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The Derived Allele of ASPM Is Associated with Lexical Tone Perception

Overview of attention for article published in PLOS ONE, April 2012
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Title
The Derived Allele of ASPM Is Associated with Lexical Tone Perception
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034243
Pubmed ID
Authors

Patrick C. M. Wong, Bharath Chandrasekaran, Jing Zheng

Abstract

The ASPM and MCPH1 genes have been implicated in the adaptive evolution of the human brain [Mekel-Bobrov N. et al., 2005. Ongoing adaptive evolution of ASPM, a brain size determinant in homo sapiens. Science 309; Evans P.D. et al., 2005. Microcephalin, a gene regulating brain size, continues to evolve adaptively in humans. Science 309]. Curiously, experimental attempts have failed to connect the implicated SNPs in these genes with higher-level brain functions. These results stand in contrast with a population-level study linking the population frequency of their alleles with the tendency to use lexical tones in a language [Dediu D., Ladd D.R., 2007. Linguistic tone is related to the population frequency of the adaptive haplogroups of two brain size genes, ASPM and microcephalin. Proc. Natl. Acad. Sci. U.S.A. 104]. In the present study, we found a significant correlation between the load of the derived alleles of ASPM and tone perception in a group of European Americans who did not speak a tone language. Moreover, preliminary results showed a significant correlation between ASPM load and hemodynamic responses to lexical tones in the auditory cortex, and such correlation remained after phonemic awareness, auditory working memory, and non-verbal IQ were controlled. As in previous studies, no significant correlation between ASPM and cognitive measures were found. MCPH1 did not correlate with any measures. These results suggest that the association between the recently derived allele of ASPM is likely to be specific and is tied to higher level brain functions in the temporal cortex related to human communication.

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Geographical breakdown

Country Count As %
China 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 8 14%
Student > Master 7 12%
Professor 6 10%
Student > Bachelor 6 10%
Other 13 22%
Unknown 5 8%
Readers by discipline Count As %
Linguistics 11 19%
Psychology 9 15%
Agricultural and Biological Sciences 9 15%
Neuroscience 6 10%
Social Sciences 5 8%
Other 10 17%
Unknown 9 15%