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  Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches

Belardinelli, P., Ortiz, E., Barnes, G., Noppeney, U., & Preissl, H. (2012). Source Reconstruction Accuracy of MEG and EEG Bayesian Inversion Approaches. PLoS One, 7(12), 1-16. doi:10.1371/journal.pone.0051985.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-843A-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-10EE-D
Genre: Journal Article

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Belardinelli, P, Author
Ortiz, E, Author
Barnes, G, Author
Noppeney, U1, 2, Author              
Preissl, H, Author              
Affiliations:
1Research Group Cognitive Neuroimaging, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497804              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Electro- and magnetoencephalography allow for non-invasive investigation of human brain activation and corresponding networks with high temporal resolution. Still, no correct network detection is possible without reliable source localization. In this paper, we examine four different source localization schemes under a common Variational Bayesian framework. A Bayesian approach to the Minimum Norm Model (MNM), an Empirical Bayesian Beamformer (EBB) and two iterative Bayesian schemes (Automatic Relevance Determination (ARD) and Greedy Search (GS)) are quantitatively compared. While EBB and MNM each use a single empirical prior, ARD and GS employ a library of anatomical priors that define possible source configurations. The localization performance was investigated as a function of (i) the number of sources (one vs. two vs. three), (ii) the signal to noise ratio (SNR; 5 levels) and (iii) the temporal correlation of source time courses (for the cases of two or three sources). We also tested whether the use of additional bilateral priors specifying source covariance for ARD and GS algorithms improved performance. Our results show that MNM proves effective only with single source configurations. EBB shows a spatial accuracy of few millimeters with high SNRs and low correlation between sources. In contrast, ARD and GS are more robust to noise and less affected by temporal correlations between sources. However, the spatial accuracy of ARD and GS is generally limited to the order of one centimeter. We found that the use of correlated covariance priors made no difference to ARD/GS performance.

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 Dates: 2012-12
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1371/journal.pone.0051985
eDoc: e51985
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 7 (12) Sequence Number: - Start / End Page: 1 - 16 Identifier: ISSN: 1932-6203
CoNE: /journals/resource/1000000000277850