Multi-source localization in MEG using simulated annealing: model order determination and parameter accuracy

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Empirical neuromagnetic studies have reported that multiple brain regions are active at single instants in time as well as across time intervals of interest. Determining the number of active regions, however, required a systematic search across increasing model orders using reduced chi-square measure of goodness-of-fit and multiple starting points within each model order assumed. Simulated annealing was recently proposed for noiseless biomagnetic data as an effective global minimizer. A modified cost function was also proposed to effectively deal with an unknown number of dipoles for noiseless, multi-source biomagnetic data. Numerical simulation studies were conducted using simulated annealing to examine effects ... continued below

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Huang, M.; Supek, S. & Aine, C. June 1, 1996.

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Empirical neuromagnetic studies have reported that multiple brain regions are active at single instants in time as well as across time intervals of interest. Determining the number of active regions, however, required a systematic search across increasing model orders using reduced chi-square measure of goodness-of-fit and multiple starting points within each model order assumed. Simulated annealing was recently proposed for noiseless biomagnetic data as an effective global minimizer. A modified cost function was also proposed to effectively deal with an unknown number of dipoles for noiseless, multi-source biomagnetic data. Numerical simulation studies were conducted using simulated annealing to examine effects of a systematic increase in model order using both reduced chi-square as a cost function as well as a modified cost function, and effects of overmodeling on parameter estimation accuracy. Effects of different choices of weighting factors are also discussed. Simulated annealing was also applied to visually evoked neuromagnetic data and the effectiveness of both cost functions in determining the number of active regions was demonstrated.

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5 p.

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OSTI as DE96011291

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  • Biomagnetism conference, Santa Fe, NM (United States), Feb 1996

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  • Other: DE96011291
  • Report No.: LA-UR--96-1719
  • Report No.: CONF-9602101--2
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 243440
  • Archival Resource Key: ark:/67531/metadc666097

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  • June 1, 1996

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  • June 29, 2015, 9:42 p.m.

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  • Feb. 25, 2016, 9:22 p.m.

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Huang, M.; Supek, S. & Aine, C. Multi-source localization in MEG using simulated annealing: model order determination and parameter accuracy, article, June 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc666097/: accessed October 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.