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  Differences Between MEG and High-Density EEG Source Localizations Using a Distributed Source Model in Comparison to fMRI

Klamer, S., Elshahabi, A., Lerche, H., Braun, C., Erb, M., Scheffler, K., et al. (2015). Differences Between MEG and High-Density EEG Source Localizations Using a Distributed Source Model in Comparison to fMRI. Brain Topography, 28(1), 87-94. doi:10.1007/s10548-014-0405-3.

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Klamer, S, Author
Elshahabi, A, Author
Lerche, H, Author
Braun, C, Author
Erb, M1, Author           
Scheffler, K1, Author           
Focke, NK, Author
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1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: Electroencephalography (EEG) and magnetoencephalography (MEG) are widely used to localize brain activity and their spatial resolutions have been compared in several publications. While most clinical studies demonstrated higher accuracy of MEG source localization, simulation studies suggested a more accurate EEG than MEG localization for the same number of channels. However, studies comparing real MEG and EEG data with equivalent number of channels are scarce. We investigated 14 right-handed healthy subjects performing a motor task in MEG, high-density-(hd-) EEG and fMRI as well as a somatosensory task in MEG and hd-EEG and compared source analysis results of the evoked brain activity between modalities with different head models. Using individual head models, hd-EEG localized significantly closer to the anatomical reference point obtained by fMRI than MEG. Source analysis results were least accurate for hd-EEG based on a standard head model. Further, hd-EEG and MEG localized more medially than fMRI. Localization accuracy of electric source imaging is dependent on the head model used with more accurate results obtained with individual head models. If this is taken into account, EEG localization can be more accurate than MEG localization for the same number of channels.

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 Dates: 2015-01
 Publication Status: Issued
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 Identifiers: DOI: 10.1007/s10548-014-0405-3
BibTex Citekey: KlamerELBESF2014
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Title: Brain Topography
Source Genre: Journal
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Pages: - Volume / Issue: 28 (1) Sequence Number: - Start / End Page: 87 - 94 Identifier: -