Evidence map›Paper›PMID 26972952›Full record

ArticleJournal of neuroscience methods2016

Determining synaptic parameters using high-frequency activation.

Monica S Thanawala, Wade G Regehr

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  5. Synapse-Specific Defects in Synaptic Transmission in the Cerebellum of W246G Mutant ELOVL4 Rats-a Model of Human SCA34.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
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  7. SNARE Proteins in Synaptic Vesicle Fusion.Advances in neurobiology · 2023
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  16. The Property-Based Practical Applications and Solutions of Genetically Encoded Acetylcholine and Monoamine Sensors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Review
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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

2 authors at 1 institution in 1 country.

Monica S ThanawalaDepartment of Neurobiology, Harvard Medical School, Boston, MA, United States.
Wade G RegehrDepartment of Neurobiology, Harvard Medical School, Boston, MA, United States. Electronic address: wade_regehr@hms.harvard.edu.
Harvard University · US

Funding

Short-Term Synaptic Plasticity in the CNSR01NS032405 · NINDS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI REGEHR, WADE G · 1995 to 2016
$4.8M
Short-Term Synaptic Plasticity in the CNSR37NS032405 · NINDS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI REGEHR, WADE G · 2005 to 2011
$4.7M
Regulation of release probability by tonic presynaptic inhibitionF31NS073252 · NINDS · HARVARD MEDICAL SCHOOL · PI THANAWALA, MONICA SHISHIR · 2011 to 2013
$93k
NINDS NIH HHS F31 NS073252NINDS NIH HHS F31NS073252NINDS NIH HHS NS032405NINDS NIH HHS R01 NS032405NINDS NIH HHS R37 NS032405
6 · The paper itself

Abstract

backgroundThe specific properties of a synapse determine how neuronal activity evokes neurotransmitter release. Evaluating changes in synaptic properties during sustained activity is essential to understanding how genetic manipulations and neuromodulators regulate neurotransmitter release. Analyses of postsynaptic responses to high-frequency stimulation have provided estimates of the size of the readily-releasable pool (RRP) of vesicles (N0) and the probability of vesicular release (p) at multiple synapses. NEW

methodHere, we introduce a model-based approach at the calyx of Held synapse in which depletion and the rate of replenishment (R) determine the number of available vesicles, and facilitation leads to a use-dependent increase in p when initial p is low.

resultsWhen p is high and R is low, we find excellent agreement between estimates based on all three methods and the model. However, when p is low or when significant replenishment occurs between stimuli, estimates of different methods diverge, and model estimates are between the extreme estimates provided by the other approaches. COMPARISON WITH OTHER

methodsWe compare our model-based approach to three other approaches that rely on different simplifying assumptions. Our findings suggest that our model provides a better estimate of N0 and p than previously-established methods, likely due to inaccurate assumptions about replenishment. More generally, our findings suggest that approaches commonly used to estimate N0 and p at other synapses are often applied under experimental conditions that yield inaccurate estimates.

conclusionsCareful application of appropriate methods can greatly improve estimates of synaptic parameters.

Indexed as

AnimalsBrain StemExcitatory Postsynaptic PotentialsFemaleMaleMice, Inbred C57BLPatch-Clamp TechniquesSynapsesSynaptic PotentialsCalyx of HeldReadily-releasable poolRelease probabilitySynaptic transmission

Identifiers

PMID26972952
PMCPMC4833598
OpenAlexW2296069419

What OpenQuestion holds

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LicenceTDM
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.