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Effect of Intentional Bias on Agency Attribution of Animated Motion: An Event-Related fMRI Study

Overview of attention for article published in PLOS ONE, November 2012
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Title
Effect of Intentional Bias on Agency Attribution of Animated Motion: An Event-Related fMRI Study
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049053
Pubmed ID
Authors

Naoyuki Osaka, Takashi Ikeda, Mariko Osaka

Abstract

Animated movements of simple geometric shapes can readily be interpreted as depicting social events in which animate agents are engaged in intentional activity. However, the brain regions associated with such intention have not been clearly elucidated. In this study, intentional bias was manipulated using shape and pattern animations while measuring associated brain activity using event-related functional magnetic resonance imaging (fMRI). Twenty-five higher-intention involved and twenty-five lower-intention involved animations were presented to participants. Behavioral results showed that the degree of agency attribution of the mental state increased as intentional involvement increased. fMRI results revealed that the posterior superior temporal sulcus (STS), inferior temporal gyrus (ITG), inferior frontal gyrus (IFG), premotor, temporal pole, supramarginal gyrus, and superior parietal lobule (SPL) were activated while participants viewed the high-intention animations. In contrast, occipital, lingual, and middle frontal gyri were activated while the participants viewed the low-intention animations. These findings suggest that as agent attribution increases, the visual brain changes its functional role to the intentional brain and becomes a flexible network for processing information about social interaction.

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The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 2%
Germany 1 2%
Unknown 62 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Student > Master 12 18%
Researcher 6 9%
Professor > Associate Professor 5 8%
Student > Doctoral Student 4 6%
Other 15 23%
Unknown 9 14%
Readers by discipline Count As %
Psychology 22 33%
Neuroscience 6 9%
Computer Science 3 5%
Medicine and Dentistry 3 5%
Linguistics 2 3%
Other 14 21%
Unknown 16 24%