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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Detalles Bibliográficos
Autores principales: Hincapié, Ana-Sofía, Kujala, Jan, Mattout, Jérémie, Daligault, Sebastien, Delpuech, Claude, Mery, Domingo, Cosmelli, Diego, Jerbi, Karim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820599/
https://www.ncbi.nlm.nih.gov/pubmed/27092179
http://dx.doi.org/10.1155/2016/3979547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820599/
https://www.ncbi.nlm.nih.gov/pubmed/27092179
http://dx.doi.org/10.1155/2016/3979547

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