Evidence map›Paper›PMID 25445738›Full record

ArticleMathematical biosciences2014

A kinetic model for the frequency dependence of cholinergic modulation at hippocampal GABAergic synapses.

Emily Stone, Heikki Haario, J Josh Lawrence

Abstract read
In one paragraph

Article in Mathematical biosciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Model-Based Inference of Synaptic Transmission.Frontiers in synaptic neuroscience · 2019
    Review
  5. Article
  6. Data Driven Models of Short-Term Synaptic Plasticity.Frontiers in computational neuroscience · 2018
    Article
  7. 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.

Emily StoneDepartment of Mathematical Sciences, The University of Montana Missoula, MT 59812, USA. Electronic address: stone@mso.umt.edu.
Heikki HaarioDepartment of Mathematics and Physics, Lappeenranta University of Technology, Lappeenranta, Finland.
J Josh LawrenceDepartment of Biomedical and Pharmaceutical Sciences, The University of Montana Missoula, MT 59812, USA.

Funding

Differential modes of cholinergic transmission onto cellular hippocampal targetsR01NS069689 · NINDS · UNIVERSITY OF MONTANA · PI LAWRENCE, JOHN JOSHUA · 2010 to 2014
$1.5M
NINDS NIH HHS R01 NS069689
6 · The paper itself

Abstract

In this paper we use a simple model of presynaptic neuromodulation of GABA signaling to decipher paired whole-cell recordings of frequency dependent cholinergic neuromodulation at CA1 parvalbumin-containing basket cell (PV BC)-pyramidal cell synapses. Variance-mean analysis is employed to normalize the data, which is then used to estimate parameters in the mathematical model. Various parameterizations and hidden parameter dependencies are investigated using Markov Chain Monte Carlo (MCMC) parameter estimation techniques. This analysis reveals that frequency dependence of cholinergic modulation requires both calcium-dependent recovery from depression and mAChR-induced inhibition of presynaptic calcium entry. A reduction in calcium entry into the presynaptic terminal in the kinetic model accounted for the frequency-dependent effects of mAChR activation.

Indexed as

Models, TheoreticalAcetylcholineAnimalsCA1 Region, Hippocampalgamma-Aminobutyric AcidKineticsMicePyramidal CellsSynapsesSynaptic TransmissionAcetylcholinegamma-Aminobutyric AcidCholinergic modulationHippocampal GABAergic synapsesMarkov Chain Monte Carlo parameter estimationPresynaptic depression

Identifiers

PMID25445738
PMCPMC4262556

What OpenQuestion holds

Textmetadata
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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.