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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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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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 Rev. Type: -
 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: https://pure.mpg.de/cone/journals/resource/1000000000277850