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2002 1
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2016 1
2021 0
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MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters.
Hincapié AS, Kujala J, Mattout J, Daligault S, Delpuech C, Mery D, Cosmelli D, Jerbi K. Hincapié AS, et al. Comput Intell Neurosci. 2016;2016:3979547. doi: 10.1155/2016/3979547. Epub 2016 Mar 22. Comput Intell Neurosci. 2016. PMID: 27092179 Free PMC article.
However, it is yet to be known whether the optimal lambda for spectral power analysis of MEG source data coincides with the optimal regularization for source-level oscillatory coupling analysis. We addressed this question via extensive Monte-Carlo simulations of MEG data, …
However, it is yet to be known whether the optimal lambda for spectral power analysis of MEG source data coincides with the optimal regulari …
Estimation of neural dynamics from MEG/EEG cortical current density maps: application to the reconstruction of large-scale cortical synchrony.
David O, Garnero L, Cosmelli D, Varela FJ. David O, et al. IEEE Trans Biomed Eng. 2002 Sep;49(9):975-87. doi: 10.1109/TBME.2002.802013. IEEE Trans Biomed Eng. 2002. PMID: 12214887
Surrogates allow the reduction of the source space in order to reconstruct MEG/EEG data with reduced biases in both source localization and time-series dynamics. Monte Carlo simulations and results obtained from real MEG data indicate it is possible to estimate non invasiv …
Surrogates allow the reduction of the source space in order to reconstruct MEG/EEG data with reduced biases in both source localization and …