VisualNeuro: A Hypothesis Formation and Reasoning Application for Multi‐Variate Brain Cohort Study Data

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dc.contributor.authorJönsson, Danielen_US
dc.contributor.authorBergström, Albinen_US
dc.contributor.authorForsell, Camillaen_US
dc.contributor.authorSimon, Rozalynen_US
dc.contributor.authorEngström, Mariaen_US
dc.contributor.authorWalter, Susannaen_US
dc.contributor.authorYnnerman, Andersen_US
dc.contributor.authorHotz, Ingriden_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-10-06T16:54:03Z
dc.date.available2020-10-06T16:54:03Z
dc.date.issued2020
dc.description.abstractWe present an application, and its development process, for interactive visual analysis of brain imaging data and clinical measurements. The application targets neuroscientists interested in understanding the correlations between active brain regions and physiological or psychological factors. The application has been developed in a participatory design process and has subsequently been released as the free software ‘VisualNeuro’. From initial observations of the neuroscientists' workflow, we concluded that while existing tools provide powerful analysis options, they lack effective interactive exploration requiring the use of many tools side by side. Consequently, our application has been designed to simplify the workflow combining statistical analysis with interactive visual exploration. The resulting environment comprises parallel coordinates for effective overview and selection, Welch's t‐test to filter out brain regions with statistically significant differences and multiple visualizations for comparison between brain regions and clinical parameters. These exploration concepts enable neuroscientists to interactively explore the complex bidirectional interplay between clinical and brain measurements and easily compare different patient groups. A qualitative user study has been performed with three neuroscientists from different domains. The study shows that the developed environment supports simultaneous analysis of more parameters, provides rapid pathways to insights and is an effective tool for hypothesis formation.en_US
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14045
dc.identifier.issn1467-8659
dc.identifier.pages392-407
dc.identifier.urihttps://doi.org/10.1111/cgf.14045
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14045
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectmedical imaging
dc.subjectscientific visualization
dc.subjectvisual analytics
dc.titleVisualNeuro: A Hypothesis Formation and Reasoning Application for Multi‐Variate Brain Cohort Study Dataen_US
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