Evidence map›Paper›PMID 36855060›Full record

ArticleBioelectronic medicine2023

Characterization and applications of evoked responses during epidural electrical stimulation.

Nishant Verma, Ben Romanauski, Danny Lam, Luis Lujan, Stephan Blanz, Kip Ludwig, Scott Lempka, Andrew Shoffstall, Bruce Knudson, Yuichiro Nishiyama and 5 more

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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  12. Quantification of porcine lower thoracic spinal cord morphology with intact dura mater using high-resolution μCT.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

15 authors at 6 institutions in 2 countries.

Nishant Verma *Abbott Neuromodulation, 6901 Preston Rd, Plano, TX, 75024, USA.
Ben Romanauski *Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Danny LamAbbott Neuromodulation, 6901 Preston Rd, Plano, TX, 75024, USA.
Luis LujanDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Stephan BlanzDepartment of Biomedical Engineering, University of Wisconsin Madison, Madison, USA.
Kip LudwigDepartment of Biomedical Engineering, University of Wisconsin Madison, Madison, USA.
Scott LempkaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Andrew ShoffstallDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Bruce KnudsonDepartment of Biomedical Engineering, University of Wisconsin Madison, Madison, USA.
Yuichiro NishiyamaDepartment of Neurology, Department of Physiology and Biomedical Engineering, Mayo Clinic, 500 First Street SW, Rochester, MN, 55905, USA.
Jian HaoDepartment of Neurology, Department of Physiology and Biomedical Engineering, Mayo Clinic, 500 First Street SW, Rochester, MN, 55905, USA.
Hyun-Joo ParkAbbott Neuromodulation, 6901 Preston Rd, Plano, TX, 75024, USA.
Erika RossAbbott Neuromodulation, 6901 Preston Rd, Plano, TX, 75024, USA.
Igor LavrovDepartment of Neurology, Department of Physiology and Biomedical Engineering, Mayo Clinic, 500 First Street SW, Rochester, MN, 55905, USA. igor.lavrov@gmail.com.ORCID http://orcid.org/0000-0002-3885-4509
Mingming ZhangAbbott Neuromodulation, 6901 Preston Rd, Plano, TX, 75024, USA. mingming.zhang1@abbott.com.
Mayo Clinic · USUniversity of Wisconsin–Madison · USAbbott (United States) · USAbbott (United Kingdom) · GBLouis Stokes Cleveland VA Medical Center · USUniversity of Michigan · 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
NIH HHS OT2 OD025340
6 · The paper itself

Abstract

backgroundEpidural electrical stimulation (EES) of the spinal cord has been FDA approved and used therapeutically for decades. However, there is still not a clear understanding of the local neural substrates and consequently the mechanism of action responsible for the therapeutic effects.

methodEpidural spinal recordings (ESR) are collected from the electrodes placed in the epidural space. ESR contains multi-modality signal components such as the evoked neural response (due to tonic or BurstDR™ waveforms), evoked muscle response, stimulation artifact, and cardiac response. The tonic stimulation evoked compound action potential (ECAP) is one of the components in ESR and has been proposed recently to measure the accumulative local potentials from large populations of neuronal fibers during EES.

resultHere, we first review and investigate the referencing strategies, as they apply to ECAP component in ESR in the domestic swine animal model. We then examine how ECAP component can be used to sense lead migration, an adverse outcome following lead placement that can reduce therapeutic efficacy. Lastly, we show and isolate concurrent activation of local back and leg muscles during EES, demonstrating that the ESR obtained from the recording contacts contain both ECAP and EMG components.

conclusionThese findings may further guide the implementation of recording and reference contacts in an implantable EES system and provide preliminary evidence for the utility of ECAP component in ESR to detect lead migration. We expect these results to facilitate future development of EES methodology and implementation of use of different components in ESR to improve EES therapy.

Indexed as

Evoked compound action potentialNeuromodulationNeuropathic painNeurophysiologySpinal cord stimulationSpinally evoked motor potentials

Identifiers

PMID36855060
PMCPMC9976490
OpenAlexW4322618741

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.