MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters

Minimum Norm Estimation (MNE) is an inverse solution method widely used to reconstruct the source time series that underlie magnetoencephalography (MEG) data. MNE addresses the ill-posed nature of MEG source estimation through regularization (e.g., Tikhonov regularization). Selecting the best regula...

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Detalhes bibliográficos
Publicado no:Comput Intell Neurosci
Main Authors: Hincapié, Ana-Sofía, Kujala, Jan, Mattout, Jérémie, Daligault, Sebastien, Delpuech, Claude, Mery, Domingo, Cosmelli, Diego, Jerbi, Karim
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4820599/
https://ncbi.nlm.nih.gov/pubmed/27092179
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/3979547
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