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MEG: An Introduction to Methods

Peter Hansen, Morten Kringelbach, and Riitta Salmelin


Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function. This introduction to MEG brings together chapters which provide the basic tools for planning and executing MEG experiments, as well as analyzing and interpreting the resulting data. Chapters on the basics describe the fundamentals of MEG and its instrumentation, and provide guidelines for designing experiments and performing successful measurements. Chapters on data analysis present it in detail, ... More

Keywords: magnetoencephalography, MEG experiments, data, oscillatory background activity, inverse problem, minimum norm estimates, spatial filters, beamformers, neuroimaging, sensory processing

Bibliographic Information

Print publication date: 2010 Print ISBN-13: 9780195307238
Published to Oxford Scholarship Online: September 2010 DOI:10.1093/acprof:oso/9780195307238.001.0001


Affiliations are at time of print publication.

Peter Hansen, editor
School of Psychology, University of Birmingham, UK

Morten Kringelbach, editor
University of Oxford, UK, and Aarhus University, Denmark

Riitta Salmelin, editor
Helsinki University of Technology, Finland

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1 Electrophysiological Basis of MEG Signals

Fernando H. Lopes da Silva

3 Measurements

Lauri Parkkonen and Riitta Salmelin

4 Experimental Design

Riitta Salmelin and Lauri Parkkonen

8 Anatomically and Functionally Constrained Minimum-Norm Estimates

Matti S. Hämäläinen, Fa-Hsuan Lin, and John C. Mosher

9 Noninvasive Functional Tomographic Connectivity Analysis with Magnetoencephalography

Joachim Gross, Jan Kujala, Riitta Salmelin, and Alfons Schnitzler

10 Statistical Inference in MEG Distributed Source Imaging

Dimitrios Pantazis and Richard M. Leahy

11 Combining Neuroimaging Techniques: The Future

Jean-Baptiste Poline, Line Garnero and Pierre-Jean Lahaye

12 Somatosensory and Motor Function

Ryusuke Kakigi and Nina Forss

15 Using Magnetoencephalography to Elucidate the Principles of Deep Brain Stimulation

Morten L. Kringelbach, Peter C. Hansen, Alex L. Green, and Tipu Z. Aziz