Evidence map›Paper›PMID 42159941›Full record

ArticleMedical & biological engineering & computing2026

Muscle anisotropy influences the phrenic nerve activation threshold in non-invasive electrical stimulation.

Laureen Wegert, Marek Ziolkowski, Alexander Hunold, Tim Kalla, Irene Lange, Jens Haueisen

Abstract read
In one paragraph

Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Laureen WegertInstitute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany. laureen.wegert@tu-ilmenau.de.ORCID http://orcid.org/0009-0002-5608-1471
Marek ZiolkowskiInstitute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany.ORCID http://orcid.org/0000-0002-1598-6429
Alexander HunoldInstitute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany.ORCID http://orcid.org/0000-0001-7315-1115
Tim KallaInstitute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany.ORCID http://orcid.org/0009-0007-2901-5854
Irene LangeInstitute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany.ORCID http://orcid.org/0009-0000-1447-0634
Jens HaueisenInstitute of Biomedical Engineering and Informatics, TU Ilmenau, Ilmenau, Germany.ORCID http://orcid.org/0000-0003-3871-2890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElectric phrenic nerve stimulation is employed as a method of artificial ventilation, and computational models are utilized to assist in parameter selection. The majority of models assume isotropic tissue conductivity, although muscle tissue exhibits anisotropic properties. We aim to investigate the influence of anisotropic muscle conductivity on the results of phrenic nerve activation.

methodsTo calculate the potential distribution, we used an anatomically detailed multi-scale model for non-invasive electrical stimulation in the neck, incorporating realistic muscle fiber orientations. Phrenic nerve activation thresholds were calculated using the McIntyre-Richardson-Grill nerve model. Anisotropy ratios ranging from 1:1 to 1:15 (transversal:longitudinal conductivities) were analyzed at constant corresponding isotropic conductivity. Additional simulations assessed the influence of muscle volume and electrode placement and quantified possible co-activation of other nerves in the neck. MAIN

resultsIncreasing anisotropy ratios resulted in consistently higher phrenic nerve activation thresholds across all axon diameters (up to + 90%). Larger muscle volumes and electrode positions directly over a muscle further elevated the anisotropy effects. Considering anisotropic muscle conductivity increases the number of co-activated nerves.

conclusionHigh-resolution models incorporating anisotropic conductivity are recommended for research studies on phrenic nerve stimulation.

Indexed as

Electric StimulationMuscle, SkeletalPhrenic NerveAnisotropyComputer SimulationHumansAnisotropic conductivityArtificial respirationFinite element methodMultiscale modelingTranscutaneuous electrical nerve stimulation

Identifiers

PMID42159941
PMCPMC13269526

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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.