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A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets
Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest pot...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993811/ https://www.ncbi.nlm.nih.gov/pubmed/27601990 http://dx.doi.org/10.3389/fninf.2016.00036 |
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author | Angulo, Diego A. Schneider, Cyril Oliver, James H. Charpak, Nathalie Hernandez, Jose T. |
author_facet | Angulo, Diego A. Schneider, Cyril Oliver, James H. Charpak, Nathalie Hernandez, Jose T. |
author_sort | Angulo, Diego A. |
collection | PubMed |
description | Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data. |
format | Online Article Text |
id | pubmed-4993811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49938112016-09-06 A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets Angulo, Diego A. Schneider, Cyril Oliver, James H. Charpak, Nathalie Hernandez, Jose T. Front Neuroinform Neuroscience Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data. Frontiers Media S.A. 2016-08-23 /pmc/articles/PMC4993811/ /pubmed/27601990 http://dx.doi.org/10.3389/fninf.2016.00036 Text en Copyright © 2016 Angulo, Schneider, Oliver, Charpak and Hernandez. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Angulo, Diego A. Schneider, Cyril Oliver, James H. Charpak, Nathalie Hernandez, Jose T. A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets |
title | A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets |
title_full | A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets |
title_fullStr | A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets |
title_full_unstemmed | A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets |
title_short | A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets |
title_sort | multi-facetted visual analytics tool for exploratory analysis of human brain and function datasets |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993811/ https://www.ncbi.nlm.nih.gov/pubmed/27601990 http://dx.doi.org/10.3389/fninf.2016.00036 |
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