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Main description:
Modern Electroencephalographic Assessment Techniques: Theory and Applications presents numerous signal processing and connectivity analysis methodologies addressing a wide variety of clinical applications including epilepsy, schizophrenia, Alzheimer's disease and even alcoholism. Among the different topics addressed, the neurophysiological basis of cognitive processes is also investigated. The goal is to provide a comprehensive overview of the most modern and widely established approaches mainly applied in, but not limited to, decomposing high resolution multichannel Electroencephalography (EEG) and Magnetoencephalography (MEG) signals into functional interconnected brain regions. Synergistic approaches linking both EEG/ MEG and functional Magnetic Resonance Imaging (fMRI) techniques are also discussed. In line with the popular Neuromethods series, chapters present the theoretical basis of each method along with prosperous application domains, in the form of a balanced mixture of theoretical tutorials, comprehensive reviews and original research. Emphasis is given to the underlying assumptions, to technical matters that greatly affect the outcome of each proposed method, to the ambitions and to the domain of application of each method. Furthermore, links to graph theory and visualization of connectivity motifs is also addressed in an attempt to better describe the functional characteristics of brain networks.
Authoritative and practical, Modern Electroencephalographic Assessment Techniques: Theory and Applications touches upon both the biomedical and computational aspects of this exciting and rapidly evolving field and will allow for a more in-depth, vital understanding of the brain's complex underlying mechanisms.
Contents:
1. Operational Architectonics Methodology for EEG Analysis: Theory and Results
Andrew A. Fingelkurts and Alexander A. Fingelkurts
2. Clinical Electroencephalography in the Diagnosis and Management of Epilepsy
Nicholas-Tiberio Economou and Andreas V. Alexopoulos
3. Effective Brain Connectivity from Intracranial EEG recordings: Identification of Epileptogenic Zone in Human Focal Epilepsies
Giulia Varotto, Laura Tassi, Fabio Rotondi, Roberto Spreafico, Silvana Franceschetti, and Ferruccio Panzica
4. On the Effect of Volume Conduction on Graph Theoretic Measures of Brain Networks in Epilepsy
Manolis Christodoulakis, Avgis Hadjipapas, Eleftherios S. Papathanasiou, Maria Anastasiadou, Savvas S. Papacostas, and Georgios D. Mitsis
5. Methods for Seizure Detection and Prediction: An Overview
Giorgos Giannakakis, Vangelis Sakkalis, Matthew Pediaditis, and Manolis Tsiknakis
6. Graph-Theoretic Indices of Evaluating Brain Network Synchronization: Application in an Alcoholism Paradigm
Vangelis Sakkalis, Theofanis Oikonomou, Vassilis Tsiaras, and Ioannis Tollis
7. Time-Varying Effective Connectivity for Investigating the Neurophysiological Basis of Cognitive Processes
Jlenia Toppi, Manuela Petti, Donatella Mattia, Fabio Babiloni, and Laura Astolfi
8. Assessment of Sensory Gating Deficit in Schizophrenia Using a Wavelet Transform Methodology on Auditory Paired-Click Evoked Potentials
Cristina Farmaki, Vangelis Sakkalis , Klevest Gjini, Nash N. Boutros, and George Zouridakis
9. Schizophrenia Assessment Using Single Trial Analysis of Brain Activity
George Zouridakis, Darshan Iyer, and Javier Diaz
10. Phase Variants of the Common Spatial Patterns Method
Kenneth P. Camilleri, Owen Falzon, Tracey Camilleri, and Simon G. Fabri
11. Estimation of Regional Activation Maps and Interdependencies from Minimum Norm Estimates of Magnetoencephalography (MEG) Data
Abdou Mousas, Panagiotis G. Simos, Roozbeh Rezaie, and Andrew C. Papanicolaou
12. Blind Signal Separation Methods in Computational Neuroscience
Mujahid N. Syed, Pando G. Georgiev, and Panos M. Pardalos
13. Current Trends in ERP Analysis Using EEG and EEG/ fMRI Synergistic Methods
Kostas Michalopoulos, Michalis Zervakis, and Nikolaos Bourbakis
14. Computer-Based Assessment of Alzheimer's Disease Employing fMRI and/or EEG: A Comprehensive Review
Evanthia E. Tripoliti, Michalis Zervakis, and Dimitrios I. Fotiadis
PRODUCT DETAILS
Publisher: Springer (Humana Press Inc.)
Publication date: November, 2014
Pages: 360
Weight: 9992g
Availability: Available
Subcategories: Neurology, Neuroscience
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