Evidence map›Paper›PMID 25610364›Full record

ReviewFrontiers in neuroscience2014

Revealing neuronal function through microelectrode array recordings.

Marie Engelene J Obien, Kosmas Deligkaris, Torsten Bullmann, Douglas J Bakkum, Urs Frey

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 papers.

0numbers the graph read from it
0cells of the map it votes in
296citing papers in PubMed
–field-weighted citation impact
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

296 citing papers in PubMed.

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236 more citing papers are in PubMed but not listed here.

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.

Marie Engelene J ObienRIKEN Quantitative Biology Center, RIKEN Kobe, Japan.
Kosmas DeligkarisRIKEN Quantitative Biology Center, RIKEN Kobe, Japan ; Graduate School of Frontier Biosciences, Osaka University Osaka, Japan.
Torsten BullmannRIKEN Quantitative Biology Center, RIKEN Kobe, Japan.
Douglas J BakkumDepartment of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.
Urs FreyRIKEN Quantitative Biology Center, RIKEN Kobe, Japan ; Graduate School of Frontier Biosciences, Osaka University Osaka, Japan ; Department of Biosystems Science and Engineering, ETH Zurich Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate neurons at multiple sites simultaneously. However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor. Here, we review the current understanding of microelectrode signals and the techniques for analyzing them. We introduce the ongoing advancements in microelectrode technology, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry. We show how recent advanced microelectrode array measurement methods facilitate the understanding of single neurons as well as network function.

Indexed as

CMOSextracellular recordingmicroelectrode arraymultielectrode arraymulti-scale modelingneuronal functionneuron-electrode interfacestimulation

Identifiers

PMID25610364
PMCPMC4285113

What OpenQuestion holds

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Registered trials

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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.