Facial Affect Recognition Research Articles

Full and Partial Facial Affect Recognition in Pediatric Brain Tumour Survivors and Typically Developing Children Following COVID-19 Pandemic.

Affect recognition has emerged as a potential mechanism underlying the social competence challenges experienced by pediatric brain tumour survivors (PBTSs). However, many social interactions were altered during the pandemic, with the widespread use of masking potentially impacting affect recognition abilities. Here, we examine affect recognition in PBTSs and typically developing youth (TD) after the onset of the global pandemic. Twenty-three PBTSs and 24 TD between 8 and 16 years old were recruited and completed two performance-based affect recognition tasks (full and partial facial features) and a self-reported questionnaire on mask exposure in their social interactions. Their parents completed parent proxy questionnaires on their child's social adjustment and sociodemographics. The scores between the PBTSs and TD did not differ significantly in full (t(45) = 1.33, p = 0.19, d = 0.39, 95% CI [-0.69, 3.40]) or partial (t(37.36) = 1.56, p = 0.13, d = 0.46, 95% CI [-0.47, 3.60]) affect recognition, suggesting similar affect recognition between the two groups. These skills were also not significantly correlated with social adjustment or mask exposure (p > 0.05). However, the combined sample had significantly better scores in affect recognition when exposed to partial facial cues versus full. Additionally, participants obtained lower scores on a measure of full facial affect recognition and higher scores on a measure of partial affect recognition compared to pre-pandemic data. The pandemic may have influenced affect recognition across youth, underscoring the importance of further research into its lasting impact on the social competence of youth.

An ecological momentary cognitive assessment study of over-attribution of threat and suicide risk factors in people with serious mental illness

IntroductionPeople with serious mental illness (SMI; schizophrenia, schizoaffective disorder, bipolar disorder) are at increased risk of suicidal ideation (SI). Over-attribution of social threat, or attributing threatening emotions to neutral faces, may contribute to social isolation through increased social avoidance and decreased social approach motivation. These factors are related to suicide, as well as perceived burdensomeness (PB) and thwarted belongingness (TB). This study examined how over-attribution of threat relates to PB, TB, and social motivations. MethodN = 273 participants with SMI were assessed for current SI and behavior, and were stratified into SI (N = 130) vs. non-SI (N = 143) groups. Participants completed smartphone surveys (via ecological momentary assessments [EMA]) 3×/day for 10 days. They also completed the Mobile Ecological Test of Emotion Recognition (METER) 1×/day. Linear mixed models and multi-level mediation tested the relationships between over-attribution of threat, METER performance, PB/TB, and social motivations. ResultsParticipants with and without SI did not significantly differ in over-attribution of threat or METER performance. In separate models, there was a relationship of over-attribution of threat with increased PB (B = 1.00, SE = 0.21, t = 4.72, p < .001), reduced social approach motivation (B = -0.74, SE = 0.22, t = −3.33, p < .001), and increased social avoidance (B = 0.90, SE = 0.24, t = 3.70, p < .001), all significant when adjusting for facial affect recognition ability. A model examining social motivations as a mediator between over-attribution of threat and PB/TB was not significant. ConclusionThese results suggest that over-attribution of threat relates to interpersonal constructs related to SI irrespective of facial affect abilities. This study may inform understanding of social cognitive processes related to suicide in SMI.

Social participation of school-aged survivors of pediatric brain tumors: A daily diary report.

Difficulties with social functioning are common among survivors of pediatric brain tumors. Social participation is an understudied measure of social functioning that is associated with emotional health across the lifespan. This paper uses a diary method to assess the social participation of survivors of pediatric brain tumors in middle childhood. Survivors of pediatric brain tumors (N=47; age 10.6±1.4years; 51.1% male, 89.4% White) who were 5.3 (SD=2.4, range: 2-9.9) years post therapy completed a daily diary assessment of social interaction (5-7days) and an objective measure of facial affect recognition. The participant's caregiver completed the NIH Toolbox Emotion Measures and a background information questionnaire. Overall, frequency and quality of reported social interactions were low for survivors, with a large subset of survivors (n=16, 34%) endorsing fewer than 10 social interactions over the course of a typical school week, and almost half of parents (48.9%) reporting that their child participates in zero social activities outside of school during a typical week. Participants engaged in more positive social participation exhibited stronger social skills (facial affect recognition (F(2,44) =4.85, p<.05). School-aged survivors of pediatric brain tumors seemed to be infrequently engaged in social participation and quality interaction with peers. More specifically, the interactions most commonly reported on the diary assessment are not indicative of friendship development and maintenance. Survivors of pediatric brain tumors would likely benefit from interventions designed to increase quality time spent with peers.

38 Assessing Memory for Emotions Separately from Emotion Recognition

Objective:Accurate processing of facial displays of emotion is critical for effective communication. A robust literature has documented impairment in the ability to recognize facial affect in people with traumatic brain injury (TBI), but research is scarce about memory for facial affect. Disruptions in recognizing and remembering the emotions of others can undermine relationship quality and may result in psychosocial dysfunction. Importantly, the extant literature indicates that facial affect recognition dissociates from other cognitive abilities such that it is likely a distinct neuronal process. Thus, explicit measurement of affect recognition and memory for emotions may be critical for implementing and refining rehabilitation interventions. The present study examined the relationship between recognition and memory for emotions using a novel computerized task and explored its associations with other cognitive abilities.Participants and Methods:Participants were adults who were neurologically healthy (n = 31) or had a history of moderate to severe TBI (n = 26). The battery included the novel Assessment of Facial Affect Recognition and Memory (AFARM), Cambridge Face Memory Test (face memory without emotion), Wechsler Test of Adult Reading, Rey Auditory Verbal Learning Test, Judgment of Line Orientation, Oral Symbol Digit Modalities, Digit Span, FAS, Animal Fluency, and the Affect Intensity Measure (experienced emotion). Spearman correlations examined the relationship of AFARM performance with the test battery. Logistic regression models examined whether immediate-delay (ID-EM) and long-delay face emotion-memory (LD-EM) accounted for unique variance in group membership beyond recognition accuracy of facial affect and memory for faces.Results:AFARM demonstrated relationships with neuropsychological and mood variables in the expected directions across and within groups, with the strongest associations observed for memory for verbal information (rs = .51 to .58) and processing speed (rs = .48 to .57). Consistent with traditional list-learning tests, ID- and LD-EM were highly correlated (r = .85). Experienced affect intensity was inversely associated with ID-EM (r = -.29) and LD-EM (r = -.38) but not with recognition accuracy (r = -.10). Logistic regression examining ID-EM was significant, χ2(3) = 26.05, p &lt; .001, Nagelkerke R2 = .49. ID-EM accounted for unique variance in group status (p = .006; OR = 0.65) after accounting for recognition accuracy and face memory. Similarly, the model examining LD-EM was significant χ2(3) = 27.70, p &lt; .001, Nagelkerke R2 = .43; LD-EM was significant after accounting for other variables (p = .017; OR = 0.69).Conclusions:The findings are consistent with the hypothesis that memory for emotions represents a unique component of social cognition that is separate from recognition. Accuracy in identifying emotions, face recognition memory, and memory for emotions are strongly related but not wholly redundant processes. Consistent with prior literature, subjective experience of emotion had substantial effects on objective performance tasks, indicating that an individual's intense experience of their own emotions can disrupt sensitivity to the emotions of others. Future research should assess the extent to which memory for emotions relates to psychosocial outcomes such as the quality and quantity of interpersonal relationships.

Effect of Action Units, Viewpoint and Immersion on Emotion Recognition Using Dynamic Virtual Faces.

Facial affect recognition is a critical skill in human interactions that is often impaired in psychiatric disorders. To address this challenge, tests have been developed to measure and train this skill. Recently, virtual human (VH) and virtual reality (VR) technologies have emerged as novel tools for this purpose. This study investigates the unique contributions of different factors in the communication and perception of emotions conveyed by VHs. Specifically, it examines the effects of the use of action units (AUs) in virtual faces, the positioning of the VH (frontal or mid-profile), and the level of immersion in the VR environment (desktop screen versus immersive VR). Thirty-six healthy subjects participated in each condition. Dynamic virtual faces (DVFs), VHs with facial animations, were used to represent the six basic emotions and the neutral expression. The results highlight the important role of the accurate implementation of AUs in virtual faces for emotion recognition. Furthermore, it is observed that frontal views outperform mid-profile views in both test conditions, while immersive VR shows a slight improvement in emotion recognition. This study provides novel insights into the influence of these factors on emotion perception and advances the understanding and application of these technologies for effective facial emotion recognition training.

How do Individuals With and Without Traumatic Brain Injury Interpret Emoji? Similarities and Differences in Perceived Valence, Arousal, and Emotion Representation

Impaired facial affect recognition is common after traumatic brain injury (TBI) and linked to poor social outcomes. We explored whether perception of emotions depicted by emoji is also impaired after TBI. Fifty participants with TBI and 50 non-injured peers generated free-text labels to describe emotions depicted by emoji and rated their levels of valence and arousal on nine-point rating scales. We compared how the two groups’ valence and arousal ratings were clustered and examined agreement in the words participants used to describe emoji. Hierarchical clustering of affect ratings produced four emoji clusters in the non-injured group and three emoji clusters in the TBI group. Whereas the non-injured group had a strongly positive and a moderately positive cluster, the TBI group had a single positive valence cluster, undifferentiated by arousal. Despite differences in cluster numbers, hierarchical structures of the two groups’ emoji ratings were significantly correlated. Most emoji had high agreement in the words participants with and without TBI used to describe them. Participants with TBI perceived emoji similarly to non-injured peers, used similar words to describe emoji, and rated emoji similarly on the valence dimension. Individuals with TBI showed small differences in perceived arousal for a minority of emoji. Overall, results suggest that basic recognition processes do not explain challenges in computer-mediated communication reported by adults with TBI. Examining perception of emoji in context by people with TBI is an essential next step for advancing our understanding of functional communication in computer-mediated contexts after brain injury.

Facial affect recognition in context in adults with and without TBI.

Several studies have reported impaired emotion recognition in adults with traumatic brain injury (TBI), but studies have two major design features that limit application of results to real-world contexts: (1) participants choose from among lists of basic emotions, rather than generating emotion labels, and (2) images are typically presented in isolation rather than in context. To address these limitations, we created an open-labeling task with faces shown alone or in real-life scenes, to more closely approximate how adults with TBI label facial emotions beyond the lab. Participants were 55 adults (29 female) with moderate to severe TBI and 55 uninjured comparison peers, individually matched for race, sex, and age. Participants viewed 60 photographs of faces, either alone or in the pictured person's real-life context, and were asked what that person was feeling. We calculated the percent of responses that were standard forced-choice-task options, and also used sentiment intensity analysis to compare verbal responses between the two groups. We tracked eye movements for a subset of participants, to explore whether gaze duration or number of fixations helped explain any group differences in labels. Over 50% of responses in both groups were words other than basic emotions on standard affect tasks, highlighting the importance of eliciting open-ended responses. Valence of labels by participants with TBI was attenuated relative to valence of Comparison group labels, i.e., TBI group responses were less positive to positive images and the same was true for negative images, although the TBI group responses had higher lexical diversity. There were no significant differences in gaze duration or number of fixations between groups. Results revealed qualitative differences in affect labels between adults with and without TBI that would not have emerged on standard forced-choice tasks. Verbal differences did not appear to be attributable to differences in gaze patterns, leaving open the question of mechanisms of atypical affect processing in adults with TBI.

Automated measurement of infant and mother Duchenne facial expressions in the Face-to-Face/Still-Face.

Although still-face effects are well-studied, little is known about the degree to which the Face-to-Face/Still-Face (FFSF) is associated with the production of intense affective displays. Duchenne smiling expresses more intense positive affect than non-Duchenne smiling, while Duchenne cry-faces express more intense negative affect than non-Duchenne cry-faces. Forty 4-month-old infants and their mothers completed the FFSF, and key affect-indexing facial Action Units (AUs) were coded by expert Facial Action Coding System coders for the first 30s of each FFSF episode. Computer vision software, automated facial affect recognition (AFAR), identified AUs for the entire 2-min episodes. Expert coding and AFAR produced similar infant and mother Duchenne and non-Duchenne FFSF effects, highlighting the convergent validity of automated measurement. Substantive AFAR analyses indicated that both infant Duchenne and non-Duchenne smiling declined from the FF to the SF, but only Duchenne smiling increased from the SF to the RE. In similar fashion, the magnitude of mother Duchenne smiling changes over the FFSF were 2-4 times greater than non-Duchenne smiling changes. Duchenne expressions appear to be a sensitive index of intense infant and mother affective valence that are accessible to automated measurement and may be a target for future FFSF research.

Age-Related Social Cognitive Performance in Individuals With Psychotic Disorders and Their First-Degree Relatives.

Social cognitive impairment is a recognized feature of psychotic disorders. However, potential age-related differences in social cognitive impairment have rarely been studied. Data came from 905 individuals with a psychotic disorder, 966 unaffected siblings, and 544 never-psychotic controls aged 18-55 who participated in the Genetic Risk and Outcome of Psychosis (GROUP) study. Multilevel linear models were fitted to study group main effects and the interaction between group and age on emotion perception and processing (EPP; degraded facial affect recognition) and theory of mind (ToM; hinting task) performance. Age-related differences in the association between socio-demographic and clinical factors, and EPP and ToM were also explored. Across groups, EPP performance was associated with age (β = -0.02, z = -7.60, 95% CI: -0.02, -0.01, P < .001), with older participants performing worse than younger ones. A significant group-by-age interaction on ToM (X2(2) = 13.15, P = .001) indicated that older patients performed better than younger ones, while no age-related difference in performance was apparent among siblings and controls. In patients, the association between negative symptoms and ToM was stronger for younger than older patients (z = 2.16, P = .03). The findings point to different age-related performance patterns on tests of 2 key social cognitive domains. ToM performance was better in older individuals, although this effect was only observed for patients. EPP was less accurate in older compared with younger individuals. These findings have implications with respect to when social cognitive training should be offered to patients.

N°373 – Facial affect recognition and executive functions abnormalities in ADHD subjects: An ERP/CPT study

N°373 – Facial affect recognition and executive functions abnormalities in ADHD subjects: An ERP/CPT study

Facial emotion recognition in patients with depression compared to healthy controls when using human avatars

The negative, mood-congruent cognitive bias described in depression, as well as excessive rumination, have been found to interfere with emotional processing. This study focuses on the assessment of facial recognition of emotions in patients with depression through a new set of dynamic virtual faces (DVFs). The sample consisted of 54 stable patients compared to 54 healthy controls. The experiment consisted in an emotion recognition task using non-immersive virtual reality (VR) with DVFs of six basic emotions and neutral expression. Patients with depression showed a worst performance in facial affect recognition compared to healthy controls. Age of onset was negatively correlated with emotion recognition and no correlation was observed for duration of illness or number of lifetime hospitalizations. There was no correlation for the depression group between emotion recognition and degree of psychopathology, excessive rumination, degree of functioning, or quality of life. Hence, it is important to improve and validate VR tools for emotion recognition to achieve greater methodological homogeneity of studies and to be able to establish more conclusive results.

451 Posterior Cingulate Theta Power as a Novel Biomarker of Mood

INTRODUCTION: One third of patients with major depressive disorder (MDD) are refractory to standard therapies. Progress in therapeutic neuromodulation for depression has been challenging because of the widespread, network basis of mood and lack of neurophysiologic biomarkers. Neuroimaging studies of depression demonstrate increased connectivity within the default mode network (DMN), which subserves internal processes such as self-reflection, mind wandering, and memory. Invasive electrophysiology in the resting state has demonstrated that DMN connectivity corresponds to correlations in theta-band power. DMN activity is anti-correlated with the dorsal attention network (DAN) which, in contrast, subserves externally oriented cognition (i.e., top-down attention), and demonstrates alpha-specific resting-state correlations. METHODS: We used hourly, self-reported measures of mood and video facial affect recognition to estimate mood valence in six epilepsy patients undergoing invasive stereotactic electroencephalography monitoring. We analyzed power spectra and functional connectivity (band-limited power correlations) in epochs corresponding to mood estimates. Patients without substantial inpatient mood variability (n=3) were excluded. RESULTS: Depressed mood was correlated with increased theta power. This was most significant in electrodes within posterior cingulate cortex (DMN region; r = -0.58; p = 0.0007). Conversely, alpha power was increased during elevated mood, most significantly in the intraparietal sulcus (DAN region; r = 0.55, p = 0.0013). Theta connectivity was correlated with depressed mood (r = -0.53, p = 0.003) whereas alpha connectivity was correlated with elevated mood (r = 0.56, p = 0.002). CONCLUSIONS: Our results recapitulate the frequency specificity of resting-state physiology and encourage a network-based perspective of depression neurophysiology. Theta and alpha power within DMN and DAN networks, respectively, represent important biomarkers of mood and may guide neuromodulatory therapies. Posterior cingulate/precuneus cortex is a major DMN hub and should be sampled in future studies of neural correlates of mood.

Examining the association between speed-accuracy trade-offs and psychopathy among male offenders in a facial affect recognition task.

Despite a large body of work examining the relationship between facial affect recognition and psychopathy, there is little consensus regarding the nature of emotion processing in such individuals. Although most previous studies have reported an association between psychopathy and some facial affect recognition deficits, results are mixed regarding which specific emotions are related to deficient recognition for these individuals. The current study aims to examine speed-accuracy trade-offs in psychopathy. Participants were 139 incarcerated adult male offenders assessed using the Psychopathy Checklist-Revised. Analyses demonstrated a 3-way interaction between psychopathy, response time, and level of stimulus expression for happiness in which psychopathy mitigated the relationship between response time and level of expression on accuracy. However, the overall pattern of findings does not suggest that speed-accuracy trade-offs are a central component of facial affect recognition in psychopathy. The theoretical implications of current findings are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Facial Affect Recognition in Depression Using Human Avatars

This research assesses facial emotion recognition in depressed patients using a novel dynamic virtual face (DVF) collection. The participant sample comprised 54 stable depressed patients against 54 healthy controls. The experiment entailed a non-immersive virtual reality task of recognizing emotions with DVFs representing the six basic emotions. Depressed patients exhibited a deficit in facial affect recognition in comparison to healthy controls. The average recognition score for healthy controls was 88.19%, while the score was 75.17% for the depression group. Gender and educational level showed no influence on the recognition rates in depressed patients. As for age, the worst results were found in older patients as compared to other cohorts. The average recognition rate for the younger group was 84.18%, 78.63% for the middle-aged group, and 61.97% for the older group, with average reaction times of 4.00 s, 4.07 s, and 6.04 s, respectively.

Preprocessing Challenges for Real World Affect Recognition

Real world human affect recognition requires immediate attention which is a significant aspect of humancomputer interaction. Audio-visual modalities can make a significant contribution by providing rich contextual information. Preprocessing is an important step in which the relevant information is extracted. It has a crucial impact on prominent feature extraction and further processing. The main aim is to highlight the challenges in preprocessing real world data. The research focuses on experimental testing and comparative analysis for preprocessing using OpenCV, Single Shot MultiBox Detector (SSD), DLib, Multi-Task Cascaded Convolutional Neural Networks (MTCNN), and RetinaFace detectors. The comparative analysis shows that MTCNN and RetinaFace give better performance in real world data. The performance of facial affect recognition using a pre-trained CNN model is analysed with a lab-controlled dataset CK+ and a representative wild dataset AFEW. This comparative analysis demonstrates the impact of preprocessing issues on feature engineering framework in real world affect recognition.

Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account

BackgroundAlexithymic and psychopathic traits are closely associated, but distinct constructs. Both have been associated with facial emotion processing deficits reflecting empathy deficits, however the underlying mechanism contributing to these deficits is not well-understood.MethodsThis study investigated facial emotion recognition performance in a non-clinical sample (N = 110) including both male and female participants, with varying levels of psychopathic and alexithymic traits. Facial emotion recognition was assessed using a computerized task, that presented different expressions depicting five emotional states (pain, fear, sadness, anger, happiness) and neutral expressions.ResultsResults suggest that the high psychopathic traits group reported lower accuracy compared to the low psychopathic traits group, indicating a more generalized deficit in facial affect recognition, across all emotions. The alexithymic groups (high vs. low) on the other hand did not differ in their performance on the task for any of the emotions presented.ConclusionThese findings add to the current body of research regarding face processing categorization deficits in relation to psychopathic and alexithymic traits and can inform prevention and intervention efforts that aim to facilitate facial emotion recognition in individuals with these personality traits.

Face memory and facial expression recognition are both affected by wearing disposable surgical face masks

Faces are fundamental stimuli for social interactions since they provide significant information about people’s identity and emotional states. With the outburst of the COVID-19 pandemic, global use of preventive measures, such as disposable surgical face masks (DSFMs), has been imposed. The massive use of DSFMs covering a large part of the face could interfere with identity and emotion recognition. Thus, the main aim of the current study was (i) to assess how DSFMs affect identity recognition (Experiment 1), (ii) how DSFMs affect emotion recognition (Experiment 2), and (iii) whether individual empathy levels correlate with emotion recognition with DSFMs. The potential relation between identity and emotion recognition with and without DSFMs was also investigated. Two tasks were administered to 101 healthy participants: (i) the Old-new face memory task aimed to assess whether the learning context (i.e., DSFMs on/off) affects recognition performance, whereas (ii) the Facial affect task explored DSFMs’ effect on emotion recognition. Results from the former showed that the stimuli’s features in the learning stage affect recognition performances; that is, faces wearing DSFMs were better recognized if wearing DSFMs at first exposure and vice versa. Results from the Facial affect task showed that DSFMs lead to reduced disgust, happiness, and sadness recognition. No significant correlation emerged between identity and emotion recognition. The Interpersonal Reactivity Index (IRI) was administered to assess affective and cognitive empathy; however, IRI scores did not correlate with either face memory recognition or facial affect recognition. Overall, our results demonstrate (a) a “context effect” for face memory with and without DSFMs; (b) a disruptive effect of DSFMs depending on the expressed emotion; and (c) no correlation between empathy and emotion recognition with DSFMs.

Facial affect recognition in first-episode psychosis is impaired but not associated with psychotic symptoms

IntroductionSocial dysfunction is a key feature of psychotic disorders such as schizophrenia linked to disability. Less is known about social functioning in the early stages of the disorder and if there is an association to psychotic symptoms. AimsInvestigate if antipsychotic drug-naïve or briefly medicated individuals with first-episode psychosis (FEP), have impaired facial affect recognition (FAR) compared to control participants and if psychotic symptoms are associated with the FAR ability. MethodIndividuals with FEP (n = 67) and control participants (n = 51) performed a computer-aided FAR task on basic emotions. Psychotic symptoms were assessed with the Positive and Negative Syndrome Scale (PANSS). Group performances were compared using age and gender as covariates. The associations between FAR and performance on the subscales of PANSS were analyzed. ResultsCompared to control participants, individuals with FEP were impaired in general FAR (Beta = -2.04 [95 % conf: -3.75/-1.62], p < 0.001) and FAR of negative emotions (Beta = -1.74 [95 % conf: -3.08/-1.22], p < 0.001), driven by difficulties in recognition of anger and disgust. In both groups, there was a pattern of mistaking negative emotions for other negative emotions. There were no significant group differences in FAR of happiness. No significant associations between FAR and psychotic symptoms were observed. DiscussionThe results indicate that FAR, an underlying mechanism of social functioning is impaired early in the course of psychotic disorders. Current findings do not support the hypothesis that misinterpretation of facial expressions in individuals with FEP underlies or contributes to symptoms of psychosis.

Emotion recognition and eye tracking of static and dynamic facial affect: Acomparison of individuals with and without traumatic brain injury

ABSTRACT Diminished social functioning is often seen after traumatic brain injury (TBI). Mechanisms contributing to these deficits are poorly understood but thought to relate to impaired ability to recognize facial expressions. Static stimuli are often used to investigate ability post-TBI, and there is less evidence using more real-life dynamic stimuli. In addition, most studies rely on behavioral responses alone. The present study investigated the performance of a TBI group and matched non-TBI group on static and dynamic tasks using eye-tracking technology alongside behavioral measures. This is the first study to use eye tracking methodology alongside behavioral measures in emotion recognition tasks in people with brain injury. Eighteen individuals with heterogeneous TBI and 18 matched non-TBI participants were recruited. Stimuli representing six core emotions (Anger, Disgust, Fear, Happy, Sad, and Surprise faces) were selected from the Amsterdam Dynamic Facial Expression Set (ADFES). Participants were instructed to identify the emotion displayed correctly whilst eye movement metrics were recorded. Results Results of analyses showed that TBI patients had First Fixation to nose for all emotion stimuli, shorter Fixation Duration and lower Fixation Count to eyes, were generally slower to classify stimuli, and less accurate than non-TBI group for the static task. Those with TBI were also less accurate at identifying Angry, Disgust, and Fear stimulus faces compared to the non-TBI group during the dynamic unfolding of an emotion. Conclusion In the present study, those with TBI had atypical eye scan patterns during emotion identification in the static emotion recognition task compared to the non-TBI group and were associated with lower identification accuracy on behavioral measures in both static and dynamic tasks. Findings suggest potential disruption to oculomotor systems vital for first stage perceptual processing. Arguably, these impairments may contribute to diminished social functioning.

Correlations Between Psychological Status and Perception of Facial Expression.

Objective Facial affect recognition is associated with neuropsychological status and psychiatric diseases. We hypothesized that facial affect recognition is associated with psychological status and perception of other affects. Methods A total of 80 images depicting facial affect, including 20 Neutral, 20 Angry, 20 Fear, and 20 Sad, were screened for use in our research. A total of 100 healthy individuals were asked to rate these images using a 10-point Likert scale and complete psychological scales assessing the emotional statuses and cognitive functions. Results The participants’ emotional state of aggression, attention, and impulsivity may have been associated with their interpretation of the Angry facial expressions. The participants often rated the Angry facial expressions as Fear. The participants rated Fear images as Angry or Sad. In response to a Sad facial expression, the participants reported psychological statuses of attention and impulsivity which were associated with the facial expression rating. The participants rated the Sad expression as Angry or Fear. Conclusion The psychological statuses of the participants were significantly correlated with their interpretation of facial affects. In particular, a psychological state of attention was often correlated with incorrect affect ratings. Attention and impulsivity could affect the rating of the sad facial expressions.