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

Lohmann, Gabriele; Margulies, Daniel S.; Horstmann, Annette; Pleger, Burkhard; Lepsien, Jöran; Villringer, Arno; Turner, Robert

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

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.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-AF2F-B Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-EFF8-8

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Urheber:
Lohmann, Gabriele¹, Autor
Margulies, Daniel S.², Autor
Horstmann, Annette², Autor
Pleger, Burkhard², Autor
Lepsien, Jöran³, Autor
Villringer, Arno², Autor
Turner, Robert¹, Autor

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