The Connectome Visualization Utility: Software for Visualization of Human Brain Networks
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LaPlante-2014-The connectome visua.pdf
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3.55 MB
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Author(s)
LaPlante, Roan A.
Douw, Linda
Tang, Wei
Stufflebeam, Steven M.
Date Issued
December 2014
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
LaPlante, Roan A., Linda Douw, Wei Tang, and Steven M. Stufflebeam. “The Connectome Visualization Utility: Software for Visualization of Human Brain Networks.” Edited by Daniele Marinazzo. PLoS ONE 9, no. 12 (December 1, 2014): e113838.
Version
Final published version
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1371/journal.pone.0113838
