Advances in Epilepsy

Epilepsy is a group of non-communicable neurological disorders characterized by recurrent epileptic seizures. An epileptic seizure is the clinical manifestation of an abnormal, excessive, and synchronized electrical discharge in the neurons. The occurrence of two or more unprovoked seizures defines epilepsy. The occurrence of just one seizure may warrant the definition (set out by the International League Against Epilepsy) in a more clinical usage where recurrence may be able to be prejudged. Epileptic seizures can vary from brief and nearly undetectable periods to long periods of vigorous shaking due to abnormal electrical activity in the brain. These episodes can result in physical injuries, either directly, such as broken bones, or through causing accidents. In epilepsy, seizures tend to recur and may have no detectable underlying cause. Isolated seizures that are provoked by a specific cause such as poisoning are not deemed to represent epilepsy. People with epilepsy may be treated differently in various areas of the world and experience varying degrees of social stigma due to the alarming nature of their symptoms.

In the present book, fourteen typical literatures about Epilepsy published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on Epilepsy. We hope this book can demonstrate advances in Epilepsy as well as give references to the researchers, students and other related people.

Sample Chapter(s)
Preface (177 KB)
Components of the Book:
  • Chapter 1
    Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery
  • Chapter 2
    High-Frequency Hubs of the Ictal Cross-Frequency Coupling Network Predict Surgical Outcome in Epilepsy Patients
  • Chapter 3
    High-Frequency Oscillations Recorded on the Scalp of Patients With Epilepsy Using Tripolar Concentric Ring Electrodes
  • Chapter 4
    Identifying Refractory Epilepsy Without Structural Abnormalities by Fusing the Common Spatial Patterns of Functional and Effective EEG Networks
  • Chapter 5
    Focal and Non-Focal Epilepsy Localization: A Review
  • Chapter 6
    Mapping Propagation of Interictal Spikes, Ripples, and Fast Ripples in Intracranial EEG of Children with Refractory Epilepsy
  • Chapter 7
    Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy - a case study in epilepsy
  • Chapter 8
    Detecting High Frequency Oscillations for Stereoelectroencephalography in Epilepsy via Hypergraph Learning
  • Chapter 9
    Ensemble Convolutional Neural Networks With Support Vector Machine for Epilepsy Classification Based on Multi-Sequence of Magnetic Resonance Images
  • Chapter 10
    Temporal and morphological characteristics of high-frequency oscillations in an acute in vivo model of epilepsy
  • Chapter 11
    DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity
  • Chapter 12
    "EpilepSee" Glasses: A Wearable Seizure Prevention Device for Photosensitive Epilepsy
  • Chapter 13
    Deep Learning-Based Detection of Epileptiform Discharges for Self-Limited Epilepsy With Centrotemporal Spikes
  • Chapter 14
    Penalized Functional Connectivity Maps for Patients With Focal Epilepsy
Readership: Students, academics, teachers and other people attending or interested in Epilepsy.
Sophia R. Zhai
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA

Daniel Ehrens
Department of Biomedical Engineering Johns Hopkins University Baltimore, MD, USA

Sridevi V. Sarma
Department of Biomedical Engineering Johns Hopkins University Baltimore, MD, USA

and more...
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