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.
Ivan Osorio (University of Kansas Medical Center Kansas City KS USA)
, Hitten P. Zaveri (Yale University
, New Haven
, Mark G. Frei (Flint Hills Scientific
, Susan Arthurs (Alliance for Epilepsy Research
Country of Publication:
Professional and scholarly
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 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, Matthaus Staniek, Dennis Glusenkamp, 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. Crepon, 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 (R) 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.