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K. Uutela, M. Hamalainen, R. Salmelin. Global optimization in the localization of neuromagnetic sources. IEEE Trans Biomed Eng, 45(6):716-723, 1998.


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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


[ Algorithms ] [ Comparative study ] [ Evoked potentials ] [ Auditory ] [ Human ] [ Language tests ] [ Least-squares analysis ] [ Linear models ] [ *magnetoencephalography ] [ *models ] [ Neurological ] [ Reference values ] [ Reproducibility of results ] [ *signal processing ] [ Computer-assisted ] [ Support ] [ Non-u.s. gov't ] [ Visual cortex/*physiology ]


K. Uutela
M. S. Hamalainen
R. Salmelin

BibTex Reference

   Author = {Uutela, K. and Hamalainen, M. and Salmelin, R.},
   Title = {Global optimization in the localization of neuromagnetic sources},
   Journal = {IEEE Trans Biomed Eng},
   Volume = {45},
   Number = {6},
   Pages = {716--723},
   Year = {1998}

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