Evidence map›Paper›PMID 34492004›Full record

ArticlePLoS computational biology2021

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

Eric D Musselman, Jake E Cariello, Warren M Grill, Nicole A Pelot

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 65 citations in OpenAlex.

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  15. Computational modeling of autonomic nerve stimulation: Vagus et al.Current opinion in biomedical engineering · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Eric D MusselmanDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-5295-7267
Jake E CarielloDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-7288-9943
Warren M GrillDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-5240-6588
Nicole A PelotDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0003-2844-0190
Duke University · US

Funding

Modeling Activation and Block of Autonomic Nerves for Analysis and DesignOT2OD025340 · OD · DUKE UNIVERSITY · PI GRILL, WARREN M. · 2017 to 2021
$5.9M
NIH HHS OT2 OD025340
6 · The paper itself

Abstract

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.

Indexed as

Electric StimulationAutomationComputational BiologyElectrodesPeripheral NervesReproducibility of Results

Identifiers

PMID34492004
PMCPMC8423288
OpenAlexW3197217416

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.