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  Influence of the head model on EEG and MEG source connectivity analysis

Cho, J.-H., Vorwerk, J., Wolters, C. H., & Knösche, T. R. (2015). Influence of the head model on EEG and MEG source connectivity analysis. NeuroImage, 110, 60-77. doi:10.1016/j.neuroimage.2015.01.043.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-ABB6-E Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7664-8
Genre: Journal Article

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 Creators:
Cho, Jae-Hyun1, Author              
Vorwerk, Johannes2, Author
Wolters, Carsten H.2, Author
Knösche, Thomas R.1, Author              
Affiliations:
1Methods and Development Group MEG and EEG - Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205650              
2Institute for Biomagnetism and Biosignal Analysis, Münster University, Germany, ou_persistent22              

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Free keywords: EEG; MEG; Head modeling; Forward problem; Finite element model; Source reconstruction; Beamforming; Connectivity; Imaginary coherence; Generalized partial directed coherence
 Abstract: The results of brain connectivity analysis using reconstructed source time courses derived from EEG and MEG data depend on a number of algorithmic choices. While previous studies have investigated the influence of the choice of source estimation method or connectivity measure, the effects of the head modeling errors or simplifications have not been studied sufficiently. In the present simulation study, we investigated the influence of particular properties of the head model on the reconstructed source time courses as well as on source connectivity analysis in EEG and MEG. Therefore, we constructed a realistic head model and applied the finite element method to solve the EEG and MEG forward problem. We considered the distinction between white and gray matter, the distinction between compact and spongy bone, the inclusion of a cerebrospinal fluid (CSF) compartment, and the reduction to a simple 3-layer model comprising only skin, skull, and brain. Source time courses were reconstructed using a beamforming approach and the source connectivity was estimated by the imaginary coherence (ICoh) and the generalized partial directed coherence (GPDC). Our results show that in both EEG and MEG, neglecting the white and gray matter distinction or the CSF causes considerable errors in reconstructed source time courses and connectivity analysis, while the distinction between spongy and compact bone is just of minor relevance, provided that an adequate skull conductivity value is used. Large inverse and connectivity errors are found in the same regions that show large topography errors in the forward solution. Moreover, we demonstrate that the very conservative ICoh is relatively safe from the crosstalk effects caused by imperfect head models, as opposed to the GPDC.

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Language(s): eng - English
 Dates: 2015-01-232015-01-292015-04-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2015.01.043
PMID: 25638756
Other: Epub 2015
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 110 Sequence Number: - Start / End Page: 60 - 77 Identifier: ISSN: 1053-8119
CoNE: /journals/resource/954922650166