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Facial EMG Responses to Emotional Expressions Are Related to Emotion Perception Ability

Overview of attention for article published in PLOS ONE, January 2014
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Title
Facial EMG Responses to Emotional Expressions Are Related to Emotion Perception Ability
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0084053
Pubmed ID
Authors

Janina Künecke, Andrea Hildebrandt, Guillermo Recio, Werner Sommer, Oliver Wilhelm

Abstract

Although most people can identify facial expressions of emotions well, they still differ in this ability. According to embodied simulation theories understanding emotions of others is fostered by involuntarily mimicking the perceived expressions, causing a "reactivation" of the corresponding mental state. Some studies suggest automatic facial mimicry during expression viewing; however, findings on the relationship between mimicry and emotion perception abilities are equivocal. The present study investigated individual differences in emotion perception and its relationship to facial muscle responses - recorded with electromyogram (EMG)--in response to emotional facial expressions. N° = °269 participants completed multiple tasks measuring face and emotion perception. EMG recordings were taken from a subsample (N° = °110) in an independent emotion classification task of short videos displaying six emotions. Confirmatory factor analyses of the m. corrugator supercilii in response to angry, happy, sad, and neutral expressions showed that individual differences in corrugator activity can be separated into a general response to all faces and an emotion-related response. Structural equation modeling revealed a substantial relationship between the emotion-related response and emotion perception ability, providing evidence for the role of facial muscle activation in emotion perception from an individual differences perspective.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 1%
Portugal 2 <1%
Sweden 2 <1%
Chile 1 <1%
France 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
China 1 <1%
Other 1 <1%
Unknown 264 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 19%
Student > Master 49 18%
Student > Bachelor 32 12%
Researcher 28 10%
Student > Doctoral Student 15 5%
Other 50 18%
Unknown 52 19%
Readers by discipline Count As %
Psychology 116 42%
Neuroscience 23 8%
Engineering 17 6%
Computer Science 13 5%
Medicine and Dentistry 10 4%
Other 34 12%
Unknown 65 23%