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  Connexel visualization: A software implementation of glyphs and edge-bundling for dense connectivity data using brainGL

Böttger, J., Schurade, R., Jakobsen, E., Schäfer, A., & Margulies, D. S. (2014). Connexel visualization: A software implementation of glyphs and edge-bundling for dense connectivity data using brainGL. Frontiers in Neuroscience, 8: 15. doi:10.3389/fnins.2014.00015.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0015-1136-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-1510-3
Genre: Journal Article

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 Creators:
Böttger, Joachim1, Author              
Schurade, Ralph2, Author              
Jakobsen, Estrid3, Author              
Schäfer, Alexander4, 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              
2Methods and Development Group MEG and EEG - Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205650              
3Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
4Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Free keywords: Functional connectivity; Connectome; Visualization software; Neuroanatomy; Magnetic resonance imaging
 Abstract: The visualization of brain connectivity becomes progressively more challenging as analytic and computational advances begin to facilitate connexel-wise analyses, which include all connections between pairs of voxels. Drawing full connectivity graphs can result in depictions that, rather than illustrating connectivity patterns in more detail, obfuscate patterns owing to the data density. In an effort to expand the possibilities for visualization, we describe two approaches for presenting connexels: edge-bundling, which clarifies structure by grouping geometrically similar connections; and, connectivity glyphs, which depict a condensed connectivity map at each point on the cortical surface. These approaches can be applied in the native brain space, facilitating interpretation of the relation of connexels to brain anatomy. The tools have been implemented as part of brainGL, an extensive open-source software for the interactive exploration of structural and functional brain data.

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Language(s): eng - English
 Dates: 2013-12-112014-01-212014-03-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fnins.2014.00015
PMID: 24624052
PMC: PMC3941704
Other: eCollection 2014
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Title: Frontiers in Neuroscience
  Other : Front Neurosci
Source Genre: Journal
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Pages: - Volume / Issue: 8 Sequence Number: 15 Start / End Page: - Identifier: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: /journals/resource/1662-4548