Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation

Tuning Minimum-Norm regularization parameters for optimal MEG connectivity estimation

The accurate characterization of cortical functional connectivity from Magnetoencephalography (MEG) data remains a challenging problem due to the subjective nature of the analysis, which requires several decisions at each step of the analysis pipeline, such as the choice of a source estimation algor...

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Bibliographic Details
Main Authors: Elisabetta Vallarino, Ana Sofia Hincapié, Karim Jerbi, Richard M. Leahy, Annalisa Pascarella, Alberto Sorrentino, Sara Sommariva
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:NeuroImage
Subjects:
Functional connectivity
MEG
Surrogate data
Regularization parameter
Minimum norm estimate
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923005074

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http://www.sciencedirect.com/science/article/pii/S1053811923005074

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