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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Comput Intell Neurosci
Main Authors: Hincapié, Ana-Sofía, Kujala, Jan, Mattout, Jérémie, Daligault, Sebastien, Delpuech, Claude, Mery, Domingo, Cosmelli, Diego, Jerbi, Karim
Format: Artigo
Jezik:Inglês
Izdano: Hindawi Publishing Corporation 2016
Teme:
Research Article
Online dostop: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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