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...
| Main Authors: | , , |
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| Format: | Online |
| Language: | English |
| Published: |
Frontiers Media S.A.
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530032/ |