EEG (Electroencephalography) Book Collection
Quantitative EEG, Event-Related Potentials and Neurotherapy
While the brain is ruled to a large extent by chemical neurotransmitters, it is also a bioelectric organ. The collective study of Quantitative ElectroEncephaloGraphs (QEEG-the conversion of brainwaves to digital form to allow for comparison between neurologically normative and dysfunctional individuals), Event Related Potentials (ERPs – electrophysiological response to stimulus) and Neurotherapy (the process of actually retraining brain processes to) offers a window into brain physiology and function via computer and statistical analyses of traditional EEG patterns, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior.The volume provides detailed description of the various EEG rhythms and ERPs, the conventional analytic methods such as spectral analysis, and the emerging method utilizing QEEG and ERPs. This research is then related back to practice and all existing approaches in the field of Neurotherapy – conventional EEG-based neurofeedback, brain-computer interface, transcranial Direct Current Stimulation, and Transcranial Magnetic Stimulation – are covered in full. Additionally, software for EEG analysis is provided on a companion web site so that the theory can be practically utilized on the spot, and a database of the EEG algorithms described in the book can be combined with algorithms uploaded by the user in order to compare dysfunctional and normative data.While it does not offer the breadth provided by an edited work, this volume does provide a level of depth and detail that a single author can deliver, as well as giving readers insight into the personl theories of one of the preeminent leaders in the field. Features & Benefits:provide a holistic picture of quantitative EEG and event related potentials as a unified scientific field. present a unified description of the methods of quantitative EEG and event related potentials. give a scientifically based overview of existing approaches in the field of neurotherapy provide practical information for the better understanding and treatment of disorders, such as ADHD, Schizophrenia, Addiction, OCD, Depression, and Alzheimer’s Diseasecompanion web site containing software which analyzes EEG patterns and database sample EEGs / Reader can see actual examples of EEG patterns discussed in book and can upload their own library of EEGs for analysis
Atlas of EEG in Critical Care
Lawrence Hirsch, Richard Brenner
* Publisher: Wiley
* Number Of Pages: 344
* Publication Date: 2010-03-08
* ISBN-10 / ASIN: 0470987863
* ISBN-13 / EAN: 9780470987865
As the population ages, technology improves, intensive care medicine expands and neurocritical care advances, the use of EEG monitoring in the critically ill is becoming increasingly important.
This atlas is a comprehensive yet accessible introduction to the uses of EEG monitoring in the critical care setting. It includes basic EEG patterns seen in encephalopathy, both specific and non-specific, nonconvulsive seizures, periodic EEG patterns, and controversial patterns on the ictal–interictal continuum. Confusing artefacts, including ones that mimic seizures, are shown and explained, and the new standardized nomenclature for these patterns is included.
The Atlas of EEG in Critical Care explains the principles of technique and interpretation of recordings and discusses the techniques of data management, and ‘trending’ central to long-term monitoring. It demonstrates applications in multi-modal monitoring, correlating with new techniques such as microdialysis, and features superb illustrations of commonly observed neurologic events, including seizures, hemorrhagic stroke and ischaemia.
This atlas is written for practitioners, fellows and residents in critical care medicine, neurology, epilepsy and clinical neurophysiology, and is essential reading for anyone getting involved in EEG monitoring in the intensive care unit.
Handbook of EEG Interpretation
* Publisher: Demos Medical Publishing
* Number Of Pages: 300
* Publication Date: 2007-07-01
* Sales Rank: 506518
* ISBN / ASIN: 1933864117
* EAN: 9781933864112
EEG interpretation is a critical skill for most practicing neurologists, as well as for an increasing number of specialists in other practice settings. Handbook of EEG Interpretation, the first illustrated, portable handbook to discuss all aspects of clinical neurophysiology, is an essential means of quick reference for anyone involved in EEG interpretation. Handbook of EEG Interpretation provides practical information on reading EEGs by juxtaposing actual EEGs with bullet points of critical information, making it an essential neurophysiology reference for use during bedside, OR, ER, and ICU EEG interpretation. At once more concise, illustrative, and portable than other texts on EEG, Handbook of EEG Interpretation fits in a labcoat pocket, providing immediate information for anyone involved in EEG interpretation. It is a useful tool for all residents, fellows, and clinicians in neurology as well as many internists, psychiatrists, neurosurgeons, anesthesiologists, ICU staff, ER staff, EEG technologists, and nurses. The book’s seven main sections cover normal, abnormal, and epileptiform EEG patterns, as well as seizures, patterns of special significance (e.g., stupor and coma), polysomnography, and neurophysiologic intraoperative monitoring.
Introduction to Quantitative EEG and Neurofeedback
James R. Evans, Andrew Abarbanel (Editors)
* Publisher: Academic Press
* Number Of Pages: 406
* Publication Date: 1999-05-15
* Sales Rank: 489697
* ISBN / ASIN: 012243790X
* EAN: 9780122437908
Neurofeedback techniques are used as treatment for a variety of psychological disorders including attention deficit disorder, dissociative identity disorder, depression, drug and alcohol abuse, and brain injury. Resources for understanding what the technique is, how it is used, and to what disorders and patients it can be applied are scarce. An ideal tool for practicing clinicians and clinical psychologists in independent practice and hospital settings, this book provides an introduction to neurofeedback/neurotherapy techniques.
* Details advantages of quantitative EEG over other systems like PET and SPECT
* Gives details of QEEG procedures and typical measures
* Describes QEEG databases available for reference
* Recommends protocols for specific disorders/patient populations
** This is good collection of reference papers on various aspects of Quantitative EEG. This is an attempt to make EEG more “scientific” by trying to set up a framework of data to use as reference by the medical community as opposed to the more qualitative aspect of just looking at brainwaves. This thesis is apparent in the first paper which is probably just gibberish for anyone not interested in the basis for the database. However, the remainder of the papers contain some very interesting observations and are worth reading. There is a good paper detailing the success of a group using QEEG for children with ADD and ADHD which would be a great reference. That is, although the benefits of meditation have been noted for thousands of years there are many who feel that this is all magic now that we have science to rely on. Unfortunately for these folks they don’t usually know enough to question scientific endeavors and blindly accept any sort of a study as the “truth”. Well, now there is scientific evidence that meditation can have a positive effect on many problems including ADD and ADHD; hopefully this will keep a few kids off of drugs. In the end, this book is a useful reference to those seeking a more comprehensive view of meditation. In addition to Freeman’s work and Austin’s “Zen and the Brain” (among other books) we of the Western scientific background are slowly beginning to legitimize what others have been saying for quite a long time…Better yet, find a master and buy a zafu, you won’t regret it!
** This is the most comprehensive book on EEG biofeedback, Neurofeedback, Neurotherapy (all terms for the same basic approach.) It includes chapters by many of the leaders and pioners in the field and is an excellent resource for professionals / practitioners who wish to educate themselves As organizer of the Winter Brain Meeting– the world’s largest annual conference on EEG biofeedback / neurofeedback, I’ve recommended this book to many people.
** This book is unique and long-awaited by the small community of professionals in the specialized fields of Quantitative EEG assessment and neurofeedback therapy. Its various chapters, written by the acknowledged experts (Sterman on the basics, Lubar on ADHD, Peniston & Kulkosky on addictions, Ayers on traumatic brain injury, Rosenfeld on depression, etc.), contain a wealth of information that has never before been brought together in one place. People preparing for the BCIA Neurotherapy specialty certification exam will find it indispensable. Unfortunately, many of the authors write in thick, impenetrable academic styles that make the slogging harder than it needs to be.
** The first chapter was a little tough on the technical end but the rest of the book was smooth sailing. The next possiblities for human consciousness are explored in a detailed, scientific manner. The lay person will find some inspirational sections.
Quantitative EEG Analysis Methods and Clinical Applications (Engineering in Medicine & Biology)
Shanbao Tong, Nitish V. Thankor
* Publisher: Artech House Publishers
* Number Of Pages: 421
* Publication Date: 2009-03-31
* ISBN-10 / ASIN: 159693204X
* ISBN-13 / EAN: 9781596932043
Quantitative EEG (electroencephalography) is a cutting-edge technique used for topographic display and analysis of brain electrophysiological data. The use of quantitative EEG for diagnosing various psychiatric disorders is beginning to gain wide acceptance among professionals and researchers working in this area. This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG analysis. Moreover, readers find coverage of the latest and most popular application in the field, including mental and neurological disease detection/monitoring, physiological and cognitive phenomena research, and fMRI.
Review: QUANTUM OF EEG!!! wrote:
Are you a biomedical scientist working on neural signal processing and interpretation or a biomedical- or neural engineer who is working on qEEG analysis methods and developing novel clinical instrumentation? If you are, then this book is for you! Editors Shanbao Tong and Nitish V. Thankor, have done an outstanding job of editing a book which includes contributed chapters by leading scientists in their respective qEEG area, that provides an introduction to basic and advanced techniques used in qEEG analysis, and present some of the most successful qEEG applications.
Author Paul Nunez, begins with an examination of the physiological foundations of the generation of EEG signals. Next, authors Ingmar Gutberlet, Stefan Debener, Tzyy-Ping and Scott Makeig, explain how to effectively record the microvolt level of EEG signals and remove any artifacts. Then, authors Hasan Al-Nashash, Shivkumar Sabesan, Balu Krishnan, Jobi George, Konstantinos Tsakalis, Leon Iasermidis, and Shanbao Tong, review the most commonly used quantitative EEG analysis methods for single-channel EEG signals, including linear methods, nonlinear descriptors, and statistical measures. Author Rodrigo Quian Quiroga continues by introducing the four most important techniques for analyzing the interdependence between different EEG channels: cross-correlation, coherence, mutual information, and synchronization. Next, author Roberto Pascual-Marqui, describes the EEG source localization, also known as the EEG inverse problem. Then, authors Nicholas Fisher, Sachin Talathi, Alex Cadotte and Paul Carney, present one of the most successful clinical applications of qEEG–the detection and monitoring of epileptic seizures. Authors Nitish Thakor, Xiaofeng Jia and Romergryko Geocadin, continue by describing how EEG signals change following hypoic-ischemic brain injury. Next, authors Bo Hong, Yijun Wang, Xiaorong Gao and Shangkai Gao, interpret how qEEG techniques could be used as a direct nonmuscular communication channel between the brain and the external world. Then, author Ira Rampil provides an overview of the clinical utility of assessing the anesthetic response in individual patients undergoing routine surgery. Authors Paul Carney, Nicholas Fisher, William Ditto and James Geyer, continue by presenting an overview of the application of qEEG in one of the most fundamental aspects of everyone’s life: sleep. Next, authors Ian Cook, Aimee Hunter, Alexander Korb, Haleh Farabod and Andrew Leuchter, review the history of qEEG analysis in psychiatry and present the application of qEEG as a biomarker for psychiatric disorders. Then, authors Michael Wagner, Soumyadipta Acharya, Joseph Paul, and Nitish Thakor, introduce technologies registering the fMRI and EEG source images based on the volume conduction model. Authors Laura Astolfi, Andrea Tocci, Fabrizo De Vico Fallani, Febo Cincotti, Donatella Mattia, Serenella Salinari, Maria Grazia Marciani, Alfredio Colosimo and Fabio Babiloni, continue by presenting a methodology to assess cortical activity by estimating statistically significant sources using noninvasive high-resolution electroencephalography. Finally, authors Nathan Crone, Anna Korzeniewska, Supratim Ray and Piotr Franaszczuk, review how the advantages of intracranial EEG (iEEG) have been exploited in recent years to map the human cortical function for both clinical and research purposes.
This most excellent reference handbook, should be used primarily by biomedical scientists, clinicians and engineers in the R&D departments of biomedical companies. More importantly, this handbook should also be used by graduate students in neural engineering.
EEG Signal Processing
Dr Saeid Sanei, J. A. Chambers
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.
An Atlas of EEG Patterns
John M. Stern, Jerome Engel Jr.
Organized by wave features rather than pattern names, this atlas helps guide the reader to an EEG interpretation even when the waveform is unfamiliar. The first section takes the reader through the process of characterizing EEG waves by their features. The second section organizes EEG patterns by their features, so provides EEG waveform differential diagnoses. The third section is organized alphabetically by pattern name with each pattern described in a way that allows the reader to distinguish it from similarly appearing patterns. Examples of the patterns also are provided.
Matching Pursuit and Unification in EEG Analysis (Engineering in Medicine & Biology)
* Publisher: Artech House
* Number Of Pages: 184
* Publication Date: 2007-04
* ISBN-10 / ASIN: 1580533043
* ISBN-13 / EAN: 9781580533041
This definitive work provides an innovative methodology for biomedical signal analysis. It helps bridge the gap from visual analysis of EEGs to advanced signal processing techniques, serving as the first clear guide to adaptive approximations and the matching pursuit (MP) algorithm. You find a review of signal processing essentials, written in plain English, from sampling of analog signals and the inner product, to spectral and time-frequency methods of signal analysis.
This groundbreaking book introduces adaptive approximations and the basics of the matching pursuit algorithm, and explains advantages and limitations in applications relying on EEG analysis. From the parameterization of EEG transients to selective estimates of energy of relevant structures, various applications in sleep, ERD/ERS, pharmaco-EEG, and epilepsy research are explained, each spotlighting a unique feature of the matching pursuit algorithm. This comprehensive resource provides full mathematical details for all applications, including tricks necessary for efficient MP implementation, to help you modify procedures as needed or design all-new frameworks for analysis of biomedical signals. Moreover, software used in the applications can be downloaded free from the author’s website.
Introduction to Quantitative EEG and Neurofeedback, Second Edition: Advanced Theory and Applications
Thomas H. Budzynski, Helen Kogan Budzynski, James R. Evans, Andrew Abarbanel
The study of Quantitative EEGs and Neurofeedback offer 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 is, how they are used, and to what disorders and patients they can be applied are scarce, and this volume serves as an ideal tool for clinical researchers and practicing clinicians, providing a broad overview of the most interesting topics relating to the techniques. The revised coverage of advancements, new applications (e.g. Aspberger’s, music therapy, LORETA, etc.), and combinations of prior approaches make the second edition a necessary companion to the first. The top scholars in the field have been enlisted and contributions will offer both the breadth needed for an introductory scholar and the depth desired by a clinical professional. *Detailed new protocols for treatment of anxiety, depression, ADHD, and PTSD*Newest protocol in Z-score training enables clinicians to extend their practices*LORETA diagnostic tool lets the clinician watch for changes deep in the brain through working with surface EEG patterns
EEG – fMRI: Physiological Basis, Technique, and Applications
Christoph Mulert, Louis Lemieux
* Publisher: Springer
* Number Of Pages: 539
* Publication Date: 2009-12
* ISBN-10 / ASIN: 3540879188
* ISBN-13 / EAN: 9783540879183
Functional magnetic resonance imaging (fMRI) and Electronecephalography (EEG) are very important and complementary modalities since fMRI offers high spatial resolution and EEG is a direct measurement of neuronal activity with high temporal resolution. Interest in the integration of both types of data is growing rapidly as it promises to provide important new insights into human brain activity as it has already done so in the field of epilepsy. The availability of good quality instrumentation capable of providing interference-free data in both modalities means that electrophysiological and haemodynamic characteristics of individual brain events can be captured for the first time. Consequently, it seems certain that the integration of fMRI and EEG will play an increasing role in neuroscience and of the clinical study of brain disorders such as epilepsy.
The proposed book will discuss in detail the physiological principles, practical aspects of measurement, artefact reduction and analysis and also applications of the integration of fMRI and EEG. All applications, which are mainly in the fields of sleep research, cognitive neuroscience and clinical use in neurology and psychiatry will be reviewed.
Atlas of Pediatric EEG (Atlas Series)
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750 EEG tracings provide the visual assistance you need to diagnose pediatric seizure activity 4 STAR DOODY’S REVIEW! “The dearth of EEG atlases created solely for pediatrics make this work a welcome contribution to the field….I will certainly add this book to my EEG laboratory’s library. It will serve as a quick and ready resource to confirm unusual EEG patterns. The DVD itself is a treasure to instruct students, residents, fellows, and epilepsy monitoring unit nurses in the recognition of seizure and nonepileptic semiologies.”–Doody’s Review Service “This multimedia work provides an accessible, comprehensive, and timely tool for the child neurologist or epileptologist in training or in practice to become familiar with the extraordinary richness of the clinical and electrographic manifestations of childhood epilepsy. The text represents the distillation of an extraordinary body of clinical experience and painstaking attention to detail, which is characteristic of Dr. Laoprasert….Whether read cover-to-cover, used to review specific problems, or dipped into at random, this text makes learning about epilepsy in children a pleasure and will ultimately enhance the quality of their lives and those of their families.”–Marc C. Patterson, MD, FRACP, FAAN, Mayo Clinic, Rochester (from the foreword) Atlas of Pediatric EEG will prove to be an essential visual reference to for both the novice and experienced neurologist. For those new to the field, it will help develop the pattern recognition skills necessary to diagnose pediatric seizure activity. For experienced neurologists, it provides a working collection of known patterns to which they can compare their own tracings. Atlas of Pediatric EEG features a full-color presentation, easy-to-read bulleted chapter text, and detailed legends under each tracing that provide a full description and diagnosis of what is seen in the tracing. Chapters also contain case examples that add clinical relevance to the tracings. This unique atlas covers every type of seizure, both epileptic and non-epileptic and divided into nine chapters: Normal and Benign Varients Artifacts Newborn Focal Nonepileptoform Activity Generalized Noneplileptiform Activity ICU Epileptic Encephalopathy Generalized Epilepsy Focal Epilepsy Also included is a companion DVD containing 190 video clips to assist you in learning how to interpret video-EEG, which is rapidly becoming the most common modality for EEG.
Atlas of Ambulatory EEG
Steven C. Schachter, Donald L. Schomer, Bernard S. Chang (Editors)
* Publisher: Academic Press
* Number Of Pages: 120
* Publication Date: 2005-08-01
* Sales Rank: 945153
* ISBN / ASIN: 0126213453
* EAN: 9780126213454
Atlas of Ambulatory EEG is a first-of-its-kind publication in clinical neurophysiology, an atlas that comprehensively depicts normal, abnormal, and artifactual findings from actual ambulatory EEG recordings in a convenient and easily accessible format. As the use of ambulatory EEG has increased in recent years, the need for a concise atlas of ambulatory EEG has grown significantly, since ambulatory EEG tracings are subject to their own unique issues and artifacts, often not discussed in standard EEG atlases. This book begins with several chapters that introduce the history, technology, and clinical utility of ambulatory EEG. The bulk of the atlas consists of a page-by-page display of high-quality ambulatory EEG excerpts that are easy to review and come with short annotations describing the relevant findings. Atlas of Ambulatory EEG is a critical resource for anyone involved in the interpretation of ambulatory EEG studies. This cook contains a handy reference describing EEG patterns in normal and abnormal subjects based upon continuous monitoring techniques from widely used ambulatory EEG equipment as well as a section of EEG patterns without accompanying explanation that will test the reader’s ability to interpret the waveforms and answers will be given in a separate section.
Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology
Hojjat Adeli, Samanwoy Ghosh-Dastidar
* Publisher: CRC Press
* Number Of Pages: 423
* Publication Date: 2010-02-09
* ISBN-10 / ASIN: 1439815313
* ISBN-13 / EAN: 9781439815311
Inventing the Future of Neurology based on the authors’ groundbreaking research, this book presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of three different computing technologies and problem-solving paradigms: neural networks, wavelets, and chaos theory. The book also includes three introductory chapters that familiarize the readers with these three distinct paradigms.
After extensive research and the discovery of relevant mathematical markers, the authors present a methodology for epilepsy diagnosis and seizure detection that offers an exceptional accuracy rate of 96 percent.
The technology presented in the book has the potential to impact and transform neurology practice in a significant way. The book also includes some preliminary results towards EEG-based diagnosis of Alzheimer’s disease. The methodology presented in the book is especially versatile and can be adapted and applied for the diagnosis of other brain disorders. The senior author is currently extending the new technology to diagnosis of ADHD and autism. A second contribution made by the book is its presentation and advancement of Spiking Neural Networks as the seminal foundation of a more realistic and plausible third generation neural network.
Mark Quigg MD MSc
This book uses the unique vignette format of the best-selling Pearls Series
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