Comparison of beamformer and ICA for dynamic connectivity analysis: A simultaneous MEG-SEEG study

Comparison of beamformer and ICA for dynamic connectivity analysis: A simultaneous MEG-SEEG study

Magnetoencephalography (MEG) is a powerful tool for estimating brain connectivity with both good spatial and temporal resolution. It is particularly helpful in epilepsy to characterize non-invasively the epileptic networks. However, using MEG to map brain networks requires solving a difficult invers...

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Bibliographic Details
Main Authors: Stefania Coelli, Samuel Medina Villalon, Francesca Bonini, Jayabal Velmurugan, Víctor J. López-Madrona, Romain Carron, Fabrice Bartolomei, Jean-Michel Badier, Christian-G. Bénar
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:NeuroImage
Subjects:
MEG
ICA
Beamformer
Brain connectivity
Simultaneous recordings
Source reconstruction
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922009272

Internet

http://www.sciencedirect.com/science/article/pii/S1053811922009272

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