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Dynamic Data Visualization with Weave and Brain Choropleths

This article introduces the neuroimaging community to the dynamic visualization workbench, Weave (https://www.oicweave.org/), and a set of enhancements to allow the visualization of brain maps. The enhancements comprise a set of brain choropleths and the ability to display these as stacked slices, a...

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Autores principales: Patterson, Dianne, Hicks, Thomas, Dufilie, Andrew, Grinstein, Georges, Plante, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587848/
https://www.ncbi.nlm.nih.gov/pubmed/26418012
http://dx.doi.org/10.1371/journal.pone.0139453
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author Patterson, Dianne
Hicks, Thomas
Dufilie, Andrew
Grinstein, Georges
Plante, Elena
author_facet Patterson, Dianne
Hicks, Thomas
Dufilie, Andrew
Grinstein, Georges
Plante, Elena
author_sort Patterson, Dianne
collection PubMed
description This article introduces the neuroimaging community to the dynamic visualization workbench, Weave (https://www.oicweave.org/), and a set of enhancements to allow the visualization of brain maps. The enhancements comprise a set of brain choropleths and the ability to display these as stacked slices, accessible with a slider. For the first time, this allows the neuroimaging community to take advantage of the advanced tools already available for exploring geographic data. Our brain choropleths are modeled after widely used geographic maps but this mashup of brain choropleths with extant visualization software fills an important neuroinformatic niche. To date, most neuroinformatic tools have provided online databases and atlases of the brain, but not good ways to display the related data (e.g., behavioral, genetic, medical, etc). The extension of the choropleth to brain maps allows us to leverage general-purpose visualization tools for concurrent exploration of brain images and related data. Related data can be represented as a variety of tables, charts and graphs that are dynamically linked to each other and to the brain choropleths. We demonstrate that the simplified region-based analyses that underlay choropleths can provide insights into neuroimaging data comparable to those achieved by using more conventional methods. In addition, the interactive interface facilitates additional insights by allowing the user to filter, compare, and drill down into the visual representations of the data. This enhanced data visualization capability is useful during the initial phases of data analysis and the resulting visualizations provide a compelling way to publish data as an online supplement to journal articles.
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spelling pubmed-45878482015-10-02 Dynamic Data Visualization with Weave and Brain Choropleths Patterson, Dianne Hicks, Thomas Dufilie, Andrew Grinstein, Georges Plante, Elena PLoS One Research Article This article introduces the neuroimaging community to the dynamic visualization workbench, Weave (https://www.oicweave.org/), and a set of enhancements to allow the visualization of brain maps. The enhancements comprise a set of brain choropleths and the ability to display these as stacked slices, accessible with a slider. For the first time, this allows the neuroimaging community to take advantage of the advanced tools already available for exploring geographic data. Our brain choropleths are modeled after widely used geographic maps but this mashup of brain choropleths with extant visualization software fills an important neuroinformatic niche. To date, most neuroinformatic tools have provided online databases and atlases of the brain, but not good ways to display the related data (e.g., behavioral, genetic, medical, etc). The extension of the choropleth to brain maps allows us to leverage general-purpose visualization tools for concurrent exploration of brain images and related data. Related data can be represented as a variety of tables, charts and graphs that are dynamically linked to each other and to the brain choropleths. We demonstrate that the simplified region-based analyses that underlay choropleths can provide insights into neuroimaging data comparable to those achieved by using more conventional methods. In addition, the interactive interface facilitates additional insights by allowing the user to filter, compare, and drill down into the visual representations of the data. This enhanced data visualization capability is useful during the initial phases of data analysis and the resulting visualizations provide a compelling way to publish data as an online supplement to journal articles. Public Library of Science 2015-09-29 /pmc/articles/PMC4587848/ /pubmed/26418012 http://dx.doi.org/10.1371/journal.pone.0139453 Text en © 2015 Patterson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Patterson, Dianne
Hicks, Thomas
Dufilie, Andrew
Grinstein, Georges
Plante, Elena
Dynamic Data Visualization with Weave and Brain Choropleths
title Dynamic Data Visualization with Weave and Brain Choropleths
title_full Dynamic Data Visualization with Weave and Brain Choropleths
title_fullStr Dynamic Data Visualization with Weave and Brain Choropleths
title_full_unstemmed Dynamic Data Visualization with Weave and Brain Choropleths
title_short Dynamic Data Visualization with Weave and Brain Choropleths
title_sort dynamic data visualization with weave and brain choropleths
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587848/
https://www.ncbi.nlm.nih.gov/pubmed/26418012
http://dx.doi.org/10.1371/journal.pone.0139453
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