Evidence map›Paper›PMID 34071257›Full record

ArticleBrain sciences2021

Experimental Platform to Study Spiking Pattern Propagation in Modular Networks In Vitro.

Yana Pigareva, Arseniy Gladkov, Vladimir Kolpakov, Irina Mukhina, Anton Bukatin, Victor B Kazantsev, Alexey Pimashkin

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Living-Neuron-Based Autogenerator.Sensors (Basel, Switzerland) · 2023
    Article
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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

7 authors at 4 institutions in 1 country.

Yana PigarevaNeurotechnology Department, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.
Arseniy GladkovNeurotechnology Department, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.ORCID 0000-0002-1831-808X
Vladimir KolpakovNeurotechnology Department, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.
Irina MukhinaNeurotechnology Department, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.ORCID 0000-0002-8811-0049
Anton BukatinThe Laboratory of Renewable Energy Sources, Alferov Saint-Petersburg National Research Academic University of the Russian Academy of Sciences, 194021 Saint-Petersburg, Russia.
Victor B KazantsevNeurotechnology Department, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.
Alexey PimashkinNeurotechnology Department, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia.ORCID 0000-0001-7024-8827
N. I. Lobachevsky State University of Nizhny Novgorod · RUPrivolzhsky Research Medical University · RUImmanuel Kant Baltic Federal University · RUSaint Petersburg Academic University · RU

Funding

Russian Foundation for Basic Research № 18-29-10068Russian Science Foundation №19-75-00095
6 · The paper itself

Abstract

The structured organization of connectivity in neural networks is associated with highly efficient information propagation and processing in the brain, in contrast with disordered homogeneous network architectures. Using microfluidic methods, we engineered modular networks of cultures using dissociated cells with unidirectional synaptic connections formed by asymmetric microchannels. The complexity of the microchannel geometry defined the strength of the synaptic connectivity and the properties of spiking activity propagation. In this study, we developed an experimental platform to study the effects of synaptic plasticity on a network level with predefined locations of unidirectionally connected cellular assemblies using multisite extracellular electrophysiology.

Indexed as

dissociated culturemicroelectrode arraymicrofluidicsmodular neural networkssynaptic plasticity

Identifiers

PMID34071257
PMCPMC8229331
OpenAlexW3165580284

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.