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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. Epilep...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2011.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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 AnalysisChapter 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 NeuroscienceChapter 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 NetworksChapter 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 Evaluati; Chapter 28: Low-Frequency Stimulation as a Therapy for Epilepsy.
- Chapter 29: Large-Scale Electrophysiology : Acquisition, Storage, and AnalysisChapter 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 E; Chapter 34: Channelopathies in Epileptology; Chapter 35: Autosomal Dominant Nocturnal Frontal Lobe Epilepsy: Excessive Inhibition?