Literature DB >> 2424731

Magnetic localisation of intracranial dipoles: simulation with a physical model.

H Weinberg, P Brickett, F Coolsma, M Baff.   

Abstract

Current dipoles energized by isolated sources were located in known positions inside a human skull filled with an electrically conductive medium. Maps of the measured electrical and magnetic fields confirmed the predicted relationships between those fields for both single and multiple dipoles. Two methods of dipole localisation were compared: the peak-location method which used only the locations of the maximum and minimum recorded values, and a least-squares iterative method which found the parameters for a dipole such that the sum of squared differences between the recorded and predicted data was minimized. Also, in an attempt to account for some of the error due to the non-sphericity of the head, the measured distance from the centre of the skull to each recording position was used in the dipole calculations. This last technique resulted in the smallest 3-dimensional location error (averaging 3.5 mm) for the least-squares method, even when no recording positions were near the actual field extrema and the peak-location method therefore produced much greater error. Also investigated were combinations of two dipoles for which the magnetic field maps appeared similar to those for a single dipole and comparisons were made to determine how well single and double dipole models could account for the recorded data.

Entities:  

Mesh:

Year:  1986        PMID: 2424731     DOI: 10.1016/0013-4694(86)90109-4

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


  15 in total

1.  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

2.  Neuroelectromagnetic forward head modeling toolbox.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  J Neurosci Methods       Date:  2010-05-08       Impact factor: 2.390

3.  Improved accuracy of MEG localization in the temporal region with inclusion of volume current effects.

Authors:  D F Rose; E Ducla-Soares; S Sato
Journal:  Brain Topogr       Date:  1989       Impact factor: 3.020

4.  Functional imaging of brain responses to repetitive sensory stimulation: sources estimated from EEG and SPECT.

Authors:  H Weinberg; B Johnson; P Cohen; D Crisp; A Robertson
Journal:  Brain Topogr       Date:  1989 Fall-Winter       Impact factor: 3.020

5.  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

Review 6.  EEG versus MEG localization accuracy: theory and experiment.

Authors:  D Cohen; B N Cuffin
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

7.  Neuromagnetic fields accompanying unilateral finger movements: pre-movement and movement-evoked fields.

Authors:  D Cheyne; H Weinberg
Journal:  Exp Brain Res       Date:  1989       Impact factor: 1.972

8.  Spike dipole analysis using SEP dipole as a marker.

Authors:  H Yoshinaga; M Sato; E Oka; S Ohtahara
Journal:  Brain Topogr       Date:  1995       Impact factor: 3.020

9.  Artificial neural networks for source localization in the human brain.

Authors:  U R Abeyratne; Y Kinouchi; H Oki; J Okada; F Shichijo; K Matsumoto
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

Review 10.  Advantages and limitations of magnetic source imaging.

Authors:  S J Williamson; Z L Lü; D Karron; L Kaufman
Journal:  Brain Topogr       Date:  1991       Impact factor: 3.020

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