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TracyWarbrickEditor
TheEEG Handbook
From Principles toPractice
The EEG Handbook
Tracy Warbrick
The EEG Handbook
From Principles to Practice
Editor
Tracy Warbrick Brain Products GmbH Gilching, Germany
ISBN 978-3-032-20449-3 ISBN 978-3-032-20450-9 (eBook)
https://doi.org/10.1007/978-3-032-20450-9
© Brain Products GmbH 2026
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microlms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specic statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional afliations.
This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
If disposing of this product, please recycle the paper.

Preface

This book is about doing EEG research well. Our aim is to provide a trusted companion for students learning about EEG and for researchers conducting EEG studies. A key strength of this book is its emphasis on practical guidance. A book that not only explains the science behind EEG but also helps you navigate the real­world challenges of performing high-quality reproducible EEG research in the laboratory. Drawing on more than 25 years of collective experience supporting the neurophysiology research community, the authors understand where students and researchers commonly encounter difculties and how best to support them. Along­side the fundamental scientic background and core principles of EEG measurement and analysis, we explore essential skills such as how to read EEG papers critically, how to present your own ndings clearly, and how to follow good scientic practices in neuroscience. These skills form the foundation of a successful career in EEG research. Experienced academics also contribute their expertise on specic applica­tions, adding depth and breadth to the books content. The result is a resource designed not just to be read but to be used, whether you are preparing a course assignment, planning your next study, or troubleshooting an EEG recording in the lab.
Gilching, Germany Tracy Warbrick
v

Acknowledgments

I would like to thank all contributors for their hard work and comm itment in bringing this project to fruition. The depth and breadth of the books content reect their expertise and dedication. I am especially grateful to Olga Nusser for her invaluable assistance with gures and illustrations for the chapters authored by the Brain Products team. Finally, I would like to sincerely thank Pierluigi Castellone, General Manager, Brain Products GmbH, for his support in making this book possible.
vii

About This Book

Our aim is to offer a reliable companion for students and researchers conducting EEG studies. This book is divided into seven parts each addressing a key stage in the EEG research workow: from basic concepts to practical lab work, data analysis, and scientic reporting. While the book is organized to guide readers step-by-step through the process of designing, conduct ing, and communicating high-quality EEG research, it does not have to be read linearly from cover to cover. Instead, readers are encouraged to dip into the parts most relevant to their current stage of learning, coursework, or research. The seven parts are outlined below.
Part I: Fundamentals of EEG A strong foundation in EEG research begins with
tanding what the EEG signal represents and how to interpret the activity
unders recorded. This section opens with an overview of the current state of the art in EEG, providing context for how the eld has developed and where it is heading. We then introduce key concepts such as how EEG signals are generated, how they can be used in practice, and how to make full use of EEGs high temporal resolution. EEG depends on underlying biological processes; therefore it is also essential to under­stand the physiological and anatomical conditions under which these signals arise. For this reason, we cover the basic anatomy of the central and peripheral nervous systems, EEG in relation to human physiology, and brain states.
Part II: Experimental Design and Good Scientic Practice This part focuses on the
principles of sound experimental design in EEG research. We discuss why statistical inference matters and why you should consider this in study design. We also provide practical guidance on pilot testing to optimize data quality. The section concludes with advice on establishing efcient and reproducible workows for your studies.
Part III: EEG Data Acquisition Planning an EEG study involves numerous
ions, from selecting equipment and recording parameters to conguring trig-
decis gers and managing potential artifacts. This section outlines the key considerations
ix
x About This Book
for effective EEG data acquisition and offers practical tips and troubleshooting strategies to help you optimize your experimental setup.
Part IV: Processing EEG Data There are many approaches to analyzing EEG data. In this section, we introduce common preprocessing steps and o ffer guidance on determining which steps are appropriate for your study. We also describe analytical approaches in both the time and frequency domains.
Part V: What Is EEG Used For? EEG supports a wide range of applications, and
g an overview of these can provide inspiration and context for your own work.
gainin We begin with an outline of academic and clinical uses of EEG, followed by in-depth contributions from experts who discuss specic application areas in greater detail: BCI, focal epilepsy, neonatal and pediatric clinical applications, sleep, and mobile EEG applications.
Part VI: Multimodal EEG Applications While EEG is a powerful tool in its own right,
combining it with other measurement or stimulati on modalities can provide deeper insights into brain function and behavior. This section explains why specic multimodal combinations are valuable and highlights their contribution to the broader neuroimaging literature.
Part VII: Writing and Reading Research Papers Reading and writing scientic
ure are essential skills for researchers. After completing a study and analyzing
literat the data, researchers must communicate their ndings clearly and transparently to the research community. This nal section offers guidance on reporting EEG methods and results, including how to present data using gures, tables, and statistics. We also discuss how to read EEG literature critically and extract the information needed to evaluate and interpret published ndings.
We since
rely believe that the EEG Handbook: From Principles to Practice will provide students and researchers with the knowledge and tools to become procient EEG practitioners.

Contents

Part I Fundamentals of EEG
1 EEG in Context: Past, Present, and Future . . . . . .............. 3
Tracy Warbrick
2 What Is EEG? . . . . . . . . ................................. 15
Fernando Cross Villasana
3 Basic Anatomy: Central Nervous System . . . . ................ 31
Shivakumar Viswanathan
4 Basic Anatomy: Peripheral Nervous System . . . . . . . . . . . . . . . . . . 41
Cilia Jaeger
5 EEG in the Context of Human Physiology . . . . . . . . ............ 55
Michael Hoppstädter
6 Brain States . . . . . . . .................................... 63
Cilia Jaeger
7 Basic Time Concepts in EEG Practice . . . . . . . . . .............. 75
Shivakumar Viswanathan
Part II Experimental Design and Good Scientic Practice
8 Designing Your EEG Study . . . . . .......................... 89
Fernando Cross Villasana
9 Applying Statistics in Your EEG Research . . . . . . ............. 105
Shivakumar Viswanathan
10 Pilot Testing . . . . . . . . . . . . . . . . . . . . . ..................... 117
Paulo Rodrigo Bazán
xi
xii Contents
11 Study Workow and Lab Management . . . . . . . . .............. 129
Tracy Warbrick and David Kadlec
Part III EEG Data Acquisition
12 Hardware for Recording EEG and Peripheral Physiology . . ..... 141
Tracy Warbrick and Cilia Jaeger
13 Software for Recording EEG and Peripheral Physiology . . . . . . . . . 155
Tracy Warbrick and David Kadlec
14 Triggers . . . . . . . . . . ................................... 163
Alex Kreilinger and Paulo Rodrigo Bazán
15 Getting Clean Data: Artifacts and How to Prevent Them . . . . . . . . 175
David Kadlec, Shivakumar Viswanathan, and Hannah Kreilinger
16 Practical Aspects of EEG Data Acquisition . . . . . . . ............ 197
Paulo Rodrigo Bazán
Part IV Processing EEG Data
17 EEG Preprocessing and Artifact Handling . . . . . . . . ........... 211
Yin Fen Low and Ramon Martinez-Cancino
18 Introduction to EEG Oscillations and Spectral Analysis . . . . . .... 227
Ramon Martinez-Cancino and Yin Fen Low
19 Event-Related Potentials . . . . . . . . . ........................ 239
Michael Hoppstädter
20 EEG Source Analysis . . . . . . . . . . . ........................ 255
Alejandro Ojeda
21 Online Processing . . . . . . . . . . . . . . . . ...................... 269
Alex Kreilinger and Alejandro Ojeda
22 Quantifying EEG and ERP Data Quality . . . ................. 279
Steven J. Luck
Part V What Is EEG Used For?
23 EEG in Basic Science and Academic Research . . . . . . . ......... 303
Fernando Cross Villasana
24 Clinical Applications . . . . . . . . . . . . ........................ 317
Cilia Jaeger
25 From Brain Signals to Neuroadaptive Technology:
BCIs for Human-Computer Interaction . . . . . . . . ............. 331
Marius
Klug, Diana E. Gherman-Nagy, and Thorsten O. Zander