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

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

Abstract Background There exists a need for effective and easy-to-use software tools supporting the analysis of complex Electrocorticography (ECoG) data. Understanding how epileptic seizures develop or identifying diagnostic indicators for neurological diseases require the in-depth analysis of neura...

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Bibliographic Details
Main Authors: Sugeerth Murugesan, Kristofer Bouchard, Edward Chang, Max Dougherty, Bernd Hamann, Gunther H. Weber
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Bioinformatics
Subjects:
Electrocorticography
Clustering
Spatio-temporal graphs
Unsupervised learning
Neuroinformatics
Epilepsy
Online Access:http://link.springer.com/article/10.1186/s12859-017-1633-9

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http://link.springer.com/article/10.1186/s12859-017-1633-9

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