scholarly journals Communicating emotion through facial expressions: Social consequences and neural correlates

2021 ◽  
Author(s):  
W. Craig Williams ◽  
Yuan Chang Leong ◽  
Eleanor A. Collier ◽  
Erik C Nook ◽  
Jae-Young Son ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Brain Structures ◽  
Neural Correlates ◽  
Social Consequences ◽  
Emg Activity ◽  
Facial Electromyography ◽  
Facial Emg ◽  
Emotion Experience ◽  
Social Settings ◽  
Social Tuning

Individuals modulate their facial emotion expressions in the presence of other people. Does this social tuning reflect changes in emotional experiences or attempts to communicate emotions to others? Here, “target” participants underwent facial electromyography (EMG) recording while viewing emotion-inducing images, believing they were either visible or not visible to “observer” participants. In Study 1, when targets believed they were visible, they produced greater EMG activity and were more accurately perceived by observers, but did not report accompanying changes in their emotion experience. In Study 2, simultaneous facial EMG recording and fMRI scanning revealed that social tuning of targets’ facial expressions correlated with activity in brain structures associated with mentalizing. These findings speak to long-standing, competing accounts of emotion expression, and suggest that individuals actively tune their facial expressions in social settings to communicate their experiences to others.

scholarly journals Neural correlates of communicating emotion through facial expressions: A simultaneous fMRI and facial EMG study

2019 ◽  
Author(s):  
W. Craig Williams ◽  
Yuan Chang Leong ◽  
Eleanor A. Collier ◽  
jamil zaki
Keyword(s):  
Facial Expressions ◽  
Ventral Striatum ◽  
Brain Structures ◽  
Neural Correlates ◽  
Anterior Cingulate ◽  
Neural Systems ◽  
Emotional States ◽  
Facial Muscle ◽  
Temporoparietal Junction ◽  
Facial Emg

People commonly communicate emotional states through facial expressions. However, existing neuroimaging research focuses almost entirely on brain systems involved in perceiving expressions, leaving unclear whether similar systems are recruited when people generate expressions. Pairs of friends took turns viewing positive and neutral images while undergoing simultaneous fMRI scanning and EMG recording of zygomaticus major, a facial muscle associated with smiling. Participants were instructed that they were either visible to their friend or not visible during image-viewing. When participants viewed positive images, their EMG responses parametrically tracked activity in brain structures associated with experiencing emotion, including ventral striatum, caudate, insula, and anterior cingulate cortex. When further instructed that they were visible to their friend, participants’ EMG responses also tracked activity in structures associated with mentalizing, including temporoparietal junction, superior temporal sulcus, and precuneus. These findings suggest that neural systems involved in perceiving facial expressions also support their production during communication.

scholarly journals Virtual Character Facial Expressions Influence Human Brain and Facial EMG Activity in a Decision-Making Game

2018 ◽  
Vol 9 (2) ◽  
pp. 285-298 ◽  
Author(s):  
Niklas Ravaja ◽  
Gary Bente ◽  
Jari Katsyri ◽  
Mikko Salminen ◽  
Tapio Takala
Keyword(s):  
Decision Making ◽  
Human Brain ◽  
Facial Expressions ◽  
Emg Activity ◽  
Virtual Character ◽  
Facial Emg

scholarly journals Learning of Facial Responses to Faces Associated with Positive or Negative Emotional Expressions

2013 ◽  
Vol 16 ◽  
Author(s):  
Luis Aguado ◽  
Francisco J. Román ◽  
Sonia Rodríguez ◽  
Teresa Diéguez-Risco ◽  
Verónica Romero-Ferreiro ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Emotional Expression ◽  
Affective Responses ◽  
Emg Activity ◽  
Emotional Expressions ◽  
Affective Valence ◽  
Affective Meaning ◽  
Facial Electromyography ◽  
Corrugator Supercilii ◽  
Facial Expressions Of Emotion

AbstractThe possibility that facial expressions of emotion change the affective valence of faces through associative learning was explored using facial electromyography (EMG). In Experiment 1, EMG activity was registered while the participants (N = 57) viewed sequences of neutral faces (Stimulus 1 or S1) changing to either a happy or an angry expression (Stimulus 2 or S2). As a consequence of learning, participants who showed patterning of facial responses in the presence of angry and happy faces, that is, higher Corrugator Supercilii (CS) activity in the presence of angry faces and higher Zygomaticus Major (ZM) activity in the presence of happy faces, showed also a similar pattern when viewing the corresponding S1 faces. Explicit evaluations made by an independent sample of participants (Experiment 2) showed that evaluation of S1 faces was changed according to the emotional expression with which they had been associated. These results are consistent with an interpretation of rapid facial reactions to faces as affective responses that reflect the valence of the stimulus and that are sensitive to learned changes in the affective meaning of faces.

scholarly journals Facial EMG Correlates of Subjective Hedonic Responses During Food Consumption

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1174 ◽  
Author(s):  
Wataru Sato ◽  
Kazusa Minemoto ◽  
Akira Ikegami ◽  
Makoto Nakauma ◽  
Takahiro Funami ◽  
...  
Keyword(s):  
Food Consumption ◽  
Emg Activity ◽  
Physiological Measures ◽  
Subjective Ratings ◽  
Facial Electromyography ◽  
Facial Emg ◽  
Corrugator Supercilii ◽  
Hedonic Experience ◽  
Valence And Arousal ◽  
Liking Rating

An exploration of physiological correlates of subjective hedonic responses while eating food has practical and theoretical significance. Previous psychophysiological studies have suggested that some physiological measures, including facial electromyography (EMG), may correspond to hedonic responses while viewing food images or drinking liquids. However, whether consuming solid food could produce such subjective–physiological concordance remains untested. To investigate this issue, we assessed participants’ subjective ratings of liking, wanting, valence, and arousal while they consumed gel-type food stimuli of various flavors and textures. We additionally measured their physiological signals, including facial EMG from the corrugator supercilii. The results showed that liking, wanting, and valence ratings were negatively correlated with corrugator supercilii EMG activity. Only the liking rating maintained a negative association with corrugator supercilii activity when the other ratings were partialed out. These data suggest that the subjective hedonic experience, specifically the liking state, during food consumption can be objectively assessed using facial EMG signals and may be influenced by such somatic signals.

The Neural Correlates of Emotion Experience – Mood Induction with Facial Expressions and Classical Music

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S191
Author(s):  
M Dyck ◽  
J Loughead ◽  
F Boers ◽  
T Kellermann ◽  
K Ruparel ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Mood Induction ◽  
Classical Music ◽  
Neural Correlates ◽  
Emotion Experience

scholarly journals Facial EMG Activity Is Associated with Hedonic Experiences but Not Nutritional Values While Viewing Food Images

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 11
Author(s):  
Wataru Sato ◽  
Sakiko Yoshikawa ◽  
Tohru Fushiki
Keyword(s):  
Nutritional Assessment ◽  
Practical Interest ◽  
Emg Activity ◽  
Skin Potential ◽  
Nutritional Values ◽  
Facial Electromyography ◽  
Facial Emg ◽  
Corrugator Supercilii ◽  
Food Images ◽  
Valence And Arousal

The physiological correlates of hedonic/emotional experiences to visual food stimuli are of theoretical and practical interest. Previous psychophysiological studies have shown that facial electromyography (EMG) signals were related to subjective hedonic ratings in response to food images. However, because other data showed positive correlations between hedonic ratings and objective nutritional values of food, whether the facial EMG reactions to food images could reflect the hedonic evaluation or nutritional assessment of food remains unknown. To address this issue, we measured subjective hedonic ratings (liking, wanting, valence, and arousal) and physiological signals (facial EMG of the corrugator supercilii, zygomatic major, masseter, and suprahyoid muscles, skin potential responses, and heart rates) while participants observed food images that had objective nutritional information (caloric, carbohydrate, fat, and protein contents). The results revealed that zygomatic major EMG activity was positively correlated with ratings of liking, wanting, and valence, but not with any objective nutritional value. These data indicate that facial EMG signals in response to food images reflect subjective hedonic experiences, but not objective nutritional values, associated with the food item.

scholarly journals Transmitting and Decoding Facial Expressions

2005 ◽  
Vol 16 (3) ◽  
pp. 184-189 ◽  
Author(s):  
Marie L. Smith ◽  
Garrison W. Cottrell ◽  
FrédéAric Gosselin ◽  
Philippe G. Schyns
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
Brain Structures ◽  
Human Face ◽  
The Face ◽  
The Brain

This article examines the human face as a transmitter of expression signals and the brain as a decoder of these expression signals. If the face has evolved to optimize transmission of such signals, the basic facial expressions should have minimal overlap in their information. If the brain has evolved to optimize categorization of expressions, it should be efficient with the information available from the transmitter for the task. In this article, we characterize the information underlying the recognition of the six basic facial expression signals and evaluate how efficiently each expression is decoded by the underlying brain structures.

scholarly journals Neural correlates of victimization in psychosis: differences in brain response to angry faces

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Elisabeth C. D. van der Stouwe ◽  
Jooske T. van Busschbach ◽  
Esther M. Opmeer ◽  
Bertine de Vries ◽  
Jan-Bernard C. Marsman ◽  
...  
Keyword(s):  
Linear Model ◽  
Facial Expressions ◽  
Brain Activation ◽  
General Linear Model ◽  
Neural Correlates ◽  
Brain Response ◽  
Sensorimotor Network ◽  
The Past ◽  
Regional Brain ◽  
Increased Risk

Abstract Individuals with psychosis are at an increased risk of victimization. Processing of facial expressions has been suggested to be associated with victimization in this patient group. Especially processing of angry expressions may be relevant in the context of victimization. Therefore, differences in brain activation and connectivity between victimized and nonvictimized patients during processing of angry faces were investigated. Thirty-nine patients, of whom nineteen had experienced threats, assaults, or sexual violence in the past 5 years, underwent fMRI scanning, during which they viewed angry and neutral facial expressions. Using general linear model (GLM) analyses, generalized psychophysiological (gPPI) analysis and independent component analyses (ICA) differences in brain activation and connectivity between groups in response to angry faces were investigated. Whereas differences in regional brain activation GLM and gPPI analyses yielded no differences between groups, ICA revealed more deactivation of the sensorimotor network in victimized participants. Deactivation of the sensorimotor network in response to angry faces in victimized patients, might indicate a freeze reaction to threatening stimuli, previously observed in traumatized individuals.

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