Evidence map›Paper›PMID 26348707›Full record

ArticleJournal of neural engineering2015

Effects of frequency-dependent membrane capacitance on neural excitability.

Bryan Howell, Leonel E Medina, Warren M Grill

Registry-linked trialAbstract read
In one paragraph

Article in Journal of neural engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04239417 (Effect of Preoperative Graduated Abdominal Exercises and Russian Current Stimulation on Muscle Strength Post Ventral Hernioplasty), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

NCT04239417 nacompletednot on this mapstarted 2019, after this paper: background citation

Effect of Preoperative Graduated Abdominal Exercises and Russian Current Stimulation on Muscle Strength Post Ventral Hernioplasty

TypeinterventionalSponsorSouth Valley UniversityRan2019 to 2020Enrolled60ConditionsMuscle StrengthArmsGraduated abdominal strengthening exercises, The Russian current stimulation, Graduated abdominal strengthening exercises and the Russian current stimulation
3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of Extracellular Current Flow on Action Potential Propagation in Myelinated Axons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Stimulation Strategies for Tinnitus Suppression in a Neuron Model.Computational and mathematical methods in medicine · 2018
    Article
  17. Article
  18. The development and modelling of devices and paradigms for transcranial magnetic stimulation.International review of psychiatry (Abingdon, England) · 2017
    Review
  19. Article
  20. 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

3 authors.

Bryan Howell *Duke University, Department of Biomedical Engineering, Durham, NC, USA.
Leonel E Medina *Duke University, Department of Biomedical Engineering, Durham, NC, USA.
Warren M GrillDuke University, Department of Biomedical Engineering, Durham, NC, USA.

Funding

Temporal Patterns of Deep Brain StimulationR37NS040894 · NINDS · DUKE UNIVERSITY · PI GRILL, WARREN M. · 2015 to 2021
$4.2M
Temporal Patterns of Deep Brain StimulationR01NS040894 · NINDS · DUKE UNIVERSITY · PI GRILL, WARREN M. · 2000 to 2013
$3.4M
Optimal Electrode Geometries for Efficient and Selective Deep Brain StimulationF31NS079105 · NINDS · DUKE UNIVERSITY · PI HOWELL, BRYAN · 2012 to 2014
$83k
NINDS NIH HHS F31 NS079105NINDS NIH HHS R01 NS040894NINDS NIH HHS R37 NS040894
6 · The paper itself

Abstract

objectiveModels of excitable cells consider the membrane specific capacitance as a ubiquitous and constant parameter. However, experimental measurements show that the membrane capacitance declines with increasing frequency, i.e., exhibits dispersion. We quantified the effects of frequency-dependent membrane capacitance, c(f), on the excitability of cells and nerve fibers across the frequency range from dc to hundreds of kilohertz. APPROACH: We implemented a model of c(f) using linear circuit elements, and incorporated it into several models of neurons with different channel kinetics: the Hodgkin-Huxley model of an unmyelinated axon, the McIntyre-Richardson-Grill (MRG) of a mammalian myelinated axon, and a model of a cortical neuron from prefrontal cortex (PFC). We calculated thresholds for excitation and kHz frequency conduction block, the conduction velocity, recovery cycle, strength-distance relationship and firing rate. MAIN

resultsThe impact of c(f) on activation thresholds depended on the stimulation waveform and channel kinetics. We observed no effect using rectangular pulse stimulation, and a reduction for frequencies of 10 kHz and above using sinusoidal signals only for the MRG model. c(f) had minimal impact on the recovery cycle and the strength-distance relationship, whereas the conduction velocity increased by up to 7.9% and 1.7% for myelinated and unmyelinated fibers, respectively. Block thresholds declined moderately when incorporating c(f), the effect was greater at higher frequencies, and the maximum reduction was 11.5%. Finally, c(f) marginally altered the firing pattern of a model of a PFC cell, reducing the median interspike interval by less than 2%. SIGNIFICANCE: This is the first comprehensive analysis of the effects of dispersive capacitance on neural excitability, and as the interest on stimulation with kHz signals gains more attention, it defines the regions over which frequency-dependent membrane capacitance, c(f), should be considered.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCell MembraneComputer SimulationDifferential ThresholdElectric CapacitanceHumansNeural ConductionNeurons

Identifiers

PMID26348707
PMCPMC4582421

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Registered trials

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.