Modeling versus accuracy in EEG and MEG data

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The widespread availability of high-resolution anatomical information has placed a greater emphasis on accurate electroencephalography and magnetoencephalography (collectively, E/MEG) modeling. A more accurate representation of the cortex, inner skull surface, outer skull surface, and scalp should lead to a more accurate forward model and hence improve inverse modeling efforts. The authors examine a few topics in this paper that highlight some of the problems of forward modeling, then discuss the impacts these results have on the inverse problem. The authors begin by assuming a perfect head model, that of the sphere, then show the lower bounds on localization accuracy of ... continued below

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10 p.

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Mosher, J. C.; Huang, M.; Leahy, R. M. & Spencer, M. E. July 30, 1997.

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Description

The widespread availability of high-resolution anatomical information has placed a greater emphasis on accurate electroencephalography and magnetoencephalography (collectively, E/MEG) modeling. A more accurate representation of the cortex, inner skull surface, outer skull surface, and scalp should lead to a more accurate forward model and hence improve inverse modeling efforts. The authors examine a few topics in this paper that highlight some of the problems of forward modeling, then discuss the impacts these results have on the inverse problem. The authors begin by assuming a perfect head model, that of the sphere, then show the lower bounds on localization accuracy of dipoles within this perfect forward model. For more realistic anatomy, the boundary element method (BEM) is a common numerical technique for solving the boundary integral equations. For a three-layer BEM, the computational requirements can be too intensive for many inverse techniques, so they examine a few simplifications. They quantify errors in generating this forward model by defining a regularized percentage error metric. The authors then apply this metric to a single layer boundary element solution, a multiple sphere approach, and the common single sphere model. They conclude with an MEG localization demonstration on a novel experimental human phantom, using both BEM and multiple spheres.

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10 p.

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OSTI as DE98001339

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  • 1997 noninvasive functional source imaging, Graz (Austria), 25-27 Sep 1997

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  • Other: DE98001339
  • Report No.: LA-UR--97-3181
  • Report No.: CONF-9709142--
  • Grant Number: W-7405-ENG-36
  • DOI: 10.2172/554813 | External Link
  • Office of Scientific & Technical Information Report Number: 554813
  • Archival Resource Key: ark:/67531/metadc690113

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  • July 30, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Oct. 4, 2017, 2:07 p.m.

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Mosher, J. C.; Huang, M.; Leahy, R. M. & Spencer, M. E. Modeling versus accuracy in EEG and MEG data, report, July 30, 1997; New Mexico. (digital.library.unt.edu/ark:/67531/metadc690113/: accessed October 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.