Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data

Murugesan, Sugeerth; Bouchard, Kristofer; Chang, Edward; Dougherty, Max; Hamann, Bernd; Weber, Gunther H.

doi:10.1145/2975167.2985688

Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data

Journal Article · 02 October 2016 · IEEE/ACM Transactions on Computational Biology and Bioinformatics

DOI:https://doi.org/10.1145/2975167.2985688· OSTI ID:1377525

Murugesan, Sugeerth ^[1]; Bouchard, Kristofer ^[1]; Chang, Edward ^[2]; Dougherty, Max ^[1]; Hamann, Bernd ^[3]; Weber, Gunther H. ^[1]

Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Univ. of California, San Francisco, CA (United States)
Univ. of California, Davis, CA (United States)

Here, we present ECoG ClusterFlow, a novel interactive visual analysis tool for the exploration of high-resolution Electrocorticography (ECoG) data. Our system detects and visualizes dynamic high-level structures, such as communities, using the time-varying spatial connectivity network derived from the high-resolution ECoG data. ECoG ClusterFlow provides a multi-scale visualization of the spatio-temporal patterns underlying the time-varying communities using two views: 1) an overview summarizing the evolution of clusters over time and 2) a hierarchical glyph-based technique that uses data aggregation and small multiples techniques to visualize the propagation of clusters in their spatial domain. ECoG ClusterFlow makes it possible 1) to compare the spatio-temporal evolution patterns across various time intervals, 2) to compare the temporal information at varying levels of granularity, and 3) to investigate the evolution of spatial patterns without occluding the spatial context information. Lastly, we present case studies done in collaboration with neuroscientists on our team for both simulated and real epileptic seizure data aimed at evaluating the effectiveness of our approach.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1377525

Journal Information:: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal Name: IEEE/ACM Transactions on Computational Biology and Bioinformatics; ISSN 1545-5963

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

References (24)

Clustering, Visualizing, and Navigating for Large Dynamic Graphs Sallaberry, Arnaud; Muelder, Chris; Ma, Kwan-Liu Graph Drawing https://doi.org/10.1007/978-3-642-36763-2_43	book	January 2013
Exploratory spatio-temporal visualization: an analytical review Andrienko, Natalia; Andrienko, Gennady; Gatalsky, Peter Journal of Visual Languages & Computing, Vol. 14, Issue 6 https://doi.org/10.1016/S1045-926X(03)00046-6	journal	December 2003
Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures Ponten, S. C.; Bartolomei, F.; Stam, C. J. Clinical Neurophysiology, Vol. 118, Issue 4 https://doi.org/10.1016/j.clinph.2006.12.002	journal	April 2007
Dynamic functional connectivity: Promise, issues, and interpretations Hutchison, R. Matthew; Womelsdorf, Thilo; Allen, Elena A. NeuroImage, Vol. 80 https://doi.org/10.1016/j.neuroimage.2013.05.079	journal	October 2013
Functional Network Organization of the Human Brain Power, Jonathan D.; Cohen, Alexander L.; Nelson, Steven M. Neuron, Vol. 72, Issue 4 https://doi.org/10.1016/j.neuron.2011.09.006	journal	November 2011
Community detection in graphs Fortunato, Santo Physics Reports, Vol. 486, Issue 3-5 https://doi.org/10.1016/j.physrep.2009.11.002	journal	February 2010
Space, time and visual analytics Andrienko, Gennady; Andrienko, Natalia; Demsar, Urska International Journal of Geographical Information Science, Vol. 24, Issue 10 https://doi.org/10.1080/13658816.2010.508043	journal	October 2010
Envisioning Information Tufte, Edward R. Optometry and Vision Science, Vol. 68, Issue 4 https://doi.org/10.1097/00006324-199104000-00013	journal	January 1991
Intrusion and misuse detection in large-scale systems Erbacher, R. F.; Walker, K. L.; Frincke, D. A. IEEE Computer Graphics and Applications, Vol. 22, Issue 1 https://doi.org/10.1109/38.974517	journal	January 2002
Tracking the Evolution of Communities in Dynamic Social Networks Greene, Derek; Doyle, Dónal; Cunningham, Pádraig 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010) https://doi.org/10.1109/ASONAM.2010.17	conference	August 2010
Interactive Sankey diagrams Riehmann, P.; Hanfler, M.; Froehlich, B. IEEE Symposium on Information Visualization, 2005. INFOVIS 2005. https://doi.org/10.1109/INFVIS.2005.1532152	conference	January 2005
Interactive analysis of event data using space-time cube Gatalsky, P.; Andrienko, N.; Andrienko, G. Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004. https://doi.org/10.1109/IV.2004.1320137	conference	January 2004
Focused Animation of Dynamic Compound Graphs Reitz, Florian; Pohl, Mathias; Diehl, Stephan 2009 13th International Conference Information Visualisation, IV https://doi.org/10.1109/IV.2009.24	conference	July 2009
Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines Elmqvist, N.; Fekete, J. -D. IEEE Transactions on Visualization and Computer Graphics, Vol. 16, Issue 3 https://doi.org/10.1109/TVCG.2009.84	journal	May 2010
Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs Archambault, D.; Purchase, H.; Pinaud, B. IEEE Transactions on Visualization and Computer Graphics, Vol. 17, Issue 4 https://doi.org/10.1109/TVCG.2010.78	journal	April 2011
TargetVue: Visual Analysis of Anomalous User Behaviors in Online Communication Systems Cao, Nan; Shi, Conglei; Lin, Sabrina IEEE Transactions on Visualization and Computer Graphics, Vol. 22, Issue 1 https://doi.org/10.1109/TVCG.2015.2467196	journal	January 2016
Visualizing the Evolution of Communities in Dynamic Graphs: Visualizing the Evolution of Communities in Dynamic Graphs Vehlow, C.; Beck, F.; Auwärter, P. Computer Graphics Forum, Vol. 34, Issue 1 https://doi.org/10.1111/cgf.12512	journal	November 2014
Visualizing the Evolution of Community Structures in Dynamic Social Networks Reda, Khairi; Tantipathananandh, Chayant; Johnson, Andrew Computer Graphics Forum, Vol. 30, Issue 3 https://doi.org/10.1111/j.1467-8659.2011.01955.x	journal	June 2011
Modular Brain Networks Sporns, Olaf; Betzel, Richard F. Annual Review of Psychology, Vol. 67, Issue 1 https://doi.org/10.1146/annurev-psych-122414-033634	journal	January 2016
ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps Harrower, Mark; Brewer, Cynthia A. The Cartographic Journal, Vol. 40, Issue 1 https://doi.org/10.1179/000870403235002042	journal	June 2003
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans He, Yong; Wang, Jinhui; Wang, Liang PLoS ONE, Vol. 4, Issue 4 https://doi.org/10.1371/journal.pone.0005226	journal	April 2009
Mapping Change in Large Networks Rosvall, Martin; Bergstrom, Carl T. PLoS ONE, Vol. 5, Issue 1 https://doi.org/10.1371/journal.pone.0008694	journal	January 2010
Scaling Effects and Spatio-Temporal Multilevel Dynamics in Epileptic Seizures Meisel, Christian; Kuehn, Christian PLoS ONE, Vol. 7, Issue 2 https://doi.org/10.1371/journal.pone.0030371	journal	February 2012
Navigating Clustered Graphs Using Force-Directed Methods Eades, Peter; Lin Huang, Mao Journal of Graph Algorithms and Applications, Vol. 4, Issue 3 https://doi.org/10.7155/jgaa.00029	journal	January 2000

Similar Records

Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions

Journal Article · 2017 · BMC Bioinformatics · OSTI ID:1379884

ECoG Cluster Flow v1.0

Software · 2017 · OSTI ID:1364331

ECoG Cluster Flow v1.0

Software · 2017 · OSTI ID:code-5237

Related Subjects

60 APPLIED LIFE SCIENCES
97 MATHEMATICS AND COMPUTING
Brain Imaging
Electrocorticography
Graph Visualization
Linked Views
Neuroinformatics

Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Electrocorticography Data

Citation Formats

References (24)

Similar Records

Related Subjects