Authors:
Michael de Ridder
1
;
Karsten Klein
2
and
Jinman Kim
1
Affiliations:
1
School of IT and The University of Sydney, Australia
;
2
School of IT and Monash University, Australia
Keyword(s):
Visual Analysis, Resting State Networks, Graph Layout, Interactive Visualization.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Biomedical Visualization and Applications
;
Computer Vision, Visualization and Computer Graphics
;
Graph Visualization
;
Spatial Data Visualization
;
Visual Data Analysis and Knowledge Discovery
;
Visual Representation and Interaction
;
Volume Visualization
Abstract:
We present CereVA, a web-based interface for the visual analysis of brain activity data. CereVA combines 2D and 3D visualizations and allows the user to interactively explore and compare brain activity data sets. The web-based interface combines several linked graphical representations of the network data, allowing for tight integration of different visualizations. The data is presented in the anatomical context within a 3D volume rendering, by node-link visualizations of connectivity networks, and by a matrix view of the data. In addition, our approach provides graph-theoretical analysis of the connectivity networks. Our solution supports several analysis tasks, including the comparison of connectivity networks, the analysis of correlation patterns, and the
aggregation of networks, e.g. over a population.