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Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution
Forward solutions with different levels of complexity are employed for localization of current generators, which are responsible for the electric and magnetic fields measured from the human brain. The influence of brain anisotropy on the forward solution is poorly understood. The goal of this study...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer US
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912982/ https://www.ncbi.nlm.nih.gov/pubmed/20063051 http://dx.doi.org/10.1007/s10827-009-0205-z |
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author | Bangera, Nitin B. Schomer, Donald L. Dehghani, Nima Ulbert, Istvan Cash, Sydney Papavasiliou, Steve Eisenberg, Solomon R. Dale, Anders M. Halgren, Eric |
author_facet | Bangera, Nitin B. Schomer, Donald L. Dehghani, Nima Ulbert, Istvan Cash, Sydney Papavasiliou, Steve Eisenberg, Solomon R. Dale, Anders M. Halgren, Eric |
author_sort | Bangera, Nitin B. |
collection | PubMed |
description | Forward solutions with different levels of complexity are employed for localization of current generators, which are responsible for the electric and magnetic fields measured from the human brain. The influence of brain anisotropy on the forward solution is poorly understood. The goal of this study is to validate an anisotropic model for the intracranial electric forward solution by comparing with the directly measured ‘gold standard’. Dipolar sources are created at known locations in the brain and intracranial electroencephalogram (EEG) is recorded simultaneously. Isotropic models with increasing level of complexity are generated along with anisotropic models based on Diffusion tensor imaging (DTI). A Finite Element Method based forward solution is calculated and validated using the measured data. Major findings are (1) An anisotropic model with a linear scaling between the eigenvalues of the electrical conductivity tensor and water self-diffusion tensor in brain tissue is validated. The greatest improvement was obtained when the stimulation site is close to a region of high anisotropy. The model with a global anisotropic ratio of 10:1 between the eigenvalues (parallel: tangential to the fiber direction) has the worst performance of all the anisotropic models. (2) Inclusion of cerebrospinal fluid as well as brain anisotropy in the forward model is necessary for an accurate description of the electric field inside the skull. The results indicate that an anisotropic model based on the DTI can be constructed non-invasively and shows an improved performance when compared to the isotropic models for the calculation of the intracranial EEG forward solution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10827-009-0205-z) contains supplementary material, which is available to authorized users. |
format | Text |
id | pubmed-2912982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-29129822010-12-01 Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution Bangera, Nitin B. Schomer, Donald L. Dehghani, Nima Ulbert, Istvan Cash, Sydney Papavasiliou, Steve Eisenberg, Solomon R. Dale, Anders M. Halgren, Eric J Comput Neurosci Article Forward solutions with different levels of complexity are employed for localization of current generators, which are responsible for the electric and magnetic fields measured from the human brain. The influence of brain anisotropy on the forward solution is poorly understood. The goal of this study is to validate an anisotropic model for the intracranial electric forward solution by comparing with the directly measured ‘gold standard’. Dipolar sources are created at known locations in the brain and intracranial electroencephalogram (EEG) is recorded simultaneously. Isotropic models with increasing level of complexity are generated along with anisotropic models based on Diffusion tensor imaging (DTI). A Finite Element Method based forward solution is calculated and validated using the measured data. Major findings are (1) An anisotropic model with a linear scaling between the eigenvalues of the electrical conductivity tensor and water self-diffusion tensor in brain tissue is validated. The greatest improvement was obtained when the stimulation site is close to a region of high anisotropy. The model with a global anisotropic ratio of 10:1 between the eigenvalues (parallel: tangential to the fiber direction) has the worst performance of all the anisotropic models. (2) Inclusion of cerebrospinal fluid as well as brain anisotropy in the forward model is necessary for an accurate description of the electric field inside the skull. The results indicate that an anisotropic model based on the DTI can be constructed non-invasively and shows an improved performance when compared to the isotropic models for the calculation of the intracranial EEG forward solution. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10827-009-0205-z) contains supplementary material, which is available to authorized users. Springer US 2010-01-09 2010 /pmc/articles/PMC2912982/ /pubmed/20063051 http://dx.doi.org/10.1007/s10827-009-0205-z Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Bangera, Nitin B. Schomer, Donald L. Dehghani, Nima Ulbert, Istvan Cash, Sydney Papavasiliou, Steve Eisenberg, Solomon R. Dale, Anders M. Halgren, Eric Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution |
title | Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution |
title_full | Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution |
title_fullStr | Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution |
title_full_unstemmed | Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution |
title_short | Experimental validation of the influence of white matter anisotropy on the intracranial EEG forward solution |
title_sort | experimental validation of the influence of white matter anisotropy on the intracranial eeg forward solution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912982/ https://www.ncbi.nlm.nih.gov/pubmed/20063051 http://dx.doi.org/10.1007/s10827-009-0205-z |
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