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New approaches to investigating social gestures in autism spectrum disorder

Overview of attention for article published in Journal of Neurodevelopmental Disorders, May 2012
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Title
New approaches to investigating social gestures in autism spectrum disorder
Published in
Journal of Neurodevelopmental Disorders, May 2012
DOI 10.1186/1866-1955-4-14
Pubmed ID
Authors

Kenneth T Kishida, Jian Li, Justin Schwind, Pendleton Read Montague

Abstract

The combination of economic games and human neuroimaging presents the possibility of using economic probes to identify biomarkers for quantitative features of healthy and diseased cognition. These probes span a range of important cognitive functions, but one new use is in the domain of reciprocating social exchange with other humans - a capacity perturbed in a number of psychopathologies. We summarize the use of a reciprocating exchange game to elicit neural and behavioral signatures for subjects diagnosed with autism spectrum disorder (ASD). Furthermore, we outline early efforts to capture features of social exchange in computational models and use these to identify quantitative behavioral differences between subjects with ASD and matched controls. Lastly, we summarize a number of subsequent studies inspired by the modeling results, which suggest new neural and behavioral signatures that could be used to characterize subtle deficits in information processing during interactions with other humans.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
China 1 1%
Ireland 1 1%
Japan 1 1%
Spain 1 1%
Unknown 86 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Student > Master 15 16%
Researcher 13 14%
Student > Bachelor 8 9%
Student > Doctoral Student 6 6%
Other 15 16%
Unknown 16 17%
Readers by discipline Count As %
Psychology 31 33%
Neuroscience 11 12%
Agricultural and Biological Sciences 7 8%
Medicine and Dentistry 6 6%
Social Sciences 5 5%
Other 14 15%
Unknown 19 20%