Evidence map›Paper›PMID 26107173›Full record

ArticlePloS one2015

Core and Shell Song Systems Unique to the Parrot Brain.

Mukta Chakraborty, Solveig Walløe, Signe Nedergaard, Emma E Fridel, Torben Dabelsteen, Bente Pakkenberg, Mads F Bertelsen, Gerry M Dorrestein, Steven E Brauth, Sarah E Durand and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.4field-weighted citation impact, top 4% of its field
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

34 citing papers in PubMed, 84 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. A dual larynx motor networks hypothesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  14. Article
  15. Re-evaluating vocal production learning in non-oscine birds.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  16. Vocal learning as a preadaptation for the evolution of human beat perception and synchronization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  17. Review
  18. Review
  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

11 authors at 7 institutions in 2 countries.

Mukta ChakrabortyDepartment of Neurobiology, Duke University Medical Center, Durham, NC, United States of America; Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America.
Solveig WalløeDepartment of Biology, University of Copenhagen, Copenhagen, Denmark; Research Laboratory for Stereology and Neuroscience, Bispebjerg University Hospital, Copenhagen, Denmark.
Signe NedergaardDanish National Police, National Centre of Forensic Services, Vanloese, Denmark.
Emma E FridelDepartment of Neurobiology, Duke University Medical Center, Durham, NC, United States of America.
Torben DabelsteenDepartment of Biology, University of Copenhagen, Copenhagen, Denmark.
Bente PakkenbergResearch Laboratory for Stereology and Neuroscience, Bispebjerg University Hospital, Copenhagen, Denmark.
Mads F BertelsenCopenhagen Zoo, Frederiksberg, Denmark.
Gerry M DorresteinDutch Research Institute of Avian and Exotic Animals, Veldhoven, The Netherlands.
Steven E BrauthUniversity of Maryland, College Park, MA, United States of America.
Sarah E DurandLaGuardia Community College, New York, NY, United States of America.
Erich D JarvisDepartment of Neurobiology, Duke University Medical Center, Durham, NC, United States of America; Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America.
Duke University Hospital · USUniversity of Copenhagen · DKBispebjerg Hospital · DKCopenhagen Zoo · DKDanish National Police · DKLaGuardia Community College · USUniversity of Maryland, College Park · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

The ability to imitate complex sounds is rare, and among birds has been found only in parrots, songbirds, and hummingbirds. Parrots exhibit the most advanced vocal mimicry among non-human animals. A few studies have noted differences in connectivity, brain position and shape in the vocal learning systems of parrots relative to songbirds and hummingbirds. However, only one parrot species, the budgerigar, has been examined and no differences in the presence of song system structures were found with other avian vocal learners. Motivated by questions of whether there are important differences in the vocal systems of parrots relative to other vocal learners, we used specialized constitutive gene expression, singing-driven gene expression, and neural connectivity tracing experiments to further characterize the song system of budgerigars and/or other parrots. We found that the parrot brain uniquely contains a song system within a song system. The parrot "core" song system is similar to the song systems of songbirds and hummingbirds, whereas the "shell" song system is unique to parrots. The core with only rudimentary shell regions were found in the New Zealand kea, representing one of the only living species at a basal divergence with all other parrots, implying that parrots evolved vocal learning systems at least 29 million years ago. Relative size differences in the core and shell regions occur among species, which we suggest could be related to species differences in vocal and cognitive abilities.

Indexed as

AnimalsBrainHumansLearningMusicNew ZealandParrotsVocalization, Animal

Identifiers

PMID26107173
PMCPMC4479475
OpenAlexW1598996539

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.