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Oxford Handbook of EEG Frequency [Kietas viršelis]

Edited by (Associate Professor, Department of Psychology, University of Maryland), Edited by (1. Associate Professor, School of Kinesiology, Auburn University), Edited by (1. Associate Professor, Department of Psychological and Brain Sciences, University of Delaware)
  • Formatas: Hardback, 630 pages, aukštis x plotis x storis: 254x177x35 mm, weight: 1356 g
  • Serija: Oxford Library of Psychology
  • Išleidimo metai: 11-Aug-2022
  • Leidėjas: Oxford University Press
  • ISBN-10: 0192898345
  • ISBN-13: 9780192898340
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 630 pages, aukštis x plotis x storis: 254x177x35 mm, weight: 1356 g
  • Serija: Oxford Library of Psychology
  • Išleidimo metai: 11-Aug-2022
  • Leidėjas: Oxford University Press
  • ISBN-10: 0192898345
  • ISBN-13: 9780192898340
Kitos knygos pagal šią temą:
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).
List of Contributors
ix
Foreword xiii
Preface xv
PART I
1 Introduction: Methods for Collecting EEG Data for Frequency Analyses in Humans
3(12)
Philip A. Gable
Matthew W. Miller
2 Logic behind EEG Frequency Analysis: Basic Electricity and Assumptions
15(25)
Kyle J. Curham
John J. B. Allen
3 From Neural Oscillations to Cognitive Processes
40(25)
Andreas Keil
Nina Thigpen
4 Time-Frequency Decomposition Methods for Event-Related Potential Analysis
65(23)
Selin Aviyente
5 Time Frequency Analyses in Event-Related Potential Methodologies
88(27)
Anna Weinberg
Paige Ethridge
Belel Ait Oumeziane
Dan Foti
6 The Relationship Between Evoked and Induced EEG/MEG Changes: Going Beyond Labels
115(16)
Ali Mazaheri
7 Frequency Analysis of the Monkey Neocortical Local Field Potential
131(14)
Steven L. Bressler
PART II
8 Gamma Activity in Sensory and Cognitive Processing
145(148)
Daniel Struber
Christoph S. Herrmann
9 Frontal Midline Theta as a Model Specimen of Cortical Theta
178(24)
James F. Cavanagh
Michael X Cohen
10 The Role of Alpha and Beta Oscillations in the Human EEG during Perception and Memory Processes
202(18)
Sebastian Michelmann
Benjamin Griffiths
Simon Hanslmayr
11 Theory and Research on Asymmetric Frontal Cortical Activity as Assessed by EEG Frequency Analyses
220(39)
Eddie Harmon-Jones
Taylor Popp
Philip A. Gable
12 Oscillatory Activity in Sensorimotor Function
259(34)
Bernadette C. M. van Wijk
PART III
13 EEG Frequency Development across Infancy and Childhood
293(31)
Kimberly Cuevas
Martha Ann Bell
14 Developmental Research on Time-Frequency Activity in Adolescence and Early Adulthood
324(28)
Stephen M. Malone
Jeremy Harper
William G. Iacono
15 Theta-Beta Power Ratio: An Electrophysiological Signature of Motivation, Attention and Cognitive Control
352(25)
Dennis J. L. G. Schutter
J. Leon Kenemans
16 Cortical Source Localization in EEG Frequency Analysis
377(24)
Wanze Xie
John E. Richards
17 Frequency Characteristics of Sleep
401(33)
Alpar S. Lazar
Zsolt I. Lazar
Robert Bodizs
18 A Review of Oscillatory Brain Dynamics in Schizophrenia
434(30)
Kevin M. Spencer
19 EEG Frequency Techniques for Imaging Control Functions in Anxiety
464(31)
Jason S. Moser
Courtney Louis
Lilianne Gloe
Stefanie Russman Block
Spencer Fix
PART IV
20 Bivariate Functional Connectivity Measures for Within - and Cross-Frequency Coupling of Neuronal Oscillations
495(19)
J. Matias Palva
Satu Palva
21 Multivariate Methods for Functional Connectivity Analysis
514(18)
Selin Aviyente
22 Brain Stimulation Approaches to Investigate EEG Oscillations
532(31)
Florian H. Kasten
Christoph S. Herrmann
23 Parameterizing Neural Field Potential Data
563(16)
Bradley Voytek
Index 579
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.