Evidence map›Paper›PMID 31215720›Full record

ArticleNeuromodulation : journal of the International Neuromodulation Society2020

Evoked Potentials Recorded From the Spinal Cord During Neurostimulation for Pain: A Computational Modeling Study.

Carlos J Anaya, Hans J Zander, Robert D Graham, Vishwanath Sankarasubramanian, Scott F Lempka

Abstract read
In one paragraph

Article in Neuromodulation : journal of the International Neuromodulation Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Computational Optimization of Spinal Cord Stimulation for Dorsal Horn Interneuron Polarization.Neuromodulation : journal of the International Neuromodulation Society · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Biophysics of Frequency-Dependent Variation in Paresthesia and Pain Relief during Spinal Cord Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
  13. Article
  14. Spatiotemporal Distribution of Electrically Evoked Spinal Compound Action Potentials During Spinal Cord Stimulation.Neuromodulation : journal of the International Neuromodulation Society · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. [Simulation study of spinal cord stimulation evoked compound action potential].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    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

5 authors.

Carlos J AnayaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Hans J ZanderDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Robert D GrahamDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Vishwanath SankarasubramanianDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Scott F LempkaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.

Funding

Kilohertz Frequency Alternating Current Spinal Cord Stimulation for Chronic Pain ReliefR01NS089530 · NINDS · CASE WESTERN RESERVE UNIVERSITY · PI KILGORE, KEVIN L. · 2015 to 2018
$2.4M
National Science Foundation ACI-1548562NIH HHS NIH R01 NS089530NINDS NIH HHS R01 NS089530
6 · The paper itself

Abstract

objectivesSpinal cord stimulation (SCS) for pain is typically implemented in an open-loop manner using parameters that remain largely unchanged. To improve the overall efficacy and consistency of SCS, one closed-loop approach proposes to use evoked compound action potentials (ECAPs) recorded from the SCS lead(s) as a feedback control signal to guide parameter selection. The goal of this study was to use a computational modeling approach to investigate the source of these ECAP recordings and technical and physiological factors that affect their composition.

methodsWe developed a computational model that coupled a finite element model of lower thoracic SCS with multicompartment models of sensory axons within the spinal cord. We used a reciprocity-based approach to calculate SCS-induced ECAPs recorded from the SCS lead.

resultsOur model ECAPs contained a triphasic, P1, N1, P2 morphology. The model P2-N1 amplitudes and conduction velocities agreed with previous experimental data from human subjects. Model results suggested that the ECAPs are dominated by the activation of axons with diameters 8.7-10.0 μm located in the dorsal aspect of the spinal cord. We also observed changes in the ECAP amplitude and shape due to the electrode location relative to the vertebrae and spinal cord.

conclusionOur modeling results suggest that clinically effective SCS relies on the activation of numerous axons within a narrow fiber diameter range and that several factors affect the composition of the ECAP recordings. These results can improve how we interpret and implement these recordings in a potential closed-loop approach to SCS.

Indexed as

Computer SimulationModels, AnatomicEvoked PotentialsHumansPain ManagementSpinal CordSpinal Cord StimulationChronic paincomputer simulationevoked potentialsspinal cordspinal cord stimulation

Identifiers

PMID31215720
PMCPMC6920600

What OpenQuestion holds

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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 OpenQuestion graph.