The Oxford Handbook of EEG Frequency

Description

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).

Table of Contents

1:Introduction: Methods for Collecting EEG Data for Frequency Analyses in Humans, Philip A. Gable, Matthew W. Miller , Edward M. Bernat
2:Logic behind EEG Frequency Analysis: Basic Electricity and Assumptions, Kyle J. Curham, John J.B. Allen
3:From Neural Oscillations to Cognitive Processes, Andreas Keil, Nina Thigpen
4:Time-Frequency Decomposition Methods for Event-Related Potential Analysis, Selin Aviyente
5:Time Frequency Analyses in Event-Related Potential Methodologies, Anna Weinberg, Paige Ethridge, Belel Ait Oumeziane, Dan Foti
6:The Relationship Between Evoked and Induced EEG/MEG Changes: Going Beyond Labels, Ali Mazaheri
7:Frequency Analysis of the Monkey Neocortical Local Field Potential, Steven Bressler
8:Gamma Activity in Sensory and Cognitive Processing, Daniel Strüber, Christoph Herrmann
9:Frontal Midline Theta as a Model Specimen of Cortical Theta, James F. Cavanagh, Michael X. Cohen
10:The Role of Alpha and Beta Oscillations in the Human EEG during Perception and Memory Processes, Sebastian Michelmann, Benjamin J. Griffiths, Simon Hanslmayr
11:Theory and Research on Asymmetric Frontal Cortical Activity as Assessed by EEG Frequency Analyses, Eddie Harmon-Jones, Taylor Popp, Philip A. Gable
12:Oscillatory Activity in Sensorimotor Function, Bernadette C. M. van Wijk
13:EEG Frequency Development across Infancy and Childhood, Kimberly Cuevas, Martha Ann Bell
14:Developmental Research on Time-Frequency Activity in Adolescence and Early Adulthood, Steve Malone, Jeremy Harper, William Lacono
15:Theta-Beta EEG Ratio: An Electrophysiological Signature of Motivation and Attentional Control in Normal and Abnormal Behavior, Dennis J.L.G. Schutter, Leon Kenemans
16:Cortical Source Localization in EEG Frequency Analysis, Wanze Xie, John Richards
17:Frequency Characteristics of Sleep, Alpár S Lázár, Zsolt I Lázár, Róbert Bódizs
18:A Review of Oscillatory Brain Dynamics in Schizophrenia, Kevin Spencer
19:EEG Frequency Techniques for Imaging Control Functions in Anxiety, Jason Moser, Courney Louis, Lilianne Gloe, Stefanie Russman Block
20:Bivariate Functional Connectivity Measures for Within- and Cross-Frequency Coupling of Neuronal Oscillations, J. Matias Palva, Satu O. Palva
21:Multivariate Methods for Functional Connectivity Analysis, Selin Aviyente
22:Brain Stimulation Approaches to Investigate EEG Oscillations, Florian Kasten, Christoph Herrmann
23:Parameterizing Neural Field Potential Data, Bradley Voytek

Author Information

Edited by Philip Gable, 1. Associate Professor, Department of Psychological and Brain Sciences, University of Delaware, Matthew Miller, 1. Associate Professor, School of Kinesiology, Auburn University, and Edward Bernat, Associate Professor, Department of Psychology, University of Maryland

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.