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BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks

This paper presents BrainNetVis, a tool which serves brain network modelling and visualization, by providing both quantitative and qualitative network measures of brain interconnectivity. It emphasizes the needs that led to the creation of this tool by presenting similar works in the field and by de...

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Detalles Bibliográficos
Autores principales: Christodoulou, Eleni G., Sakkalis, Vangelis, Tsiaras, Vassilis, Tollis, Ioannis G.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065033/
https://www.ncbi.nlm.nih.gov/pubmed/21461404
http://dx.doi.org/10.1155/2011/747290
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author Christodoulou, Eleni G.
Sakkalis, Vangelis
Tsiaras, Vassilis
Tollis, Ioannis G.
author_facet Christodoulou, Eleni G.
Sakkalis, Vangelis
Tsiaras, Vassilis
Tollis, Ioannis G.
author_sort Christodoulou, Eleni G.
collection PubMed
description This paper presents BrainNetVis, a tool which serves brain network modelling and visualization, by providing both quantitative and qualitative network measures of brain interconnectivity. It emphasizes the needs that led to the creation of this tool by presenting similar works in the field and by describing how our tool contributes to the existing scenery. It also describes the methods used for the calculation of the graph metrics (global network metrics and vertex metrics), which carry the brain network information. To make the methods clear and understandable, we use an exemplar dataset throughout the paper, on which the calculations and the visualizations are performed. This dataset consists of an alcoholic and a control group of subjects.
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spelling pubmed-30650332011-03-31 BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks Christodoulou, Eleni G. Sakkalis, Vangelis Tsiaras, Vassilis Tollis, Ioannis G. Comput Intell Neurosci Research Article This paper presents BrainNetVis, a tool which serves brain network modelling and visualization, by providing both quantitative and qualitative network measures of brain interconnectivity. It emphasizes the needs that led to the creation of this tool by presenting similar works in the field and by describing how our tool contributes to the existing scenery. It also describes the methods used for the calculation of the graph metrics (global network metrics and vertex metrics), which carry the brain network information. To make the methods clear and understandable, we use an exemplar dataset throughout the paper, on which the calculations and the visualizations are performed. This dataset consists of an alcoholic and a control group of subjects. Hindawi Publishing Corporation 2011 2011-03-14 /pmc/articles/PMC3065033/ /pubmed/21461404 http://dx.doi.org/10.1155/2011/747290 Text en Copyright © 2011 Eleni G. Christodoulou et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Christodoulou, Eleni G.
Sakkalis, Vangelis
Tsiaras, Vassilis
Tollis, Ioannis G.
BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks
title BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks
title_full BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks
title_fullStr BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks
title_full_unstemmed BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks
title_short BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks
title_sort brainnetvis: an open-access tool to effectively quantify and visualize brain networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065033/
https://www.ncbi.nlm.nih.gov/pubmed/21461404
http://dx.doi.org/10.1155/2011/747290
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