Evidence map›Paper›PMID 10798597›Full record

ArticleJournal of computational neuroscience

Stochastic modeling of facilitated neurosecretion.

M Bykhovskaia, M K Worden, J T Hackett

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of computational neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Stochastic Properties of Spontaneous Synaptic Transmission at Individual Active Zones.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  2. Article
  3. Article
  4. 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.

M BykhovskaiaDepartment of Molecular Physiology and Biological Physics, University of Virginia Health Sciences Center, Charlottesville 22906-0011, USA.
M K Worden
J T Hackett

Funding

HORMONAL REGULATION OF PRESYNAPTIC RELEASE MECHANISMSR03TW000893 · FIC · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI WORDEN, MARY K · 1997 to 1999
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FIC NIH HHS R03 TW00893NCRR NIH HHS RR10481
6 · The paper itself

Abstract

Two models of neurosecretion were evaluated in terms of their ability to predict the dependency of quantal content (m) on the frequency of repetitive stimulation of a lobster motoneuron. First, the hypothesis that neurosecretion is limited by a fixed number of release sites was tested by the fit of the distribution of m by uniform and nonuniform binomial statistics. The obtained release probabilities suggest that frequency facilitation can be due to activation of a group of sites with high release probabilities. However, the fit obtained using this model is not statistically significant due to a large number of fitting parameters. Second, the hypothesis that neurosecretion is limited by the rates of exchange between the releasable pool and the total store of quanta and that each stimulus enhances quantal mobilization was tested. Monte Carlo simulation was carried out in accordance with this model and reproduced the observed distribution of m with very few fitting parameters and therefore with a high level of significance (>0.1). This result demonstrates that mobilization of extra vesicles with each stimulus is a mechanism that allows a very accurate and parsimonious quantitative description of frequency facilitation.

Indexed as

Action PotentialsAnimalsBinomial DistributionElectric StimulationGanglia, InvertebrateLinear ModelsModels, NeurologicalMotor NeuronsNephropidaeNeuromuscular JunctionNeurosecretionSoftware DesignStochastic ProcessesSynaptic TransmissionSynaptic Vesicles

Identifiers

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.