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The Connectome Visualization Utility: Software for Visualization of Human Brain Networks

Author

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  • Roan A LaPlante
  • Linda Douw
  • Wei Tang
  • Steven M Stufflebeam

Abstract

In analysis of the human connectome, the connectivity of the human brain is collected from multiple imaging modalities and analyzed using graph theoretical techniques. The dimensionality of human connectivity data is high, and making sense of the complex networks in connectomics requires sophisticated visualization and analysis software. The current availability of software packages to analyze the human connectome is limited. The Connectome Visualization Utility (CVU) is a new software package designed for the visualization and network analysis of human brain networks. CVU complements existing software packages by offering expanded interactive analysis and advanced visualization features, including the automated visualization of networks in three different complementary styles and features the special visualization of scalar graph theoretical properties and modular structure. By decoupling the process of network creation from network visualization and analysis, we ensure that CVU can visualize networks from any imaging modality. CVU offers a graphical user interface, interactive scripting, and represents data uses transparent neuroimaging and matrix-based file types rather than opaque application-specific file formats.

Suggested Citation

  • Roan A LaPlante & Linda Douw & Wei Tang & Steven M Stufflebeam, 2014. "The Connectome Visualization Utility: Software for Visualization of Human Brain Networks," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    • Handle: RePEc:plo:pone00:0113838
    DOI: 10.1371/journal.pone.0113838
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    1. Yong He & Jinhui Wang & Liang Wang & Zhang J Chen & Chaogan Yan & Hong Yang & Hehan Tang & Chaozhe Zhu & Qiyong Gong & Yufeng Zang & Alan C Evans, 2009. "Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans," PLOS ONE, Public Library of Science, vol. 4(4), pages 1-18, April.
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