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Variation in Reported Human Head Tissue Electrical Conductivity Values
Electromagnetic source characterisation requires accurate volume conductor models representing head geometry and the electrical conductivity field. Head tissue conductivity is often assumed from previous literature, however, despite extensive research, measurements are inconsistent. A meta-analysis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708046/ https://www.ncbi.nlm.nih.gov/pubmed/31054104 http://dx.doi.org/10.1007/s10548-019-00710-2 |
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author | McCann, Hannah Pisano, Giampaolo Beltrachini, Leandro |
author_facet | McCann, Hannah Pisano, Giampaolo Beltrachini, Leandro |
author_sort | McCann, Hannah |
collection | PubMed |
description | Electromagnetic source characterisation requires accurate volume conductor models representing head geometry and the electrical conductivity field. Head tissue conductivity is often assumed from previous literature, however, despite extensive research, measurements are inconsistent. A meta-analysis of reported human head electrical conductivity values was therefore conducted to determine significant variation and subsequent influential factors. Of 3121 identified publications spanning three databases, 56 papers were included in data extraction. Conductivity values were categorised according to tissue type, and recorded alongside methodology, measurement condition, current frequency, tissue temperature, participant pathology and age. We found variation in electrical conductivity of the whole-skull, the spongiform layer of the skull, isotropic, perpendicularly- and parallelly-oriented white matter (WM) and the brain-to-skull-conductivity ratio (BSCR) could be significantly attributed to a combination of differences in methodology and demographics. This large variation should be acknowledged, and care should be taken when creating volume conductor models, ideally constructing them on an individual basis, rather than assuming them from the literature. When personalised models are unavailable, it is suggested weighted average means from the current meta-analysis are used. Assigning conductivity as: 0.41 S/m for the scalp, 0.02 S/m for the whole skull, or when better modelled as a three-layer skull 0.048 S/m for the spongiform layer, 0.007 S/m for the inner compact and 0.005 S/m for the outer compact, as well as 1.71 S/m for the CSF, 0.47 S/m for the grey matter, 0.22 S/m for WM and 50.4 for the BSCR. |
format | Online Article Text |
id | pubmed-6708046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-67080462019-09-06 Variation in Reported Human Head Tissue Electrical Conductivity Values McCann, Hannah Pisano, Giampaolo Beltrachini, Leandro Brain Topogr Original Paper Electromagnetic source characterisation requires accurate volume conductor models representing head geometry and the electrical conductivity field. Head tissue conductivity is often assumed from previous literature, however, despite extensive research, measurements are inconsistent. A meta-analysis of reported human head electrical conductivity values was therefore conducted to determine significant variation and subsequent influential factors. Of 3121 identified publications spanning three databases, 56 papers were included in data extraction. Conductivity values were categorised according to tissue type, and recorded alongside methodology, measurement condition, current frequency, tissue temperature, participant pathology and age. We found variation in electrical conductivity of the whole-skull, the spongiform layer of the skull, isotropic, perpendicularly- and parallelly-oriented white matter (WM) and the brain-to-skull-conductivity ratio (BSCR) could be significantly attributed to a combination of differences in methodology and demographics. This large variation should be acknowledged, and care should be taken when creating volume conductor models, ideally constructing them on an individual basis, rather than assuming them from the literature. When personalised models are unavailable, it is suggested weighted average means from the current meta-analysis are used. Assigning conductivity as: 0.41 S/m for the scalp, 0.02 S/m for the whole skull, or when better modelled as a three-layer skull 0.048 S/m for the spongiform layer, 0.007 S/m for the inner compact and 0.005 S/m for the outer compact, as well as 1.71 S/m for the CSF, 0.47 S/m for the grey matter, 0.22 S/m for WM and 50.4 for the BSCR. Springer US 2019-05-03 2019 /pmc/articles/PMC6708046/ /pubmed/31054104 http://dx.doi.org/10.1007/s10548-019-00710-2 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper McCann, Hannah Pisano, Giampaolo Beltrachini, Leandro Variation in Reported Human Head Tissue Electrical Conductivity Values |
title | Variation in Reported Human Head Tissue Electrical Conductivity Values |
title_full | Variation in Reported Human Head Tissue Electrical Conductivity Values |
title_fullStr | Variation in Reported Human Head Tissue Electrical Conductivity Values |
title_full_unstemmed | Variation in Reported Human Head Tissue Electrical Conductivity Values |
title_short | Variation in Reported Human Head Tissue Electrical Conductivity Values |
title_sort | variation in reported human head tissue electrical conductivity values |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708046/ https://www.ncbi.nlm.nih.gov/pubmed/31054104 http://dx.doi.org/10.1007/s10548-019-00710-2 |
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