Evidence map›Paper›PMID 27207786›Full record

ArticlePhysiological reports2016

Background visual motion affects responses of an insect motion-sensitive neuron to objects deviating from a collision course.

Jasmine M Yakubowski, Glyn A McMillan, John R Gray

Abstract read
In one paragraph

Article in Physiological reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  7. Visual motion sensitivity in descending neurons in the hoverfly.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 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

3 authors.

Jasmine M YakubowskiDepartment of Biology, 112 Science Place, University of Saskatchewan, Saskatoon, SK, Canada.
Glyn A McMillanDepartment of Biology, 112 Science Place, University of Saskatchewan, Saskatoon, SK, Canada.
John R GrayDepartment of Biology, 112 Science Place, University of Saskatchewan, Saskatoon, SK, Canada jack.gray@usask.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stimulus complexity affects the response of looming sensitive neurons in a variety of animal taxa. The Lobula Giant Movement Detector/Descending Contralateral Movement Detector (LGMD/DCMD) pathway is well-characterized in the locust visual system. It responds to simple objects approaching on a direct collision course (i.e., looming) as well as complex motion defined by changes in stimulus velocity, trajectory, and transitions, all of which are affected by the presence or absence of background visual motion. In this study, we focused on DCMD responses to objects transitioning away from a collision course, which emulates a successful locust avoidance behavior. We presented each of 20 locusts with a sequence of complex three-dimensional visual stimuli in simple, scattered, and progressive flow field backgrounds while simultaneously recording DCMD activity extracellularly. DCMD responses to looming stimuli were generally characteristic irrespective of stimulus background. However, changing background complexity affected, peak firing rates, peak time, and caused changes in peak rise and fall phases. The DCMD response to complex object motion also varied with the azimuthal approach angle and the dynamics of object edge expansion. These data fit with an existing correlational model that relates expansion properties to firing rate modulation during trajectory changes.

Indexed as

AnimalsFemaleLocusta migratoriaMaleMotion PerceptionMotor ActivityNeuronsPhotic StimulationDCMDlocustmotion detectionoptic flowvision

Identifiers

PMID27207786
PMCPMC4886169

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.