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Simultaneous EEG and fMRIRecording, Analysis, and Application$
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Markus Ullsperger and Stefan Debener

Print publication date: 2010

Print ISBN-13: 9780195372731

Published to Oxford Scholarship Online: May 2010

DOI: 10.1093/acprof:oso/9780195372731.001.0001

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Analyzing Effective Connectivity with EEG and MEG

Analyzing Effective Connectivity with EEG and MEG

Chapter:
(p.235) 3.8 Analyzing Effective Connectivity with EEG and MEG
Source:
Simultaneous EEG and fMRI
Author(s):

Stefan J. Kiebel

Marta I. Garrido

Karl J. Friston

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195372731.003.0015

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.

Keywords:   electroencephalography, magnetoencephalography, bayesian approach, dynamic causal modeling

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