MEG Source Imaging Method using Fast L1 Minimum-norm and its Applications to Signals with Brain Noise and Human Resting-state Source Amplitude Images

The present study developed a fast MEG source imaging technique based on Fast Vector-based Spatio-Temporal Analysis using a L1-minimum-norm (Fast-VESTAL) and then used the method to obtain the source amplitude images of resting-state magnetoencephalography (MEG) signals for different frequency bands...

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Hlavní autoři: Huang, Ming-Xiong, Huang, Charles W., Robb, Ashley, Angeles, AnneMarie, Nichols, Sharon L., Baker, Dewleen G., Song, Tao, Harrington, Deborah L., Theilmann, Rebecca J., Srinivasan, Ramesh, Heister, David, Diwakar, Mithun, Canive, Jose M., Edgar, J. Christopher, Chen, Yu-Han, Ji, Zhengwei, Shen, Max, El-Gabalawy, Fady, Levy, Michael, McLay, Robert, Webb-Murphy, Jennifer, Liu, Thomas T., Drake, Angela, Lee, Roland R.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4096863/
https://ncbi.nlm.nih.gov/pubmed/24055704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.09.022
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