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  Analyzing effective connectivity with EEG and MEG

Kiebel, S. J., Garrido, M. I., & Friston, K. J. (2010). Analyzing effective connectivity with EEG and MEG. In Simultaneous EEG and fMRI (pp. 1-29). Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780195372731.003.0015.

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 Creators:
Kiebel, Stefan J.1, Author              
Garrido, M. I.2, Author
Friston, K. J.2, Author
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2External Organizations, ou_persistent22              

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Free keywords: electroencephalography; magnetoencephalography; bayesian approach; dynamic causal modeling
 Abstract: Developments in M/EEG analysis allows for models that are sophisticated enough to capture the full richness of the data. This chapter focuses on dynamic causal modeling (DCM) for M/EEG, which entails the inversion of informed spatiotemporal models of observed responses. The idea is to model condition-specific responses over channels and peristimulus time with the same model, where the differences among conditions are explained by changes in only a few key parameters. The face and predictive validity of DCM have been established, which makes it a potentially useful tool for group studies.

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Language(s): eng - English
 Dates: 2010-052010
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Simultaneous EEG and fMRI
Source Genre: Book
 Creator(s):
Ullsperger, Markus1, Author            
Debener, Stefan1, Author
Affiliations:
1 Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563            
Publ. Info: Oxford : Oxford University Press
Pages: XIII, 315 S. Volume / Issue: - Sequence Number: - Start / End Page: 1 - 29 Identifier: ISBN: 978-0-19-537273-1
DOI: 10.1093/acprof:oso/9780195372731.001.0001