Evidence map›Paper›PMID 39396050›Full record

ArticleNature communications2024

Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies.

Victoria O Pokusaeva, Roshan Satapathy, Olga Symonova, Maximilian Joesch

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A comprehensive neuroanatomical survey of thebioRxiv : the preprint server for biology · 2023
    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

4 authors.

Victoria O Pokusaeva *Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria.
Roshan Satapathy *Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria.ORCID 0009-0006-2974-5075
Olga SymonovaInstitute of Science and Technology Austria (ISTA), Klosterneuburg, Austria.ORCID 0000-0003-2012-9947
Maximilian JoeschInstitute of Science and Technology Austria (ISTA), Klosterneuburg, Austria. maxjosch@ist.ac.at.ORCID 0000-0002-3937-1330

Funding

Resource Component: Acquisition, maintenance and distribution of Drosophila stocksP40OD018537 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Annette L. Parks · 2014 to 2026
$13.5M
Deutsche Forschungsgemeinschaft (German Research Foundation) SPP 2205 - 429960716NIH HHS P40 OD018537
6 · The paper itself

Abstract

Animals rely on compensatory actions to maintain stability and navigate their environment efficiently. These actions depend on global visual motion cues known as optic-flow. While the optomotor response has been the traditional focus for studying optic-flow compensation in insects, its simplicity has been insufficient to determine the role of the intricate optic-flow processing network involved in visual course control. Here, we reveal a series of course control behaviours in Drosophila and link them to specific neural circuits. We show that bilateral electrical coupling of optic-flow-sensitive neurons in the fly's lobula plate are required for a proper course control. This electrical interaction works alongside chemical synapses within the HS-H2 network to control the dynamics and direction of turning behaviours. Our findings reveal how insects use bilateral motion cues for navigation, assigning a new functional significance to the HS-H2 network and suggesting a previously unknown role for gap junctions in non-linear operations.

Indexed as

Drosophila melanogasterNeuronsOptic FlowAnimalsBehavior, AnimalCuesGap JunctionsMotion Perception

Identifiers

PMID39396050
PMCPMC11470938

What OpenQuestion holds

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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.