The Connectome Visualization Utility: software for visualization of human brain networks
| Autor: | Linda Douw, Steven M. Stufflebeam, Roan A. LaPlante, Wei Tang |
|---|---|
| Přispěvatelé: | Anatomy and neurosciences, NCA - Neuroinflamation, Harvard University--MIT Division of Health Sciences and Technology, Stufflebeam, Steven M. |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Connectomics
Computer and Information Sciences Computer science Science Models Neurological Bioinformatics Nervous System Computer Software 03 medical and health sciences Information visualization 0302 clinical medicine Data visualization Graph drawing Human–computer interaction Computer Graphics Connectome Humans Computer Simulation 030304 developmental biology Software visualization 0303 health sciences Brain Mapping Multidisciplinary business.industry Data Visualization Brain Biology and Life Sciences Human Connectome 3. Good health Visualization Neuroanatomy Biological data visualization Medicine Anatomy business 030217 neurology & neurosurgery Software Open Source Software Research Article Neuroscience |
| Zdroj: | PLoS ONE, Vol 9, Iss 12, p e113838 (2014) LaPlante, R A, Douw, L, Tang, W & Stufflebeam, S M 2014, ' The Connectome Visualization Utility: Software for Visualization of Human Brain Networks ', PLoS ONE, vol. 9, no. 12, e113838, pp. e113838 . https://doi.org/10.1371/journal.pone.0113838 PLoS ONE, 9(12):e113838. Public Library of Science Public Library of Science PLoS ONE |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0113838 |
| Popis: | 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. National Institutes of Health (U.S.) (Grant R01-NS069696) National Institutes of Health (U.S.) (Grant U01-MH093765) National Institutes of Health (U.S.) (Grant P41-RR14075) United States. Defense Advanced Research Projects Agency |
| Databáze: | OpenAIRE |
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