Regularization is indeed necessary because of the ill-posed nature of the MEG inverse problem: 1) there is no unique solution and 2) solutions are not numerically stable in presence of noise and limited numerical precision.
Regularization is a very generic solution to these issues. MN is one way to obtain a unique, stable solution.
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