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  Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain

Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., et al. (2010). Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain. PLoS One, 5(4): e10232. doi:10.1371/journal.pone.0010232.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-AF33-0 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-EFF5-E
Genre: Journal Article

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Eigenvector centrality.pdf (Postprint), 4MB
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 Creators:
Lohmann, Gabriele1, Author              
Margulies, Daniel S.2, Author              
Horstmann, Annette2, Author              
Pleger, Burkhard2, Author              
Lepsien, Jöran3, Author              
Goldhahn, Dirk1, Author              
Schlögl, Haiko4, Author              
Stumvoll, Michael4, Author
Villringer, Arno2, Author              
Turner, Robert1, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
4Department of Medicine, University of Leipzig, Germany, ou_persistent22              

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 Dates: 2010-04
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 512097
DOI: 10.1371/journal.pone.0010232
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Sciene
Pages: - Volume / Issue: 5 (4) Sequence Number: e10232 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: /journals/resource/1000000000277850