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Journal Article

Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain

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Böttger,  Joachim
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schäfer,  Alexander
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Lohmann,  Gabriele
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Margulies,  Daniel S.
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Böttger, J., Schäfer, A., Lohmann, G., Villringer, A., & Margulies, D. S. (2014). Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain. IEEE Transactions on Visualization and Computer Graphics, 20(3), 471-480. doi:10.1109/TVCG.2013.114.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-4F6B-9
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.