Evidence map›Paper›PMID 36797733›Full record

ArticleBioelectronic medicine2023

Measuring and modeling the effects of vagus nerve stimulation on heart rate and laryngeal muscles.

William J Huffman, Eric D Musselman, Nicole A Pelot, Warren M Grill

Open access · goldAbstract read
In one paragraph

Article in Bioelectronic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Computational modeling of autonomic nerve stimulation: Vagus et al.Current opinion in biomedical engineering · 2024
    Article
  7. Article
  8. 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

4 authors at 1 institution in 1 country.

William J HuffmanDepartment of Biomedical Engineering, Duke University, Fitzpatrick CIEMAS, Box 90281, Room 1427, 101 Science Drive, Durham, NC, 27708-0281, USA.ORCID https://orcid.org/0000-0001-8995-8829
Eric D MusselmanDepartment of Biomedical Engineering, Duke University, Fitzpatrick CIEMAS, Box 90281, Room 1427, 101 Science Drive, Durham, NC, 27708-0281, USA.ORCID https://orcid.org/0000-0001-5295-7267
Nicole A PelotDepartment of Biomedical Engineering, Duke University, Fitzpatrick CIEMAS, Box 90281, Room 1427, 101 Science Drive, Durham, NC, 27708-0281, USA.ORCID https://orcid.org/0000-0003-2844-0190
Warren M GrillDepartment of Biomedical Engineering, Duke University, Fitzpatrick CIEMAS, Box 90281, Room 1427, 101 Science Drive, Durham, NC, 27708-0281, USA. warren.grill@duke.edu.ORCID http://orcid.org/0000-0001-5240-6588
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
Karen L. Wrenn Trust N/ANIH HHS OT2 OD025340ODCDC CDC HHS OT2 OD025340
6 · The paper itself

Abstract

backgroundReduced heart rate (HR) during vagus nerve stimulation (VNS) is associated with therapy for heart failure, but stimulation frequency and amplitude are limited by patient tolerance. An understanding of physiological responses to parameter adjustments would allow differential control of therapeutic and side effects. To investigate selective modulation of the physiological responses to VNS, we quantified the effects and interactions of parameter selection on two physiological outcomes: one related to therapy (reduced HR) and one related to side effects (laryngeal muscle EMG).

methodsWe applied a broad range of stimulation parameters (mean pulse rates (MPR), intra-burst frequencies, and amplitudes) to the vagus nerve of anesthetized mice. We leveraged the in vivo recordings to parameterize and validate computational models of HR and laryngeal muscle activity across amplitudes and temporal patterns of VNS. We constructed a finite element model of excitation of fibers within the mouse cervical vagus nerve.

resultsHR decreased with increased amplitude, increased MPR, and decreased intra-burst frequency. EMG increased with increased MPR. Preferential HR effects over laryngeal EMG effects required combined adjustments of amplitude and MPR. The model of HR responses highlighted contributions of ganglionic filtering to VNS-evoked changes in HR at high stimulation frequencies. Overlap in activation thresholds between small and large modeled fibers was consistent with the overlap in dynamic ranges of related physiological measures (HR and EMG).

conclusionThe present study provides insights into physiological responses to VNS required for informed parameter adjustment to modulate selectively therapeutic effects and side effects.

Indexed as

Cardiac functionComputational modelsDynamic rangeLaryngeal muscleVagus nerve stimulation

Identifiers

PMID36797733
PMCPMC9936668
OpenAlexW4321015764

What Socratic holds

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LicenceCC BY
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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 Socratic graph.