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Functional MRI in Awake Unrestrained Dogs

Overview of attention for article published in PLOS ONE, May 2012
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Title
Functional MRI in Awake Unrestrained Dogs
Published in
PLOS ONE, May 2012
DOI 10.1371/journal.pone.0038027
Pubmed ID
Authors

Gregory S. Berns, Andrew M. Brooks, Mark Spivak

Abstract

Because of dogs' prolonged evolution with humans, many of the canine cognitive skills are thought to represent a selection of traits that make dogs particularly sensitive to human cues. But how does the dog mind actually work? To develop a methodology to answer this question, we trained two dogs to remain motionless for the duration required to collect quality fMRI images by using positive reinforcement without sedation or physical restraints. The task was designed to determine which brain circuits differentially respond to human hand signals denoting the presence or absence of a food reward. Head motion within trials was less than 1 mm. Consistent with prior reinforcement learning literature, we observed caudate activation in both dogs in response to the hand signal denoting reward versus no-reward.

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X Demographics

The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 5 2%
United States 5 2%
Austria 4 1%
Germany 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Portugal 1 <1%
South Africa 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 295 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 17%
Researcher 53 17%
Student > Master 46 14%
Student > Bachelor 46 14%
Other 28 9%
Other 55 17%
Unknown 38 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 27%
Psychology 53 17%
Veterinary Science and Veterinary Medicine 35 11%
Medicine and Dentistry 23 7%
Neuroscience 22 7%
Other 45 14%
Unknown 55 17%