An essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition.The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics.
The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.
Dr. Luck is the master carpenter of ERP research, a status secured in part because of this book. It reads like a bedtime story without losing didactic power and includes many helpful diagrams and illustrations. My biggest frustration with the text is that it sometimes lacks citations where I'd like to follow up with a more detailed text. For example, the (mostly excellent) chapter on filtering states that precision in the time domain is inversely related to precision in the frequency domain and gives anecdotal illustrations of this fact; but the mathematical relationship is not described or cited, and I want to see proofs in addition to examples.
This is exactly what the title of the book says it is. I would recommend it to bachelor and master psychology students who are given their first datasets to analyze. It explains the basic principles behind ERPs, as well as pitfalls to avoid, and techniques to apply to improve your analysis. There's almost no math or practical step by step guide in the text, but this you can get elsewhere.
This book is quite out of date technologically - I didn’t buy the most recent edition because textbooks are insanely expensive. However, it did a great job at explaining ERPs for me, someone who hasn’t done biology or physics in 6 years. Would recommend to anyone on a neuroscience course studying electrophysiology or considering using ERPs for research.
A good book introducing the rather odd brain phenomena of the ERP. The book is mostly accessible to anyone with a basic science background and sets a useful basis for this rather strange mechanism and technique.