Evidence map›Paper›PMID 29321732›Full record

ArticleFrontiers in systems neuroscience2017

Discrete Serotonin Systems Mediate Memory Enhancement and Escape Latencies after Unpredicted Aversive Experience in

Divya Sitaraman, Elizabeth F Kramer, Lily Kahsai, Daniela Ostrowski, Troy Zars

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Navigating Like a Fly:International journal of molecular sciences · 2023
    Review
  4. Article
  5. Review
  6. Article
  7. NPY/NPF-Related Neuropeptide FLP-34 Signals from Serotonergic Neurons to Modulate Aversive Olfactory Learning inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  8. Review
  9. Article
  10. Article
  11. 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

5 authors.

Divya SitaramanDivision of Biological Sciences, University of Missouri, Columbia, MO, United States.
Elizabeth F KramerDivision of Biological Sciences, University of Missouri, Columbia, MO, United States.
Lily KahsaiDivision of Biological Sciences, University of Missouri, Columbia, MO, United States.
Daniela OstrowskiDivision of Biological Sciences, University of Missouri, Columbia, MO, United States.
Troy ZarsDivision of Biological Sciences, University of Missouri, Columbia, MO, United States.

Funding

Functional Analysis of Sleep Promoting Neurons in Health and DiseaseR01NS076980 · NINDS · WASHINGTON UNIVERSITY · PI SHAW, PAUL J · 2011 to 2020
$3.3M
Dopamine regulation of sleep and arousalR15GM125073 · NIGMS · UNIVERSITY OF SAN DIEGO · PI SITARAMAN, DIVYA · 2017 to 2025
$951k
NIGMS NIH HHS R15 GM125073NINDS NIH HHS R01 NS076980
6 · The paper itself

Abstract

Feedback mechanisms in operant learning are critical for animals to increase reward or reduce punishment. However, not all conditions have a behavior that can readily resolve an event. Animals must then try out different behaviors to better their situation through outcome learning. This form of learning allows for novel solutions and with positive experience can lead to unexpected behavioral routines. Learned helplessness, as a type of outcome learning, manifests in part as increases in escape latency in the face of repeated unpredicted shocks. Little is known about the mechanisms of outcome learning. When fruit fly

Indexed as

Drosophila melanogasterlearned helplessnesslearningmemoryserotonin

Identifiers

PMID29321732
PMCPMC5732137

What OpenQuestion holds

Textmetadata
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.