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Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights

Overview of attention for article published in PLOS ONE, February 2012
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Title
Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031001
Pubmed ID
Authors

Taosheng Liu, Ana Pinheiro, Zhongxin Zhao, Paul G. Nestor, Robert W. McCarley, Margaret A. Niznikiewicz

Abstract

Both facial expression and tone of voice represent key signals of emotional communication but their brain processing correlates remain unclear. Accordingly, we constructed a novel implicit emotion recognition task consisting of simultaneously presented human faces and voices with neutral, happy, and angry valence, within the context of recognizing monkey faces and voices task. To investigate the temporal unfolding of the processing of affective information from human face-voice pairings, we recorded event-related potentials (ERPs) to these audiovisual test stimuli in 18 normal healthy subjects; N100, P200, N250, P300 components were observed at electrodes in the frontal-central region, while P100, N170, P270 were observed at electrodes in the parietal-occipital region. Results indicated a significant audiovisual stimulus effect on the amplitudes and latencies of components in frontal-central (P200, P300, and N250) but not the parietal occipital region (P100, N170 and P270). Specifically, P200 and P300 amplitudes were more positive for emotional relative to neutral audiovisual stimuli, irrespective of valence, whereas N250 amplitude was more negative for neutral relative to emotional stimuli. No differentiation was observed between angry and happy conditions. The results suggest that the general effect of emotion on audiovisual processing can emerge as early as 200 msec (P200 peak latency) post stimulus onset, in spite of implicit affective processing task demands, and that such effect is mainly distributed in the frontal-central region.

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Geographical breakdown

Country Count As %
United States 2 2%
Portugal 2 2%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 111 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Master 18 15%
Researcher 17 15%
Student > Bachelor 8 7%
Professor > Associate Professor 8 7%
Other 24 21%
Unknown 17 15%
Readers by discipline Count As %
Psychology 50 43%
Neuroscience 15 13%
Agricultural and Biological Sciences 9 8%
Medicine and Dentistry 7 6%
Engineering 4 3%
Other 8 7%
Unknown 24 21%