Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data

Automated Detection of Epileptic Biomarkers in Resting-State Interictal MEG Data

Certain differences between brain networks of healthy and epilectic subjects have been reported even during the interictal activity, in which no epileptic seizures occur. Here, magnetoencephalography (MEG) data recorded in the resting state is used to discriminate between healthy subjects and patien...

Full description

Bibliographic Details
Main Authors: Miguel C. Soriano, Guiomar Niso, Jillian Clements, Silvia Ortín, Sira Carrasco, María Gudín, Claudio R. Mirasso, Ernesto Pereda
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Neuroinformatics
Subjects:
epilepsy
magnetoencephalography
randomized neural networks
automated classification
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00043/full

Similar Items

Similar Items