The Community for Technology Leaders
Green Image
ISSN: 1077-2626
Daniel S. Margulies , Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig
Arno Villringer , Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig
Gabriele Lohmann , Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig
Alexander Schafer , Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig
Joachim Bottger , Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig
ABSTRACT
Functional connectivity, a flourishing new area of research in human neuroscience, carries a substantial challenge for visualization: while the end-points of connectivity are known, the precise path is not. Although a large body of work already exists on the visualization of anatomical connectivity, the functional counterpart lacks similar methods. In order to optimize the clarity of whole-brain and complex connectivity patterns in 3D brain space, we develop mean-shift edge bundling, which reveals the multitude of connections as derived from correlations in brain activity of cortical regions.
INDEX TERMS
Data visualization, Correlation, Brain, Image edge detection, Principal component analysis, Organizations, Abstracts, Information visualization, Applications
CITATION
Daniel S. Margulies, Arno Villringer, Gabriele Lohmann, Alexander Schafer, Joachim Bottger, "Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain", IEEE Transactions on Visualization & Computer Graphics, vol. , no. , pp. 0, 5555, doi:10.1109/TVCG.2013.114
193 ms
(Ver 3.1 (10032016))