Evidence map›Paper›PMID 32116641›Full record

ReviewFrontiers in synaptic neuroscience2020

Unveiling the Synaptic Function and Structure Using Paired Recordings From Synaptically Coupled Neurons.

Guanxiao Qi, Danqing Yang, Chao Ding, Dirk Feldmeyer

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in synaptic neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Guanxiao QiInstitute of Neuroscience and Medicine, INM-10, Jülich Research Centre, Jülich, Germany.
Danqing YangInstitute of Neuroscience and Medicine, INM-10, Jülich Research Centre, Jülich, Germany.
Chao DingInstitute of Neuroscience and Medicine, INM-10, Jülich Research Centre, Jülich, Germany.
Dirk FeldmeyerInstitute of Neuroscience and Medicine, INM-10, Jülich Research Centre, Jülich, Germany.
Forschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synaptic transmission between neurons is the basic mechanism for information processing in cortical microcircuits. To date, paired recording from synaptically coupled neurons is the most widely used method which allows a detailed functional characterization of unitary synaptic transmission at the cellular and synaptic level in combination with a structural characterization of both pre- and postsynaptic neurons at the light and electron microscopic level. In this review, we will summarize the many applications of paired recordings to investigate synaptic function and structure. Paired recordings have been used to study the detailed electrophysiological and anatomical properties of synaptically coupled cell pairs within a synaptic microcircuit; this is critical in order to understand the connectivity rules and dynamic properties of synaptic transmission. Paired recordings can also be adopted for quantal analysis of an identified synaptic connection and to study the regulation of synaptic transmission by neuromodulators such as acetylcholine, the monoamines, neuropeptides, and adenosine etc. Taken together, paired recordings from synaptically coupled neurons will remain a very useful approach for a detailed characterization of synaptic transmission not only in the rodent brain but also that of other species including humans.

Indexed as

neuromodulationpaired recordingsquantal analysisstructure-function analysissynaptic connection

Identifiers

PMID32116641
PMCPMC7026682
OpenAlexW3005817947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.