title: BrainNetVis: analysis and visualization of brain functional networks.
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.
authors: Institute of Computer Science, Foundation for Research and Technology, Heraklion 71110, Greece. tsiaras@ics.forth.gr
authors: Vassilis
authors: V
authors: Tsiaras
authors: Dimitris
authors: D
authors: Andreou
authors: Ioannis G
authors: IG
authors: Tollis
mesh_terms: D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods*; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods*; D003201:Computers; D004569:Electroencephalography / Q000379:methods*; D005528:Foot / Q000473:pathology; D006225:Hand / Q000473:pathology; D006801:Humans; D015233:Models, Statistical; D011381:Programming Languages; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface