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Journal Article

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

MPS-Authors
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Lohmann,  Gabriele
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Margulies,  Daniel S.
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Horstmann,  Annette
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Pleger,  Burkhard
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Lepsien,  Jöran
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Goldhahn,  Dirk
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Turner,  Robert
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Fulltext (public)

Eigenvector centrality.pdf
(Postprint), 4MB

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-AF33-0
Abstract
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