Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment
In the last two decades, motor cortex stimulation has been recognized as a valuable alternative to pharmacological therapy for the treatment of neuropathic pain. Although this technique started to be used in clinical studies, the debate about the optimal settings that enhance its effectiveness witho...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937624/ https://www.ncbi.nlm.nih.gov/pubmed/29849746 http://dx.doi.org/10.1155/2018/1056132 |
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author | Fiocchi, S. Chiaramello, E. Ravazzani, P. Parazzini, M. |
author_facet | Fiocchi, S. Chiaramello, E. Ravazzani, P. Parazzini, M. |
author_sort | Fiocchi, S. |
collection | PubMed |
description | In the last two decades, motor cortex stimulation has been recognized as a valuable alternative to pharmacological therapy for the treatment of neuropathic pain. Although this technique started to be used in clinical studies, the debate about the optimal settings that enhance its effectiveness without inducing tissue damage is still open. To this purpose, computational approaches applied to realistic human models aimed to assess the current density distribution within the cortex can be a powerful tool to provide a basic understanding of that technique and could help the design of clinical experimental protocols. This study aims to evaluate, by computational techniques, the current density distributions induced in the brain by a realistic electrode array for cortical stimulation. The simulation outcomes, summarized by specific metrics quantifying the efficacy of the stimulation (i.e., the effective volume and the effective depth of penetration) over two cortical targets, were evaluated by varying the interelectrode distance, the stimulus characteristics (amplitude and frequency), and the anatomical human model. The results suggest that all these parameters somehow affect the current density distributions and have to be therefore taken into account during the planning of effective electrical cortical stimulation strategies. In particular, our calculations show that (1) the most effective interelectrode distance equals 2 cm; (2) increasing voltage amplitudes increases the effective volume; (3) increasing frequencies allow enlarging the effective volume; and (4) the effective depth of penetration is strictly linked to both the anatomy of the subject and the electrode placement. |
format | Online Article Text |
id | pubmed-5937624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-59376242018-05-30 Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment Fiocchi, S. Chiaramello, E. Ravazzani, P. Parazzini, M. Comput Math Methods Med Research Article In the last two decades, motor cortex stimulation has been recognized as a valuable alternative to pharmacological therapy for the treatment of neuropathic pain. Although this technique started to be used in clinical studies, the debate about the optimal settings that enhance its effectiveness without inducing tissue damage is still open. To this purpose, computational approaches applied to realistic human models aimed to assess the current density distribution within the cortex can be a powerful tool to provide a basic understanding of that technique and could help the design of clinical experimental protocols. This study aims to evaluate, by computational techniques, the current density distributions induced in the brain by a realistic electrode array for cortical stimulation. The simulation outcomes, summarized by specific metrics quantifying the efficacy of the stimulation (i.e., the effective volume and the effective depth of penetration) over two cortical targets, were evaluated by varying the interelectrode distance, the stimulus characteristics (amplitude and frequency), and the anatomical human model. The results suggest that all these parameters somehow affect the current density distributions and have to be therefore taken into account during the planning of effective electrical cortical stimulation strategies. In particular, our calculations show that (1) the most effective interelectrode distance equals 2 cm; (2) increasing voltage amplitudes increases the effective volume; (3) increasing frequencies allow enlarging the effective volume; and (4) the effective depth of penetration is strictly linked to both the anatomy of the subject and the electrode placement. Hindawi 2018-04-23 /pmc/articles/PMC5937624/ /pubmed/29849746 http://dx.doi.org/10.1155/2018/1056132 Text en Copyright © 2018 S. Fiocchi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Fiocchi, S. Chiaramello, E. Ravazzani, P. Parazzini, M. Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment |
title | Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment |
title_full | Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment |
title_fullStr | Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment |
title_full_unstemmed | Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment |
title_short | Modelling of the Current Density Distributions during Cortical Electric Stimulation for Neuropathic Pain Treatment |
title_sort | modelling of the current density distributions during cortical electric stimulation for neuropathic pain treatment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937624/ https://www.ncbi.nlm.nih.gov/pubmed/29849746 http://dx.doi.org/10.1155/2018/1056132 |
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