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Implicitly Priming the Social Brain: Failure to Find Neural Effects

Overview of attention for article published in PLOS ONE, February 2013
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Title
Implicitly Priming the Social Brain: Failure to Find Neural Effects
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056596
Pubmed ID
Authors

Katherine E. Powers, Todd F. Heatherton

Abstract

Humans have a fundamental need for social relationships. Rejection from social groups is especially detrimental, rendering the ability to detect threats to social relationships and respond in adaptive ways critical. Indeed, previous research has shown that experiencing social rejection alters the processing of subsequent social cues in a variety of socially affiliative and avoidant ways. Because social perception and cognition occurs spontaneously and automatically, detecting threats to social relationships may occur without conscious awareness or control. Here, we investigated the automaticity of social threat detection by examining how implicit primes affect neural responses to social stimuli. However, despite using a well-established implicit priming paradigm and large sample size, we failed to find any evidence that implicit primes induced changes at the neural level. That implicit primes influence behavior has been demonstrated repeatedly and across a variety of domains, and our goal is not to question these effects. Rather, we offer the present study as cautionary evidence that such a paradigm may not be amenable to scanning in an fMRI environment.

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The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Canada 1 2%
Japan 1 2%
United States 1 2%
Luxembourg 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 8 16%
Student > Master 8 16%
Other 5 10%
Professor 3 6%
Other 12 24%
Unknown 2 4%
Readers by discipline Count As %
Psychology 28 57%
Medicine and Dentistry 4 8%
Neuroscience 4 8%
Agricultural and Biological Sciences 3 6%
Social Sciences 2 4%
Other 4 8%
Unknown 4 8%