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Magnetoencephalography

From Signals to Dynamic Cortical Networks

  • Selma Supek
  • Cheryl J. Aine
Living reference work

Table of contents

About this book

Introduction

This book covers the richness and transdisciplinary nature of the MEG field, making it more accessible to newcomers and experienced researchers and stimulating growth in the MEG area. Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks.

The new edition, which is now presented as a Springer Reference, provides more in depth tutorial on physiological basis of MEG and its spatio-temporal resolution as well as evaluation of a range of modeling approaches based on their theoretical and physiological basis. A set of 29 new chapters cover families of modeling approaches, novel  multi-modeling fusions and related modeling approaches, more open  source analysis packages and how they perform on simulated and  empirical data, more clinical applications. An entire new section is added for novel brain research topics such as neurophysiological basis of consciousness, social interaction, economic decision making. In the last two years significant advances have been made in the field of novel sensor developments, particularly optically pumped magnetometers which will be leading to new MEG systems. SQUID based systems are already profiting from a range of emerging zero helium boil-off MEG technologies which we will be covering. 

The book presents a comprehensive knowledge source of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.

Keywords

functional brain imaging MEG, EEG, low field MRI, fMRI SQUID, MEG sensors biomagnetic forward and inverse problem biomagnetism clinical applications of MEG cortical oscillations and functional connectivity fetal MEG and pediatric neuromagnetism neuromagnetic measures of perception and cognition source localization

Editors and affiliations

  • Selma Supek
    • 1
  • Cheryl J. Aine
    • 2
  1. 1.Faculty of Science, Department of PhysicsUniversity of ZagrebZagrebCroatia
  2. 2.School of Medicine Department of RadiologyUniversity of New MexicoAlbuquerqueUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-62657-4
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Online ISBN 978-3-319-62657-4