Discrimination Of Facial Expressions Research Articles

PT551. Recognition and discrimination of facial emotion expression in Children with Attention-Deficit Hyperactivity Disorder and Autism Spectrum Disorder

PT551. Recognition and discrimination of facial emotion expression in Children with Attention-Deficit Hyperactivity Disorder and Autism Spectrum Disorder

Putting the face in context: Body expressions impact facial emotion processing in human infants

Body expressions exert strong contextual effects on facial emotion perception in adults. Specifically, conflicting body cues hamper the recognition of emotion from faces, as evident on both the behavioral and neural level. We examined the developmental origins of the neural processes involved in emotion perception across body and face in 8-month-old infants by measuring event-related brain potentials (ERPs). We primed infants with body postures (fearful, happy) that were followed by either congruent or incongruent facial expressions. Our results revealed that body expressions impact facial emotion processing and that incongruent body cues impair the neural discrimination of emotional facial expressions. Priming effects were associated with attentional and recognition memory processes, as reflected in a modulation of the Nc and Pc evoked at anterior electrodes. These findings demonstrate that 8-month-old infants possess neural mechanisms that allow for the integration of emotion across body and face, providing evidence for the early developmental emergence of context-sensitive facial emotion perception.

Altering sensorimotor feedback disrupts visual discrimination of facial expressions.

Looking at another person's facial expression of emotion can trigger the same neural processes involved in producing the expression, and such responses play a functional role in emotion recognition. Disrupting individuals' facial action, for example, interferes with verbal emotion recognition tasks. We tested the hypothesis that facial responses also play a functional role in the perceptual processing of emotional expressions. We altered the facial action of participants with a gel facemask while they performed a task that involved distinguishing target expressions from highly similar distractors. Relative to control participants, participants in the facemask condition demonstrated inferior perceptual discrimination of facial expressions, but not of nonface stimuli. The findings suggest that somatosensory/motor processes involving the face contribute to the visual perceptual-and not just conceptual-processing of facial expressions. More broadly, our study contributes to growing evidence for the fundamentally interactive nature of the perceptual inputs from different sensory modalities.

My Brain Reads Pain in Your Face, Before Knowing Your Gender

Humans are expert at recognizing facial features whether they are variable (emotions) or unchangeable (gender). Because of its huge communicative value, pain might be detected faster in faces than unchangeable features. Based on this assumption, we aimed to find a presentation time that enables subliminal discrimination of pain facial expression without permitting gender discrimination. For 80 individuals, we compared the time needed (50, 100, 150, or 200 milliseconds) to discriminate masked static pain faces among anger and neutral faces with the time needed to discriminate male from female faces. Whether these discriminations were associated with conscious reportability was tested with confidence measures on 40 other individuals. The results showed that, at 100 milliseconds, 75% of participants discriminated pain above chance level, whereas only 20% of participants discriminated the gender. Moreover, this pain discrimination appeared to be subliminal. This priority of pain over gender might exist because, even if pain faces are complex stimuli encoding both the sensory and the affective component of pain, they signal a danger. This supports the evolution theory relating to the necessity of quickly reading aversive emotions to ensure survival but might also be at the basis of altruistic behavior such as help and compassion. PerspectiveThis study shows that pain facial expression can be processed subliminally after brief presentation times, which might be helpful for critical emergency situations in clinical settings.

Visual exploration and discrimination of emotional facial expressions in 3-, 7- and 12-month-old infants

The first year of life is critical in the development of the abilities to process facial expressions. Numerous studies have investigated discrimination and categorization of distinct facial expressions of emotion. However, infants' visual exploratory strategies of these facial expressions and their developmental paths remain unclear. The perfection of eye movement tracking systems makes now the detailed analysis of facial exploration of faces feasible, and hence facilitates the identification of the features in facial expressions which infants focus on. In this study, oculometric parameters of 3- (n=36), 7- (n=66) and 12-month-old infants (n=59) were collected while facial expressions were displayed to them. Infants were consecutively exposed to 6 x 2 (randomized direct/averted gaze) 6-second trials consisting in the presentation of a full-front female or male avatar face expressing anger, disgust, fear, joy, sadness or neutrality. RESULTS indicate a significant main effect of age on visual exploration: while 3-month-olds spent most of their time exploring eyes and external traits, 7- and 12-month-olds explored significantly less the external traits and focused more on mouth and nose. Further, the avatars' facial expressions had no effect on 3-month-olds' visual exploration; as compared to the 7- and 12-month-olds who differentially explored distinctive facial features depending on the facially-displayed emotion. In conclusion, our data suggest that, along the first year, infants' visual exploration gradually develops to focus on relevant internal features, with differentiated attention to critical facial features depending on the emotion displayed. Meeting abstract presented at VSS 2015. Language: en

Implicit Discrimination of Basic Facial Expressions of Positive/Negative Emotion in Fragile X Syndrome and Autism Spectrum Disorder.

Fragile X syndrome (FXS) and autism spectrum disorders (ASD) are characterized by impaired social functioning. We examined the spontaneous discrimination of happy and disgusted facial expressions, from neutral faces, in individuals with FXS (n = 13, Mage = 19.70) and ASD (n = 15, Mage = 11.00) matched on adaptive behavior and verbal abilities measured by the Vineland Adaptive Behavior Scale. Eye gaze to the eyes and mouth of neutral faces was also measured. Results suggest individuals with FXS and ASD distinguish facial expressions spontaneously in the same way. Individuals with FXS looked significantly less at the eye region of neutral faces than individuals with ASD. These results provide insight into similarities and differences in face processing in two neurodevelopmental disorders noted for their similarities in social behavior.

Can a Humanoid Face be Expressive? A Psychophysiological Investigation.

Non-verbal signals expressed through body language play a crucial role in multi-modal human communication during social relations. Indeed, in all cultures, facial expressions are the most universal and direct signs to express innate emotional cues. A human face conveys important information in social interactions and helps us to better understand our social partners and establish empathic links. Latest researches show that humanoid and social robots are becoming increasingly similar to humans, both esthetically and expressively. However, their visual expressiveness is a crucial issue that must be improved to make these robots more realistic and intuitively perceivable by humans as not different from them. This study concerns the capability of a humanoid robot to exhibit emotions through facial expressions. More specifically, emotional signs performed by a humanoid robot have been compared with corresponding human facial expressions in terms of recognition rate and response time. The set of stimuli included standardized human expressions taken from an Ekman-based database and the same facial expressions performed by the robot. Furthermore, participants’ psychophysiological responses have been explored to investigate whether there could be differences induced by interpreting robot or human emotional stimuli. Preliminary results show a trend to better recognize expressions performed by the robot than 2D photos or 3D models. Moreover, no significant differences in the subjects’ psychophysiological state have been found during the discrimination of facial expressions performed by the robot in comparison with the same task performed with 2D photos and 3D models.

Short-term visual deprivation reduces interference effects of task-irrelevant facial expressions on affective prosody judgments.

Several studies have suggested that neuroplasticity can be triggered by short-term visual deprivation in healthy adults. Specifically, these studies have provided evidence that visual deprivation reversibly affects basic perceptual abilities. The present study investigated the long-lasting effects of short-term visual deprivation on emotion perception. To this aim, we visually deprived a group of young healthy adults, age-matched with a group of non-deprived controls, for 3 h and tested them before and after visual deprivation (i.e., after 8 h on average and at 4 week follow-up) on an audio–visual (i.e., faces and voices) emotion discrimination task. To observe changes at the level of basic perceptual skills, we additionally employed a simple audio–visual (i.e., tone bursts and light flashes) discrimination task and two unimodal (one auditory and one visual) perceptual threshold measures. During the 3 h period, both groups performed a series of auditory tasks. To exclude the possibility that changes in emotion discrimination may emerge as a consequence of the exposure to auditory stimulation during the 3 h stay in the dark, we visually deprived an additional group of age-matched participants who concurrently performed unrelated (i.e., tactile) tasks to the later tested abilities. The two visually deprived groups showed enhanced affective prosodic discrimination abilities in the context of incongruent facial expressions following the period of visual deprivation; this effect was partially maintained until follow-up. By contrast, no changes were observed in affective facial expression discrimination and in the basic perception tasks in any group. These findings suggest that short-term visual deprivation per se triggers a reweighting of visual and auditory emotional cues, which seems to possibly prevail for longer durations.

Trait Mindfulness Predicts Efficient Top-Down Attention to and Discrimination of Facial Expressions.

In social situations, skillful regulation of emotion and behavior depends on efficiently discerning others' emotions. Identifying factors that promote timely and accurate discernment of facial expressions can therefore advance understanding of social emotion regulation and behavior. The present research examined whether trait mindfulness predicts neural and behavioral markers of early top-down attention to, and efficient discrimination of, socioemotional stimuli. Attention-based event-related potentials (ERPs) and behavioral responses were recorded while participants (N = 62; White; 67% female; Mage = 19.09 years, SD = 2.14 years) completed an emotional go/no-go task involving happy, neutral, and fearful facial expressions. Mindfulness predicted larger (more negative) N100 and N200 ERP amplitudes to both go and no-go stimuli. Mindfulness also predicted faster response time that was not attributable to a speed-accuracy trade-off. Significant relations held after accounting for attentional control or social anxiety. This study adds neurophysiological support for foundational accounts that mindfulness entails moment-to-moment attention with lower tendencies toward habitual patterns of responding. Mindfulness may enhance the quality of social behavior in socioemotional contexts by promoting efficient top-down attention to and discrimination of others' emotions, alongside greater monitoring and inhibition of automatic response tendencies.

Facial and bodily emotion recognition in multiple sclerosis: the role of alexithymia and other characteristics of the disease.

Multiple sclerosis (MS) may be associated with impaired perception of facial emotions. However, emotion recognition mediated by bodily postures has never been examined in these patients. Moreover, several studies have suggested a relation between emotion recognition impairments and alexithymia. This is in line with the idea that the ability to recognize emotions requires the individuals to be able to understand their own emotions. Despite a deficit in emotion recognition has been observed in MS patients, the association between impaired emotion recognition and alexithymia has received little attention. The aim of this study was, first, to investigate MS patient's abilities to recognize emotions mediated by both facial and bodily expressions and, second, to examine whether any observed deficits in emotions recognition could be explained by the presence of alexithymia. Thirty patients with MS and 30 healthy matched controls performed experimental tasks assessing emotion discrimination and recognition of facial expressions and bodily postures. Moreover, they completed questionnaires evaluating alexithymia, depression, and fatigue. First, facial emotion recognition and, to a lesser extent, bodily emotion recognition can be impaired in MS patients. In particular, patients with higher disability showed an impairment in emotion recognition compared with patients with lower disability and controls. Second, their deficit in emotion recognition was not predicted by alexithymia. Instead, the disease's characteristics and the performance on some cognitive tasks significantly correlated with emotion recognition. Impaired facial emotion recognition is a cognitive signature of MS that is not dependent on alexithymia.

Adaptation to an average expression improves discrimination of facial expressions

Adaptation to an average expression improves discrimination of facial expressions

Monetary Incentives Modulate the Processing of Emotional Facial Expressions: An ERP Study

It is widely reported that monetary reward improves performance of cognitive tasks, such as spatial orienting, visual search, and conflict control by increasing task concentration and engagement. The current study used event-related potentials(ERPs) technique to investigate the impact of monetary reward on the discrimination of emotional facial expressions. Participants were asked to discriminate a happy, neutral, or angry face presented at the center of the computer screen, which was preceded by a monetary incentive or a non-incentive cue, and was followed by a feedback stimulus regarding the fastness and correctness of the response. Participants were informed that they would gain additional monetary reward if their reaction times(RTs) on incentive trials meet certain criteria. Behavioral results showed that RTs to emotional faces were generally faster than to neutral faces, and RTs in incentive trials were faster than that in non-incentive trials. Cue-elicited ERPs were modulated by monetary incentive, such that incentive cue elicited larger P1(130~200 ms), P2(200~300 ms), and P300(300~600 ms) amplitude than the non-incentive cue. Target-elicited occipito-temporal P1, N170 and frontal-central N300 amplitudes were modulated by reward anticipation, such that target elicited more positively-going ERPs in incentive condition than that in non-incentive condition. Early P1, N170 and VPP amplitudes were not affected by emotional facial expressions. The neural processes involved in processing emotional faces(happy, angry) and neutral faces diverged 300 ms after stimulus onset. Results showed more positive N300 in emotional conditions than in neutral conditions. Additionally, the amplitude of N300 was influenced by both reward anticipation and emotional valence. While the positive emotion processing effect was not modulated by reward anticipation, the negative emotion processing effect and negative bias effect for the N300 component were larger in incentive condition than in non-incentive condition. These results suggested an impact of reward anticipation on the processing of upcoming emotional facial expressions. Motivational factors may modulate the distribution of attentional resources, which then bias the processing of negative emotion.

Supplemental Material for Discrimination and Recognition of Facial Expressions of Emotion and Their Links With Voluntary Control of Facial Musculature in Parkinson’s Disease

Supplemental Material for Discrimination and Recognition of Facial Expressions of Emotion and Their Links With Voluntary Control of Facial Musculature in Parkinson’s Disease

Spontaneous facial expression recognition: A robust metric learning approach

Spontaneous facial expression recognition is significantly more challenging than recognizing posed ones. We focus on two issues that are still under-addressed in this area. First, due to the inherent subtlety, the geometric and appearance features of spontaneous expressions tend to overlap with each other, making it hard for classifiers to find effective separation boundaries. Second, the training set usually contains dubious class labels which can hurt the recognition performance if no countermeasure is taken. In this paper, we propose a spontaneous expression recognition method based on robust metric learning with the aim of alleviating these two problems. In particular, to increase the discrimination of different facial expressions, we learn a new metric space in which spatially close data points have a higher probability of being in the same class. In addition, instead of using the noisy labels directly for metric learning, we define sensitivity and specificity to characterize the annotation reliability of each annotator. Then the distance metric and annotators' reliability is jointly estimated by maximizing the likelihood of the observed class labels. With the introduction of latent variables representing the true class labels, the distance metric and annotators' reliability can be iteratively solved under the Expectation Maximization framework. Comparative experiments show that our method achieves better recognition accuracy on spontaneous expression recognition, and the learned metric can be reliably transferred to recognize posed expressions.

Biased processing of neutral facial expressions is associated with depressive symptoms and suicide ideation in individuals at risk for major depression due to affective temperaments

BackgroundTo elucidate whether abnormal facial emotion processing represents a vulnerability factor for major depression, some studies have explored deficits in emotion processing in individuals at familial risk for depression. Nevertheless, these studies have provided mixed results. However, no studies on facial emotion processing have been conducted in at-risk samples with early or attenuated signs of depression, such as individuals with affective temperaments who are characterized by subclinical depressive moods, cognitions, and behaviors that resemble those that occur in patients with major depression. MethodsPresence and severity of depressive symptoms, affective temperaments, death wishes, suicidal ideation, and suicide planning were explored in 231 participants with a mean age 39.9years (SD=14.57). Participants also completed an emotion recognition task with 80 emotional face stimuli expressing fear, angry, sad, happy, and neutral facial expressions. ResultsParticipants with higher scores on affective temperamental dimensions containing a depressive component, compared to those with lower scores, reported more depressive symptoms, death wishes, suicide ideation and planning, and an increased tendency to interpret neutral facial expressions as emotional facial expressions; in particular, neutral facial expressions were interpreted more negatively, mostly as sad facial expressions. However, there were no group differences in identification and discrimination of facial expressions of happiness, sadness, fear, and anger. ConclusionsA negative bias in interpretation of neutral facial expressions, but not accuracy deficits in recognizing emotional facial expressions, may represent a vulnerability factor for major depression. However, further research is needed.

Discrimination and categorization of emotional facial expressions and faces in Parkinson's disease

Our objective was to compare the ability to discriminate and categorize emotional facial expressions (EFEs) and facial identity characteristics (age and/or gender) in a group of 53 individuals with Parkinson's disease (PD) and another group of 53 healthy subjects. On the one hand, by means of discrimination and identification tasks, we compared two stages in the visual recognition process that could be selectively affected in individuals with PD. On the other hand, facial expression versus gender and age comparison permits us to contrast whether the emotional or non-emotional content influences the configural perception of faces. In Experiment I, we did not find differences between groups, either with facial expression or age, in discrimination tasks. Conversely, in Experiment II, we found differences between the groups, but only in the EFE identification task. Taken together, our results indicate that configural perception of faces does not seem to be globally impaired in PD. However, this ability is selectively altered when the categorization of emotional faces is required. A deeper assessment of the PD group indicated that decline in facial expression categorization is more evident in a subgroup of patients with higher global impairment (motor and cognitive). Taken together, these results suggest that the problems found in facial expression recognition may be associated with the progressive neuronal loss in frontostriatal and mesolimbic circuits, which characterizes PD.

Own-gender effects in post-adaptation changes to facial expression discrimination performance.

Own-gender effects in post-adaptation changes to facial expression discrimination performance.

Facial expression discrimination varies with presentation time but not with fixation on features: A backward masking study using eye-tracking

The current study investigated the effects of presentation time and fixation to expression-specific diagnostic features on emotion discrimination performance, in a backward masking task. While no differences were found when stimuli were presented for 16.67 ms, differences between facial emotions emerged beyond the happy-superiority effect at presentation times as early as 50 ms. Happy expressions were best discriminated, followed by neutral and disgusted, then surprised, and finally fearful expressions presented for 50 and 100 ms. While performance was not improved by the use of expression-specific diagnostic facial features, performance increased with presentation time for all emotions. Results support the idea of an integration of facial features (holistic processing) varying as a function of emotion and presentation time.

Individual Differences in the Recognition of Facial Expressions: An Event-Related Potentials Study

Previous studies have shown that early posterior components of event-related potentials (ERPs) are modulated by facial expressions. The goal of the current study was to investigate individual differences in the recognition of facial expressions by examining the relationship between ERP components and the discrimination of facial expressions. Pictures of 3 facial expressions (angry, happy, and neutral) were presented to 36 young adults during ERP recording. Participants were asked to respond with a button press as soon as they recognized the expression depicted. A multiple regression analysis, where ERP components were set as predictor variables, assessed hits and reaction times in response to the facial expressions as dependent variables. The N170 amplitudes significantly predicted for accuracy of angry and happy expressions, and the N170 latencies were predictive for accuracy of neutral expressions. The P2 amplitudes significantly predicted reaction time. The P2 latencies significantly predicted reaction times only for neutral faces. These results suggest that individual differences in the recognition of facial expressions emerge from early components in visual processing.

The visual discrimination of negative facial expressions by younger and older adults

Previous research has demonstrated that older adults are not as accurate as younger adults at perceiving negative emotions in facial expressions. These studies rely on emotion recognition tasks that involve choosing between many alternatives, creating the possibility that age differences emerge for cognitive rather than perceptual reasons. In the present study, an emotion discrimination task was used to investigate younger and older adults’ ability to visually discriminate between negative emotional facial expressions (anger, sadness, fear, and disgust) at low (40%) and high (80%) expressive intensity. Participants completed trials blocked by pairs of emotions. Discrimination ability was quantified from the participants’ responses using signal detection measures. In general, the results indicated that older adults had more difficulty discriminating between low intensity expressions of negative emotions than did younger adults. However, younger and older adults did not differ when discriminating between anger and sadness. These findings demonstrate that age differences in visual emotion discrimination emerge when signal detection measures are used but that these differences are not uniform and occur only in specific contexts.