Pattern Visualization of Human Connectome Data

Guo, Yishi; Wang, Yang; Fang, Shiaofen; Chao, Hongyang; Saykin, Andrew; Shen, Li

Pattern Visualization of Human Connectome Data

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Date

2012

Authors

Guo, Yishi
Wang, Yang
Fang, Shiaofen
Chao, Hongyang
Saykin, Andrew
Shen, Li

Publisher

The Eurographics Association

Abstract

The human brain is a complex network with countless connected neurons, and can be described as a "connectome". Existing studies on analyzing human connectome data are primarily focused on characterizing the brain networks with a small number of easily computable measures that may be inadequate for revealing complex relationship between brain function and its structural substrate. To facilitate large-scale connectomic analysis, in this paper, we propose a powerful and flexible volume rendering scheme to effectively visualize and interactively explore thousands of network measures in the context of brain anatomy, and to aid pattern discovery.We demonstrate the effectiveness of the proposed scheme by applying it to a real connectome data set.

        @inproceedings{:10.2312/PE/EuroVisShort/EuroVisShort2012/078-083
,
booktitle = {EuroVis - Short Papers
},
editor = {Miriah Meyer and Tino Weinkaufs
},
title = {{Pattern Visualization of Human Connectome Data
}},
author = {Guo, Yishi and 
Wang, Yang and 
Fang, Shiaofen and 
Chao, Hongyang and 
Saykin, Andrew and 
Shen, Li
},
year = {2012
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-91-3
},
DOI = {/10.2312/PE/EuroVisShort/EuroVisShort2012/078-083
}
}