Analysis of the Electrical Activity of the Brain

Overview

Ever since Galvanis discovery of the electrical sensitivity of the neuromuscular system in 1791, and the subsequent discovery that the EEG varied systematically with the functional state of the brain, progress in neurophysiology and its clinical application has been dependent upon advances in technology. With the advent of computers, however, technology is no longer the rate-limiting factor. Computer programs are readily available to detect biologically significant signals amid background noise, to characterise ...
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Somerset, New Jersey, U.S.A. 1997 Hardcover New 0471969591. FLAWLESS COPY, PRISTINE, NEVER OPENED.

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Overview

Ever since Galvanis discovery of the electrical sensitivity of the neuromuscular system in 1791, and the subsequent discovery that the EEG varied systematically with the functional state of the brain, progress in neurophysiology and its clinical application has been dependent upon advances in technology. With the advent of computers, however, technology is no longer the rate-limiting factor. Computer programs are readily available to detect biologically significant signals amid background noise, to characterise the EEG in terms of its spectral composition and dimensionality, and even to calculate its anatomical generators from the topography of surface potentials and their derivatives. Nowadays, therefore, problems tend to be encountered with the utility of the available mathematical algorithms, and the ability of mathematicians and neurophysiologist to share their ideas. Analysis of the Electrical Activity of the Brain aims to provide an accessible introduction to the use of mathematical concepts and algorithms in EEG data analysis and to promote an exchange of ideas between the disciplines of neurophysiology and applied mathematics. Divided into sections covering nonlinear dynamical analysis, spectral analysis, signal detection, and topography and source localisation, the book includes details on all the latest techniques in addition to providing clear and understandable accounts of established methods. Worked examples and case studies are featured to enable clinical neurophysiologists to increase their understanding of methods and to improve their knowledge of everyday techniques. General and experimental neurophysiologists, neurologists and physiologists, together with appliedmathematicians, will also find this book to be of interest.

The book contains predominantly black-and-white illustrations, with some color illustrations.

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Editorial Reviews

Doody's Review Service
Reviewer: John R. Hughes, MD, PhD (University of Illinois at Chicago College of Medicine)
Description: This book represents a skillful attempt to explain nonlinear dynamical analysis, signal detection, topography, and source localization.
Purpose: The purpose is to "promote the understanding of mathematical methods among neurophysiologists and to encourage communication between these disciplines."
Audience: The audience is the neurophysiologist who needs greater understanding of these complex mathematical concepts and, in general, the book is successful. Only in a few chapters are the writing and the calculus sufficiently complex to overly challenge the reader.
Features: Special features in this book include some excellent color illustrations of topographic brain maps as one of the clinical applications of EEG analysis. Another excellent feature is the group of five chapters on source localization, especially the clinical applications of voltage topography and source localization in partial epilepsy.
Assessment: Perhaps the most difficult portions of the book are represented by the chapters on nonlinear dynamical analysis that include discussions of the fractal dimension, delay-timing embedding, estimating correlation dimension, saturation, surrogate-data testing, and, in general, the measures derived from chaos theory as applied to brain activity. The Lyapunov exponents, stationarity, and dynamic changes in relation to clinical events are an attempt to relate these concepts to the patient. As mentioned by one of the authors, "there is also the promise that nonlinear strategies of data analysis in combination with well-articulated theories will eventually offer possibilities for an enhanced understanding of the nature of the EEG-generating system and its pathological variants."
John R. Hughes
This book represents a skillful attempt to explain nonlinear dynamical analysis, signal detection, topography, and source localization. The purpose is to ""promote the understanding of mathematical methods among neurophysiologists and to encourage communication between these disciplines."" The audience is the neurophysiologist who needs greater understanding of these complex mathematical concepts and, in general, the book is successful. Only in a few chapters are the writing and the calculus sufficiently complex to overly challenge the reader. Special features in this book include some excellent color illustrations of topographic brain maps as one of the clinical applications of EEG analysis. Another excellent feature is the group of five chapters on source localization, especially the clinical applications of voltage topography and source localization in partial epilepsy. Perhaps the most difficult portions of the book are represented by the chapters on nonlinear dynamical analysis that include discussions of the fractal dimension, delay-timing embedding, estimating correlation dimension, saturation, surrogate-data testing, and, in general, the measures derived from chaos theory as applied to brain activity. The Lyapunov exponents, stationarity, and dynamic changes in relation to clinical events are an attempt to relate these concepts to the patient. As mentioned by one of the authors, ""there is also the promise that nonlinear strategies of data analysis in combination with well-articulated theories will eventually offer possibilities for an enhanced understanding of the nature of the EEG-generating system and its pathological variants.""
Booknews
In light of the emergence of computers, which means that advances in neurophysiology and its clinical application are no longer limited by hard technology but by the availability of mathematical algorithms to process, analyze and interpret signals, mathematicians and neurophysiologists met in Rome in May 1995 to encourage communications between their fields. The 17 resulting papers cover non-linear dynamical analysis, spectral analysis, signal detection, and topography and source localization. Annotation c. by Book News, Inc., Portland, Or.

3 Stars from Doody
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Product Details

  • ISBN-13: 9780471969594
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 3/27/1997
  • Edition number: 1
  • Pages: 372
  • Product dimensions: 6.32 (w) x 9.17 (h) x 1.03 (d)

Table of Contents

List of Contributors
Preface
Acknowledgments
I Non-linear Dynamical Analysis
1 A Tutorial Review of the Use and Benefits of Non-linear Dynamical Analysis of the EEG 3
2 Clinical Applications of EEG Analyses by Means of Tools Derived from Non-linear System Theory 45
3 Fractal Analysis of the EEG in Epilepsy 69
4 Non-linear Time Series Tests for Future EEG Applications 83
5 Is Dimensionality Useful in the Study of ERPs? 93
II Spectral Analysis
6 A Tutorial on Classical Computer Analysis of EEGs: Spectra and Coherences 105
7 Time Series Studies: the Value of the Electroencephalogram in Aging, Dementia and Stroke 125
8 EEG Coherence and Mental Activity 141
III Signal Detection
9 Maximum Length Sequences versus Other Methods for the Detection of Evoked Potentials 171
10 Classification of Single EEG Trials Using Machine Learning Methods and Neural Networks 221
11 Autoregressive Techniques for the Detection of Movement-related Brain Macropotentials 237
12 Waveform Analysis and Adaptive Classification in a System for Automatic Sleep Staging 253
IV Topography and Source Localisation
13 Clinical Application of Voltage Topography and Source Localisation in Partial Epilepsy 263
14 Clinical Applications of Source Localisation Techniques - the Human Somatosensory Cortex 271
15 Dipole Source Estimation of Focal Epileptic Spikes: Correlation with Stereo-electroencephalographic Findings 309
16 EEG Mapping and New Methods for Mentation and Functional Activation Studies 327
17 High-resolution EEG: New Spatial Deblurring Techniques Using Realistic Surfaces of the Subject's Head Constructed from Magnetic Resonance Images 345
Index 351
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