An Introduction to the Event-Related Potential Technique, Second 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. 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. An Introduction to the Event-Related Potential Technique 1 01 - A Broad Overview of the Event-Related Potential Technique 2 02 - A Closer Look at ERPs and ERP Components 40 03 - Overview of Common ERP Components 77 Chapter 3 Supplement 124 04 - The Design of ERP Experiments 132 Chapter 4 Supplement 160 05 - Basic Principles of ERP Recording 174 Chapter 5 Supplement 211 06 - Artifact Rejection and Correction 218 Chapter 6 Supplement 251 07 - Basics of Fourier Analysis and Filtering 264 Chapter 7 Supplement 294 08 - Baseline Correction, Averaging, and Time – Frequency Analysis 297 Chapter 8 Supplement 331 09 - Quantifying ERP Amplitudes and Latencies 336 Chapter 9 Supplement 361 10 - Statistical Analysis 367 Chapter 10 Supplement 399 Appendix: Linear Operations, Nonlinear Operations, and the Order of Processing Steps 403 Online Chapter 11 A Closer Look at Averaging: Convolution, Latency Variability, and Overlap 413 Online Chapter 12 Time and Frequency: A Closer Look at Filtering and Time-Frequency Analysis 432 Online Chapter 13 The Mass Univariate Approach and Permutation Statistics 459 Online Chapter 14 ERP Localization 474 Chapter 15 Reading, Writing, and Reviewing ERP Papers 494 Online Chapter 16 Setting Up and Running an ERP Lab 509 References 531 Index 546 A Broad Overview Of The Event-related Potential Technique -- A Closer Look At Erps And Erp Components -- Overview Of Common Erp Components -- The Design Of Erp Experiments -- Basic Principles Of Erp Recording -- Artifact Rejection And Correction -- Basics Of Fourier Analysis And Filtering -- Baseline Correction, Averaging, And Time-frequency Analysis -- Quantifying Erp Amplitudes And Latencies -- Statistical Analysis. Steven J. Luck. A Bradford Book. Includes Bibliographical References And Index.