Epilepsy

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

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

• Publisher: CRC Press
• Year: 2016
• Edition: 1
• eBook ISBN:
  9781439838860
• Topic: Medicine
• Subtopic: Biotechnology in Medicine

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, Mathema

Table of contents

• Front Cover
• Contents
• Preface
• Acknowledgments
• Editors
• Contributors
• Chapter 1: Neuroanatomy as Applicable to Epilepsy : Gross and Microscopic Anatomy/Histology
• Chapter 2: Introduction to EEG for Nonepileptologists Working in Seizure Prediction and Dynamics
• Chapter 3: Basic Mechanisms of Seizure Generation
• Chapter 4: An Introduction to Epileptiform Activities and Seizure Patterns Obtained by Scalp and Invasive EEG Recordings
• Chapter 5: Seizures and Epilepsy: An Overview
• Chapter 6: Intracranial EEG : Electrodes, Filtering, Amplification, Digitization, Storage, and Display
• Chapter 7: Time-Frequency Energy Analysis
• Chapter 8: Neurodynamics and Ion Channels : A Tutorial
• Chapter 9: Nonlinear Time Series Analysis in a Nutshell
• Chapter 10: How to Detect and Quantify Epileptic Seizures
• Chapter 11: Automated Prediction and Assessment of Seizure Prediction Algorithms
• Chapter 12: Autonomous State Transitions in the Epileptic Brain : Anticipation and Control
• Chapter 13: Prediction
• Chapter 14: Impact of Biases in the False-Positive Rate on Null Hypothesis Testing
• Chapter 15: Seizure Prediction : An Approach Using Probabilistic Forecasting
• Chapter 16: Seizure Prediction and Detection Research at Optima Neuroscience
• Chapter 17: Preictal Directed Interactions in Epileptic Brain Networks
• Chapter 18: Seizure Prediction and Observability of EEG Sources
• Chapter 19: Circadian Regulation of Neural Excitability in Temporal Lobe Epilepsy
• Chapter 20: Use of Dynamical Measures in Prediction and Control of Focal and Generalized Epilepsy
• Chapter 21: Time-Series-Based Real- Time Seizure Prediction
• Chapter 22: Optimizing Seizure Detection Algorithms toward the Development of Implantable Epilepsy Prostheses
• Chapter 23: Initiation and Termination of Seizure-Like Activity in Small-World Neural Networks
• Chapter 24: Are Interaction Clusters in Epileptic Networks Predictive of Seizures?
• Chapter 25: Preictal Spikes in the Hippocampus of Patients with Mesial Temporal Lobe Epilepsy
• Chapter 26: Microanalysis and Macroanalysis of High-Frequency Oscillations in the Human Brain
• Chapter 27: Vagus Nerve Stimulation Triggered by Machine Learning–Based Seizure Detection : Initial Implementation and Evaluation
• Chapter 28: Low-Frequency Stimulation as a Therapy for Epilepsy
• Chapter 29: Large-Scale Electrophysiology : Acquisition, Storage, and Analysis
• Chapter 30: EPILAB: A MATLAB® Platform for Multifeature and Multialgorithm Seizure Prediction
• Chapter 31: Emerging Technologies for Brain-Implantable Devices
• Chapter 32: Familial and Sporadic Nocturnal Frontal Lobe Epilepsy (NFLE)—Electroclinical Features
• Chapter 33: Nicotinic Acetylcholine Receptors in Circuit Excitability and Epilepsy : The Many Faces of Nocturnal Frontal Lobe Epilepsy
• Chapter 34: Channelopathies in Epileptology
• Chapter 35: Autosomal Dominant Nocturnal Frontal Lobe Epilepsy: Excessive Inhibition?
• Chapter 36: How to Measure Circadian Rhythmicity in Humans
• Chapter 37: Seizure Prediction and the Circadian Rhythm
• Chapter 38: Nocturnal Frontal Lobe Epilepsy : Metastability in a Dynamic Disease?
• Back Cover