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 offers the first, comprehensive guide to planning and conducting intracranial EEG studies, and analyzing intracranial EEG data. The chapters address core questions in the field of intracranial EEG research. They are written by internationally recognized experts in the domain of intracranial EEG and acknowledge the heterogeneity of approaches in this field. The particular format of the book allows readers to find clear guidelines, hands-on expertise and invaluable background information for planning and conducting state-of-the-art intracranial EEG research projects. Besides offering a reference guide to newcomers in the field, it also provides scholarly information for the more experienced researcher and inspiration for the expert. The book covers a wide range of topics, with a special emphasis on aspects in which intracranial EEG data differ from other types of data in the cognitive neurosciences. It discusses typical patient characteristics and implantation schemes, ethical issues, and practical considerations for planning and running intracranial EEG experiments. It addresses signal characteristics and the physiological background of oscillatory and non-oscillatory aspects of intracranial EEG signals. It describes complex pre-processing steps such as advantages and disadvantages of different referencing schemes, and how to identify the location of electrodes. In addition, it answers specific questions on data processing, addressing core aspects of statistical analysis, and suggesting guidelines for data presentation. Further, it covers advanced topics such as causal interventions (i.e. deep brain stimulation), acquisition and analysis of single-unit data and multimodal recordings, and discusses important future challenges and opportunities in the field of intracranial EEG research.

The EEG is a simple and widely available neurophysiological test that, if interpreted correctly, can provide valuable insight into the functioning of the brain. However, despite its increasing usage in a range of settings, there is a common misconception that the EEG is inherently difficult to interpret. Compounding the problem is the lack of dedicated training and no standardized approach by encephalographers. This book provides a clear and concise guide to reading and interpreting EEGs in a systematic way. Presented in three sections, the first delivers foundational technical knowledge of how EEGs work, and the second concentrates on a comprehensive, stepwise approach to reading and interpreting an EEG. The third section contains examples of EEGs in common scenarios, such as seizures and post-cardiac arrest, enabling readers to correlate their findings to clinical indications. Heavily illustrated with over 200 example EEGs, this is an essential pocket guide to interpreting these tests.

Covering such hot topics in psychology as the mind-body connection, drugs and new therapy treatments, new information on the role of genetics in personality development, and the impact of 9/11 on individual mental health, this is the new edition of the popular introduction to psychology-with expanded information on such great thinkers as Carl Jung, Erik Erikson, and B.F. Skinner.

Written by a noted leader in electroneurodiagnostic technology, this book will be a standard text and reference for technologists, neurology residents, and clinical neurophysiology fellows. It will be a valuable aid in preparing for the ABRET (American Board of Registration of Electroencephalographic and Evoked Potential Technologists) certification or the neurophysiology boards. The first part covers the technical aspects of electroneurodiagnosis; the second part covers clinical applications and diagnostic utilities. The text focuses on digital recording and includes analyses based on digital data. Emphasis is on pattern recognition, artifacts recognition, technical pitfalls, and the clinical correlates of electroencephalography. The book includes material to assist students in recognizing specific artifacts. Coverage includes principles of digital recording, electronics and electrical safety. A companion Website will include a question bank and a streaming video showing how to place electrodes.