Evidence map›Paper›PMID 28591182›Full record

ArticlePLoS computational biology2017

An integrated calcium imaging processing toolbox for the analysis of neuronal population dynamics.

Sebastián A Romano, Verónica Pérez-Schuster, Adrien Jouary, Jonathan Boulanger-Weill, Alessia Candeo, Thomas Pietri, Germán Sumbre

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

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7 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

7 authors.

Sebastián A RomanoEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.ORCID http://orcid.org/0000-0002-1430-4633
Verónica Pérez-SchusterEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.ORCID http://orcid.org/0000-0002-7488-3710
Adrien JouaryEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.
Jonathan Boulanger-WeillEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.
Alessia CandeoEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.ORCID http://orcid.org/0000-0001-9597-3056
Thomas PietriEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.
Germán SumbreEcole Normale Supérieure, PSL Research University, CNRS, Inserm, Institut de Biologie de l'ENS, IBENS, Paris, France.ORCID http://orcid.org/0000-0003-4436-6840

Funding

European Research Council 243106
6 · The paper itself

Abstract

The development of new imaging and optogenetics techniques to study the dynamics of large neuronal circuits is generating datasets of unprecedented volume and complexity, demanding the development of appropriate analysis tools. We present a comprehensive computational workflow for the analysis of neuronal population calcium dynamics. The toolbox includes newly developed algorithms and interactive tools for image pre-processing and segmentation, estimation of significant single-neuron single-trial signals, mapping event-related neuronal responses, detection of activity-correlated neuronal clusters, exploration of population dynamics, and analysis of clusters' features against surrogate control datasets. The modules are integrated in a modular and versatile processing pipeline, adaptable to different needs. The clustering module is capable of detecting flexible, dynamically activated neuronal assemblies, consistent with the distributed population coding of the brain. We demonstrate the suitability of the toolbox for a variety of calcium imaging datasets. The toolbox open-source code, a step-by-step tutorial and a case study dataset are available at https://github.com/zebrain-lab/Toolbox-Romano-et-al.

Indexed as

SoftwareAction PotentialsCalciumCalcium SignalingCell TrackingConnectomeImage Interpretation, Computer-AssistedMolecular ImagingNeuronsProgramming LanguagesReproducibility of ResultsSensitivity and SpecificitySystems IntegrationVoltage-Sensitive Dye ImagingCalcium

Identifiers

PMID28591182
PMCPMC5479595

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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.