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Author: Michiel Spape
Publisher: SAGE
ISBN: 1529766109
Category : Psychology
Languages : en
Pages : 279
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Book Description
Do you want to learn to read people′s minds? In this student-friendly, practice-focussed textbook on EEG and biosignal analysis, you will learn how to: Implement your experiment in E-Prime or OpenSesame; Run your study in the psychophysiological laboratory; Analyse data in MATLAB by following simple steps. This textbook follows a unique approach by guiding you through a single EEG study, each part introducing the relevant core knowledge and commonly available software. Practical exercises help you master the skills to independently implement every aspect of an experiment, from setting up the lab to analysing the data. Suitable for developing both basic levels of skill for undergraduates as well as advancing towards a stronger command of analysis and understanding at postgraduate level. Michiel Spapé is a Lecturer and Researcher in Psychology at the University of Helsinki.
Author: Michiel Spape
Publisher: SAGE
ISBN: 1529766109
Category : Psychology
Languages : en
Pages : 279
Get Book
Book Description
Do you want to learn to read people′s minds? In this student-friendly, practice-focussed textbook on EEG and biosignal analysis, you will learn how to: Implement your experiment in E-Prime or OpenSesame; Run your study in the psychophysiological laboratory; Analyse data in MATLAB by following simple steps. This textbook follows a unique approach by guiding you through a single EEG study, each part introducing the relevant core knowledge and commonly available software. Practical exercises help you master the skills to independently implement every aspect of an experiment, from setting up the lab to analysing the data. Suitable for developing both basic levels of skill for undergraduates as well as advancing towards a stronger command of analysis and understanding at postgraduate level. Michiel Spapé is a Lecturer and Researcher in Psychology at the University of Helsinki.
Author: Cheryl L Dickter
Publisher: SAGE
ISBN: 1446292630
Category : Psychology
Languages : en
Pages : 323
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Book Description
A unique and important resource, full of critical practical knowledge and technical details made readily accessible. - Tiffany Ito, University of Colorado at Boulder "A comprehensive and engaging guide to EEG methods in social neuroscience; Dickter and Kiefabber offer practical details for conducting EEG research in a social/personality lab, with a broad perspective on how neuroscience can inform psychology. This is a unique and invaluable resource - a must-have for scientists interested in the social brain." - David M. Amodio, New York University Electroencephalography (EEG) has seen a dramatic increase in application as a research tool in the psychological sciences in recent years. This book provides an introduction to the technology and techniques of EEG in the context of social and cognitive neuroscience research that will appeal to investigators (students or researchers) wishing to broaden their research aims to include EEG, and to those already using EEG but wishing to expand their analytic repertoire. It can also serve as a textbook for a postgraduate course or upper-level undergraduate course in any area of behavioural neuroscience. The book provides an introduction to the theory, technology, and techniques of EEG data analysis along with the practical skills required to engage this popular technology. Beginning with a background in the neural origins and physical principles involved in recording EEG, readers will also find discussions of practical considerations regarding the recording of EEG in humans as well as tips for the configuration of an EEG laboratory. The analytic methods covered include event-related brain potentials (ERPs), spectral asymmetry, and time-frequency analyses. A conceptual background and review of domain-specific applications of the method is provided for each type of analysis. There′s also comprehensive guided analysis for each analytic method that includes tutorial-style instruction and sample datasets. This book is perfect for advanced students and researchers in the psychological sciences and related disciplines who are using EEG in their research.
Author: Nikolai Axmacher
Publisher: Springer Nature
ISBN: 3031209109
Category : Technology & Engineering
Languages : en
Pages : 909
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Book Description
This book offers the first, comprehensive guide to planning and conducting intracranial EEG studies, and analyzing intracranial EEG data. The chapters address core questions in the field of intracranial EEG research. They are written by internationally recognized experts in the domain of intracranial EEG and acknowledge the heterogeneity of approaches in this field. The particular format of the book allows readers to find clear guidelines, hands-on expertise and invaluable background information for planning and conducting state-of-the-art intracranial EEG research projects. Besides offering a reference guide to newcomers in the field, it also provides scholarly information for the more experienced researcher and inspiration for the expert. The book covers a wide range of topics, with a special emphasis on aspects in which intracranial EEG data differ from other types of data in the cognitive neurosciences. It discusses typical patient characteristics and implantation schemes, ethical issues, and practical considerations for planning and running intracranial EEG experiments. It addresses signal characteristics and the physiological background of oscillatory and non-oscillatory aspects of intracranial EEG signals. It describes complex pre-processing steps such as advantages and disadvantages of different referencing schemes, and how to identify the location of electrodes. In addition, it answers specific questions on data processing, addressing core aspects of statistical analysis, and suggesting guidelines for data presentation. Further, it covers advanced topics such as causal interventions (i.e. deep brain stimulation), acquisition and analysis of single-unit data and multimodal recordings, and discusses important future challenges and opportunities in the field of intracranial EEG research.
Author: Jacob Empson
Publisher:
ISBN: 9780947818920
Category : Electroencephalography
Languages : en
Pages : 126
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Book Description
Author: Thoru Yamada
Publisher: Lippincott Williams & Wilkins
ISBN: 0781778611
Category : Psychology
Languages : en
Pages : 352
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Book Description
Written by a noted leader in electroneurodiagnostic technology, this book will be a standard text and reference for technologists, neurology residents, and clinical neurophysiology fellows. It will be a valuable aid in preparing for the ABRET (American Board of Registration of Electroencephalographic and Evoked Potential Technologists) certification or the neurophysiology boards. The first part covers the technical aspects of electroneurodiagnosis; the second part covers clinical applications and diagnostic utilities. The text focuses on digital recording and includes analyses based on digital data. Emphasis is on pattern recognition, artifacts recognition, technical pitfalls, and the clinical correlates of electroencephalography. The book includes material to assist students in recognizing specific artifacts. Coverage includes principles of digital recording, electronics and electrical safety. A companion Website will include a question bank and a streaming video showing how to place electrodes.
Author: Dan R. Chartier
Publisher: Elsevier
ISBN: 0323984339
Category : Psychology
Languages : en
Pages : 594
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Book Description
Introduction to Quantitative EEG and Neurofeedback, Third Edition offers a window into brain physiology and function via computer and statistical analyses, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior. Resources for understanding what QEEG and neurofeedback are, how they are used, and to what disorders and patients they can be applied are scarce, hence this volume serves as an ideal tool for clinical researchers and practicing clinicians. Sections cover advancements (including Microcurrent Electrical Stimulation, photobiomodulation), new applications (e.g. Asperger's, music therapy, LORETA, etc.), and combinations of prior approaches. New chapters on smart-phone technologies and mindfulness highlight their clinical relevance. Written by top scholars in the field, this book offers both the breadth needed for an introductory scholar and the depth desired by a clinical professional. Covers neurofeedback use in depression, ADHD, addiction, pain, PTSD, and more Discusses the use of adjunct modalities in neurotherapy Features topics relevant to the knowledge blueprints for both the International QEEG Certification Board and International Board of Quantitative Electrophysiology Includes new chapters on photobiomodulation, smart-phone applications and mindfulness
Author: Li Hu
Publisher: Springer Nature
ISBN: 9811391130
Category : Medical
Languages : en
Pages : 437
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Book Description
This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.
Author: Gerald Ulrich
Publisher: Bmed Press LLC
ISBN: 9780982749821
Category : Medical
Languages : en
Pages : 418
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Book Description
Gerald Ulrich, MD provides an authoritative, advanced guide to theory-based EEG interpretation that is grounded in the Berlin Psychiatry School Model of EEG-Vigilance. The Berlin model is not well known in the United States. Instead, EEG is dominated by data-driven Q-EEG where one looks at mathematical correlations without a coherent theory to guide interpretation. This is the first known published book on this topic. Dr. Ulrich's aim is to help the reader increase self-confidence in EEG assessment in clinical practice or research and to facilitate more reliable and valid EEG interpretations. He provides a skilled synthesis of decades of EEG research alongside his expert insights from his 40 years of clinical experience and research with EEG. The reader will learn how to visually discern spatio-temporal patterns with 132 high-quality examples of EEG images - the majority within the course of spontaneous resting EEGs. Additionally, the EEG-pathology of psychiatric syndromes and the impact of common psychotropic medications on the EEG are described in detail. Another important contribution is the identification of a common type of biological artifact which has gone unnoticed in research that is likely responsible for the unsatisfactory test-retest reliability and questionable validity of the EEG; the author proposes a simple solution to this vexing artifact problem. In the second part of the book, the reader is introduced to novel QEEG procedures, especially related to EEG dynamics, which can be regarded as meaningful within the theory of EEG-vigilance.
Author: Philip Gable
Publisher: Oxford University Press
ISBN: 0192653369
Category : Science
Languages : en
Pages : 632
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Book 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).
Author: Mike X Cohen
Publisher: MIT Press
ISBN: 0262019876
Category : Psychology
Languages : en
Pages : 615
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Book Description
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.
