Title
Assessing the Relevance of fMRI-Based Prior in the EEG Inverse Problem: A Bayesian Model Comparison Approach
Abstract
Characterizing the cortical activity from electro- and magneto-encephalography (EEG/MEG) data requires solving an ill-posed inverse problem that does not admit a unique solution. As a consequence, the use of functional neuroimaging, for instance, functional Magnetic Resonance Imaging (fMRI), constitutes an appealing way of constraining the solution. However, the match between bioelectric and metabolic activities is desirable but not assured. Therefore, the introduction of spatial priors derived from other functional modalities in the EEG/MEG inverse problem should be considered with caution. In this paper, we propose a Bayesian characterization of the relevance of fMRI-derived prior information regarding the EEG/MEG data. This is done by quantifying the adequacy of this prior to the data, compared with that obtained using an noninformative prior instead. This quantitative comparison, using the so-called Bayes factor, allows us to decide whether the informative prior should (or not) be included in the inverse solution. We validate our approach using extensive simulations, where fMRI-derived priors are built as perturbed versions of the simulated EEG sources. Moreover, we show how this inference framework can be generalized to optimize the way we should incorporate the informative prior.
Year
DOI
Venue
2005
10.1109/TSP.2005.853220
IEEE Transactions on Signal Processing
Keywords
DocType
Volume
functional neuroimaging,fmri-derived prior information,eeg inverse problem,simulated eeg source,functional magnetic resonance imaging,meg data,fmri-derived prior,ill-posed inverse problem,functional modality,spatial prior,bayesian model comparison approach,meg inverse problem,inverse problems,inverse problem,bayes factor,electroencephalography,magnetoencephalography,neurophysiology
Journal
53
Issue
ISSN
Citations 
9
1053-587X
16
PageRank 
References 
Authors
1.84
6
9
Name
Order
Citations
PageRank
J DAUNIZEAU134918.58
C. Grova2927.44
J. Mattout31029.59
G. Marrelec4335.32
D. Clonda5161.84
Bernard Goulard6645.51
M. Pelegrini-Issac7385.81
J.-M. Lina81218.91
H. Benali9161.84