Magnetoencephalography

Download or read book Clinical Magnetoencephalography and Magnetic Source Imaging written by Andrew C. Papanicolaou and published by Cambridge University Press. This book was released on 2009-08-13 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first volume on clinical magnetoencephalography and magnetic source imaging, measuring the magnetic fields generated by neuronal activity in the brain.

Download or read book Magnetoencephalography: Methodological innovation paves the way for scientific discoveries and new clinical applications written by Rafeed Alkawadri and published by Frontiers Media SA. This book was released on 2022-12-29 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book EEG/MEG Source Reconstruction written by Thomas R. Knösche and published by Springer Nature. This book was released on 2022-10-01 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Magnetoencephalography written by Susumu Sato and published by . This book was released on 1990 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: An evaluation of the diagnostic utility of MEG and its clinical role in relation to EEG. Sato (Chief of EEG Laboratory and Neurophysiology Unit, Medical Neurology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland) and other investigators who are at the forefront of MEG research report their own firsthand experiences with this new technology and explore its possible future applications. Annotation copyrighted by Book News, Inc., Portland, OR

Download or read book Electroencephalography and Magnetoencephalography written by George Dassios and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-08 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electroencephalography and magnetoencephalography are the two most efficient techniques to study the functional brain. This book completely aswers the fundamental mathematical question of uniqueness of the representations obtained using these techniques, and also covers many other concrete results for special geometric models of the brain, presenting the research of the authors and their groups in the last two decades.

Download or read book MEG-EEG Primer written by Riitta Hari and published by Oxford University Press. This book was released on 2023 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Download or read book Brain Signals written by Risto J. Ilmoniemi and published by MIT Press. This book was released on 2019-05-28 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified treatment of the generation and analysis of brain-generated electromagnetic fields. In Brain Signals, Risto Ilmoniemi and Jukka Sarvas present the basic physical and mathematical principles of magnetoencephalography (MEG) and electroencephalography (EEG), describing what kind of information is available in the neuroelectromagnetic field and how the measured MEG and EEG signals can be analyzed. Unlike most previous works on these topics, which have been collections of writings by different authors using different conventions, this book presents the material in a unified manner, providing the reader with a thorough understanding of basic principles and a firm basis for analyzing data generated by MEG and EEG. The book first provides a brief introduction to brain states and the early history of EEG and MEG, describes the generation of electromagnetic fields by neuronal activity, and discusses the electromagnetic forward problem. The authors then turn to EEG and MEG analysis, offering a review of linear and matrix algebra and basic statistics needed for analysis of the data, and presenting several analysis methods: dipole fitting; the minimum norm estimate (MNE); beamforming; the multiple signal classification algorithm (MUSIC), including RAP-MUSIC with the RAP dilemma and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint diagonalization.