Evidence map›Paper›PMID 25249970›Full record

ArticleFrontiers in computational neuroscience2014

Synaptic bouton properties are tuned to best fit the prevailing firing pattern.

Markus M Knodel, Romina Geiger, Lihao Ge, Daniel Bucher, Alfio Grillo, Gabriel Wittum, Christoph M Schuster, Gillian Queisser

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
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

14 citing papers in PubMed, 24 citations in OpenAlex.

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  9. NeuroBox: Computational Mathematics in Multiscale Neuroscience.Computing And Visualization In Science · 2019
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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

8 authors at 2 institutions in 1 country.

Markus M KnodelBernstein Group Detailed Modeling of Signal Processing in Neurons, University of Heidelberg and University of Frankfurt Heidelberg/Frankfurt, Germany ; Department of Simulation and Modeling, Goethe Center for Scientific Computing, University of Frankfurt Frankfurt, Germany.
Romina GeigerBernstein Center for Computational Neuroscience Heidelberg-Mannheim Heidelberg/Mannheim, Germany ; Department of Neurobiology, Interdisciplinary Center for Neurosciences, University of Heidelberg Heidelberg, Germany.
Lihao GeBernstein Center for Computational Neuroscience Heidelberg-Mannheim Heidelberg/Mannheim, Germany ; Department of Neurobiology, Interdisciplinary Center for Neurosciences, University of Heidelberg Heidelberg, Germany.
Daniel BucherBernstein Group Detailed Modeling of Signal Processing in Neurons, University of Heidelberg and University of Frankfurt Heidelberg/Frankfurt, Germany ; Department of Neurobiology, Interdisciplinary Center for Neurosciences, University of Heidelberg Heidelberg, Germany ; Development Unit, European Molecular Biology Laboratory Heidelberg, Germany.
Alfio GrilloDepartment of Simulation and Modeling, Goethe Center for Scientific Computing, University of Frankfurt Frankfurt, Germany ; Department of Mathematical Sciences, Polythecnic of Turin Turin, Italy.
Gabriel WittumBernstein Group Detailed Modeling of Signal Processing in Neurons, University of Heidelberg and University of Frankfurt Heidelberg/Frankfurt, Germany ; Department of Simulation and Modeling, Goethe Center for Scientific Computing, University of Frankfurt Frankfurt, Germany.
Christoph M SchusterBernstein Group Detailed Modeling of Signal Processing in Neurons, University of Heidelberg and University of Frankfurt Heidelberg/Frankfurt, Germany ; Bernstein Center for Computational Neuroscience Heidelberg-Mannheim Heidelberg/Mannheim, Germany ; Department of Neurobiology, Interdisciplinary Center for Neurosciences, University of Heidelberg Heidelberg, Germany.
Gillian QueisserBernstein Group Detailed Modeling of Signal Processing in Neurons, University of Heidelberg and University of Frankfurt Heidelberg/Frankfurt, Germany ; Bernstein Center for Computational Neuroscience Heidelberg-Mannheim Heidelberg/Mannheim, Germany ; Department of Computational Neuroscience, Goethe Center for Scientific Computing, University of Frankfurt Frankfurt, Germany.
Goethe University Frankfurt · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morphology of presynaptic specializations can vary greatly ranging from classical single-release-site boutons in the central nervous system to boutons of various sizes harboring multiple vesicle release sites. Multi-release-site boutons can be found in several neural contexts, for example at the neuromuscular junction (NMJ) of body wall muscles of Drosophila larvae. These NMJs are built by two motor neurons forming two types of glutamatergic multi-release-site boutons with two typical diameters. However, it is unknown why these distinct nerve terminal configurations are used on the same postsynaptic muscle fiber. To systematically dissect the biophysical properties of these boutons we developed a full three-dimensional model of such boutons, their release sites and transmitter-harboring vesicles and analyzed the local vesicle dynamics of various configurations during stimulation. Here we show that the rate of transmission of a bouton is primarily limited by diffusion-based vesicle movements and that the probability of vesicle release and the size of a bouton affect bouton-performance in distinct temporal domains allowing for an optimal transmission of the neural signals at different time scales. A comparison of our in silico simulations with in vivo recordings of the natural motor pattern of both neurons revealed that the bouton properties resemble a well-tuned cooperation of the parameters release probability and bouton size, enabling a reliable transmission of the prevailing firing-pattern at diffusion-limited boutons. Our findings indicate that the prevailing firing-pattern of a neuron may determine the physiological and morphological parameters required for its synaptic terminals.

Indexed as

adaptionboutonsfiring patternmodeling and simulationmorphologyneuromuscular junctionstructure-function relationships

Identifiers

PMID25249970
PMCPMC4158995
OpenAlexW2099666381

What OpenQuestion holds

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LicenceCC BY
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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.