Bayesian fusion and multimodal DCM for EEG and fMRI

Bayesian fusion and multimodal DCM for EEG and fMRI

This paper asks whether integrating multimodal EEG and fMRI data offers a better characterisation of functional brain architectures than either modality alone. This evaluation rests upon a dynamic causal model that generates both EEG and fMRI data from the same neuronal dynamics. We introduce the us...

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Bibliographic Details
Main Authors: Huilin Wei, Amirhossein Jafarian, Peter Zeidman, Vladimir Litvak, Adeel Razi, Dewen Hu, Karl J. Friston
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:NeuroImage
Subjects:
Multimodal data
Bayesian belief updating
Dynamic causal modelling
Canonical microcircuit neural mass model
Information gain
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920300823

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http://www.sciencedirect.com/science/article/pii/S1053811920300823

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