Author : Vladimir Litvak
Publisher : Frontiers Media SA
Page : 411 pages
File Size : 14,20 MB
Release : 2023-06-07
Category : Science
ISBN : 2832525644
Author : Mirko Grimaldi
Publisher : Springer Nature
Page : 800 pages
File Size : 19,16 MB
Release : 2023-09-04
Category : Medical
ISBN : 1071632639
Language, as a system we use to communicate, represents the brain’s biologically perfected machinery for converting thoughts (ideas, concepts, and reflections of both the outside world and our inner feelings) into words and sentences. Crucially, this process occurs in real time. How hundreds of billions of neurons within the dark of the skull control language and speech remains, in some respects, a mystery. To track such neural dynamics in time, we need to exploit physiological tools capable of following temporal patterns of neural activity on a fine-grain time scale. In parallel, it is necessary to begin to provide a real interdisciplinary academic background for scholars wishing to embark on this field of study. Unlike many similar efforts, this book has been conceived as a hands-on tool offering the reader the possibility to progressively acquire principles, techniques, and methods necessary to pursue interdisciplinary research in a fascinating field intersecting linguistic and neuroscience. It focuses on neurophysiological methods and applications useful to track the high speed and rapid temporal dynamics of neural activity involved in language and speech. The chapters in this book are organized into four parts. Part One discusses neural principles and tools for an effective approach to the field of investigation. Part Two looks at the issues and perspectives concerned with the use of a range of neurophysiological technologies to investigate the neural computations of language and speech processes. Part Three focuses on an in-depth exploration of the neural processes associated with the main types of linguistic information, ranging from phonemes and prosody to syntax, pragmatics, and figurative language. Lastly, Part Five explores the phenomena that goes beyond the segments of basic linguistic units. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory Cutting-edge and thorough, Language Electrified: Principles, Methods, and Future Perspectives of Investigation is a valuable resource that offers the necessary tool-box for all researchers and scientists interested in the challenging field of the neurophysiology of language and speech.
Author : Thomas R. Knösche
Publisher : Springer Nature
Page : 429 pages
File Size : 23,52 MB
Release : 2022-10-01
Category : Medical
ISBN : 3030749185
This textbook provides a comprehensive and didactic introduction from the basics to the current state of the art in the field of EEG/MEG source reconstruction. Reconstructing the generators or sources of electroencephalographic and magnetoencephalographic (EEG/MEG) signals is an important problem in basic neuroscience as well as clinical research and practice. Over the past few decades, an entire theory, together with a whole collection of algorithms and techniques, has developed. In this textbook, the authors provide a unified perspective on a broad range of EEG/MEG source reconstruction methods, with particular emphasis on their respective assumptions about sources, data, head tissues, and sensor properties. An introductory chapter highlights the concept of brain imaging and the particular importance of the neuroelectromagnetic inverse problem. This is followed by an in-depth discussion of neural information processing and brain signal generation and an introduction to the practice of data acquisition. Next, the relevant mathematical models for the sources of EEG and MEG are discussed in detail, followed by the neuroelectromagnetic forward problem, that is, the prediction of EEG or MEG signals from those source models, using biophysical descriptions of the head tissues and the sensors. The main part of this textbook is dedicated to the source reconstruction methods. The authors present a theoretical framework of the neuroelectromagnetic inverse problem, centered on Bayes’ theorem, which then serves as the basis for a detailed description of a large variety of techniques, including dipole fit methods, distributed source reconstruction, spatial filters, and dynamic source reconstruction methods. The final two chapters address the important topic of assessment, including verification and validation of source reconstruction methods, and their actual application to real-world scientific and clinical questions. This book is intended as basic reading for anybody who is engaged with EEG/MEG source reconstruction, be it as a method developer or as a user, including advanced undergraduate students, PhD students, and postdocs in neuroscience, biomedical engineering, and related fields.
Author : Charles E. McCulloch
Publisher : IMS
Page : 100 pages
File Size : 47,48 MB
Release : 2003
Category : Mathematics
ISBN : 9780940600546
Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses from the basic one-way classification to generalized linear mixed models. A variety of statistical methods are explained and illustrated, with an emphasis on maximum likelihood and restricted maximum likelihood. An invaluable resource for applied statisticians and industrial practitioners, as well as students interested in the latest results, Generalized, Linear, and Mixed Models features: * A review of the basics of linear models and linear mixed models * Descriptions of models for nonnormal data, including generalized linear and nonlinear models * Analysis and illustration of techniques for a variety of real data sets * Information on the accommodation of longitudinal data using these models * Coverage of the prediction of realized values of random effects * A discussion of the impact of computing issues on mixed models
Author : William D. Penny
Publisher : Elsevier
Page : 689 pages
File Size : 30,63 MB
Release : 2011-04-28
Category : Psychology
ISBN : 0080466508
In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible
Author : Aamir Saeed Malik
Publisher : Academic Press
Page : 297 pages
File Size : 31,28 MB
Release : 2017-05-25
Category : Psychology
ISBN : 0128111410
Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one's experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis. - Written to assist neuroscientists in experiment designs using EEG - Presents a step-by-step approach to designing both clinical and behavioral EEG experiments - Includes experiment design codes and example datasets - Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples - Includes appendices that provide recruitment forms, ethics forms, and various subjective tests associated with each of the chapters
Author : Todd C. Handy
Publisher : MIT Press
Page : 430 pages
File Size : 12,7 MB
Release : 2005
Category : Medical
ISBN : 9780262083331
The first comprehensive handbook to detail ERP methodology, covering experimental design, data analysis, and special applications.
Author : Donald L. Schomer
Publisher : Lippincott Williams & Wilkins
Page : 1308 pages
File Size : 41,28 MB
Release : 2012-10-18
Category : Medical
ISBN : 1451153155
The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.
Author : Chang-Hwan Im
Publisher : Springer
Page : 232 pages
File Size : 34,60 MB
Release : 2018-08-16
Category : Science
ISBN : 9811309086
This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.
Author : Riitta Hari
Publisher : Oxford University Press
Page : 481 pages
File Size : 23,72 MB
Release : 2023
Category : Medical
ISBN : 0197542182
"Neuronal communication in the brain is associated with minute electrical currents that give rise to both electrical potentials on the scalp (measurable by means of electroencephalography [EEG]) and magnetic fields outside the head (measurable by means of magnetoencephalography [MEG]). Both MEG and EEG are noninvasive neurophysiological methods used to study brain dynamics, temporal changes in the activation patterns, and sequences. Their differences between MEG and EEG mainly reflect differences in the spread of electric potentials and magnetic fields generated by the same electric currents in the human brain. In this chapter, we give an overall description of the main principles of MEG and EEG, going deeper into details in the following chapters"--
