Evidence map›Paper›PMID 27468317›Full record

ArticleCognitive neurodynamics2016

Selectivity of stimulus induced responses in cultured hippocampal networks on microelectrode arrays.

Alexey Pimashkin, Arseniy Gladkov, Ekaterina Agrba, Irina Mukhina, Victor Kazantsev

Open access · hybridAbstract read
In one paragraph

Article in Cognitive neurodynamics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 24 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

5 authors at 1 institution in 1 country.

Alexey PimashkinNeuroengineering Laboratory, Translational Technologies Center, Lobachevsky State University of Nizhny Novgorod, Gagarin ave 23, Nizhny Novgorod, Russian Federation 603950.
Arseniy GladkovNeuroengineering Laboratory, Translational Technologies Center, Lobachevsky State University of Nizhny Novgorod, Gagarin ave 23, Nizhny Novgorod, Russian Federation 603950 ; Central Research Laboratory, Cell Technology Department, Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, Russian Federation 603005.
Ekaterina AgrbaNeuroengineering Laboratory, Translational Technologies Center, Lobachevsky State University of Nizhny Novgorod, Gagarin ave 23, Nizhny Novgorod, Russian Federation 603950.
Irina MukhinaNeuroengineering Laboratory, Translational Technologies Center, Lobachevsky State University of Nizhny Novgorod, Gagarin ave 23, Nizhny Novgorod, Russian Federation 603950 ; Central Research Laboratory, Cell Technology Department, Nizhny Novgorod State Medical Academy, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, Russian Federation 603005.
Victor KazantsevNeuroengineering Laboratory, Translational Technologies Center, Lobachevsky State University of Nizhny Novgorod, Gagarin ave 23, Nizhny Novgorod, Russian Federation 603950.
N. I. Lobachevsky State University of Nizhny Novgorod · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensory information can be encoded using the average firing rate and spike occurrence times in neuronal network responses to external stimuli. Decoding or retrieving stimulus characteristics from the response pattern generally implies that the corresponding neural network has a selective response to various input signals. The role of various spiking activity characteristics (e.g., spike rate and precise spike timing) for basic information processing was widely investigated on the level of neural populations but gave inconsistent evidence for particular mechanisms. Multisite electrophysiology of cultured neural networks grown on microelectrode arrays is a recently developed tool and currently an active research area. In this study, we analyzed the stimulus responses represented by network-wide bursts evoked from various spatial locations (electrodes). We found that the response characteristics, such as the burst initiation time and the spike rate, can be used to retrieve information about the stimulus location. The best selectivity in the response spiking pattern could be found for a small subpopulation of neurones (electrodes) at relatively short post-stimulus intervals. Such intervals were unique for each culture due to the non-uniform organization of the functional connectivity in the network during spontaneous development.

Indexed as

Brain information decodingElectrical stimulation in vitroHippocampal culturesMicroelectrode arrayNeural networks

Identifiers

PMID27468317
PMCPMC4947052
OpenAlexW2276560872

What OpenQuestion holds

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LicenceCC BY
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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.