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Corrected Four-Sphere Head Model for EEG Signals
The EEG signal is generated by electrical brain cell activity, often described in terms of current dipoles. By applying EEG forward models we can compute the contribution from such dipoles to the electrical potential recorded by EEG electrodes. Forward models are key both for generating understandin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651266/ https://www.ncbi.nlm.nih.gov/pubmed/29093671 http://dx.doi.org/10.3389/fnhum.2017.00490 |
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author | Næss, Solveig Chintaluri, Chaitanya Ness, Torbjørn V. Dale, Anders M. Einevoll, Gaute T. Wójcik, Daniel K. |
author_facet | Næss, Solveig Chintaluri, Chaitanya Ness, Torbjørn V. Dale, Anders M. Einevoll, Gaute T. Wójcik, Daniel K. |
author_sort | Næss, Solveig |
collection | PubMed |
description | The EEG signal is generated by electrical brain cell activity, often described in terms of current dipoles. By applying EEG forward models we can compute the contribution from such dipoles to the electrical potential recorded by EEG electrodes. Forward models are key both for generating understanding and intuition about the neural origin of EEG signals as well as inverse modeling, i.e., the estimation of the underlying dipole sources from recorded EEG signals. Different models of varying complexity and biological detail are used in the field. One such analytical model is the four-sphere model which assumes a four-layered spherical head where the layers represent brain tissue, cerebrospinal fluid (CSF), skull, and scalp, respectively. While conceptually clear, the mathematical expression for the electric potentials in the four-sphere model is cumbersome, and we observed that the formulas presented in the literature contain errors. Here, we derive and present the correct analytical formulas with a detailed derivation. A useful application of the analytical four-sphere model is that it can serve as ground truth to test the accuracy of numerical schemes such as the Finite Element Method (FEM). We performed FEM simulations of the four-sphere head model and showed that they were consistent with the corrected analytical formulas. For future reference we provide scripts for computing EEG potentials with the four-sphere model, both by means of the correct analytical formulas and numerical FEM simulations. |
format | Online Article Text |
id | pubmed-5651266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56512662017-11-01 Corrected Four-Sphere Head Model for EEG Signals Næss, Solveig Chintaluri, Chaitanya Ness, Torbjørn V. Dale, Anders M. Einevoll, Gaute T. Wójcik, Daniel K. Front Hum Neurosci Neuroscience The EEG signal is generated by electrical brain cell activity, often described in terms of current dipoles. By applying EEG forward models we can compute the contribution from such dipoles to the electrical potential recorded by EEG electrodes. Forward models are key both for generating understanding and intuition about the neural origin of EEG signals as well as inverse modeling, i.e., the estimation of the underlying dipole sources from recorded EEG signals. Different models of varying complexity and biological detail are used in the field. One such analytical model is the four-sphere model which assumes a four-layered spherical head where the layers represent brain tissue, cerebrospinal fluid (CSF), skull, and scalp, respectively. While conceptually clear, the mathematical expression for the electric potentials in the four-sphere model is cumbersome, and we observed that the formulas presented in the literature contain errors. Here, we derive and present the correct analytical formulas with a detailed derivation. A useful application of the analytical four-sphere model is that it can serve as ground truth to test the accuracy of numerical schemes such as the Finite Element Method (FEM). We performed FEM simulations of the four-sphere head model and showed that they were consistent with the corrected analytical formulas. For future reference we provide scripts for computing EEG potentials with the four-sphere model, both by means of the correct analytical formulas and numerical FEM simulations. Frontiers Media S.A. 2017-10-18 /pmc/articles/PMC5651266/ /pubmed/29093671 http://dx.doi.org/10.3389/fnhum.2017.00490 Text en Copyright © 2017 Næss, Chintaluri, Ness, Dale, Einevoll and Wójcik. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Næss, Solveig Chintaluri, Chaitanya Ness, Torbjørn V. Dale, Anders M. Einevoll, Gaute T. Wójcik, Daniel K. Corrected Four-Sphere Head Model for EEG Signals |
title | Corrected Four-Sphere Head Model for EEG Signals |
title_full | Corrected Four-Sphere Head Model for EEG Signals |
title_fullStr | Corrected Four-Sphere Head Model for EEG Signals |
title_full_unstemmed | Corrected Four-Sphere Head Model for EEG Signals |
title_short | Corrected Four-Sphere Head Model for EEG Signals |
title_sort | corrected four-sphere head model for eeg signals |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651266/ https://www.ncbi.nlm.nih.gov/pubmed/29093671 http://dx.doi.org/10.3389/fnhum.2017.00490 |
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