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

Eleni Christodoulou | Zendy; Vangelis Sakkalis | Zendy; Vassilis Tsiaras | Zendy; Ioannis G. Tollis | Zendy

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

Author(s) -

Eleni Christodoulou,

Vangelis Sakkalis,

Vassilis Tsiaras,

Ioannis G. Tollis

Publication year - 2011

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2011/747290

Subject(s) - computer science , interconnectivity , visualization , field (mathematics) , graph drawing , graph , data mining , data science , complex network , machine learning , human–computer interaction , information retrieval , artificial intelligence , theoretical computer science , world wide web , mathematics , pure mathematics

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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