Evidence map›Paper›PMID 29709023›Full record

ArticlePloS one2018

Relationship between brain plasticity, learning and foraging performance in honey bees.

Amélie Cabirol, Alex J Cope, Andrew B Barron, Jean-Marc Devaud

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. When a bigger brain is better: The case of bee olfactory learning.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Experience-dependent plasticity in the olfactory system ofFrontiers in cellular neuroscience · 2023
    Review
  10. Article
  11. Article
  12. The Toll Route to Structural Brain Plasticity.Frontiers in physiology · 2021
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Reversal learning inLearning & memory (Cold Spring Harbor, N.Y.) · 2019
    Article
  18. Article
  19. 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.

Amélie CabirolDepartment of Biological Sciences, Macquarie University, North Ryde, NSW, Australia.ORCID 0000-0001-9376-1826
Alex J CopeDepartment of Computer Science, University of Sheffield, Sheffield, South Yorkshire, United Kingdom.
Andrew B BarronDepartment of Biological Sciences, Macquarie University, North Ryde, NSW, Australia.
Jean-Marc DevaudResearch Center on Animal Cognition, Center for Integrative Biology, Toulouse University, CNRS, UPS, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain structure and learning capacities both vary with experience, but the mechanistic link between them is unclear. Here, we investigated whether experience-dependent variability in learning performance can be explained by neuroplasticity in foraging honey bees. The mushroom bodies (MBs) are a brain center necessary for ambiguous olfactory learning tasks such as reversal learning. Using radio frequency identification technology, we assessed the effects of natural variation in foraging activity, and the age when first foraging, on both performance in reversal learning and on synaptic connectivity in the MBs. We found that reversal learning performance improved at foraging onset and could decline with greater foraging experience. If bees started foraging before the normal age, as a result of a stress applied to the colony, the decline in learning performance with foraging experience was more severe. Analyses of brain structure in the same bees showed that the total number of synaptic boutons at the MB input decreased when bees started foraging, and then increased with greater foraging intensity. At foraging onset MB structure is therefore optimized for bees to update learned information, but optimization of MB connectivity deteriorates with foraging effort. In a computational model of the MBs sparser coding of information at the MB input improved reversal learning performance. We propose, therefore, a plausible mechanistic relationship between experience, neuroplasticity, and cognitive performance in a natural and ecological context.

Indexed as

Feeding BehaviorLearningNeuronal PlasticityAnimalsBeesBehavior, AnimalBrainCognitionImage Processing, Computer-AssistedModels, StatisticalMushroom BodiesPresynaptic TerminalsRadio Frequency Identification DeviceRadio WavesSoftwareSynapses

Identifiers

PMID29709023
PMCPMC5927457

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.