ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.

Electrical stimulation and block of peripheral nerves hold great promise for treatment of a range of disease and disorders, but promising results from preclinical studies often fail to translate to successful clinical therapies. Differences in neural anatomy across species require different electrod...

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Autores principales:	Eric D Musselman, Jake E Cariello, Warren M Grill, Nicole A Pelot
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/7ad87ab1162144febdd561b4298aac3e
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spelling	oai:doaj.org-article:7ad87ab1162144febdd561b4298aac3e2021-12-02T19:57:50ZASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.1553-734X1553-735810.1371/journal.pcbi.1009285https://doaj.org/article/7ad87ab1162144febdd561b4298aac3e2021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009285https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Electrical stimulation and block of peripheral nerves hold great promise for treatment of a range of disease and disorders, but promising results from preclinical studies often fail to translate to successful clinical therapies. Differences in neural anatomy across species require different electrodes and stimulation parameters to achieve equivalent nerve responses, and accounting for the consequences of these factors is difficult. We describe the implementation, validation, and application of a standardized, modular, and scalable computational modeling pipeline for biophysical simulations of electrical activation and block of nerve fibers within peripheral nerves. The ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds) pipeline provides a suite of built-in capabilities for user control over the entire workflow, including libraries for parts to assemble electrodes, electrical properties of biological materials, previously published fiber models, and common stimulation waveforms. We validated the accuracy of ASCENT calculations, verified usability in beta release, and provide several compelling examples of ASCENT-implemented models. ASCENT will enable the reproducibility of simulation data, and it will be used as a component of integrated simulations with other models (e.g., organ system models), to interpret experimental results, and to design experimental and clinical interventions for the advancement of peripheral nerve stimulation therapies.Eric D MusselmanJake E CarielloWarren M GrillNicole A PelotPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1009285 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Eric D Musselman Jake E Cariello Warren M Grill Nicole A Pelot ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
description	Electrical stimulation and block of peripheral nerves hold great promise for treatment of a range of disease and disorders, but promising results from preclinical studies often fail to translate to successful clinical therapies. Differences in neural anatomy across species require different electrodes and stimulation parameters to achieve equivalent nerve responses, and accounting for the consequences of these factors is difficult. We describe the implementation, validation, and application of a standardized, modular, and scalable computational modeling pipeline for biophysical simulations of electrical activation and block of nerve fibers within peripheral nerves. The ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds) pipeline provides a suite of built-in capabilities for user control over the entire workflow, including libraries for parts to assemble electrodes, electrical properties of biological materials, previously published fiber models, and common stimulation waveforms. We validated the accuracy of ASCENT calculations, verified usability in beta release, and provide several compelling examples of ASCENT-implemented models. ASCENT will enable the reproducibility of simulation data, and it will be used as a component of integrated simulations with other models (e.g., organ system models), to interpret experimental results, and to design experimental and clinical interventions for the advancement of peripheral nerve stimulation therapies.
format	article
author	Eric D Musselman Jake E Cariello Warren M Grill Nicole A Pelot
author_facet	Eric D Musselman Jake E Cariello Warren M Grill Nicole A Pelot
author_sort	Eric D Musselman
title	ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
title_short	ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
title_full	ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
title_fullStr	ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
title_full_unstemmed	ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
title_sort	ascent (automated simulations to characterize electrical nerve thresholds): a pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/7ad87ab1162144febdd561b4298aac3e
work_keys_str_mv	AT ericdmusselman ascentautomatedsimulationstocharacterizeelectricalnervethresholdsapipelineforsamplespecificcomputationalmodelingofelectricalstimulationofperipheralnerves AT jakeecariello ascentautomatedsimulationstocharacterizeelectricalnervethresholdsapipelineforsamplespecificcomputationalmodelingofelectricalstimulationofperipheralnerves AT warrenmgrill ascentautomatedsimulationstocharacterizeelectricalnervethresholdsapipelineforsamplespecificcomputationalmodelingofelectricalstimulationofperipheralnerves AT nicoleapelot ascentautomatedsimulationstocharacterizeelectricalnervethresholdsapipelineforsamplespecificcomputationalmodelingofelectricalstimulationofperipheralnerves
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ASCENT (Automated Simulations to Characterize Electrical Nerve Thresholds): A pipeline for sample-specific computational modeling of electrical stimulation of peripheral nerves.

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