A Methods Handbook
The first comprehensive handbook to detail ERP methodology, covering experimental design, data analysis, and special applications.
The study of event-related potentials (ERPs)—signal-averaged EEG recordings that are time-locked to perceptual, cognitive, and motor events—has increased dramatically in recent years, but until now there has been no comprehensive guide to ERP methodology comparable to those available for fMRI techniques. Event-Related Potentials meets the need for a practical and concise handbook of ERP methods that is suitable for both the novice user of an ERP system and a researcher more experienced in cognitive electrophysiology.
The chapters in the first section discuss the design of ERP experiments, providing a practical foundation for understanding the design of ERP experiments and interpreting ERP data. Topics covered include quantification of ERP data and theoretical and practical aspects of ANOVAs as applied to ERP datasets. The second section presents a variety of approaches to ERP data analysis and includes chapters on digital filtering, artifact removal, source localization, and wavelet analysis. The chapters in the final section of the book cover the use of ERPs in relation to such specific participant populations as children and neuropsychological patients and the ways in which ERPs can be combined with related methodologies, including intracranial ERPs and hemodynamic imaging.
Hardcover$80.00 X ISBN: 9780262083331 416 pp. | 7 in x 9 in 87 illus., 8 page color insert
Steve Luck has written an authoritative and highly readable treatise that will enlighten researchers of event-related brain potentials at all levels of expertise. As befits an introduction, the basic principles and practical information for beginners are covered in depth, yet the book also includes penetrating discussions of experimental design and interpretation that will engage the most experienced investigator. The eight chapters are spiced with personal anecdotes recounting hard-earned lessons from the laboratory and laced with illustrative examples of how—and how not—to conduct ERP experiments. Luck writes with a sparkling style that is as engrossing as it is informative. I read the book from cover to cover.
Steven A. Hillyard
Department of Neurosciences, University of California, San Diego
Todd Handy and his colleagues have written the definitive book on ERP methodology. They cover all of the important technical details that one would want to see in such a handbook, such as digital filtering and artifact removal. But, just as important, they also provide a sophisticated and comprehensive guide to designing, analyzing, and interpreting ERP experiments, something the field has needed for years. Also noteworthy is the inclusion of a number of cutting-edge topics such as wavelet analysis and the combination of functional neuroimaging with ERPs. Any cognitive neuroscientist wanting to do quality ERP research would do well to read this book.
William J. Gehring
Arthur F. Thurnau Professor of Psychology, University of Michigan