Do you want to learn to read people′s minds? In this student-friendly, practice-focussed textbook on EEG and biosignal analysis, you will learn how to: Implement your experiment in E-Prime or OpenSesame; Run your study in the psychophysiological laboratory; Analyse data in MATLAB by following simple steps. This textbook follows a unique approach by guiding you through a single EEG study, each part introducing the relevant core knowledge and commonly available software. Practical exercises help you master the skills to independently implement every aspect of an experiment, from setting up the lab to analysing the data. Suitable for developing both basic levels of skill for undergraduates as well as advancing towards a stronger command of analysis and understanding at postgraduate level. Michiel Spapé is a Lecturer and Researcher in Psychology at the University of Helsinki.

A unique and important resource, full of critical practical knowledge and technical details made readily accessible. - Tiffany Ito, University of Colorado at Boulder "A comprehensive and engaging guide to EEG methods in social neuroscience; Dickter and Kiefabber offer practical details for conducting EEG research in a social/personality lab, with a broad perspective on how neuroscience can inform psychology. This is a unique and invaluable resource - a must-have for scientists interested in the social brain." - David M. Amodio, New York University Electroencephalography (EEG) has seen a dramatic increase in application as a research tool in the psychological sciences in recent years. This book provides an introduction to the technology and techniques of EEG in the context of social and cognitive neuroscience research that will appeal to investigators (students or researchers) wishing to broaden their research aims to include EEG, and to those already using EEG but wishing to expand their analytic repertoire. It can also serve as a textbook for a postgraduate course or upper-level undergraduate course in any area of behavioural neuroscience. The book provides an introduction to the theory, technology, and techniques of EEG data analysis along with the practical skills required to engage this popular technology. Beginning with a background in the neural origins and physical principles involved in recording EEG, readers will also find discussions of practical considerations regarding the recording of EEG in humans as well as tips for the configuration of an EEG laboratory. The analytic methods covered include event-related brain potentials (ERPs), spectral asymmetry, and time-frequency analyses. A conceptual background and review of domain-specific applications of the method is provided for each type of analysis. There′s also comprehensive guided analysis for each analytic method that includes tutorial-style instruction and sample datasets. This book is perfect for advanced students and researchers in the psychological sciences and related disciplines who are using EEG in their research.

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

Gerald Ulrich, MD provides an authoritative, advanced guide to theory-based EEG interpretation that is grounded in the Berlin Psychiatry School Model of EEG-Vigilance. The Berlin model is not well known in the United States. Instead, EEG is dominated by data-driven Q-EEG where one looks at mathematical correlations without a coherent theory to guide interpretation. This is the first known published book on this topic. Dr. Ulrich's aim is to help the reader increase self-confidence in EEG assessment in clinical practice or research and to facilitate more reliable and valid EEG interpretations. He provides a skilled synthesis of decades of EEG research alongside his expert insights from his 40 years of clinical experience and research with EEG. The reader will learn how to visually discern spatio-temporal patterns with 132 high-quality examples of EEG images - the majority within the course of spontaneous resting EEGs. Additionally, the EEG-pathology of psychiatric syndromes and the impact of common psychotropic medications on the EEG are described in detail. Another important contribution is the identification of a common type of biological artifact which has gone unnoticed in research that is likely responsible for the unsatisfactory test-retest reliability and questionable validity of the EEG; the author proposes a simple solution to this vexing artifact problem. In the second part of the book, the reader is introduced to novel QEEG procedures, especially related to EEG dynamics, which can be regarded as meaningful within the theory of EEG-vigilance.

A Neuropsychologist's Guide to Training Psychometrists: Promoting Competence in Psychological Testing provides a framework for busy neuropsychologists faced with training their newly-hired psychometrist. It supplies concrete guidelines and provides a roadmap for training that can be customized to any practice, department, or clinic setting. In this essential resource, Dr. Christine S. Ghilain discusses the role of the psychometrist in various neuropsychological practice settings and provides suggested minimum standards of competence across training domains. She dives deeply into the core components of assessment—from optimizing testing conditions, to standardized test administration, to keen observations of behavior—and includes coverage of topics such as testing with unique populations, behavioral management strategies for challenging situations, as well as promoting ongoing competence over time. A compilation of several sources of data, the book includes excerpts from Dr. Ghilain’s practice-specific psychometry training manual along with advice and illustrative examples from many neuropsychologists and psychometrists who shared their experiences. This book is an indispensable guide for neuropsychologists looking to instill high standards of competence in their hired professionals and for those involved in training graduate students who are just learning to administer cognitive tests. It is also of interest to other assessment-focused professionals looking to enhance their skills and refine their psychological testing knowledge.

The comprehensive study guide helps drive home concepts through active, participatory learning. The study guide is designed to be used in tandem with the reading of each textbook chapter, and its contents are linked to Psychology, Fifth Edition’s marginal Focus Questions. Each chapter consists of a concise overview of the corresponding textbook chapter, a comprehensive series of questions that follows the flow of the text section by section, and two self-tests consisting of multiple-choice and essay questions with answers. With this guide, students will deepen their learning, following an approach to study that is thorough and thoughtful.