The Oxford Handbook of EEG Frequency

The use of electroencephalography (EEG) to study the human mind has seen tremendous growth across a vast array of disciplines due to increased ease of use and affordability of the technology. Typically, researchers study how the magnitude of the waves changes over time or how the rhythm (frequency) of the waves changes over time. The Oxford Handbook of EEG Frequency is arguably the first book to comprehensively describe the ways to study how the frequency of the waves changes over time and how changes in frequency are linked to cognitive, affective, and motor processes. Consisting of 23 chapters written by leading authorities in the field, the book is separated into three sections, with the first focusing on the basics of EEG frequency research, linking frequency analyses to core components of EEG research with event-related potential (ERP) components and local field potentials (LFPs) in non-human animals. The second section looks at specific EEG frequency components that are commonly studied using traditional frequency bands of activity to study specific psychological processes. Finally, the third section explores EEG frequency analyses in special populations and altered states. Each chapter provides a diverse perspective on the topic, giving readers the opportunity to learn about a vast array of methods to conduct EEG frequency analyses, from 'traditional' to cutting-edge techniques, providing a comprehensive and in-depth overview of electroencephalography (EEG).

Auteur

Philip Gable is an Associate Professor of Psychology in the Department of Psychological and Brain Sciences at The University of Delaware. He received his PhD in Social Psychology in 2010 from Texas A&M University. Dr. Gable spent 10 years at the University of Alabama before moving to the University of Delaware. His work focuses on basic research of motivation, emotion, and cognitive processes, as well as translational research on substance use and atypical development. Matthew Miller is an Associate Professor of Kinesiology in the School of Kinesiology at Auburn University. He received his PhD in Neuroscience and Cognitive Science in 2012 from the University of Maryland. His work focuses on the bases of motor learning and performance as well as physical activity. Edward Bernat is an Associate Professor of Psychology in the Department of Psychology at the University of Maryland. He received his Ph.D. in Clinical Psychology in 1997 from the University of Michigan, where he also completed an APA-accredited internship and postdoctoral work in Biomedical Engineering. We served as a Research Associate in Clinical Psychology at the University of Minnesota and then core faculty in Clinical Psychology at Florida State University before moving to the University of Maryland in 2013. His research focuses on brain mechanisms that underlie individual differences in cognitive and affective processing.