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Anatomic Brain Asymmetry in Vervet Monkeys

Overview of attention for article published in PLOS ONE, December 2011
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Title
Anatomic Brain Asymmetry in Vervet Monkeys
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028243
Pubmed ID
Authors

Scott C. Fears, Kevin Scheibel, Zvart Abaryan, Chris Lee, Susan K. Service, Matthew J. Jorgensen, Lynn A. Fairbanks, Rita M. Cantor, Nelson B. Freimer, Roger P. Woods

Abstract

Asymmetry is a prominent feature of human brains with important functional consequences. Many asymmetric traits show population bias, but little is known about the genetic and environmental sources contributing to inter-individual variance. Anatomic asymmetry has been observed in Old World monkeys, but the evidence for the direction and extent of asymmetry is equivocal and only one study has estimated the genetic contributions to inter-individual variance. In this study we characterize a range of qualitative and quantitative asymmetry measures in structural brain MRIs acquired from an extended pedigree of Old World vervet monkeys (nā€Š=ā€Š357), and implement variance component methods to estimate the proportion of trait variance attributable to genetic and environmental sources. Four of six asymmetry measures show pedigree-level bias and one of the traits has a significant heritability estimate of about 30%. We also found that environmental variables more significantly influence the width of the right compared to the left prefrontal lobe.

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The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Professor > Associate Professor 4 13%
Other 3 10%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Other 7 23%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 29%
Neuroscience 7 23%
Psychology 7 23%
Biochemistry, Genetics and Molecular Biology 2 6%
Sports and Recreations 1 3%
Other 1 3%
Unknown 4 13%