Title | ||
---|---|---|
Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions. |
Abstract | ||
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ECoG ClusterFlow supports the comparison of spatio-temporal patterns for specific time intervals and allows a user to utilize various clustering algorithms. Neuroscientists can identify the site of seizure genesis and its spatial progression during various the stages of a seizure. Our system serves as a fast and powerful means for the generation of preliminary hypotheses that can be used as a basis for subsequent application of rigorous statistical methods, with the ultimate goal being the clinical treatment of epileptogenic zones. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1186/s12859-017-1633-9 | BMC Bioinformatics |
Keywords | Field | DocType |
Brain imaging,Clustering,Electrocorticography,Epilepsy,Graph visualization,Mutli-scale analysis,Neuroinformatics,Spatio-temporal graphs,Unsupervised learning,Visual analysis | Neuroinformatics,Electrocorticography,Computer science,Neural activity,Software,Interactive visual analysis,Unsupervised learning,Bioinformatics,Neuroimaging,Cluster analysis | Journal |
Volume | Issue | ISSN |
18 | 6 | 1471-2105 |
Citations | PageRank | References |
3 | 0.40 | 33 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sugeerth Murugesan | 1 | 12 | 1.88 |
Kristofer E Bouchard | 2 | 18 | 8.99 |
Edward F. Chang | 3 | 24 | 9.78 |
Max Dougherty | 4 | 4 | 1.08 |
Bernd Hamann | 5 | 2283 | 206.78 |
Gunther Weber | 6 | 139 | 8.26 |