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NeuroCave: A web-based immersive visualization platform for exploring connectome datasets
We introduce NeuroCave, a novel immersive visualization system that facilitates the visual inspection of structural and functional connectome datasets. The representation of the human connectome as a graph enables neuroscientists to apply network-theoretic approaches in order to explore its complex...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145855/ https://www.ncbi.nlm.nih.gov/pubmed/30294703 http://dx.doi.org/10.1162/netn_a_00044 |
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author | Keiriz, Johnson J. G. Zhan, Liang Ajilore, Olusola Leow, Alex D. Forbes, Angus G. |
author_facet | Keiriz, Johnson J. G. Zhan, Liang Ajilore, Olusola Leow, Alex D. Forbes, Angus G. |
author_sort | Keiriz, Johnson J. G. |
collection | PubMed |
description | We introduce NeuroCave, a novel immersive visualization system that facilitates the visual inspection of structural and functional connectome datasets. The representation of the human connectome as a graph enables neuroscientists to apply network-theoretic approaches in order to explore its complex characteristics. With NeuroCave, brain researchers can interact with the connectome—either in a standard desktop environment or while wearing portable virtual reality headsets (such as Oculus Rift, Samsung Gear, or Google Daydream VR platforms)—in any coordinate system or topological space, as well as cluster brain regions into different modules on-demand. Furthermore, a default side-by-side layout enables simultaneous, synchronized manipulation in 3D, utilizing modern GPU hardware architecture, and facilitates comparison tasks across different subjects or diagnostic groups or longitudinally within the same subject. Visual clutter is mitigated using a state-of-the-art edge bundling technique and through an interactive layout strategy, while modular structure is optimally positioned in 3D exploiting mathematical properties of platonic solids. NeuroCave provides new functionality to support a range of analysis tasks not available in other visualization software platforms. |
format | Online Article Text |
id | pubmed-6145855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61458552018-10-05 NeuroCave: A web-based immersive visualization platform for exploring connectome datasets Keiriz, Johnson J. G. Zhan, Liang Ajilore, Olusola Leow, Alex D. Forbes, Angus G. Netw Neurosci Research We introduce NeuroCave, a novel immersive visualization system that facilitates the visual inspection of structural and functional connectome datasets. The representation of the human connectome as a graph enables neuroscientists to apply network-theoretic approaches in order to explore its complex characteristics. With NeuroCave, brain researchers can interact with the connectome—either in a standard desktop environment or while wearing portable virtual reality headsets (such as Oculus Rift, Samsung Gear, or Google Daydream VR platforms)—in any coordinate system or topological space, as well as cluster brain regions into different modules on-demand. Furthermore, a default side-by-side layout enables simultaneous, synchronized manipulation in 3D, utilizing modern GPU hardware architecture, and facilitates comparison tasks across different subjects or diagnostic groups or longitudinally within the same subject. Visual clutter is mitigated using a state-of-the-art edge bundling technique and through an interactive layout strategy, while modular structure is optimally positioned in 3D exploiting mathematical properties of platonic solids. NeuroCave provides new functionality to support a range of analysis tasks not available in other visualization software platforms. MIT Press 2018-09-01 /pmc/articles/PMC6145855/ /pubmed/30294703 http://dx.doi.org/10.1162/netn_a_00044 Text en © 2018 Massachusetts Institute of Technology 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 work is properly cited. |
spellingShingle | Research Keiriz, Johnson J. G. Zhan, Liang Ajilore, Olusola Leow, Alex D. Forbes, Angus G. NeuroCave: A web-based immersive visualization platform for exploring connectome datasets |
title | NeuroCave: A web-based immersive visualization platform for exploring connectome datasets |
title_full | NeuroCave: A web-based immersive visualization platform for exploring connectome datasets |
title_fullStr | NeuroCave: A web-based immersive visualization platform for exploring connectome datasets |
title_full_unstemmed | NeuroCave: A web-based immersive visualization platform for exploring connectome datasets |
title_short | NeuroCave: A web-based immersive visualization platform for exploring connectome datasets |
title_sort | neurocave: a web-based immersive visualization platform for exploring connectome datasets |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145855/ https://www.ncbi.nlm.nih.gov/pubmed/30294703 http://dx.doi.org/10.1162/netn_a_00044 |
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