A comparative study of minimum norm inverse methods for MEG imaging

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The majority of MEG imaging techniques currently in use fall into the general class of (weighted) minimum norm methods. The minimization of a norm is used as the basis for choosing one from a generally infinite set of solutions that provide an equally good fit to the data. This ambiguity in the solution arises from the inherent non- uniqueness of the continuous inverse problem and is compounded by the imbalance between the relatively small number of measurements and the large number of source voxels. Here we present a unified view of the minimum norm methods and describe how we can ... continued below

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5 p.

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Leahy, R. M.; Mosher, J. C. & Phillips, J. W. July 1, 1996.

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The majority of MEG imaging techniques currently in use fall into the general class of (weighted) minimum norm methods. The minimization of a norm is used as the basis for choosing one from a generally infinite set of solutions that provide an equally good fit to the data. This ambiguity in the solution arises from the inherent non- uniqueness of the continuous inverse problem and is compounded by the imbalance between the relatively small number of measurements and the large number of source voxels. Here we present a unified view of the minimum norm methods and describe how we can use Tikhonov regularization to avoid instabilities in the solutions due to noise. We then compare the performance of regularized versions of three well known linear minimum norm methods with the non-linear iteratively reweighted minimum norm method and a Bayesian approach.

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5 p.

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OSTI as DE96012735

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

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  • Other: DE96012735
  • Report No.: LA-UR--96-1941
  • Report No.: CONF-9602101--7
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 400181
  • Archival Resource Key: ark:/67531/metadc678172

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  • July 1, 1996

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  • July 25, 2015, 2:20 a.m.

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  • Oct. 3, 2017, 7:29 p.m.

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Leahy, R. M.; Mosher, J. C. & Phillips, J. W. A comparative study of minimum norm inverse methods for MEG imaging, article, July 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc678172/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.