Evidence map›Paper›PMID 30273353›Full record

ArticlePLoS computational biology2018

meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays.

Sahar Gelfman, Quanli Wang, Yi-Fan Lu, Diana Hall, Christopher D Bostick, Ryan Dhindsa, Matt Halvorsen, K Melodi McSweeney, Ellese Cotterill, Tom Edinburgh and 7 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

17 authors.

Sahar GelfmanInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.ORCID 0000-0002-4727-7862
Quanli WangInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Yi-Fan LuInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Diana HallInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.ORCID 0000-0001-5462-4407
Christopher D BostickInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Ryan DhindsaInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.ORCID 0000-0002-8965-0813
Matt HalvorsenInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.ORCID 0000-0002-6707-2418
K Melodi McSweeneyInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Ellese CotterillCambridge Computational Biology Institute, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-4760-9748
Tom EdinburghCambridge Computational Biology Institute, University of Cambridge, Cambridge, United Kingdom.
Michael A BeaumontInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Wayne N FrankelInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Slavé PetrovskiInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.ORCID 0000-0002-1527-961X
Andrew S AllenInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Michael J BolandInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
David B GoldsteinInstitute for Genomic Medicine, Columbia University Medical Center, New York, NY, United States of America.
Stephen J EglenCambridge Computational Biology Institute, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-8607-8025

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007367 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI REINER, STEVEN L · 1985 to 2021
$25.1M
RNA Binding Proteins in Complex Neurological DiseaseR01NS091118 · NINDS · JACKSON LABORATORY · PI FRANKEL, WAYNE N. · 2015 to 2019
$1.9M
NIGMS NIH HHS T32 GM007367NINDS NIH HHS R01 NS091118Wellcome Trust
6 · The paper itself

Abstract

Here we present an open-source R package 'meaRtools' that provides a platform for analyzing neuronal networks recorded on Microelectrode Arrays (MEAs). Cultured neuronal networks monitored with MEAs are now being widely used to characterize in vitro models of neurological disorders and to evaluate pharmaceutical compounds. meaRtools provides core algorithms for MEA spike train analysis, feature extraction, statistical analysis and plotting of multiple MEA recordings with multiple genotypes and treatments. meaRtools functionality covers novel solutions for spike train analysis, including algorithms to assess electrode cross-correlation using the spike train tiling coefficient (STTC), mutual information, synchronized bursts and entropy within cultured wells. Also integrated is a solution to account for bursts variability originating from mixed-cell neuronal cultures. The package provides a statistical platform built specifically for MEA data that can combine multiple MEA recordings and compare extracted features between different genetic models or treatments. We demonstrate the utilization of meaRtools to successfully identify epilepsy-like phenotypes in neuronal networks from Celf4 knockout mice. The package is freely available under the GPL license (GPL> = 3) and is updated frequently on the CRAN web-server repository. The package, along with full documentation can be downloaded from: https://cran.r-project.org/web/packages/meaRtools/.

Indexed as

SoftwareAction PotentialsAlgorithmsAnimalsCells, CulturedComputational BiologyElectrophysiologyMiceMice, KnockoutMicroelectrodesNeurons

Identifiers

PMID30273353
PMCPMC6181426

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.