Evidence map›Paper›PMID 27121577›Full record

ArticleJournal of neurophysiology2016

A biophysical model examining the role of low-voltage-activated potassium currents in shaping the responses of vestibular ganglion neurons.

Ariel E Hight, Radha Kalluri

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Expression of hyperpolarization-activated current (Journal of neurophysiology · 2023
    Article
  7. Muscarinic Acetylcholine Receptors Modulate HCN Channel Properties in Vestibular Ganglion Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Predicting Response of Spontaneously Firing Afferents to Prosthetic Pulsatile Stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    Article
  12. Review
  13. Enhanced Activation of HCN Channels Reduces Excitability and Spike-Timing Regularity in Maturing Vestibular Afferent Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  14. Article
  15. 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

2 authors.

Ariel E HightDivision of Communications Auditory Neuroscience, House Research Institute, Los Angeles, California; and.
Radha KalluriDivision of Communications Auditory Neuroscience, House Research Institute, Los Angeles, California; and Department of Otolaryngology, Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, California radha@usc.edu.

Funding

TRAINING FOR SPEECH AND HEARING SCIENCEST32DC000038 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Gwenaelle S Geleoc · 1992 to 2026
$21.8M
Biophysical properties and function of primary auditory neuronsR03DC012652 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KALLURI, RADHA · 2013 to 2015
$701k
Optogenetic Stimulation in a Model of the Auditory Brainstem ImplantF31DC014871 · NIDCD · HARVARD MEDICAL SCHOOL · PI HIGHT, ARIEL EDWARD · 2015 to 2016
$67k
NIDCD NIH HHS F31 DC014871NIDCD NIH HHS R03 DC012652NIDCD NIH HHS T32 DC000038
6 · The paper itself

Abstract

The vestibular nerve is characterized by two broad groups of neurons that differ in the timing of their interspike intervals; some fire at highly regular intervals, whereas others fire at highly irregular intervals. Heterogeneity in ion channel properties has been proposed as shaping these firing patterns (Highstein SM, Politoff AL. Brain Res 150: 182-187, 1978; Smith CE, Goldberg JM. Biol Cybern 54: 41-51, 1986). Kalluri et al. (J Neurophysiol 104: 2034-2051, 2010) proposed that regularity is controlled by the density of low-voltage-activated potassium currents (IKL). To examine the impact of IKL on spike timing regularity, we implemented a single-compartment model with three conductances known to be present in the vestibular ganglion: transient sodium (gNa), low-voltage-activated potassium (gKL), and high-voltage-activated potassium (gKH). Consistent with in vitro observations, removing gKL depolarized resting potential, increased input resistance and membrane time constant, and converted current step-evoked firing patterns from transient (1 spike at current onset) to sustained (many spikes). Modeled neurons were driven with a time-varying synaptic conductance that captured the random arrival times and amplitudes of glutamate-driven synaptic events. In the presence of gKL, spiking occurred only in response to large events with fast onsets. Models without gKL exhibited greater integration by responding to the superposition of rapidly arriving events. Three synaptic conductance were modeled, each with different kinetics to represent a variety of different synaptic processes. In response to all three types of synaptic conductance, models containing gKL produced spike trains with irregular interspike intervals. Only models lacking gKL when driven by rapidly arriving small excitatory postsynaptic currents were capable of generating regular spiking.

Indexed as

Models, NeurologicalAnimalsBiophysicsElectric StimulationExcitatory Postsynaptic PotentialsGanglia, SensoryKCNQ Potassium ChannelsMembrane PotentialsNeuronsPotassiumRatsSodiumSynapsesVestibular NerveKCNQ Potassium ChannelsPotassiumSodiumlow-voltage-activated potassium currentsregularityvestibular ganglion neurons

Identifiers

PMID27121577
PMCPMC4978793

What OpenQuestion holds

Textmetadata
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.