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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Dettagli Bibliografici
Pubblicato in:Comput Intell Neurosci
Autori principali: Hincapié, Ana-Sofía, Kujala, Jan, Mattout, Jérémie, Daligault, Sebastien, Delpuech, Claude, Mery, Domingo, Cosmelli, Diego, Jerbi, Karim
Natura: Artigo
Lingua:Inglês
Pubblicazione: Hindawi Publishing Corporation 2016
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Research Article
Accesso online: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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