Evidence map›Paper›PMID 38307915›Full record

ArticleScientific reports2024

Machine learning enables non-Gaussian investigation of changes to peripheral nerves related to electrical stimulation.

Andres W Morales, Jinze Du, David J Warren, Eduardo Fernández-Jover, Gema Martinez-Navarrete, Jean-Marie C Bouteiller, Douglas C McCreery, Gianluca Lazzi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 2 countries.

Andres W MoralesDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA. andresmo@usc.edu.
Jinze DuDepartment of Electrical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
David J WarrenDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Eduardo Fernández-JoverInstitute of Bioengineering, Elche and CIBER-BBN, University Miguel Hernandez, Elche, Spain.
Gema Martinez-NavarreteInstitute of Bioengineering, Elche and CIBER-BBN, University Miguel Hernandez, Elche, Spain.
Jean-Marie C BouteillerDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Douglas C McCreeryHuntington Medical Research Institute, Pasadena, CA, 91105, USA.
Gianluca LazziDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
University of Southern California · USBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ESHuntington Medical Research Institutes · USUniversitat de Miguel Hernández d'Elx · ESUniversity of Utah · US

Funding

Supplement to CRCNS US-Spain: Computational Modeling of PNS StimulationR01EB029271 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LAZZI, GIANLUCA · 2019 to 2021
$1.2M
NIBIB NIH HHS R01 EB029271NIH HHS R01EB029271
6 · The paper itself

Abstract

Electrical stimulation of the peripheral nervous system (PNS) is becoming increasingly important for the therapeutic treatment of numerous disorders. Thus, as peripheral nerves are increasingly the target of electrical stimulation, it is critical to determine how, and when, electrical stimulation results in anatomical changes in neural tissue. We introduce here a convolutional neural network and support vector machines for cell segmentation and analysis of histological samples of the sciatic nerve of rats stimulated with varying current intensities. We describe the methodologies and present results that highlight the validity of the approach: machine learning enabled highly efficient nerve measurement collection, while multivariate analysis revealed notable changes to nerves' anatomy, even when subjected to levels of stimulation thought to be safe according to the Shannon current limits.

Indexed as

Peripheral NervesSciatic NerveAnimalsElectric StimulationMachine LearningRats

Identifiers

PMID38307915
PMCPMC10837107
OpenAlexW4391472892

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.