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

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 EpilepsyNeuroanatomy as Applicable to Epilepsy: Gross and Microscopic Anatomy/ HistologyTaufik A. ValianteIntroduction to EEG for Nonepileptologists Working in Seizure Prediction and DynamicsRichard WennbergBasic Mechanisms of Seizure GenerationJohn G. R. Jefferys and Premysl JiruskaAn Introduction to Epileptiform Activities and Seizure Patterns Obtained by Scalp and Invasive EEG RecordingsAndreas Schulze-BonhageSeizures and Epilepsy: An OverviewSteven WeinsteinFoundations of Engineering, Math, and PhysicsIntracranial EEG: Electrodes, Filtering, Amplification, Digitization, Storage, and DisplayHitten P. Zaveri and Mark G. FreiTime-Frequency Energy Analysis.Piotr J. FranaszczukNeurodynamics and Ion Channels: A Tutorial.John G. MiltonNonlinear Time Series Analysis in a NutshellRalph Gregor AndrzejakHow to Detect and Quantify Epileptic SeizuresSridhar SunderamSeizure Time Series Analysis II: Automated Prediction and Assessment of Seizure Prediction AlgorithmsFlorian Mormann, Klaus Lehnertz, and Ralph Gregor AndrzejakAutonomous State Transitions in the Epileptic Brain: Anticipation and ControlStiliyan N. Kalitzin, Demetrios N. Velis, and Fernando Lopes da SilvaThe Challenge of PredictionPredictionDidier Sornette and Ivan OsorioThe State of Seizure Prediction: Seizure Prediction and DetectionImpact of Biases in the False-Positive Rate on Null Hypothesis Testing..Ralph Gregor Andrzejak, Daniel Chicharro, and Florian MormannSeizure Prediction: An Approach Using Probabilistic Forecasting..Bjoern Schelter, Hinnerk Feldwisch-Drentrup, Andreas Schulze-Bonhage, and Jens TimmerSeizure Prediction and Detection Research at Optima NeuroscienceDeng-Shan Shiau, Jui-Hong Chien, Ryan T. Kern, Panos M. Pardalos, and J. Chris SackellaresPreictal Directed Interactions in Epileptic Brain NetworksKlaus Lehnertz, Dieter Krug, Matthäus Staniek, Dennis Glüsenkamp, and Christian E. ElgerSeizure Prediction and Observability of EEG SourcesElma O’Sullivan-Greene, Levin Kuhlmann, Andrea Varsavsky, David B. Grayden, Anthony N. Burkitt, and Iven M. Y. MareelsCircadian Regulation of Neural Excitability in Temporal Lobe EpilepsyPaul R. Carney, Sachin S. Talathi, Dong-Uk Hwang, and William DittoUse of Dynamical Measures in Prediction and Control of Focal and Generalized EpilepsyShivkumar Sabesan, Leon Iasemidis, Konstantinos Tsakalis,David M. Treiman, and Joseph SirvenTime-Series-Based Real-T ime Seizure PredictionPooja Rajdev and Pedro P. IrazoquiOptimizing Seizure Detection Algorithms toward the Development of Implantable Epilepsy ProsthesesShriram Raghunathan and Pedro P. IrazoquiInitiation and Termination of Seizure-Like Activity in Small-World Neural NetworksAlexander Rothkegel, Christian E. Elger, and Klaus LehnertzAre Interaction Clusters in Epileptic Networks Predictive of Seizures?Stephan Bialonski, Christian E. Elger, and Klaus LehnertzPreictal Spikes in the Hippocampus of Patients with Mesial Temporal Lobe EpilepsyC. Alvarado-Rojas, M. Valderrama, G. Huberfeld, and M. Le Van QuyenThe State of Seizure Prediction: Seizure GenerationMicroanalysis and Macroanalysis of High-Frequency Oscillations in the Human BrainB. Crépon, M. Valderrama, C. Alvarado-Rojas, V. Navarro, and M. Le Van QuyenThe State of Seizure Prediction: Seizure ControlVagus Nerve Stimulation Triggered by Machine Learning–Based Seizure Detection: Initial Implementation and EvaluationAli Shoeb, Trudy Pang, John V. Guttag, and Steven C. SchachterLow-Frequency Stimulation as a Therapy for EpilepsyJeffrey H. GoodmanThe State of Seizure Prediction: TechnologyLarge-Scale Electrophysiology: Acquisition, Storage, and AnalysisMatt Stead, Mark R. Bower, Benjamin H. Brinkmann, Christopher Warren, and Gregory A. WorrellEPILAB: A MATLAB® Platform for Multifeature and Multialgorithm Seizure PredictionB. 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. DouradoEmerging Technologies for Brain-Implantable DevicesBruce Lanning, Bharat S. Joshi, Themis R. Kyriakides, Dennis D. Spencer, and Hitten P. ZaveriNocturnal Frontal Lobe Epilepsy: A Paradigm for Seizure Prediction?Familial and Sporadic Nocturnal Frontal Lobe Epilepsy (NFLE)— Electroclinical FeaturesGholam K. Motamedi and Ronald P. LesserNicotinic Acetylcholine Receptors in Circuit Excitability and Epilepsy: The Many Faces of Nocturnal Frontal Lobe EpilepsyOrtrud K. Steinlein and Daniel BertrandChannelopathies in EpileptologyFrank Lehmann-Horn, Holger Lerche, Yvonne Weber, and Karin Jurkat-RottAutosomal Dominant Nocturnal Frontal Lobe Epilepsy: Excessive Inhibition?Molly N. Brown and Gregory C. MathewsHow to Measure Circadian Rhythmicity in HumansWytske A. Hofstra and Al W. de WeerdSeizure Prediction and the Circadian RhythmTyler S. Durazzo and Hitten P. ZaveriNocturnal 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.