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  Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain

Böttger, J., Schäfer, A., Lohmann, G., Villringer, A., & Margulies, D. S. (2014). Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain. IEEE Transactions on Visualization and Computer Graphics, 20(3), 471-480. doi:10.1109/TVCG.2013.114.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-4F6B-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-8383-4
Genre: Journal Article

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 Creators:
Böttger, Joachim1, Author           
Schäfer, Alexander2, Author           
Lohmann, Gabriele3, Author           
Villringer, Arno2, Author           
Margulies, Daniel S.1, Author           
Affiliations:
1Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              

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 Abstract: Functional connectivity, a flourishing new area of research in human neuroscience, carries a substantial challenge for visualization: while the end-points of connectivity are known, the precise path is not. Although a large body of work already exists on the visualization of anatomical connectivity, the functional counterpart lacks similar methods. In order to optimize the clarity of whole-brain and complex connectivity patterns in 3D brain space, we develop mean-shift edge bundling, which reveals the multitude of connections as derived from correlations in brain activity of cortical regions.

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Language(s): eng - English
 Dates: 2013-08-132014-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TVCG.2013.114
PMID: 23959625
 Degree: -

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Title: IEEE Transactions on Visualization and Computer Graphics
Source Genre: Journal
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Publ. Info: New York, NY : IEEE Computer Society
Pages: - Volume / Issue: 20 (3) Sequence Number: - Start / End Page: 471 - 480 Identifier: ISSN: 1077-2626
CoNE: https://pure.mpg.de/cone/journals/resource/954925605807