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Executive Decision-Making in the Domestic Sheep

Overview of attention for article published in PLOS ONE, January 2011
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Title
Executive Decision-Making in the Domestic Sheep
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0015752
Pubmed ID
Authors

A. Jennifer Morton, Laura Avanzo

Abstract

Two new large animal models of Huntington's disease (HD) have been developed recently, an old world monkey (macaque) and a sheep. Macaques, with their large brains and complex repertoire of behaviors are the 'gold-standard' laboratory animals for testing cognitive function, but there are many practical and ethical issues that must be resolved before HD macaques can be used for pre-clinical research. By contrast, despite their comparable brain size, sheep do not enjoy a reputation for intelligence, and are not used for pre-clinical cognitive testing. Given that cognitive decline is a major therapeutic target in HD, the feasibility of testing cognitive function in sheep must be explored if they are to be considered seriously as models of HD. Here we tested the ability of sheep to perform tests of executive function (discrimination learning, reversal learning and attentional set-shifting). Significantly, we found that not only could sheep perform discrimination learning and reversals, but they could also perform the intradimensional (ID) and extradimensional (ED) set-shifting tasks that are sensitive tests of cognitive dysfunction in humans. Their performance on the ID/ED shifts mirrored that seen in humans and macaques, with significantly more errors to reach criterion in the ED than the ID shift. Thus, sheep can perform 'executive' cognitive tasks that are an important part of the primate behavioral repertoire, but which have never been shown previously to exist in any other large animal. Sheep have great potential, not only for use as a large animal model of HD, but also for studying cognitive function and the evolution of complex behaviours in normal animals.

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Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 4 3%
Italy 1 <1%
Austria 1 <1%
Germany 1 <1%
India 1 <1%
Iceland 1 <1%
Canada 1 <1%
Unknown 117 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 25%
Student > Ph. D. Student 23 18%
Student > Bachelor 14 11%
Professor 12 9%
Student > Master 8 6%
Other 23 18%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 25%
Psychology 23 18%
Medicine and Dentistry 14 11%
Neuroscience 12 9%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 24 18%
Unknown 22 17%