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Lying about the Valence of Affective Pictures: An fMRI Study

Overview of attention for article published in PLOS ONE, August 2010
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Title
Lying about the Valence of Affective Pictures: An fMRI Study
Published in
PLOS ONE, August 2010
DOI 10.1371/journal.pone.0012291
Pubmed ID
Authors

Tatia M. C. Lee, Tiffany M. Y. Lee, Adrian Raine, Chetwyn C. H. Chan

Abstract

The neural correlates of lying about affective information were studied using a functional magnetic resonance imaging (fMRI) methodology. Specifically, 13 healthy right-handed Chinese men were instructed to lie about the valence, positive or negative, of pictures selected from the International Affective Picture System (IAPS) while their brain activity was scanned by a 3T Philip Achieva scanner. The key finding is that the neural activity associated with deception is valence-related. Comparing to telling the truth, deception about the valence of the affectively positive pictures was associated with activity in the inferior frontal, cingulate, inferior parietal, precuneus, and middle temporal regions. Lying about the valence of the affectively negative pictures, on the other hand, was associated with activity in the orbital and medial frontal regions. While a clear valence-related effect on deception was observed, common neural regions were also recruited for the process of deception about the valence of the affective pictures. These regions included the lateral prefrontal and inferior parietal regions. Activity in these regions has been widely reported in fMRI studies on deception using affectively-neutral stimuli. The findings of this study reveal the effect of valence on the neural activity associated with deception. Furthermore, the data also help to illustrate the complexity of the neural mechanisms underlying deception.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Germany 2 2%
United Kingdom 2 2%
Iran, Islamic Republic of 1 <1%
Portugal 1 <1%
Spain 1 <1%
Poland 1 <1%
Unknown 98 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 22 20%
Student > Master 15 14%
Student > Bachelor 11 10%
Student > Postgraduate 7 6%
Other 18 16%
Unknown 14 13%
Readers by discipline Count As %
Psychology 51 46%
Neuroscience 9 8%
Agricultural and Biological Sciences 9 8%
Medicine and Dentistry 7 6%
Engineering 3 3%
Other 9 8%
Unknown 22 20%