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DSL and MUSIC Under model misspecification and noise-conditions

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Summary

The concepts of both the traditional DSL (Dipole Source Localization) and MUSIC (Multiple Signal Classification) are explained using simple vectors. DSL and MUSIC differ in the way the weighting functions are found. In both DSL and MUSIC, the fitted generator magnitudes are found by projecting the recorded potential map onto the fitted weighting functions, and the model transfers the weighting functions into generator locations/orientations. Both DSL and MUSIC will cause errors in the fitted dipole parameters when there is model misspecification, noise, or both. Therefore, an accurate head model is essential for either method to give reliable results.

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References

  • Cuffin, B.N. A comparison of moving dipole inverse solutions using EEG and MEG's. IEEE Trans. Biomed. Eng., 1985, BME-32: 905–910.

    Google Scholar 

  • de Munck, J.C. The potential distribution in a layered anisotropic spheroidal volume conductor. J. Appl. Phys., 1988 64: 464–470.

    Google Scholar 

  • Franssen, H., Stegeman, D.F., Moleman, J. and Schoobaar, R.P. Dipole modelling of median nerve SEPs in normal subjects and patients with small subcortical infarcts. Electroenceph. clin. Neurophysiol., 1992, 84: 401–417.

    PubMed  Google Scholar 

  • He, B. and Musha, T. Equivalent dipole estimation of spontaneous EEG alpha activity: two-moving dipole approach. Med. & Biol. Eng. & Comput., 1992, 30: 324–332.

    Google Scholar 

  • Henderson, C.J., Butler, S.R. and Glass, A. Analysis of EEG potential fields in terms of multiple equivalent dipoles. Electroenceph. clin. Neurophysiol., 1977, 43: 770.

    Google Scholar 

  • Jewett, D.L., Martin, W.H., Sininger, Y.S. and Gardi, J.N. The 3-channel lissajous' trajectory of the auditory brain-stem response. I. Introduction and overview. Electroenceph. clin. Neurophysiol., 1987, 68: 323–326.

    PubMed  Google Scholar 

  • Kavanagh, R.N., Darcey, T.M., Lehmann, D. and Fender, D.H. Evaluation of methods for three-dimensional localization of electrical sources in the human brain. IEEE Trans. Bio-med. Eng., 1978, 25: 421–429.

    Google Scholar 

  • Lehmann, D., Darcey, T.M. and Skrandies, W. Intracerebral and scalp fields evoked by hemiretinal checkerboard reversal, and modeling of their dipole generators. In: J. Courjon, F. Mauguiere and M. Revol (Eds.), Clinical Applications of Evoked Potentials in Neurology. Raven Press, New York, 1982: 41–48.

    Google Scholar 

  • Mosher, J.C, Lewis, P.S. and Leahy, R.M. Multiple dipole modeling and localization from spatio-temporal MEG data. IEEE Trans. Biomed. Eng., 1992, 39: 541–557.

    PubMed  Google Scholar 

  • Scherg, M. Functional imaging and localization of electromagnetic brain activity. Brain Topography, 1992 5: 103–111.

    PubMed  Google Scholar 

  • Scherg, M. and van Cramon, D. Two bilateral sources of the late AEP as identified by a spatio-temporal dipole model. Electroenceph. clin. Neurophysiol., 1985a 62: 32–44.

    PubMed  Google Scholar 

  • Scherg, M. and van Cramon, D. A new interpretation of the generators of BAEP waves I–V: Results of a spatio-temporal dipole model. Electroenceph. clin. Neurophysiol., 1985b, 62: 290–299.

    PubMed  Google Scholar 

  • Turetsky, B., Raz, J. and Fein, G. Representation of multi-channel evoked potential data using a dipole component model of intracranial generators: application to the auditory P300. Electroenceph. clin. Neurophysiol., 1990, 76: 540–556.

    PubMed  Google Scholar 

  • Zhang, Z. and Jewett, D.L. Insidious errors in dipole localization parameters at a single time-point due to model misspecification of number of shells. Electroenceph. clin. Neurophysiol., 1993, 88: 1–11.

    PubMed  Google Scholar 

  • Zhang, Z. and Jewett, D.L. Model misspecification detection by means of Multiple-Generator Error, using the observed potential map. Brain Topography, 1994, 7(1): 29–39.

    PubMed  Google Scholar 

  • Zhang, Z., Jewett, D.L. and Goodwill, G. Insidious errors in dipole parameters due to shell model misspecification using multiple time-points. Brain Topography, 1994, 6: 283–298.

    PubMed  Google Scholar 

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Authors and Affiliations

  1. Research Division, Abratech Corporation, 475 Gate Five Rd., Suite 255, 94965, Sausalito, California, USA

    Zhi Zhang & Don L. Jewett

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  1. Zhi Zhang
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  2. Don L. Jewett
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Additional information

This research was supported by grant R01DC00328 from the National Institute on Deafness and Other Communication Diseases. We thank Dan Fletcher for his suggestions on the manuscript.

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Zhang, Z., Jewett, D.L. DSL and MUSIC Under model misspecification and noise-conditions. Brain Topogr 7, 151–161 (1994). https://doi.org/10.1007/BF01186773

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  • DOI: https://doi.org/10.1007/BF01186773

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