1st Edition

Epilepsy The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics

    578 Pages 192 B/W Illustrations
    by CRC Press

    578 Pages 192 B/W Illustrations
    by CRC Press

    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.

    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


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