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  Visualizing the human connectome

Margulies, D. S., Böttger, J., Watanabe, A., & Gorgolewski, K. J. (2013). Visualizing the human connectome. NeuroImage, 80, 445-461. doi:10.1016/j.neuroimage.2013.04.111.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-1C26-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-9EAA-C
Genre: Journal Article

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VisualizingHumanConnectome.pdf (Publisher version), 5MB
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 Creators:
Margulies, Daniel S.1, Author              
Böttger, Joachim1, Author              
Watanabe, Aimi1, Author              
Gorgolewski, Krzysztof J.1, Author              
Affiliations:
1Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_1356546              

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 Abstract: Innovations in data visualization punctuate the landmark advances in human connectome research since its beginnings. From tensor glyphs for diffusion-weighted imaging, to advanced rendering of anatomical tracts, to more recent graph-based representations of functional connectivity data, many of the ways we have come to understand the human connectome are through the intuitive insight these visualizations enable. Nonetheless, several unresolved problems persist. For example, probabilistic tractography lacks the visual appeal of its deterministic equivalent, multimodal representations require extreme levels of data reduction, and rendering the full connectome within an anatomical space makes the contents cluttered and unreadable. In part, these challenges require compromises between several tensions that determine connectome visualization practice, such as prioritizing anatomic or connectomic information, aesthetic appeal or information content, and thoroughness or readability. To illustrate the ongoing negotiation between these priorities, we provide an overview of various visualization methods that have evolved for anatomical and functional connectivity data. We then describe interactive visualization tools currently available for use in research, and we conclude with concerns and developments in the presentation of connectivity results.

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Language(s): eng - English
 Dates: 2013-04-262013-05-062013-10-15
 Publication Status: Published in print
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 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2013.04.111
PMID: 23660027
Other: Epub 2013
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Title: NeuroImage
Source Genre: Journal
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Pages: - Volume / Issue: 80 Sequence Number: - Start / End Page: 445 - 461 Identifier: ISSN: 1053-8119
CoNE: /journals/resource/954922650166