Evidence map›Paper›PMID 30872709›Full record

ArticleScientific reports2019

Automated real-time quantification of group locomotor activity in Drosophila melanogaster.

Kristin M Scaplen, Nicholas J Mei, Hayley A Bounds, Sophia L Song, Reza Azanchi, Karla R Kaun

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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.

  1. Article
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Ethanol Behavioral Responses inCold Spring Harbor protocols · 2023
    Article
  12. The Stage-Based Model of Addiction-UsingInternational journal of molecular sciences · 2023
    Review
  13. Neuroscience insights · 2023
    Article
  14. Phenotyping ofBiomolecules · 2022
    Review
  15. The Use ofBiomedicines · 2022
    Review
  16. Review
  17. Exploring Aβ Proteotoxicity and Therapeutic Candidates UsingInternational journal of molecular sciences · 2021
    Review
  18. TheJournal of neurogenetics · 2021
    Article
  19. Article
  20. Article
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.

Kristin M ScaplenDepartment of Neuroscience, Brown University Providence, Providence, USA.
Nicholas J MeiDepartment of Neuroscience, Brown University Providence, Providence, USA.
Hayley A BoundsDepartment of Neuroscience, Brown University Providence, Providence, USA.
Sophia L SongDepartment of Neuroscience, Brown University Providence, Providence, USA.
Reza AzanchiDepartment of Neuroscience, Brown University Providence, Providence, USA.
Karla R KaunDepartment of Neuroscience, Brown University Providence, Providence, USA. Karla_Kaun@brown.edu.

Funding

The neural basis of sequential control in human and non-human primatesP20GM103645 · NIGMS · BROWN UNIVERSITY · PI WORDEN, MICHAEL S · 2013 to 2022
$22.9M
Notch-dependent microcircuit regulaton of alcohol reward memoryR01AA024434 · NIAAA · BROWN UNIVERSITY · PI KAUN, KARLA R. · 2016 to 2025
$3.9M
Neuroscience Advanced Predoctoral Institutional Training GrantT32NS062443 · NINDS · BROWN UNIVERSITY · PI LIPSCOMBE, DIANE, MOORE, CHRISTOPHER I · 2008 to 2018
$1.8M
CSHL Neurobiology of Drosophila CourseR13DA034437 · NIDA · COLD SPRING HARBOR LABORATORY · PI STEWART, DAVID J. · 2012 to 2016
$175k
NIAAA NIH HHS R01 AA024434NIDA NIH HHS R13 DA034437NIGMS NIH HHS P20 GM103645NINDS NIH HHS T32 NS062443
6 · The paper itself

Abstract

Recent advances in neurogenetics have highlighted Drosophila melanogaster as an exciting model to study neural circuit dynamics and complex behavior. Automated tracking methods have facilitated the study of complex behaviors via high throughput behavioral screening. Here we describe a newly developed low-cost assay capable of real-time monitoring and quantifying Drosophila group activity. This platform offers reliable real-time quantification with open source software and a user-friendly interface for data acquisition and analysis. We demonstrate the utility of this platform by characterizing ethanol-induced locomotor activity in a dose-dependent manner as well as the effects of thermo and optogenetic manipulation of ellipsoid body neurons important for ethanol-induced locomotor activity. As expected, low doses of ethanol induced an initial startle and slow ramping of group activity, whereas high doses of ethanol induced sustained group activity followed by sedation. Advanced offline processing revealed discrete behavioral features characteristic of intoxication. Thermogenetic inactivation of ellipsoid body ring neurons reduced group activity whereas optogenetic activation increased activity. Together, these data establish the fly Group Activity Monitor (flyGrAM) platform as a robust means of obtaining an online read out of group activity in response to manipulations to the environment or neural activity, with an opportunity for more advanced post-processing offline.

Indexed as

OptogeneticsThermogenesisAnimalsAnti-Infective Agents, LocalBehavior, AnimalDrosophila melanogasterEthanolFemaleLocomotionMaleNeuronsAnti-Infective Agents, LocalEthanol

Identifiers

PMID30872709
PMCPMC6418093

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LicenceCC BY
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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.