Evidence map›Paper›PMID 37138728›Full record

ArticleFrontiers in medical technology2023

A combined cuff electrode array for organ-specific selective stimulation of vagus nerve enabled by Electrical Impedance Tomography.

Enrico Ravagli, Jeffrey Ardell, David Holder, Kirill Aristovich

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medical technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
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  4. Article
  5. Review
  6. Phosphotungstic Acid Staining to Visualize the Vagus Nerve Perineurium Using Micro-CT.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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 2 institutions in 2 countries.

Enrico RavagliDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Jeffrey ArdellDepartment of Medicine, Cardiac Arrhythmia Centre, University of California Los Angeles, Los Angeles, CA, United States.
David HolderDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Kirill AristovichDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
University College London · GBUniversity of California, Los Angeles · US

Funding

Enhanced quantitative imaging of compound action potentials in multi-fascicular peripheral nerve with fast neural Electrical Impedance Tomography enabled by 3D multi-plane softening bioelectronicsOT2OD026545 · OD · UNIVERSITY COLLEGE LONDON · PI HOLDER, DAVID S · 2018 to 2021
$1.6M
NIH HHS OT2 OD026545
6 · The paper itself

Abstract

Previously developed spatially-selective Vagus Nerve Stimulation (sVNS) allows the targeting of specific nerve fascicles through current steering in a multi-electrode nerve cuff but relies on a trial-and-error strategy to identify the relative orientation between electrodes and fascicles. Fast Neural Electrical Impedance Tomography (FN-EIT) has been recently used for imaging neural traffic in the vagus nerves of pigs in a cross-correlation study with sVNS and MicroCT fascicle tracking. FN-EIT has the potential for allowing targeted sVNS; however, up to now, stimulation and imaging have been performed with separate electrode arrays. In this study, different options were evaluated

Indexed as

EITelectrical impedance tomographyelectrode arrayneuromodulationselective stimulationvagus nerve

Identifiers

PMID37138728
PMCPMC10149952
OpenAlexW4366209748

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.