VisConnectome: an independent and graph-theory based software for visualizing the human brain connectome.
10.7507/1001-5515.201803080
- Author:
Yifan WANG
1
;
Li ZHU
1
;
Zerui HE
1
;
Weihua YANG
1
;
Ge TIAN
1
;
Jiali SHEN
1
;
Yanlin LUO
2
Author Information
1. School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P.R.China.
2. School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P.R.China.luoyl@bnu.edu.cn.
- Publication Type:Journal Article
- Keywords:
blending with brain surface;
brian network;
double slider filter;
graph theory;
region imaging;
visualization of brain connectome
- MeSH:
Brain;
physiology;
Connectome;
Humans;
Software
- From:
Journal of Biomedical Engineering
2019;36(5):810-817
- CountryChina
- Language:Chinese
-
Abstract:
As a complex system, the topology of human's brain network has an important effect on further study of brain's structural and functional mechanism. Graph theory, a kind of sophisticated analytic strategies, is widely used for analyzing complex brain networks effectively and comparing difference of topological structure alteration in normal development and pathological condition. For the purpose of using this analysis methodology efficiently, it is necessary to develop graph-based visualization software. Thus, we developed VisConnectome, which displays analysis results of the brain network friendly and intuitively. It provides an original graphical user interface (GUI) including the tool window, tool bar and innovative double slider filter, brain region bar, runs in any Windows operating system and doesn't rely on any platform such as Matlab. When importing the user-defined script file that initializes the brain network, VisConnectome abstracts the brain network to the ball-and-stick model and render it. VisConnectome allows a series of visual operations, such as identifying nodes and connection, modifying properties of nodes and connection such as color and size with the color palette and size double slider, imaging the brain regions, filtering the brain network according to its size property in a specific domain as simplification and blending with the brain surface as a context of the brain network. Through experiment and analysis, we conclude that VisConnectome is an effective visualization software with high speed and quality, which helps researchers to visualize and compare the structural and functional brain networks flexibly.
