Literature DB >> 10616124

An evaluation of dipole reconstruction accuracy with spherical and realistic head models in MEG.

A Crouzeix1, B Yvert, O Bertrand, J Pernier.   

Abstract

MEG forward problem has been solved for about 2000 dipoles placed on the brain surface using a very fine 3-layer realistic model of the head and the boundary element method (BEM). For each dipole, spherical models, one-layer realistic BEM models and coarser 3-layer realistic BEM models, were used to reconstruct the dipole. It was found that the localization bias induced by using a spherical model of the head increased from 2.5 mm in the upper part of the head to 12 mm in the lower part, on average. It was also found that, for the same computing time, a 3-layer model of the head gave on average 2 mm better localization errors than a one-layer model of the head. Orientation errors of less than 20 degrees could only be retrieved with a 3-layer realistic model. Localization and orientation errors highly depended on the dipole position in the brain.

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Year:  1999        PMID: 10616124     DOI: 10.1016/s1388-2457(99)00174-1

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  14 in total

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Journal:  AJNR Am J Neuroradiol       Date:  2012-08-09       Impact factor: 3.825

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Journal:  Hum Brain Mapp       Date:  2007-04       Impact factor: 5.038

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Journal:  Epilepsy Res       Date:  2009-04-24       Impact factor: 3.045

9.  Decreased language laterality in tuberous sclerosis complex: a relationship between language dominance and tuber location as well as history of epilepsy.

Authors:  Anne Gallagher; Naoaki Tanaka; Nao Suzuki; Hesheng Liu; Elizabeth A Thiele; Steven M Stufflebeam
Journal:  Epilepsy Behav       Date:  2012-08-17       Impact factor: 2.937

10.  EEG/MEG source imaging: methods, challenges, and open issues.

Authors:  Katrina Wendel; Outi Väisänen; Jaakko Malmivuo; Nevzat G Gencer; Bart Vanrumste; Piotr Durka; Ratko Magjarević; Selma Supek; Mihail Lucian Pascu; Hugues Fontenelle; Rolando Grave de Peralta Menendez
Journal:  Comput Intell Neurosci       Date:  2009-07-20
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