Evidence map›Paper›PMID 26052371›Full record

ArticleComparative cognition & behavior reviews

Recent Advances in the Genetics of Vocal Learning.

Michael C Condro, Stephanie A White

Open access · diamondAbstract read
In one paragraph

Article in Comparative cognition & behavior reviews. 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
3.1field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Review
  8. What bats have to say about speech and language.Psychonomic bulletin & review · 2017
    Article
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  11. Review
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

2 authors at 1 institution in 1 country.

Michael C CondroMolecular, Cellular and Integrative Physiology Interdepartmental Program, University of California, Los Angeles.
Stephanie A WhiteDepartment of Integrative Biology and Physiology, University of California, Los Angeles.
University of California, Los Angeles · US

Funding

Formation and Function of Circuitry for Vocal LearningR01MH070712 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WHITE, STEPHANIE ANN · 2005 to 2017
$3.1M
Cntnap2 in a behavioral model of autismR21HD065271 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WHITE, STEPHANIE ANN · 2009 to 2010
$528k
NICHD NIH HHS R21 HD065271NIMH NIH HHS R01 MH070712
6 · The paper itself

Abstract

Language is a complex communicative behavior unique to humans, and its genetic basis is poorly understood. Genes associated with human speech and language disorders provide some insights, originating with the FOXP2 transcription factor, a mutation in which is the source of an inherited form of developmental verbal dyspraxia. Subsequently, targets of FOXP2 regulation have been associated with speech and language disorders, along with other genes. Here, we review these recent findings that implicate genetic factors in human speech. Due to the exclusivity of language to humans, no single animal model is sufficient to study the complete behavioral effects of these genes. Fortunately, some animals possess subcomponents of language. One such subcomponent is vocal learning, which though rare in the animal kingdom, is shared with songbirds. We therefore discuss how songbird studies have contributed to the current understanding of genetic factors that impact human speech, and support the continued use of this animal model for such studies in the future.

Indexed as

AutismBasal gangliaCntnap2FoxP1FoxP2KE familySpeechVocal learningZebra finch

Identifiers

PMID26052371
PMCPMC4457475
OpenAlexW2080684427

What OpenQuestion holds

Textmetadata
LicenceTDM
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.