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Subjecting Elite Athletes to Inspiratory Breathing Load Reveals Behavioral and Neural Signatures of Optimal Performers in Extreme Environments

Overview of attention for article published in PLOS ONE, January 2012
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Title
Subjecting Elite Athletes to Inspiratory Breathing Load Reveals Behavioral and Neural Signatures of Optimal Performers in Extreme Environments
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029394
Pubmed ID
Authors

Martin P. Paulus, Taru Flagan, Alan N. Simmons, Kristine Gillis, Sante Kotturi, Nathaniel Thom, Douglas C. Johnson, Karl F. Van Orden, Paul W. Davenport, Judith L. Swain

Abstract

It is unclear whether and how elite athletes process physiological or psychological challenges differently than healthy comparison subjects. In general, individuals optimize exercise level as it relates to differences between expected and experienced exertion, which can be conceptualized as a body prediction error. The process of computing a body prediction error involves the insular cortex, which is important for interoception, i.e. the sense of the physiological condition of the body. Thus, optimal performance may be related to efficient minimization of the body prediction error. We examined the hypothesis that elite athletes, compared to control subjects, show attenuated insular cortex activation during an aversive interoceptive challenge.

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Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
France 1 <1%
Unknown 165 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 22%
Student > Ph. D. Student 32 19%
Student > Master 16 9%
Student > Doctoral Student 13 8%
Student > Bachelor 13 8%
Other 34 20%
Unknown 23 14%
Readers by discipline Count As %
Psychology 41 24%
Medicine and Dentistry 21 12%
Sports and Recreations 18 11%
Neuroscience 18 11%
Agricultural and Biological Sciences 12 7%
Other 31 18%
Unknown 28 17%