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

Lohmann, Gabriele; Margulies, Daniel S.; Horstmann, Annette; Pleger, Burkhard; Lepsien, Jöran; Goldhahn, Dirk; Schlögl, Haiko; Stumvoll, Michael; Villringer, Arno; Turner, Robert

doi:10.1371/journal.pone.0010232

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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;

/persons/resource/persons19840

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

/persons/resource/persons19734

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

/persons/resource/persons19926

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

/persons/resource/persons19811

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;

/persons/resource/persons20065

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

/persons/resource/persons20055

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

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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: https://hdl.handle.net/11858/00-001M-0000-0010-AF33-0

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