Title
Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions.
Abstract
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 Murugesan1121.88
Kristofer E Bouchard2188.99
Edward F. Chang3249.78
Max Dougherty441.08
Bernd Hamann52283206.78
Gunther Weber61398.26