Multigraph Visualization for Feature Classification of Brain Network Data

dc.contributor.authorWang, Jiachenen_US
dc.contributor.authorFang, Shiaofenen_US
dc.contributor.authorLi, Huangen_US
dc.contributor.authorGoñi, Joaquínen_US
dc.contributor.authorSaykin, Andrew J.en_US
dc.contributor.authorShen, Lien_US
dc.contributor.editorNatalia Andrienko and Michael Sedlmairen_US
dc.date.accessioned2016-06-09T09:32:12Z
dc.date.available2016-06-09T09:32:12Z
dc.date.issued2016en_US
dc.description.abstractA Multigraph is a set of graphs with a common set of nodes but different sets of edges. Multigraph visualization has not received much attention so far. In this paper, we introduce a multigraph application in brain network data analysis that has a strong need for multigraph visualization. In this application, multigraph is used to represent brain connectome networks of multiple human subjects. A volumetric data set is constructed from the matrix representation of the multigraph. A volume visualization tool is then developed to assist the user to interactively and iteratively detect network features that may contribute to certain neurological conditions. We apply this technique to a brain connectome dataset for feature detection in the classification of Alzheimer's Disease (AD) patients. Preliminary results show significant improvements when interactively selected features are used.en_US
dc.description.sectionheadersNetworksen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)en_US
dc.identifier.doi10.2312/eurova.20161126en_US
dc.identifier.isbn978-3-03868-016-1en_US
dc.identifier.issn-en_US
dc.identifier.pages61-65en_US
dc.identifier.urihttps://doi.org/10.2312/eurova.20161126en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Associationen_US
dc.subjectKeywordsen_US
dc.subjectgraph visualizationen_US
dc.subjectmultigraphen_US
dc.subjectvolume renderingen_US
dc.subjectbrain imagingen_US
dc.subjectfeature detection. Visualization [Humanen_US
dc.subjectcentered computing]en_US
dc.subjectVisualization application domainsen_US
dc.subjectVisual analyticsen_US
dc.titleMultigraph Visualization for Feature Classification of Brain Network Dataen_US
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