scholarly journals The neural correlates of emotion perception: An fMRI test of the Facial Feedback Hypothesis, using a modified Strack technique that manipulates facial expressions whilst viewing disgusting, sad or happy stimuli

2013 ◽  
Vol 7 ◽  
Author(s):  
Ramachandran Nayana ◽  
Hsu Chun-Wei ◽  
Hallam Glyn ◽  
Farrow Tom
Keyword(s):  
Facial Expressions ◽  
Emotion Perception ◽  
Neural Correlates ◽  
Facial Feedback ◽  
Facial Feedback Hypothesis

scholarly journals Demand characteristics moderate, but do not fully account for, the effects of facial feedback on emotional experience

2020 ◽  
Author(s):  
Nicholas Alvaro Coles ◽  
Lowell Gaertner ◽  
Brooke Frohlich ◽  
Jeff T. Larsen ◽  
Dana Basnight-Brown
Keyword(s):  
United States ◽  
University Students ◽  
Facial Expressions ◽  
Emotional Experience ◽  
The United States ◽  
Feedback Effects ◽  
Demand Characteristics ◽  
Facial Feedback ◽  
Facial Feedback Hypothesis

The facial feedback hypothesis suggests that an individual’s facial expressions can influence their emotional experience (e.g., that smiling can make one feel happier). However, a reoccurring concern is that demand characteristics drive this effect. Across three experiments (n = 250, 192, 131), university students in the United States and Kenya posed happy, angry, and neutral expressions and self-reported their emotions following a demand characteristics manipulation. To manipulate demand characteristics we either (a) told participants we hypothesized their poses would influence their emotions, (b) told participants we hypothesized their poses would not influence their emotions, or (c) did not tell participants a hypothesis. Results indicated that demand characteristics moderated the effects of facial poses on self-reported emotion. However, facial poses still influenced self-reported emotion when participants were told we hypothesized their poses would not influence emotion. These results indicate that facial feedback effects are not solely an artifact of demand characteristics.

scholarly journals Smiling By Way of Zygomatic Electrical Stimulation: Investigating the Facial Feedback Hypothesis

2021 ◽  
pp. 16-22
Author(s):  
Laura Warren
Keyword(s):  
Electrical Stimulation ◽  
Facial Expressions ◽  
Positive Mood ◽  
Facial Muscle ◽  
Affective States ◽  
Facial Feedback ◽  
Muscle Region ◽  
Facial Feedback Hypothesis

While it is widely accepted that affective states precede facial expressions, the facial feedback hypothesis (FFH) proposes the inverse. The FFH postulates that facial muscle region activity (e.g., smiling or frowning) directly influences the experience of emotion. The purpose of the present study was to evaluate the validity of the FFH - specifically whether smiling independently enhances positive mood.

scholarly journals A Multi-Lab Test of the Facial Feedback Hypothesis by The Many Smiles Collaboration

2019 ◽  
Author(s):  
Nicholas Alvaro Coles ◽  
David Scott March ◽  
Fernando Marmolejo-Ramos ◽  
Nwadiogo Chisom Arinze ◽  
Izuchukwu Lawrence Gabriel Ndukaihe ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Subjective Experience ◽  
Meta Analysis ◽  
Feedback Effect ◽  
Facial Feedback ◽  
Strong Belief ◽  
Facial Feedback Hypothesis ◽  
The Many ◽  
Lab Test ◽  
Pilot Tests

The facial feedback hypothesis suggests that an individual’s subjective experience of emotion is influenced by their facial expressions. Researchers, however, currently face conflicting narratives about whether this hypothesis is valid. A large replication effort consistently failed to replicate a seminal demonstration of the facial feedback hypothesis, but meta-analysis suggests the effect is real. To address this uncertainty, a large team of researchers—some advocates of the facial feedback hypothesis, some critics, and some without strong belief—collaborated to specify the best ways to test this hypothesis. Two pilot tests suggested that smiling could both magnify ongoing feelings of happiness and initiate feelings of happiness in otherwise non-emotional scenarios. Next, multiple research sites will perform more extensive tests to examine whether there is a replicable facial feedback effect.

Perception of Emotional Expressions in Adults

2016 ◽  
Vol 37 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Chit Yuen Yi ◽  
Matthew W. E. Murry ◽  
Amy L. Gentzler
Keyword(s):  
Facial Expressions ◽  
Negative Mood ◽  
Emotion Perception ◽  
State Level ◽  
Past Research ◽  
Negative Emotionality ◽  
Basic Emotions ◽  
Perceived Intensity ◽  
Trait Level ◽  
Facial Expressions Of Emotion

Abstract. Past research suggests that transient mood influences the perception of facial expressions of emotion, but relatively little is known about how trait-level emotionality (i.e., temperament) may influence emotion perception or interact with mood in this process. Consequently, we extended earlier work by examining how temperamental dimensions of negative emotionality and extraversion were associated with the perception accuracy and perceived intensity of three basic emotions and how the trait-level temperamental effect interacted with state-level self-reported mood in a sample of 88 adults (27 men, 18–51 years of age). The results indicated that higher levels of negative mood were associated with higher perception accuracy of angry and sad facial expressions, and higher levels of perceived intensity of anger. For perceived intensity of sadness, negative mood was associated with lower levels of perceived intensity, whereas negative emotionality was associated with higher levels of perceived intensity of sadness. Overall, our findings added to the limited literature on adult temperament and emotion perception.

A Meta-Analysis of the Facial Feedback Literature: Effects of Facial Feedback on Emotional Experience Are Small and Variable

2017 ◽  
Author(s):  
Nicholas Alvaro Coles ◽  
Jeff T. Larsen ◽  
Heather Lench
Keyword(s):  
Publication Bias ◽  
Emotional Experience ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Detection Methods ◽  
Feedback Effects ◽  
Facial Feedback ◽  
Facial Movements ◽  
Facial Feedback Hypothesis ◽  
Variance Estimates

The facial feedback hypothesis suggests that an individual’s experience of emotion is influenced by feedback from their facial movements. To evaluate the cumulative evidence for this hypothesis, we conducted a meta-analysis on 286 effect sizes derived from 138 studies that manipulated facial feedback and collected emotion self-reports. Using random effects meta-regression with robust variance estimates, we found that the overall effect of facial feedback was significant, but small. Results also indicated that feedback effects are stronger in some circumstances than others. We examined 12 potential moderators, and three were associated with differences in effect sizes. 1. Type of emotional outcome: Facial feedback influenced emotional experience (e.g., reported amusement) and, to a greater degree, affective judgments of a stimulus (e.g., the objective funniness of a cartoon). Three publication bias detection methods did not reveal evidence of publication bias in studies examining the effects of facial feedback on emotional experience, but all three methods revealed evidence of publication bias in studies examining affective judgments. 2. Presence of emotional stimuli: Facial feedback effects on emotional experience were larger in the absence of emotionally evocative stimuli (e.g., cartoons). 3. Type of stimuli: When participants were presented with emotionally evocative stimuli, facial feedback effects were larger in the presence of some types of stimuli (e.g., emotional sentences) than others (e.g., pictures). The available evidence supports the facial feedback hypothesis’ central claim that facial feedback influences emotional experience, although these effects tend to be small and heterogeneous.

Facial Emotion Perception in Families Affected With Borderline Personality Disorder

2021 ◽  
Vol 35 (Supplement A) ◽  
pp. 132-148
Author(s):  
Tahira Gulamani ◽  
Achala H. Rodrigo ◽  
Amanda A. Uliaszek ◽  
Anthony C. Ruocco
Keyword(s):  
Borderline Personality Disorder ◽  
Personality Disorder ◽  
Facial Expressions ◽  
Response Times ◽  
Familial Aggregation ◽  
Emotion Perception ◽  
Borderline Personality ◽  
Facial Emotion ◽  
Response Latencies ◽  
Comparable Accuracy

Emotion perception biases may precipitate problematic interpersonal interactions in families affected with borderline personality disorder (BPD) and lead to conflictual relationships. In the present study, the authors investigated the familial aggregation of facial emotion recognition biases for neutral, happy, sad, fearful, and angry expressions in probands with BPD (n = 89), first-degree biological relatives (n = 67), and healthy controls (n = 87). Relatives showed comparable accuracy and response times to controls in recognizing negative emotions in aggregate and most discrete emotions. For sad expressions, both probands and relatives displayed slower response latencies, and they were more likely than controls to perceive sad expressions as fearful. Nonpsychiatrically affected relatives were slower than controls in responding to negative emotional expressions in aggregate, and fearful and sad facial expressions more specifically. These findings uncover potential biases in perceiving sad and fearful facial expressions that may be transmitted in families affected with BPD.

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.

Facial Feedback Effects on Impression Formation

1993 ◽  
Vol 77 (3_suppl) ◽  
pp. 1251-1258 ◽  
Author(s):  
Hideki Ohira ◽  
Kiyomi Kurono
Keyword(s):  
College Students ◽  
Social Cognition ◽  
Facial Expressions ◽  
Cognitive Processes ◽  
Impression Formation ◽  
Social Cognitive ◽  
Female College Students ◽  
Feedback Effects ◽  
Facial Feedback ◽  
Negative Facial Expression

Two experiments were conducted to examine effects of facial expressions upon social cognitive processes in which the impression of another person is formed. In each experiment, 30 female college students were induced to display or conceal their facial reactions to a hypothetical target person whose behaviors were mildly hostile (Exp. 1) or mildly friendly (Exp. 2), or their facial expressions were not manipulated. Displaying the facial expressions shifted the impression into the congruent directions with hedonic values corresponding to the facial expressions. Concealing the facial expressions, however, did not influence impression formation. Also, the positive-negative asymmetry was observed in the facial feedback effects, that is, the negative facial expression had a stronger effect on social cognition than the positive one.

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