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Enhanced tES and tDCS computational models by meninges emulation

OBJECTIVE: Understanding how current reaches the brain during transcranial Electrical Stimulation (tES) underpins efforts to rationalize outcomes and optimize interventions. To this end, computational models of current flow relate applied dose to brain electric field. Conventional tES modeling consi...

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Autores principales: Jiang, Jimmy, Truong, Dennis Q., Esmaeilpour, Zeinab, Huang, Yu, Badran, Bashar W., Bikson, Marom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254922/
https://www.ncbi.nlm.nih.gov/pubmed/31689695
http://dx.doi.org/10.1088/1741-2552/ab549d
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author Jiang, Jimmy
Truong, Dennis Q.
Esmaeilpour, Zeinab
Huang, Yu
Badran, Bashar W.
Bikson, Marom
author_facet Jiang, Jimmy
Truong, Dennis Q.
Esmaeilpour, Zeinab
Huang, Yu
Badran, Bashar W.
Bikson, Marom
author_sort Jiang, Jimmy
collection PubMed
description OBJECTIVE: Understanding how current reaches the brain during transcranial Electrical Stimulation (tES) underpins efforts to rationalize outcomes and optimize interventions. To this end, computational models of current flow relate applied dose to brain electric field. Conventional tES modeling considers distinct tissues like scalp, skull, cerebrospinal fluid (CSF), gray matter and white matter. The properties of highly conductive CSF are especially important. However, modeling the space between skull and brain as entirely CSF is not an accurate representation of anatomy. The space conventionally modeled as CSF is approximately half meninges (dura, arachnoid, and pia) with lower conductivity. However, the resolution required to describe individual meningeal layers is computationally restrictive in an MRI-derived head model. Emulating the effect of meninges through CSF conductivity modification could improve accuracy with minimal cost. APPROACH: Models with meningeal layers were developed in a concentric sphere head model. Then, in a model with only CSF between skull and brain, CSF conductivity was optimized to emulate the effect of meningeal layers on cortical electric field for multiple electrode positions. This emulated conductivity was applied to MRI-derived models. MAIN RESULTS: Compared to a model with conventional CSF conductivity (1.65 S/m), emulated CSF conductivity (0.85 S/m) produced voltage fields better correlated with intracranial recordings from epilepsy patients. SIGNIFICANCE: Conventional tES mpodels have been validated using intracranial recording. Residual errors may nonetheless impact model utility. Because CSF is so conductive to current flow, misrepresentation of the skull-brain interface as entirely CSF is not realistic for tES modeling. Updating the conventional model with a CSF conductivity emulating the effect of the meninges enhances modeling accuracy without increasing model complexity. This allows existing modeling pipelines to be leveraged with a simple conductivity change. Using 0.85 S/m emulated CSF conductivity is recommended as the new standard in non-invasive brain stimulation modeling.
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spelling pubmed-72549222020-05-28 Enhanced tES and tDCS computational models by meninges emulation Jiang, Jimmy Truong, Dennis Q. Esmaeilpour, Zeinab Huang, Yu Badran, Bashar W. Bikson, Marom J Neural Eng Article OBJECTIVE: Understanding how current reaches the brain during transcranial Electrical Stimulation (tES) underpins efforts to rationalize outcomes and optimize interventions. To this end, computational models of current flow relate applied dose to brain electric field. Conventional tES modeling considers distinct tissues like scalp, skull, cerebrospinal fluid (CSF), gray matter and white matter. The properties of highly conductive CSF are especially important. However, modeling the space between skull and brain as entirely CSF is not an accurate representation of anatomy. The space conventionally modeled as CSF is approximately half meninges (dura, arachnoid, and pia) with lower conductivity. However, the resolution required to describe individual meningeal layers is computationally restrictive in an MRI-derived head model. Emulating the effect of meninges through CSF conductivity modification could improve accuracy with minimal cost. APPROACH: Models with meningeal layers were developed in a concentric sphere head model. Then, in a model with only CSF between skull and brain, CSF conductivity was optimized to emulate the effect of meningeal layers on cortical electric field for multiple electrode positions. This emulated conductivity was applied to MRI-derived models. MAIN RESULTS: Compared to a model with conventional CSF conductivity (1.65 S/m), emulated CSF conductivity (0.85 S/m) produced voltage fields better correlated with intracranial recordings from epilepsy patients. SIGNIFICANCE: Conventional tES mpodels have been validated using intracranial recording. Residual errors may nonetheless impact model utility. Because CSF is so conductive to current flow, misrepresentation of the skull-brain interface as entirely CSF is not realistic for tES modeling. Updating the conventional model with a CSF conductivity emulating the effect of the meninges enhances modeling accuracy without increasing model complexity. This allows existing modeling pipelines to be leveraged with a simple conductivity change. Using 0.85 S/m emulated CSF conductivity is recommended as the new standard in non-invasive brain stimulation modeling. 2020-01-14 /pmc/articles/PMC7254922/ /pubmed/31689695 http://dx.doi.org/10.1088/1741-2552/ab549d Text en https://creativecommons.org/licenses/by-nc-nd/3.0 After the embargo period, everyone is permitted to use copy and redistribute this article for non-commercial purposes only, provided that they adhere to all the terms of the licence https://creativecommons.org/licenses/by-nc-nd/3.0
spellingShingle Article
Jiang, Jimmy
Truong, Dennis Q.
Esmaeilpour, Zeinab
Huang, Yu
Badran, Bashar W.
Bikson, Marom
Enhanced tES and tDCS computational models by meninges emulation
title Enhanced tES and tDCS computational models by meninges emulation
title_full Enhanced tES and tDCS computational models by meninges emulation
title_fullStr Enhanced tES and tDCS computational models by meninges emulation
title_full_unstemmed Enhanced tES and tDCS computational models by meninges emulation
title_short Enhanced tES and tDCS computational models by meninges emulation
title_sort enhanced tes and tdcs computational models by meninges emulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254922/
https://www.ncbi.nlm.nih.gov/pubmed/31689695
http://dx.doi.org/10.1088/1741-2552/ab549d
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