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  Source connectivity analysis with MEG and EEG

Schoffelen, J.-M., & Gross, J. (2009). Source connectivity analysis with MEG and EEG. Human Brain Mapping, 30, 1857-1865. doi: 10.1002/hbm.20745.

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SChoffelen_HBM_2009.pdf (Publisher version), 694KB
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SChoffelen_HBM_2009.pdf
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Schoffelen, Jan-Mathijs1, Author           
Gross, J., Author
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1Centre for Cognitive Neuroimaging (CCNi), Department of Psychology, University of Glasgow, Glasgow, United Kingdom, ou_persistent22              

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 Abstract: Interactions between functionally specialized brain regions are crucial for normal brain function. Magnetoencephalography (MEG) and electroencephalography (EEG) are techniques suited to capture these interactions, because they provide whole head measurements of brain activity in the millisecond range. More than one sensor picks up the activity of an underlying source. This field spread severely limits the utility of connectivity measures computed directly between sensor recordings. Consequentially, neuronal interactions should be studied on the level of the reconstructed sources. This article reviews several methods that have been applied to investigate interactions between brain regions in source space. We will mainly focus on the different measures used to quantify connectivity, and on the different strategies adopted to identify regions of interest. Despite various successful accounts of MEG and EEG source connectivity, caution with respect to the interpretation of the results is still warranted. This is due to the fact that effects of field spread can never be completely abolished in source space. However, in this very exciting and developing field of research this cautionary note should not discourage researchers from further investigation into the connectivity between neuronal sources.

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Language(s): eng - English
 Dates: 2009
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: BibTex Citekey: schoffelen2009source
DOI: 10.1002/hbm.20745
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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 30 Sequence Number: - Start / End Page: 1857 - 1865 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686