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Poster

"Eigenvector centrality mapping as a new model-free method for analyzing fMRI data"

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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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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Citation

Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Villringer, A., et al. (2010). "Eigenvector centrality mapping as a new model-free method for analyzing fMRI data". Poster presented at ISMRM Annual Meeting, Stockholm, Sweden.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-AF2F-B
Abstract
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