Skip to main content
SpringerLink
Log in
Book cover

Magnetoencephalography

From Signals to Dynamic Cortical Networks

  • Book
  • © 2014

Overview

Editors:
  1. Selma Supek

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Cheryl J. Aine

    1. School of Medicine Department of Radiology, University of New Mexico, Albuquerque, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Explains the basic signal processing and source localization techniques
  • Includes measurements of perceptual and cognitive brain processes
  • Discusses hot, open and challenging issues in MEG
  • Written by leading experts
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (50 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

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

    1. Front Matter

      Pages 1-1
      Download chapter 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
      Download chapter PDF

    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
      Download chapter PDF

    2. An Introduction to MEG Connectivity Measurements

      • Matthew J. Brookes, Mark W. Woolrich, Darren Price
      Pages 321-358
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • 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

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation