Global optimization in the localization of neuromagnetic sources |
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Authors: | Uutela K. Hamalainen M. Salmelin R. |
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Affiliation: | Low Temp. Lab., Helsinki Univ. of Technol., Espoo ; |
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Abstract: | The locations of active brain areas can be estimated from the magnetic field produced by the neural current sources. In many cases, the actual current distribution can be modeled with a set of stationary current dipoles with time-varying amplitudes. This work studies global optimization methods that find the minimum of the least-squares error function of the current dipole estimation problem. Three different global optimization methods were investigated: clustering method, simulated annealing, and genetic algorithms. In simulation studies, the genetic algorithm was the most effective method. The methods were also applied to analysis of actual measurement data |
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