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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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Published in: | IEEE transactions on visualization and computer graphics 2014-03, Vol.20 (3), p.471-480 |
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container_title | IEEE transactions on visualization and computer graphics |
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creator | Bottger, Joachim Schafer, Alexander Lohmann, Gabriele Villringer, Arno Margulies, Daniel S. |
description | 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. |
doi_str_mv | 10.1109/TVCG.2013.114 |
format | article |
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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 |
title | Three-Dimensional Mean-Shift Edge Bundling for the Visualization of Functional Connectivity in the Brain |
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