Jump to ContentJump to Main Navigation
MEG: An Introduction to Methods$
Users without a subscription are not able to see the full content.

Peter Hansen, Morten Kringelbach, and Riitta Salmelin

Print publication date: 2010

Print ISBN-13: 9780195307238

Published to Oxford Scholarship Online: September 2010

DOI: 10.1093/acprof:oso/9780195307238.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 19 November 2019

The Dowser in the Fields: Searching for MEG Sources

The Dowser in the Fields: Searching for MEG Sources

(p.83) 5 The Dowser in the Fields: Searching for MEG Sources
MEG: An Introduction to Methods

Sylvain Baillet

Oxford University Press

This chapter reviews the statistical tools available for the analysis of distributed activation maps defined either on the 2D cortical surface or throughout the 3D brain volume. Statistical analysis of MEG data bears a great resemblance to the analysis of functional magnetic resonance imaging (fMRI) or positron emission tomography (PET) activation maps, therefore much of the methodology can be borrowed or adapted from the functional neuroimaging literature. In particular, the General Linear Modeling (GLM) approach, where the MEG data are first mapped into brain space, and then fitted to a univariate or multivariate model at each surface or volume element, is described. A desired contrast of the estimated parameters produces a statistical map, which is then thresholded for evidence of an experimental effect. The chapter also describes several approaches that can produce corrected thresholds and control for false positives: Bonferroni, Random Field Theory (RFT), permutation tests, and False Discovery error Rate (FDR).

Keywords:   statistical tools, statistical map, neuroimaging, statistical analysis, activation maps, General Linear Modeling

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .