BrainNetVis: Analysis and visualization of brain functional networks

Author

Tsiaras, Vassilis ; Andreou, Dimitris ; Tollis, Ioannis G.

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

2911

Lastpage

2914

Abstract

BrainNetVis is an application, written in Java, that displays and analyzes synchronization networks from brain signals. The program implements a number of network indices and visualization techniques. We demonstrate its use through a case study of left hand and foot motor imagery. The data sets were provided by the Berlin BCI group. Using this program we managed to find differences between the average left hand and foot synchronization networks by comparing them with the average idle state synchronization network.

Keywords

Java; brain-computer interfaces; electroencephalography; medical signal processing; neural nets; neurophysiology; synchronisation; user interfaces; Berlin BCI group; BrainNetVis; EEG; Java; average idle state synchronization network comparison; brain functional networks visualization; brain signals; foot motor imagery; left hand motor imagery; network indices; synchronization network analysis; Algorithms; Biomedical Engineering; Brain; Brain Mapping; Computers; Electroencephalography; Foot; Hand; Humans; Models, Statistical; Programming Languages; Signal Processing, Computer-Assisted; User-Computer Interface;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5334489

Filename

5334489