Genetic algorithms for neuromagnetic source reconstruction
Paul S. Lewis, John C. Mosher · 2002
Neuromagnetic source reconstruction is the process of deducing internal brain currents from the external magnetic fields they produce. Brain currents are the result of neural activity and a map of their distribution corresponds to a functional image of the brain. In this paper the reconstruction is formulated as an underdetermined linear inverse problem to which a minimal source solution is sought. The minimal source solution is defined by the minimization of a hybrid metric that accounts for both the sparseness of the reconstruction and its compatibility with the measured magnetic field. Genetic algorithms are employed as a robust means of computing this minimal source reconstruction.>