EEG source localization and imaging using multiple signal classification approaches.
Equivalent current dipoles are a powerful tool for modeling focal sources. The dipole is often sufficient to adequately represent sources of measured scalp potentials, even when the area of activation exceeds 1 cm2 of cortex. Traditional least-squares fitting techniques involve minimization of an er...
| Publicado en: | Journal of Clinical Neurophysiology Vol. 16; no. 3; pp. 225 - 239 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
May1999
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=112252770&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112252770 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07360258 8CL jtl: Journal of Clinical Neurophysiology issn: 07360258 maglogo: N pubinfo: dt: May1999 vid: 16 iid: 3 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 112252770 112252770 NLM10426406 112252770 10.1097/00004691-199905000-00004 NLM10426406 112252770 ppf: 225 ppct: 14 formats: tig: atl: EEG source localization and imaging using multiple signal classification approaches. aug: au: Mosher, John C. Baillet, Sylvain Leahy, Richard M. Mosher, J C Baillet, S Leahy, R M affil: Los Alamos National Laboratory, Los Alamos, New Mexico, and ∗Signal and Image Processing Institute, University of Southern California, Los Angeles, California, U.S.A. sug: subj: Brain Mapping Electroencephalography Methods Diagnosis, Neurologic Methods Epilepsy Diagnosis Action Potentials Regression Systems Analysis Models, Biological Male Epilepsy Physiopathology Female Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies Male Female ab: Equivalent current dipoles are a powerful tool for modeling focal sources. The dipole is often sufficient to adequately represent sources of measured scalp potentials, even when the area of activation exceeds 1 cm2 of cortex. Traditional least-squares fitting techniques involve minimization of an error function with respect to the location and orientation of the dipoles. The existence of multiple local minima in this error function can result in gross errors in the computed source locations. The problem is further compounded by the requirement that the model order, i.e. the number of dipoles, be determined before error minimization can be performed. An incorrect model order can produce additional errors in the estimated source parameters. Both of these problems can be avoided using alternative search strategies based on the MUSIC (multiple signal classification) algorithm. Here the authors review the MUSIC approach and demonstrate its application to the localization of multiple current dipoles from EEG data. The authors also show that the number of detectable sources can be determined in a recursive manner from the data. Also, in contrast to least-squares, the method can find dipolar sources in the presence of additional non-dipolar sources. Finally, extensions of the MUSIC approach to allow the modeling of distributed sources are discussed. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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