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Non-Parametric Statistical Thresholding for Sparse Magnetoencephalography Source Reconstructions
Uncovering brain activity from magnetoencephalography (MEG) data requires solving an ill-posed inverse problem, greatly confounded by noise, interference, and correlated sources. Sparse reconstruction algorithms, such as Champagne, show great promise in that they provide focal brain activations robu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530032/ https://www.ncbi.nlm.nih.gov/pubmed/23271990 http://dx.doi.org/10.3389/fnins.2012.00186 |