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