Magnetoencephalography

1. Front Matter

   Pages i-xxi

   PDF

2. Tutorials on Measurement, Physical Basis of Analysis, and Experimental Design

   1. Front Matter

      Pages 1-1

      PDF

   2. Instrumentation for Measuring MEG Signals

      • Yong-Ho Lee, Kiwoong Kim

      Pages 3-33

   3. Novel Noise Reduction Methods

      • Samu Taulu, Juha Simola, Jukka Nenonen, Lauri Parkkonen

      Pages 35-71

   4. Electric and Magnetic Fields of the Brain

      • Leon Heller, Petr Volegov

      Pages 73-105

   5. Forward Modeling and Tissue Conductivities

      • Jens Haueisen, Thomas R. Knösche

      Pages 107-127

   6. Designing MEG Experiments

      • Julia M. Stephen

      Pages 129-159

3. Source Analysis and Multi-Modal Integration

   1. Front Matter

      Pages 161-161

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   2. Magnetoencephalographic Imaging

      • Srikantan Nagarajan, Kensuke Sekihara

      Pages 163-182

   3. MEG and Multimodal Integration

      • Seppo P. Ahlfors

      Pages 183-198

   4. MEG/EEG Data Analysis Using EEGLAB

      • John R. Iversen, Scott Makeig

      Pages 199-212

   5. Fusing Concurrent EEG and fMRI Intrinsic Networks

      • David Bridwell, Vince Calhoun

      Pages 213-235

   6. MRIVIEW: A Software Package for the Analysis and Visualization of Brain Imaging Data

      • Doug Ranken

      Pages 237-254

   7. NUTMEG: Open Source Software for MEG/EEG Source Reconstruction

      • Johanna M. Zumer, Daniel D. E. Wong, Adrian G. Guggisberg, Srikantan S. Nagarajan, Sarang S. Dalal

      Pages 255-262

   8. Recent Developments in MEG Network Analysis

      • Arjan Hillebrand, Cornelis J. Stam

      Pages 263-277

   9. Non-parametric Statistical Analysis of Map Topographies on the Epoch Level

      • Michael Wagner

      Pages 279-284

   10. MEG-SIM Web Portal: A Database of Realistic Simulated and Empirical MEG Data for Testing Algorithms

       • Lori Sanfratello, Julia Stephen, Elaine Best, Doug Ranken, Cheryl Aine

       Pages 285-307

   11. Analyzing MEG Data with Granger Causality: Promises and Pitfalls

       • Mingzhou Ding, Chao Wang

       Pages 309-318

4. Functional Connectivity and Oscillatory Activity

   1. Front Matter

      Pages 319-319

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   2. An Introduction to MEG Connectivity Measurements

      • Matthew J. Brookes, Mark W. Woolrich, Darren Price

      Pages 321-358

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. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. 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.

• 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
• functional brain imaging
• neuromagnetic measures of perception and cognition
• source localization

• Faculty of Science Dep. of Physics, University of Zagreb, Zagreb, Croatia

  Selma Supek

• School of Medicine Department of Radiology, University of New Mexico, Albuquerque, USA

  Cheryl J. Aine

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