Modern Electroencephalographic Assessment Techniques

• Operational Architectonics Methodology for EEG Analysis: Theory and Results.- Clinical Electroencephalography in the Diagnosis and Management of Epilepsy.- Effective Brain Connectivity from Intracranial EEG recordings: Identification of Epileptogenic Zone in Human Focal Epilepsies.- On the Effect of Volume Conduction on Graph Theoretic Measures of Brain Networks in Epilepsy.- Methods for Seizure Detection and Prediction: An Overview.- Graph-Theoretic Indices of Evaluating Brain Network Synchronization: Application in an Alcoholism Paradigm.- Time-Varying Effective Connectivity for Investigating the Neurophysiological Basis of Cognitive Processes.- Assessment of Sensory Gating Deficit in Schizophrenia Using a Wavelet Transform Methodology on Auditory Paired-Click Evoked Potentials.- Schizophrenia Assessment Using Single Trial Analysis of Brain Activity.- Phase Variants of the Common Spatial Patterns Method.- Estimation of Regional Activation Maps and Interdependencies from Minimum Norm Estimates of Magnetoencephalography (MEG) Data.- Blind Signal Separation Methods in Computational Neuroscience.- Current Trends in ERP Analysis Using EEG and EEG/ fMRI Synergistic Methods.- Computer-Based Assessment of Alzheimer’s Disease Employing fMRI and/or EEG: A Comprehensive Review.

"It is a welcome addition to the neurological and psychiatric literature. ... The target audience is primarily researchers involved in brain imaging of neuropsychiatric disorders. ... Each chapter concludes with pertinent and timely references from the scientific literature. This is an interesting book on EEG and MEG in neuropsychiatric disorders." (Michael Joel Schrift, Doody's Book Reviews, May, 2015) "This text covers every aspect of clinical and basic research into the EEGs, ERPs, data analysis, and neurophysiology related to epilepsy, depression, schizophrenia, and affective illnesses for which this field applies. Numerous graphs, charts, electrical readings are presented in this discussion. ... I recommend this book highly for researchers, neurologists, neurosurgeons and students of EEGs." (Joseph J. Grenier, Amazon.com, March, 2015)