首页|VisConnectome: An Independent and Graph-Theory Based Software for Visualizing the Human Brain Connectome
VisConnectome: An Independent and Graph-Theory Based Software for Visualizing the Human Brain Connectome
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NETL
NSTL
万方数据
维普
As a complex system, the topology of human's brain network can be analyzed by graph theory for the further study of brain's structural and functional mechanism. In order to construct and analyze the graph-based network efficiently and intuitively, it is necessary to develop flexible and independent visualization software. For this purpose, we developed an innovative software called VisConnectome. It runs on Windows system and does not rely on Matlab. It provides a friendly Graphical user interface (GUI) including the tool bar, the tool window, double slider, filter double slider, etc. It allows visualizing the brain network with the ball-and-stick geometric model, modifying its properties such as size and color, filtering nodes and connection as a simplification, blending with the brain surface as a context, etc. By experiments and comparison, we conclude that the VisConnectome is a flexible and independent visualization system with high speed and high quality.
Brain networkVisualization of brain connectomeDouble sliderBlending with brain surface
XU Pengfei、TIAN Ge、ZUO Ran、ZHU Ning、LUO Yanlin
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The College of Information Science and Technology, Beijing Normal University, Beijing 100875, China
The School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China
National key R&D program of ChinaNational Social Science Foundation of China
NETL
NSTL
万方数据
维普
