Full Description
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. In this comprehensive introduction to MEG, Peter Hansen, Morten Kringelbach, and Riitta Salmelin have brought together the leading researchers to 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, from general concepts and assumptions to analysis of evoked responses and oscillatory background activity. Chapters on solutions propose potential solutions to the inverse problem using techniques such as minimum norm estimates, spatial filters and beamformers. Chapters on combinations elucidate how MEG can be used to complement other neuroimaging techniques. Chapters on applications provide practical examples of how to use MEG to study sensory processing and cognitive tasks, and how MEG can be used in a clinical setting. These chapters form a complete basic reference source for those interested in exploring or already using MEG that will hopefully inspire them to try to develop new, exciting approaches to designing and analyzing their own studies. This book will be a valuable resource for researchers from diverse fields, including neuroimaging, cognitive neuroscience, medical imaging, computer modelling, as well as for clinical practitioners.
Contents
Contributors
Introduction
Chapter 1: Electrophysiological basis of MEG signals
Fernando H. Lopes da Silva
Chapter 2: Instrumentation and data pre-processing
Lauri Parkkonen
Chapter 3: Measurements
Lauri Parkkonen and Riitta Salmelin
Chapter 4: The dowser in the fields: Searching for MEG sources
Sylvain Baillet
Chapter 5: Statistical Inference in MEG Distributed Source Imaging
Dimitrios Pantazis, Richard M. Leahy
Chapter 6: Multi-Dipole Modelling in MEG
Riitta Salmelin
Chapter 7: Estimating Distributed Representations of Evoked Responses and Oscillatory Brain Activity
Ole Jensen and Christian Hesse
Chapter 8: Anatomically and Functionally Constrained Minimum-Norm Estimates
Matti S. Hämäläinen, Fa-Hsuan Lin, and John C. Mosher
Chapter 9: Non-invasive functional tomographic connectivity analysis with magnetoencephalography
Joachim Gross, Jan Kujala, Riitta Salmelin, Alfons Schnitzler
Chapter 10: Combining neuroimaging techniques: the future
Jean-Baptiste Poline, Line Garnero and Pierre-Jean Lahaye
Chapter 11: Somatosensory and motor function
Ryusuke Kakigi and Nina Forss
Chapter 12: The use of MEG in clinical settings
Jyrki P. Mäkelä
Chapter 13: From perception to linguistic analysis
Riitta Salmelin
Chapter 14: Using magnetoencephalography to elucidate the principles of deep brain stimulation
Morten L. Kringelbach, Peter C. Hansen, Alex L. Green, Tipu Z. Aziz
Index
