Literature DB >> 9104826

The influence of skull-conductivity misspecification on inverse source localization in realistically shaped finite element head models.

R Pohlmeier1, H Buchner, G Knoll, A Rienäcker, R Beckmann, J Pesch.   

Abstract

The electric conductivities of different tissues are important parameters of the head model and their precise knowledge appears to be a prerequisite for the localization of electric sources within the brain. To estimate the error in source localization due to errors in assumed conductivity values, parameter variations on skull conductivities are examined. The skull conductivity was varied in a wide range and, in a second part of this paper, the effect of a nonhomogeneous skull conductivity was examined. An error in conductivity of lower than 20% appears to be acceptable for fine finite element head models with average discretization errors down to 3 mm. Nonhomogeneous skull conductivities, e.g., sutures, yield important mislocalizations especially in the vincinty of electrodes and should be modeled.

Mesh:

Year:  1997        PMID: 9104826     DOI: 10.1007/bf01190384

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  9 in total

1.  Dipole location errors in electroencephalogram source analysis due to volume conductor model errors.

Authors:  B Vanrumste; G Van Hoey; R Van de Walle; M D'Havé; I Lemahieu; P Boon
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Modeling of the human skull in EEG source analysis.

Authors:  Moritz Dannhauer; Benjamin Lanfer; Carsten H Wolters; Thomas R Knösche
Journal:  Hum Brain Mapp       Date:  2010-08-05       Impact factor: 5.038

3.  Modeling skull electrical properties.

Authors:  R J Sadleir; A Argibay
Journal:  Ann Biomed Eng       Date:  2007-07-14       Impact factor: 3.934

4.  A novel integrated MEG and EEG analysis method for dipolar sources.

Authors:  Ming-Xiong Huang; Tao Song; Donald J Hagler; Igor Podgorny; Veikko Jousmaki; Li Cui; Kathleen Gaa; Deborah L Harrington; Anders M Dale; Roland R Lee; Jeff Elman; Eric Halgren
Journal:  Neuroimage       Date:  2007-06-14       Impact factor: 6.556

5.  Variable anisotropic brain electrical conductivities in epileptogenic foci.

Authors:  M Akhtari; M Mandelkern; D Bui; N Salamon; H V Vinters; G W Mathern
Journal:  Brain Topogr       Date:  2010-05-04       Impact factor: 3.020

6.  Forward and inverse electroencephalographic modeling in health and in acute traumatic brain injury.

Authors:  Andrei Irimia; S Y Matthew Goh; Carinna M Torgerson; Micah C Chambers; Ron Kikinis; John D Van Horn
Journal:  Clin Neurophysiol       Date:  2013-06-06       Impact factor: 3.708

7.  Variation in Reported Human Head Tissue Electrical Conductivity Values.

Authors:  Hannah McCann; Giampaolo Pisano; Leandro Beltrachini
Journal:  Brain Topogr       Date:  2019-05-03       Impact factor: 3.020

8.  Influence of head models on EEG simulations and inverse source localizations.

Authors:  Ceon Ramon; Paul H Schimpf; Jens Haueisen
Journal:  Biomed Eng Online       Date:  2006-02-08       Impact factor: 2.819

9.  A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources.

Authors:  Maria Carla Piastra; Andreas Nüßing; Johannes Vorwerk; Maureen Clerc; Christian Engwer; Carsten H Wolters
Journal:  Hum Brain Mapp       Date:  2020-11-06       Impact factor: 5.399

  9 in total

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