data conditioning, linear and non-linear analysis, introduction to dynamical systems and fundamental anatomical and neurophysiological concepts, this book:

  • Introduces non-physicians to language and concepts necessary to establish a meaningful dialog with epileptologists
  • Introduces physicians to dynamical theory and signal processing without which interdisciplinary collaborations would not be productive
  • Mines knowledge from fields devoted to the investigation of aperiodic paroxysmal relaxation phenomena, such as earthquakes, which bear dynamical similarities with epilepsy, so as to lay the proper scientific foundations for epileptology and foster much needed therapeutic advances efficiently
  • Reviews spatiotemporal behavior of seizures, mechanisms of epileptogenesis and ictogenesis as well as of seizure control and ancillary technology
  • Calls attention to nocturnal frontal lobe epilepsy as a potentially fruitful paradigm for advancing seizure prediction.

Of all neurological disorders, epilepsy demands of investigators the broadest and deepest knowledge of dynamical, control, and system theories, knowledge that cannot be amassed without possessing a certain level of sophistication in relevant areas of neurosciences, physics, mathematics, and engineering. Narrowing the inescapable cultural chasm that commonly fragments multidisciplinary efforts, this book captures and enriches the burgeoning interdisciplinary synergism in the nascent field of dynamical epileptology.

Table of Contents

Foundations of Epilepsy

Neuroanatomy as Applicable to Epilepsy: Gross and Microscopic Anatomy/ Histology

Taufik A. Valiante

Introduction to EEG for Nonepileptologists Working in Seizure Prediction and Dynamics

Richard Wennberg

Basic Mechanisms of Seizure Generation

John G. R. Jefferys and Premysl Jiruska

An Introduction to Epileptiform Activities and Seizure Patterns Obtained by Scalp and Invasive EEG Recordings

Andreas Schulze-Bonhage

Seizures and Epilepsy: An Overview

Steven Weinstein

Foundations of Engineering, Math, and Physics

Intracranial EEG: Electrodes, Filtering, Amplification, Digitization, Storage, and Display

Hitten P. Zaveri and Mark G. Frei

Time-Frequency Energy Analysis.

Piotr J. Franaszczuk

Neurodynamics and Ion Channels: A Tutorial.

John G. Milton

Nonlinear Time Series Analysis in a Nutshell

Ralph Gregor Andrzejak

How to Detect and Quantify Epileptic Seizures

Sridhar Sunderam

Seizure Time Series Analysis II: Automated Prediction and Assessment of Seizure Prediction Algorithms

Florian Mormann, Klaus Lehnertz, and Ralph Gregor Andrzejak

Autonomous State Transitions in the Epileptic Brain: Anticipation and Control

Stiliyan N. Kalitzin, Demetrios N. Velis, and Fernando Lopes da Silva

The Challenge of Prediction


Didier Sornette and Ivan Osorio

The State of Seizure Prediction: Seizure Prediction and Detection

Impact of Biases in the False-Positive Rate on Null Hypothesis Testing..

Ralph Gregor Andrzejak, Daniel Chicharro, and Florian Mormann

Seizure Prediction: An Approach Using Probabilistic Forecasting..

Bjoern Schelter, Hinnerk Feldwisch-Drentrup, Andreas Schulze-Bonhage, and Jens Timmer

Seizure Prediction and Detection Research at Optima Neuroscience

Deng-Shan Shiau, Jui-Hong Chien, Ryan T. Kern, Panos M. Pardalos, and J. Chris Sackellares

Preictal Directed Interactions in Epileptic Brain Networks

Klaus Lehnertz, Dieter Krug, Matthäus Staniek, Dennis Glüsenkamp, and Christian E. Elger

Seizure Prediction and Observability of EEG Sources

Elma O’Sullivan-Greene, Levin Kuhlmann, Andrea Varsavsky, David B. Grayden, Anthony N. Burkitt, and Iven M. Y. Mareels

Circadian Regulation of Neural Excitability in Temporal Lobe Epilepsy

Paul R. Carney, Sachin S. Talathi, Dong-Uk Hwang, and William Ditto

Use of Dynamical Measures in Prediction and Control of Focal and Generalized Epilepsy

Shivkumar Sabesan, Leon Iasemidis, Konstantinos Tsakalis,David M. Treiman, and Joseph Sirven

Time-Series-Based Real-T ime Seizure Prediction

Pooja Rajdev and Pedro P. Irazoqui

Optimizing Seizure Detection Algorithms toward the Development of Implantable Epilepsy Prostheses

Shriram Raghunathan and Pedro P. Irazoqui

Initiation and Termination of Seizure-Like Activity in Small-World Neural Networks

Alexander Rothkegel, Christian E. Elger, and Klaus Lehnertz

Are Interaction Clusters in Epileptic Networks Predictive of Seizures?

Stephan Bialonski, Christian E. Elger, and Klaus Lehnertz

Preictal Spikes in the Hippocampus of Patients with Mesial Temporal Lobe Epilepsy

C. Alvarado-Rojas, M. Valderrama, G. Huberfeld, and M. Le Van Quyen

The State of Seizure Prediction: Seizure Generation

Microanalysis and Macroanalysis of High-Frequency Oscillations in the Human Brain

B. Crépon, M. Valderrama, C. Alvarado-Rojas, V. Navarro, and M. Le Van Quyen

The State of Seizure Prediction: Seizure Control

Vagus Nerve Stimulation Triggered by Machine Learning–Based Seizure Detection: Initial Implementation and Evaluation

Ali Shoeb, Trudy Pang, John V. Guttag, and Steven C. Schachter

Low-Frequency Stimulation as a Therapy for Epilepsy

Jeffrey H. Goodman

The State of Seizure Prediction: Technology

Large-Scale Electrophysiology: Acquisition, Storage, and Analysis

Matt Stead, Mark R. Bower, Benjamin H. Brinkmann, Christopher Warren, and Gregory A. Worrell

EPILAB: A MATLAB® Platform for Multifeature and Multialgorithm Seizure Prediction

B. Direito, R. P. Costa, H. Feldwisch, M. Valderrama, S. Nikolopoulos, B. Schelter, M. Jachan, C. A. Teixeira, L. Aires, J.Timmer, M. Le Van Quyen, and A. Dourado

Emerging Technologies for Brain-Implantable Devices

Bruce Lanning, Bharat S. Joshi, Themis R. Kyriakides, Dennis D. Spencer, and Hitten P. Zaveri

Nocturnal Frontal Lobe Epilepsy: A Paradigm for Seizure Prediction?

Familial and Sporadic Nocturnal Frontal Lobe Epilepsy (NFLE)— Electroclinical Features

Gholam K. Motamedi and Ronald P. Lesser

Nicotinic Acetylcholine Receptors in Circuit Excitability and Epilepsy: The Many Faces of Nocturnal Frontal Lobe Epilepsy

Ortrud K. Steinlein and Daniel Bertrand

Channelopathies in Epileptology

Frank Lehmann-Horn, Holger Lerche, Yvonne Weber, and Karin Jurkat-Rott

Autosomal Dominant Nocturnal Frontal Lobe Epilepsy: Excessive Inhibition?

Molly N. Brown and Gregory C. Mathews

How to Measure Circadian Rhythmicity in Humans

Wytske A. Hofstra and Al W. de Weerd

Seizure Prediction and the Circadian Rhythm

Tyler S. Durazzo and Hitten P. Zaveri

Nocturnal Frontal Lobe Epilepsy: Metastability in a Dynamic Disease?

John Milton and Ivan Osorio

About the Editors

Hitten P. Zaveri is an Associate Research Scientist within the Department of Neurology at Yale University in New Haven, Connecticut.

Subject Categories

BISAC Subject Codes/Headings:
MEDICAL / Biotechnology
MEDICAL / Neurology
SCIENCE / Life Sciences / Biology / General
SCIENCE / Life Sciences / Neuroscience