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Williams syndrome, human self-domestication, and language evolution

Authors: Benítez-Burraco, Antonio; Niego, Amy;

Williams syndrome, human self-domestication, and language evolution

Abstract

Language evolution resulted from changes in our biology, behavior, and culture. One source of these changes might be human self-domestication. Williams syndrome (WS) is a clinical condition with a clearly defined genetic basis and resulting in a distinctive behavioral and cognitive profile, including enhanced sociability. In this paper we show evidence that the WS phenotype can be satisfactorily construed as a hyper-domesticated human phenotype, plausibly resulting from the effect of the WS hemydeletion on several candidates for domestication and neural crest function. We also discuss the consequences of this link between domestication and WS for our current understanding of language evolution.

Country
Spain
Keywords

Self-domestication, self-domestication, Williams syndrome, language impairment, Language evolution, BF1-990, bepress|Life Sciences|Neuroscience and Neurobiology, language evolution, Neural crest, PsyArXiv|Neuroscience, bepress|Life Sciences|Neuroscience and Neurobiology|Behavioral Neurobiology, gene expression, Psychology, Gene expression, PsyArXiv|Neuroscience|Behavioral Neuroscience, Language impairment, neural crest

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    26
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Average
Top 10%
Green
gold