Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain

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 between them is not. Although a large body of work already exists on the visualization of anatomical...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2014-03, Vol.20 (3), p.471-480
Main Authors: Bottger, Joachim, Schafer, Alexander, Lohmann, Gabriele, Villringer, Arno, Margulies, Daniel S.
Format: Article
Language:English
Subjects:
Abstracts
Algorithms
Brain
Brain - anatomy & histology
Brain - physiology
Brain Mapping - methods
Bundling
Clarity
Computer Graphics
Correlation
Data visualization
Human
Humans
Image edge detection
Imaging, Three-Dimensional - methods
information visualization
Joints
Magnetic Resonance Imaging
Organizations
Principal component analysis
Three dimensional
Visualization
Visualization applications
visualization techniques and methodologies
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Summary: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 between them is not. Although a large body of work already exists on the visualization of anatomical connectivity, the functional counterpart lacks similar development. To optimize the clarity of whole-brain and complex connectivity patterns in three-dimensional brain space, we develop mean-shift edge bundling, which reveals the multitude of connections as derived from correlations in the brain activity of cortical regions.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2013.114