The Oxford Handbook Of Eeg Frequency

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The Oxford Handbook of EEG Frequency

The Oxford Handbook of EEG Frequency
Author :
Publisher : Oxford University Press
Total Pages : 641
Release :
ISBN-10 : 9780192653376
ISBN-13 : 0192653377
Rating : 4/5 (377 Downloads)

Book Synopsis The Oxford Handbook of EEG Frequency by : Philip Gable

Download or read book The Oxford Handbook of EEG Frequency written by Philip Gable and published by Oxford University Press. This book was released on 2022-07-28 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).


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