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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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Böttger, Joachim1, Autor           
Schurade, Ralph2, Autor           
Jakobsen, Estrid3, Autor           
Schäfer, Alexander4, Autor           
Margulies, Daniel S.1, Autor           
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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Schlagwörter: Functional connectivity; Connectome; Visualization software; Neuroanatomy; Magnetic resonance imaging
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2013-12-112014-01-212014-03-04
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.3389/fnins.2014.00015
PMID: 24624052
PMC: PMC3941704
Anderer: eCollection 2014
 Art des Abschluß: -

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Titel: Frontiers in Neuroscience
  Andere : Front Neurosci
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 8 Artikelnummer: 15 Start- / Endseite: - Identifikator: ISSN: 1662-4548
ISSN: 1662-453X
CoNE: https://pure.mpg.de/cone/journals/resource/1662-4548