MEG: An introduction to methods

Peter Hansen* (Editor), Morten Kringelbach, Riitta Salmelin

*Corresponding author for this work

Research output: Book/ReportAnthologyScientificpeer-review

205 Citations (Scopus)

Abstract

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, 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.

Original languageEnglish
PublisherOxford University Press
Number of pages448
ISBN (Electronic)9780199863990
ISBN (Print)9780195307238
DOIs
Publication statusPublished - 1 Sept 2010
MoE publication typeC2 Edited book, conference proceedings or special issue of a journal

Keywords

  • Beamformers
  • Data
  • Inverse problem
  • Magnetoencephalography
  • Meg experiments
  • Minimum norm estimates
  • Neuroimaging
  • Oscillatory background activity
  • Sensory processing
  • Spatial filters

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