Literature DB >> 2434313

On the magnetic field distribution generated by a dipolar current source situated in a realistically shaped compartment model of the head.

J W Meijs, F G Bosch, M J Peters, F H Lopes da Silva.   

Abstract

The magnetic field distribution around the head is simulated using a realistically shaped compartment model of the head. The model is based on magnetic resonance images. The 3 compartments describe the brain, the skull and the scalp. The source is represented by a current dipole situated in the visual cortex. The magnetic field distribution due to the source and that due to the volume currents are calculated separately. The simulations are carried out in order to ascertain which matrix of grid points is suitable as a measuring grid. The possibilities studied are grid points situated in a plane, in a surface which follows the contours of the head and in a sphere. This sphere is taken concentric to the sphere which is the best possible fit for the head. Taking into account the relative contribution of the volume currents and the possible accuracy in the positioning of the magnetic field detector, it can be concluded that the best choice is to measure the normal component of the magnetic field at points which are situated in the spherical surface. The results of this study also show that the magnetic field distribution based on a realistically shaped compartment model differs from that based on a compartment model consisting of concentric spheres. In the spherical model of the head no contribution of the volume currents to the component of the field normal to the sphere can be expected. The difference between the results obtained with these two volume conductor models increases with source depth.

Mesh:

Year:  1987        PMID: 2434313     DOI: 10.1016/0013-4694(87)90078-2

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  28 in total

1.  Sources on the anterior and posterior banks of the central sulcus identified from magnetic somatosensory evoked responses using multistart spatio-temporal localization.

Authors:  M X Huang; C Aine; L Davis; J Butman; R Christner; M Weisend; J Stephen; J Meyer; J Silveri; M Herman; R R Lee
Journal:  Hum Brain Mapp       Date:  2000-10       Impact factor: 5.038

2.  Fast realistic modeling in bioelectromagnetism using lead-field interpolation.

Authors:  B Yvert; A Crouzeix-Cheylus; J Pernier
Journal:  Hum Brain Mapp       Date:  2001-09       Impact factor: 5.038

3.  Monte Carlo simulation studies of EEG and MEG localization accuracy.

Authors:  Arthur K Liu; Anders M Dale; John W Belliveau
Journal:  Hum Brain Mapp       Date:  2002-05       Impact factor: 5.038

4.  Spatiotemporal maps of brain activity underlying word generation and their modification during repetition priming.

Authors:  R P Dhond; R L Buckner; A M Dale; K Marinkovic; E Halgren
Journal:  J Neurosci       Date:  2001-05-15       Impact factor: 6.167

5.  Temporal dynamics of ipsilateral and contralateral motor activity during voluntary finger movement.

Authors:  Ming-Xiong Huang; Deborah L Harrington; Kim M Paulson; Michael P Weisend; Roland R Lee
Journal:  Hum Brain Mapp       Date:  2004-09       Impact factor: 5.038

6.  Source cancellation profiles of electroencephalography and magnetoencephalography.

Authors:  Andrei Irimia; John Darrell Van Horn; Eric Halgren
Journal:  Neuroimage       Date:  2011-09-18       Impact factor: 6.556

7.  Spatiotemporal cortical dynamics underlying abstract and concrete word reading.

Authors:  Rupali P Dhond; Thomas Witzel; Anders M Dale; Eric Halgren
Journal:  Hum Brain Mapp       Date:  2007-04       Impact factor: 5.038

8.  A simple method for calculating the depth of EEG sources using minimum norm estimates (MNE).

Authors:  B Pinto; C Quintão Silva
Journal:  Med Biol Eng Comput       Date:  2007-06-23       Impact factor: 2.602

9.  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

10.  Variability of magnetoencephalographic sensor sensitivity measures as a function of age, brain volume and cortical area.

Authors:  Andrei Irimia; Matthew J Erhart; Timothy T Brown
Journal:  Clin Neurophysiol       Date:  2014-02-14       Impact factor: 3.708

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