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Exploring the Effects of Antisocial Personality Traits on Brain Potentials during Face Processing

Overview of attention for article published in PLOS ONE, November 2012
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Title
Exploring the Effects of Antisocial Personality Traits on Brain Potentials during Face Processing
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050283
Pubmed ID
Authors

Daniela M. Pfabigan, Johanna Alexopoulos, Uta Sailer

Abstract

Antisocial individuals are characterized to display self-determined and inconsiderate behavior during social interaction. Furthermore, recognition deficits regarding fearful facial expressions have been observed in antisocial populations. These observations give rise to the question whether or not antisocial behavioral tendencies are associated with deficits in basic processing of social cues. The present study investigated early visual stimulus processing of social stimuli in a group of healthy female individuals with antisocial behavioral tendencies compared to individuals without these tendencies while measuring event-related potentials (P1, N170). To this end, happy and angry faces served as feedback stimuli which were embedded in a gambling task. Results showed processing differences as early as 88-120 ms after feedback onset. Participants low on antisocial traits displayed larger P1 amplitudes than participants high on antisocial traits. No group differences emerged for N170 amplitudes. Attention allocation processes, individual arousal levels as well as face processing are discussed as possible causes of the observed group differences in P1 amplitudes. In summary, the current data suggest that sensory processing of facial stimuli is functionally intact but less ready to respond in healthy individuals with antisocial tendencies.

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Geographical breakdown

Country Count As %
Japan 1 1%
United Kingdom 1 1%
Colombia 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Master 12 16%
Researcher 11 15%
Student > Bachelor 8 11%
Student > Doctoral Student 5 7%
Other 12 16%
Unknown 14 19%
Readers by discipline Count As %
Psychology 32 43%
Medicine and Dentistry 8 11%
Neuroscience 6 8%
Agricultural and Biological Sciences 3 4%
Social Sciences 3 4%
Other 5 7%
Unknown 17 23%