by Paul L. Nunez, Ramesh Srinivasan
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Product Description
Electroencephalography (EEG) is practiced by neurologists, cognitive neuroscientists, and others interested in functional brain imaging. Whether for clinical or experimental purposes, all studies share a common purpose-to relate scalp potentials to the underlying neurophysiology. Electrical potentials on the scalp exhibit spatial and temporal patterns that depend on the nature and location of the sources and the way that currents and fields spread through tissue. Because these dynamic patterns are correlated with behavior and cognition, EEG provides a "window on the mind," correlating physiology and psychology.
This classic and widely acclaimed text, originally published in 1981, filled the large gap between EEG and the physical sciences. It has now been brought completely up to date and will again serve as an invaluable resource for understanding the principles of electric fields in living tissue and for using hard science to study human consciousness and cognition. No comparable volume exists for it is no easy task to explain the problems of EEG in clear language, with mathematics presented mainly in appendices. Among the many topics covered by the Second Edition are micro and meso (intermediate scale) synaptic sources, electrode placement, choice of reference, volume conduction, power and coherence measures, projection of scalp potentials to dura surface, dynamic signatures of conscious experience, neural networks immersed in global fields of synaptic action, and physiological bases for brain source dynamics. The Second Edition is an invaluable resource for neurologists, neuroscientists (especially cognitive neuroscientists), biomedical engineers, and their students and trainees. It will also appeal to physicists, mathematicians, computer scientists, psychiatrists, and industrial engineers interested in EEG.
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Average Customer Review:
2 of 2 people found the following review helpful:
 Essential for anyone doing EEG, 2007-10-10
Although technical enough to not be taken lightly, this book should be read by anyone who wants to really understand what they are measuring with their EEG electrodes. College level physics, electrical engineering and calculus will be required to get much out of the book, and even then the going is slow. However, subjects such as cortical dipoles, temporal filtering and why EEG has a 1/f power spectrum all make more sense to me now.
I use EEG for neurofeedback and other quantitative medical applications. I recommend this book to anyone interested in EEG beyond the technician level. I give it four stars only because much of the mathematics is very technical and difficult.
2 of 2 people found the following review helpful:
Advanced neurophysiology, 2007-03-09
Excellent book for everyone in the field of neurophysiology and computed neuroscience. Don't expect much of clinical practice, but at the same time you can get information that can be practical. It's a most for all that are in the field of electro-physics of the brain.
8 of 8 people found the following review helpful:
Review by EEG scientist, 2006-01-12
This is an authoritative text on the basic principles of the human electroencephalogram (EEG), containing a wealth of valuable information that would be difficult or impossible to obtain from other sources. It should be of interest to scientists with nearly any background, ranging from physics and engineering to neurobiology and psychology. A remarkable quality of this text is that it is written to serve all these audiences well. Hard-core mathematical readers can be assured that these authors know their physics, and apply it aptly to not only EEG measurement technology, but also to the spatiotemporal dynamics of the cortical sheet. Another prominent quality is its rigorous consideration of the multi-scale nature of cortical anatomy and its dynamics, and a quantitative assessment of what aspects of human brain dynamic processes may be accessible with scalp EEG. In the main text, equations are stated without proof, and always explained intuitively. In this way, the book is quite accessible to non-mathematical readers, who can simply read around the equations and still follow the arguments. Indeed, this text is packed with "take-home messages" that neuroscientists would do well to keep in mind. The appendices provide mathematical derivations that are pivotal to arguments in the main text. By serving all these audiences so well, this text is a valuable resource for those interested in bridging the various subfields of human neuroscience. Insofar as EEG and MEG measure closely related quantities, this text is also essential for MEG researchers.
6 of 6 people found the following review helpful:
No Book Like It, 2005-12-23
While the first edition (1981) of this book was widely acclaimed, this second edition is substantially improved. As a clinical neurologist, I appreciate the author's relaxed conversational style when addressing the often subtle connections between physics and neuroscience, reminiscent of Feynman's famous Lectures on Physics. This approach brings together the physicist and neuroscientist and enlightens both. The material covers a broad range from brain waves (EEG) to basic questions on the nature of consciousness. This is a must read for anyone seriously interested in how the brain works.
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