Evidence map›Paper›PMID 36970420›Full record

ArticleFrontiers in cellular neuroscience2023

Excitatory synchronization of rat hippocampal interneurons during network activation

Viktoria S Pendeliuk, Igor V Melnick

Open access · goldFull text read
In one paragraph

Article in Frontiers in cellular neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Viktoria S PendeliukHospital of Urgent Medical Care, Department of Surgery No. 4, NAMS of Ukraine, Kiev, Ukraine.
Igor V MelnickDepartment of Biophysics of Ion Channels, Bogomoletz Institute of Physiology, NAS of Ukraine, Kiev, Ukraine.
Bogomoletz Institute of Physiology · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hippocampal interneurons (INs) are known to synchronize their electrical activity Methods: Here, synchronization of INs was studied using paired patch-clamp recordings in a simplified culture model with intact glutamate transmission. The level of network activity was moderately elevated by field electric stimulation, which is probably an analogue of afferent processing Results: Even in baseline conditions, ∼45% of spontaneous inhibitory postsynaptic currents (sIPSCs) resulting from firing of individual presynaptic INs coincided between cells within ±1 ms due to simple divergence of inhibitory axons. Brief network activation induced an appearance of 'hypersynchronous' (∼80%) population sIPSCs occurring in response to coherent discharges of several INs with jitter ±4 ms. Notably, population sIPSCs were preceded by transient inward currents (TICs). Those were excitatory events capable to synchronize firing of INs, in this respect being reminiscent of so-called fast prepotentials observed in studies on pyramidal neurons. TICs also had network properties consisting of heterogeneous components: glutamate currents, local axonal and dendritic spikelets, and coupling electrotonic currents likely Discussion: Our data demonstrate that synchronization of INs is initiated and dominated by glutamatergic mechanisms, which recruit, in a whole-sale manner, into supporting action other excitatory means existing in a given neural system.

Indexed as

GABAgap junctionsglutamatehippocampusinterneuronssynaptic transmissionsynchronization

Identifiers

PMID36970420
PMCPMC10034414
OpenAlexW4323667896

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read4
measurements read93
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.