Evidence map›Paper›PMID 26854041›Full record

ArticleScientific reports2016

An integrative approach for analyzing hundreds of neurons in task performing mice using wide-field calcium imaging.

Ali I Mohammed, Howard J Gritton, Hua-an Tseng, Mark E Bucklin, Zhaojie Yao, Xue Han

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  13. CaMKIIα-Positive Interneurons Identified via a microRNA-Based Viral Gene Targeting Strategy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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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

6 authors.

Ali I MohammedBoston University, Department of Biomedical Engineering, Boston, MA 02215.
Howard J GrittonBoston University, Department of Biomedical Engineering, Boston, MA 02215.
Hua-an TsengBoston University, Department of Biomedical Engineering, Boston, MA 02215.
Mark E BucklinBoston University, Department of Biomedical Engineering, Boston, MA 02215.
Zhaojie YaoBoston University, Department of Biomedical Engineering, Boston, MA 02215.
Xue HanBoston University, Department of Biomedical Engineering, Boston, MA 02215.

Funding

Light-Actuatable NanoRobots for Molecular UncagingDP2NS082126 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HAN, XUE · 2012 to 2017
$2.9M
Causal Analysis of Electrically Connected Neural NetworksR01NS087950 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HAN, XUE · 2013 to 2016
$1.3M
NCCDPHP CDC HHS 1DP2NS082126NINDS NIH HHS 1R01NS087950-01NINDS NIH HHS DP2 NS082126NINDS NIH HHS R01 NS087950
6 · The paper itself

Abstract

Advances in neurotechnology have been integral to the investigation of neural circuit function in systems neuroscience. Recent improvements in high performance fluorescent sensors and scientific CMOS cameras enables optical imaging of neural networks at a much larger scale. While exciting technical advances demonstrate the potential of this technique, further improvement in data acquisition and analysis, especially those that allow effective processing of increasingly larger datasets, would greatly promote the application of optical imaging in systems neuroscience. Here we demonstrate the ability of wide-field imaging to capture the concurrent dynamic activity from hundreds to thousands of neurons over millimeters of brain tissue in behaving mice. This system allows the visualization of morphological details at a higher spatial resolution than has been previously achieved using similar functional imaging modalities. To analyze the expansive data sets, we developed software to facilitate rapid downstream data processing. Using this system, we show that a large fraction of anatomically distinct hippocampal neurons respond to discrete environmental stimuli associated with classical conditioning, and that the observed temporal dynamics of transient calcium signals are sufficient for exploring certain spatiotemporal features of large neural networks.

Indexed as

Molecular ImagingNerve NetAnimalsBehavior, AnimalCalciumEvoked Potentials, MotorFemaleImage Processing, Computer-AssistedMiceMicroscopy, FluorescenceNeuronsPyramidal CellsCalcium

Identifiers

PMID26854041
PMCPMC4745097

What OpenQuestion holds

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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.