Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data

Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data

Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. However, EEG source estimation techniques encounter numerous methodological challenges, with a key one being the selection of the regular...

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Bibliographic Details
Main Authors: F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:NeuroImage
Subjects:
EEG
Resting-state
Regularization parameter
Source reconstruction
Minimum Norm Estimation
Functional connectivity
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811924003938
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