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Trial-Type Dependent Frames of Reference for Value Comparison

Overview of attention for article published in PLoS Computational Biology, September 2013
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Title
Trial-Type Dependent Frames of Reference for Value Comparison
Published in
PLoS Computational Biology, September 2013
DOI 10.1371/journal.pcbi.1003225
Pubmed ID
Authors

Laurence T. Hunt, Mark W. Woolrich, Matthew F. S. Rushworth, Timothy E. J. Behrens

Abstract

A central question in cognitive neuroscience regards the means by which options are compared and decisions are resolved during value-guided choice. It is clear that several component processes are needed; these include identifying options, a value-based comparison, and implementation of actions to execute the decision. What is less clear is the temporal precedence and functional organisation of these component processes in the brain. Competing models of decision making have proposed that value comparison may occur in the space of alternative actions, or in the space of abstract goods. We hypothesized that the signals observed might in fact depend upon the framing of the decision. We recorded magnetoencephalographic data from humans performing value-guided choices in which two closely related trial types were interleaved. In the first trial type, each option was revealed separately, potentially causing subjects to estimate each action's value as it was revealed and perform comparison in action-space. In the second trial type, both options were presented simultaneously, potentially leading to comparison in abstract goods-space prior to commitment to a specific action. Distinct activity patterns (in distinct brain regions) on the two trial types demonstrated that the observed frame of reference used for decision making indeed differed, despite the information presented being formally identical, between the two trial types. This provides a potential reconciliation of conflicting accounts of value-guided choice.

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Geographical breakdown

Country Count As %
France 2 2%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 23%
Researcher 20 20%
Student > Master 14 14%
Student > Bachelor 10 10%
Student > Doctoral Student 9 9%
Other 12 12%
Unknown 11 11%
Readers by discipline Count As %
Neuroscience 25 25%
Psychology 24 24%
Agricultural and Biological Sciences 15 15%
Medicine and Dentistry 5 5%
Arts and Humanities 2 2%
Other 8 8%
Unknown 20 20%