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A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Science & Engineering. (Scientific Visualization)ORCID iD: 000-0002-5220-633X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2019 (English)In: Eurographics Workshop on Visual Computing for Biology and Medicine, 2019Conference paper, Published paper (Refereed)
Abstract [en]

We present an interactive visual environment for linked analysis of brain imaging and clinical measurements. The environment is developed in an iterative participatory design process involving neuroscientists investigating the causes of brain-related complex diseases. The hypotheses formation process about correlations between active brain regions and physiological or psychological factors in studies with hundreds of subjects is a central part of the investigation. Observing the reasoning patterns during hypotheses formation, we concluded that while existing tools provide powerful analysis options, they lack effective interactive exploration, thus limiting the scientific scope and preventing extraction of knowledge from available data.Based on these observations, we designed methods that support neuroscientists by integrating their existing statistical analysis of multivariate subject data with interactive visual explorationto enable them to better understand differences between patient groups and the complex bidirectional interplay between clinical measurement and the brain. These exploration concepts enable neuroscientists, for the first time during their investigations, to interactively move between and reason about questions such as ‘which clinical measurements are correlated with a specific brain region?’ or ‘are there differences in brain activity between depressed young and old subjects?’. The environment uses parallel coordinates for effective overview and selection of subject groups, Welch's t-test to filter out brain regions with statistically significant differences, and multiple visualizations of Pearson correlations between brain regions and clinical parameters to facilitate correlation analysis. A qualitative user study was 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 support tool for hypothesis formation.

Place, publisher, year, edition, pages
2019.
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-160856DOI: 10.2312/vcbm.20191232ISBN: 978-3-03868-081-9 (electronic)OAI: oai:DiVA.org:liu-160856DiVA, id: diva2:1360048
Conference
Eurographics Workshop on Visual Computing for Biology and Medicine
Projects
Seeing Organ Function
Funder
Knut and Alice Wallenberg Foundation, 2013-0076Swedish Research Council, 2015-05462ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish e‐Science Research CenterAvailable from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-29

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Jönsson, DanielBergström, AlbinForsell, CamillaSimon, RozalynEngström, MariaYnnerman, AndersHotz, Ingrid
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Media and Information TechnologyCenter for Medical Image Science and Visualization (CMIV)Faculty of Science & EngineeringDivision of Radiological SciencesFaculty of Medicine and Health Sciences
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