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  Eigenvector centrality mapping is an analysis method robust against changes in respiration

Ivanov, D., Lohmann, G., Kabisch, S., Henseler, I., Schlögl, H., Heinke, W., et al. (2010). Eigenvector centrality mapping is an analysis method robust against changes in respiration. Poster presented at 16th Annual Meeting of the Organization for Human Brain Mapping, Barcelona, Spain.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-AF3F-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-EF50-D
Genre: Poster

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 Creators:
Ivanov, Dimo1, Author              
Lohmann, Gabriele1, Author              
Kabisch, Stefan2, Author              
Henseler, Ilona2, Author              
Schlögl, Haiko2, Author              
Heinke, Wolfgang, 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              

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Language(s): eng - English
 Dates: 2010
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 516661
Other: R5164
 Degree: -

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Title: 16th Annual Meeting of the Organization for Human Brain Mapping
Place of Event: Barcelona, Spain
Start-/End Date: 2010-06-06 - 2010-06-10

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