Connexel visualization: a software implementation of glyphs and edge-bundling for dense connectivity data using brainGL
作者： Joachim Böttger , Ralph Schurade , Estrid Jakobsen , Alexander Schaefer , Daniel S. Margulies
关键词: Software visualization 、 Visualization 、 Point (geometry) 、 Relation (database) 、 Computer science 、 Structure (mathematical logic) 、 Voxel 、 Connectome 、 Data mining 、 Software 、 Theoretical computer science
摘要: The visualization of brain connectivity becomes progressively more challenging as analytic and computational advances begin to facilitate connexel-wise analyses, which include all connections between pairs voxels. Drawing full graphs can result in depictions that, rather than illustrating patterns detail, obfuscate owing the data density. In an effort expand possibilities for visualization, we describe two approaches presenting connexels: edge-bundling, clarifies structure by grouping geometrically similar connections; and, glyphs, depict a condensed map at each point on cortical surface. These be applied native space, facilitating interpretation relation connexels anatomy. tools have been implemented part brainGL, extensive open-source software interactive exploration structural functional data.
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McGonigle John, Majid Mirmehdi, None, Visualising functional connectivity in fMRI using hierarchical edge bundles ,(2011)
P.J. Basser, J. Mattiello, D. LeBihan, MR diffusion tensor spectroscopy and imaging. Biophysical Journal. ,vol. 66, pp. 259- 267 ,(1994) , 10.1016/S0006-3495(94)80775-1
Boris C. Bernhardt, Olga M. Klimecki, Susanne Leiberg, Tania Singer, Structural Covariance Networks of the Dorsal Anterior Insula Predict Females' Individual Differences in Empathic Responding Cerebral Cortex. ,vol. 24, pp. 2189- 2198 ,(2014) , 10.1093/CERCOR/BHT072
Thomas Nichols, Satoru Hayasaka, Controlling the familywise error rate in functional neuroimaging: a comparative review: Statistical Methods in Medical Research. ,vol. 12, pp. 419- 446 ,(2003) , 10.1191/0962280203SM341RA
Emden R. Gansner, Yifan Hu, Stephen North, Carlos Scheidegger, Multilevel agglomerative edge bundling for visualizing large graphs ieee pacific visualization symposium. pp. 187- 194 ,(2011) , 10.1109/PACIFICVIS.2011.5742389
Andrei Irimia, Micah C. Chambers, Carinna M. Torgerson, John D. Van Horn, Circular representation of human cortical networks for subject and population-level connectomic visualization NeuroImage. ,vol. 60, pp. 1340- 1351 ,(2012) , 10.1016/J.NEUROIMAGE.2012.01.107
Matthew J. Brookes, Joanne R. Hale, Johanna M. Zumer, Claire M. Stevenson, Susan T. Francis, Gareth R. Barnes, Julia P. Owen, Peter G. Morris, Srikantan S. Nagarajan, Measuring functional connectivity using MEG: methodology and comparison with fcMRI. NeuroImage. ,vol. 56, pp. 1082- 1104 ,(2011) , 10.1016/J.NEUROIMAGE.2011.02.054
Anders Eklund, Ola Friman, Mats Andersson, Hans Knutsson, A GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data 2011 18th IEEE International Conference on Image Processing. pp. 1589- 1592 ,(2011) , 10.1109/ICIP.2011.6115753
David S. Tuch, Q‐ball imaging Magnetic Resonance in Medicine. ,vol. 52, pp. 1358- 1372 ,(2004) , 10.1002/MRM.20279
Olaf Sporns, Making sense of brain network data Nature Methods. ,vol. 10, pp. 491- 493 ,(2013) , 10.1038/NMETH.2485