Evidence map›Paper›PMID 41385504›Full record

ArticlePLoS computational biology2025

PyFibers: An open-source NEURON-Python package to simulate responses of model nerve fibers to electrical stimulation.

Daniel P Marshall, Elie S Farah, Eric D Musselman, Nicole A Pelot, Warren M Grill

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

5 authors.

Daniel P MarshallDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0003-4439-4542
Elie S FarahDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Eric D MusselmanDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Nicole A PelotDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0003-2844-0190
Warren M GrillDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0001-5240-6588

Funding

RECONSTRUCTING VAGAL ANATOMY75N98022C00018 · OD · CASE WESTERN RESERVE UNIVERSITY · PI SHOFFSTALL, ANDREW · 2022 to 2024
$15.8M
Modeling Activation and Block of Autonomic Nerves for Analysis and DesignOT2OD025340 · OD · DUKE UNIVERSITY · PI GRILL, WARREN M. · 2017 to 2021
$5.9M
Optimized Electrical Block of Peripheral NervesR01NS126376 · NINDS · DUKE UNIVERSITY · PI Warren M. Grill · 2023 to 2026
$2.0M
NIH HHS 75N98022C00018NIH HHS OT2 OD025340NINDS NIH HHS R01 NS126376
6 · The paper itself

Abstract

Computational modeling of peripheral nerve fibers is a key tool for designing improved neuromodulation therapies. The NEURON software is commonly used to create biophysical simulations of nerve fibers, often in the outdated HOC language. Whether written in HOC or Python, implementing fiber simulations involves a steep learning curve and requires a large amount of standard, boilerplate code that is typically written anew for each project. There is a need for a code package that standardizes and simplifies the creation of model fibers, the execution of simulations of electrical stimulation, and the analysis of the resulting data. We created PyFibers, a NEURON-Python package that provides tools for accomplishing all these tasks and supports the development of new fiber models and stimulation protocols. PyFibers includes 11 fiber models from prior publications under a shared framework, and we validated each model's implementation in PyFibers against the original results. Our open-source tool simplifies and standardizes computational modeling of peripheral nerve fiber responses to electrical stimulation, providing a platform for the development of novel therapies using electrical stimulation, block, and recording.

Indexed as

Electric StimulationModels, NeurologicalNerve FibersSoftwareAnimalsComputational BiologyComputer SimulationHumans

Identifiers

PMID41385504
PMCPMC12700385

What OpenQuestion holds

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Registered trials

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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.