Processing Of Facial Expressions Research Articles

Effects of Closed Mouth vs. Exposed Teeth on Facial Expression Processing: An ERP Study

The current study examines the neural mechanisms underlying facial recognition, focusing on how emotional expression and mouth display modulate event-related potential (ERP) waveforms. 42 participants categorized faces by gender in one of two experimental setups: one featuring full-face images and another with cropped faces presented against neutral gray backgrounds. The stimuli included 288 images balanced across gender, race/ethnicity, emotional expression (“Fearful”, “Happy”, “Neutral”), and mouth display (“closed mouth” vs. “open mouth with exposed teeth”). Results revealed that N170 amplitude was significantly greater for open-mouth (exposed teeth) conditions (p < 0.01), independent of emotional expression, and no interaction between emotional expression and mouth display was found. However, the P100 amplitude exhibited a significant interaction between these variables (p < 0.05). Monte Carlo simulations analyzing N170 latency differences showed that fearful faces elicited a faster response than happy and neutral faces, with a 2 ms delay unlikely to occur by chance (p < 0.01). While these findings challenge prior research suggesting that N170 is directly influenced by emotional expression, they also highlight the potential role of emotional intensity as an alternative explanation. This underscores the importance of further studies to disentangle these effects. This study highlights the critical need to control for mouth display when investigating emotional face processing. The results not only refine our understanding of the neural dynamics of face perception but also confirm that the brain processes fearful expressions more rapidly than happy or neutral ones. These insights offer valuable methodological considerations for future neuroimaging research on emotion perception.

Priming using human and chimpanzee expressions of emotion biases attention toward positive emotions

ABSTRACT Perceiving and correctly interpreting emotional expressions is one of the most important abilities for social animals’ communication. It determines the majority of social interactions, group dynamics, and cooperation – being highly relevant for an individual’s survival. Core mechanisms of this ability have been hypothesised to be shared across closely related species with phylogenetic similarities. This study explored homologies in human processing of species-specific facial expressions using eye-tracking. Introducing a prime-target paradigm, we tested the influences on human attention elicited by priming with differently valenced emotional stimuli depicting human and chimpanzee faces. We demonstrated an attention shift towards the conspecific (human) target picture that was congruent with the valence depicted in the primer picture. We did not find this effect with heterospecific (chimpanzee) primers and ruled out that this was due to participants interpreting them incorrectly. Implications about the involvement of related emotion-processing mechanisms for human and chimpanzee facial expressions are discussed. Systematic cross-species-investigations of emotional expressions are needed to unravel how emotion representation mechanisms can extend to process other species’ faces. Through such studies, we can better understand the implications of humans’ and apes’ shared evolutionary ancestry and better understand “Where our emotions come from”.

Emotion processing of facial affect expression in patients with somatic symptom disorder with predominant pain-An EEG-study.

Despite their high prevalence, somatoform pain disorders are often not recognized early enough, not diagnosed reliably enough and not treated appropriately. Patients often experience a high level of suffering and the feeling of not being understood. For the medical care system, the symptoms represent a diagnostic and therapeutic challenge. Having the aim to get a better understanding of the disease, this study investigated the patients' emotion processing. In addition, the influence of surgical masks on facial affect processing was investigated, which has become more important since the onset of the Covid-19. The study involved an electroencephalogram (EEG) experimental paradigm extracting visual event-related potentials (vERP) evoked by emotional faces with and without surgical masks. Overall, the results of the face-related vERP indicate that the healthy control participants process the different emotional faces in a differentiated way. This can be seen from the fact that in this group the amplitudes of the vERP differ according to the different affects. In contrast, the patient group does not show any affect-specific potential differences in the vERP components. Besides, in healthy control participants, masks appear to limit the brain's ability to process emotions by hiding important facial information. Patients do not show any differences in the way they process images with and without masks, which suggests that patients generally process this content more rudimentary.

Narrative Review: The Intersection of Genetic Predisposition for Autism Spectrum Disorder and Nurture Factors in the Development of Borderline Personality Disorder

Purpose: This narrative review explores the significant overlaps between Borderline Personality Disorder (BPD) and Autism Spectrum Disorder (ASD), focusing on shared symptoms and genetic underpinnings. The purpose was to investigate neurodivergent traits in BPD similar to autism and examine how genetic predisposition for ASD can increase BPD risk when faced with adverse childhood experiences. Despite different DSM-5 classifications, both disorders share traits like emotional dysregulation, interpersonal difficulties, and cognitive distortions. Genetic markers, including variations in BDNF, COMT, and CNTNAP2 genes, suggest a shared biological vulnerability. The review posits that a family history of ASD may increase BPD likelihood during adolescence, especially when encountering adverse childhood experiences (ACEs). This interplay between genetic predisposition and environmental stressors highlights the need for improved BPD diagnostic criteria and tailored interventions. Methodology: A comprehensive literature search was conducted using databases such as PubMed, Semantic Scholar, and Google Scholar. Key search terms included "Autism Spectrum Disorder," "Borderline Personality Disorder," "Genetic Overlap," and "Theory of Mind." The review focused on peer-reviewed studies from the last decade, with some foundational papers included for historical context. Findings: The review uncovered notable overlaps between ASD and BPD in genetics, neurocognition, and symptomatology. Shared genetic factors include variations in the BDNF, COMT, SHANK3, and CNTNAP2 genes. Neurocognitive similarities were evident in impairments like social cognition, emotional regulation, and facial expression processing. Overlapping symptoms such as emotional dysregulation, Theory of Mind deficits, and executive dysfunction emphasize the neurodivergent nature of BPD. Importantly, the review suggests that a family history of ASD, combined with exposure to adverse childhood experiences (ACEs), may increase the risk of developing BPD during adolescence. Unique Contribution to Theory, Practice and Policy: This review reimagines BPD within a neurodivergent framework, similar to ASD, focusing on its neurobiological foundations. It supports an integrated theoretical model highlighting the neurodivergent traits of BPD which are similar to those of ASD. In clinical practice, the review emphasizes the importance of recognizing overlaps during assessment to improve diagnostic accuracy and inform tailored interventions. It advocates for incorporating neurodiversity-affirming practices into BPD treatment, inspired by approaches used in ASD care. The findings encourage deeper study of the shared genetic and neurodevelopmental aspects of BPD, potentially leading to improved treatment and diagnostic models.

Impact of chronic intranasal oxytocin administration on face expression processing in autistic children: a randomized controlled trial using fMRI

BackgroundDifficulties with (non-verbal) social communication, including facial expression processing, constitute a hallmark of autism. Intranasal administration of oxytocin has been considered a potential therapeutic option for improving social difficulties in autism, either by enhancing the salience of social cues or by reducing the social stress and anxiety experienced in social encounters.MethodsWe recorded fMRI brain activity while presenting neutral, fearful and scrambled faces, to compare the neural face processing signature of autistic children (n = 58) with that of matched non-autistic controls (n = 38). Next, in the autistic children group, we implemented this fMRI face processing task in a double-blind, placebo-controlled, multiple-dose oxytocin clinical trial, to evaluate the impact of four-week repeated oxytocin administration (24 IU daily dose) on brain activity in face processing regions.ResultsNo significant diagnostic-group differences were identified between autistic versus non-autistic children with regard to neural face processing. Furthermore, no significant treatment effects were found in the oxytocin clinical trial. However, exploratory analyses (uncorrected for multiple comparisons) demonstrated decreases in brain activity in the left superior temporal sulcus (STS) and inferior frontal region in the oxytocin compared to the placebo group, and change-from-baseline analyses in the oxytocin group revealed significantly reduced neural activity in the core face-processing network (STS, inferior occipital, and posterior fusiform), as well as in amygdala and inferior frontal region.ConclusionThese findings suggest an attenuating effect of multiple-dose oxytocin administration on neural face processing, potentially supporting the anxiolytic account of oxytocin.

Anxiety symptoms are differentially associated with facial expression processing in boys and girls.

Facial expressions convey important social information and can initiate behavioral change through the processing and understanding of emotions. However, while this ability is known to evolve throughout development, it remains unclear whether this ability differs between girls and boys or how other variables such as level of anxiety can modulate it. Furthermore, understanding the underlying neural mechanisms of facial expression processing and how they are linked by sex and anxiety during development is essential, as alterations in this processing have been associated with psychiatric disorders. Herein, 191 typically developing youth (6- to 15-years old) completed an implicit face processing task involving three facial expressions (angry, happy, and neutral) during functional magnetic resonance imaging. We conducted linear models on the fMRI data to investigate the impact sex and anxiety on brain responses to emotional faces, accounting for age. Our findings indicated a significant anxiety-by-sex interaction in a posterior network covering bilateral visual and medial temporal cortices during the happy > neutral contrast. Specifically, girls with higher anxiety showed weaker activation while boys showed the opposite pattern. These findings suggest that the inter-subject variability reported in typically developing individuals in response to facial emotions may be related to many factors, including sex and anxiety level.

Face Processing in Prematurely Born Individuals-A Systematic Review.

Prematurely born individuals are at risk for developing socio-emotional difficulties and psychopathologies such as autism spectrum disorder. Particular difficulties processing social information conveyed by the face may underlie these vulnerabilities. This comprehensive review provides an overview of 27 studies published between 2000 and mid-2022 concerning face processing in individuals born preterm and/or born with low birth weight across different age ranges, paradigms, and outcome measures. The results were interpreted across different developmental stages. Behavioural studies indicated that prematurity is associated with poorer facial identity and expression processing compared to term-born controls, especially for negative emotions. Structural alterations and delayed maturation in key neural face processing structures could explain these findings. Neuroimaging also revealed functional atypicalities, which may either be rooted in the structural alterations or may partly compensate for the delayed maturation. The results suggest that altered face processing may be associated with an increased risk of developing psychopathologies in individuals born prematurely. Future studies should investigate the preterm behavioural phenotype and the potential need for face processing rehabilitation programs.

A Review of Facial Expression Recognition Based on Convolutional Neural Networks

Abstract. The intelligent processing of human facial expressions has gained popularity due to the growth of big data and the expanding knowledge of AI and machine learning. In this paper, the author reviews the current mainstream methods for face recognition using convolutional neural network (CNN) models in deep learning, providing insights and future directions. By collecting and analyzing research findings, the characteristics, strengths and weaknesses of each model are discussed. The results indicate that CNN-based face recognition systems typically involve several steps: face detection, face alignment, face representation, face matching, and post-processing. By examining expression recognition with models like LeNet-5, AlexNet, VGGNet, and GoogleNet, the author concludes that CNNs possess features such as being data-driven, capable of feature learning, multi-level structured, adaptable to different domains, capable of real-time processing, and supporting multi-task learning. This technology has made significant strides and offers considerable potential for further development.

Association of neuroimaging measures with facial emotional processing in healthy adults: a task fMRI study.

Investigating the neural processing of emotion-related neural circuits underlying emotional facial processing may help in understanding mental disorders. We used two subscales of the Toronto Alexithymia Scale to assess the emotional cognitive of 25 healthy participants. A higher score indicates greater difficulty in emotional perception. In addition, participants completed a n-back task during functional magnetic resonance imaging. Psychophysiological interaction analysis was used to explore the functional connectivity (FC) of neural circuits. Next, we used elastic-net regression analysis for feature selection and conducted correlation analysis between the neuroimaging measures and questionnaire scores. Following a 3-fold cross-validation, 5 neuroimaging measures emerged as significant features. Results of correlation analysis demonstrated that participants with higher TAS scores exhibited increased FC between the amygdala and occipital face area (OFA) during facial stimulus processing, but decreased connectivity during emotional processing. These findings suggested that individuals with poor emotional recognition exhibited increased connectivity among face-related brain regions during facial processing. However, during emotional processing, decreasing neural synchronization among neural circuits involved in emotional processing affects facial expression processing. These findings suggest potential neural marker related to subjective emotional perception, which may contribute to the diagnosis and treatment of emotional dysregulation in individuals with psychiatric conditions.

"Hot" affect-related aspects in emotional information processing: The role of facial muscle responses in the direct and indirect processing of emotion categories.

The present study investigated the involvement of facial muscle responses in the indirect and direct processing of emotional facial expressions. Five discrete emotion categories were used, and we assessed both facial muscle and behavioral responses on a trial-by-trial basis. Experiment 1 tested facial muscle activation of clearly visible stimuli in an emotion categorization task. We observed emotion-specific facial muscle responses and corresponding behavioral categorization effects, providing evidence for the specificity of facial muscle activation. By contrast, under masked indirect presentation conditions in which emotional facial expressions were presented as primes in an emotion misattribution procedure, a specific pattern of emotion-congruent and cross-category behavioral misattributions was observed (in line with Rohr et al., 2015, 2018). Multilevel analyses in Study 2 suggest that an emotional reaction feeds into the behavioral decision, as indicated by differential activation of the frontalis lateralis in response to angry faces. Thus, the present study provides evidence that facial muscle responses contribute to behavioral decisions under masked indirect processing conditions. The different pattern of effects in both studies suggests that facial muscle responses index different processes, depending on the processing conditions: sensorimotor simulation in direct processing conditions and emotional reactions in masked indirect processing conditions. We discuss the implications for models that aim to account for facial muscle activity in response to emotional facial expressions. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

The neuronal signature of surprised facial expression processing under different attentional focuses: A time-domain and time-frequency study.

Previous studies have shown that high-arousal positive and negative facial expressions influence event-related potential (ERP) and time-frequency responses depending on attentional focuses. However, little is known about how relevant neural responses are influenced by surprised facial expressions, which are also high in arousal but ambiguous in valence. To address the issue, 38 participants were presented with surprised, happy, angry and neutral facial expressions. Attention was manipulated to focus on facial emotional attributes, facial non-emotional attributes, non-facial attributes, or was free to the participants. ERP results showed larger N170 responses to surprised compared to neutral facial expressions when attention focused on facial attributes and to surprised compared to angry and neutral facial expressions when attention focused on facial non-emotional attributes. Time-frequency analyses revealed reduced power of early occipital theta to surprised compared to happy and angry expressions when attention focused on facial emotions and to surprised compared to angry expressions when attention focused on non-facial stimuli. Parietal delta power was smaller for surprised facial expressions than for angry facial expressions when attention focused on facial emotions and for surprised facial expressions than for angry and neutral facial expressions when attention was directed to non-facial stimuli. These findings might suggest that neural responses to surprised facial expressions are modulated by attentional focus.

The influence of contextual uncertainty on facial expression processing: Evidence from behavior and ERPs

The brain helps individuals build expectations based on emotional prediction, facilitating the processing of faces in social interactions. Due to the intricacy of the environment, accurately predicting emotions remains a formidable task. Contextual uncertainty represents a state characterized by the inability to predict when, how, and why events occur. It leads to intensified sentiments and triggers adverse emotions like anxiety. Therefore, comprehending the influences of contextual uncertainty carries importance. The present study utilized event-related potentials (ERPs) technology to investigate contextual uncertainty's influence on facial expression processing. We employed a novel S1-S2 paradigm, using scene images as S1 and faces as S2. From the learning phase into the testing phase, the certain to uncertain group (CER to UNC) experienced more unpredictability (increased uncertainty), whereas the uncertain to certain group (UNC to CER) experienced more predictability (decreased uncertainty). This allowed for manipulating dynamic alterations in predictive relationships. The behavioral results showed that the valence ratings of neutral facial expressions were more negative in the CER to UNC group with increased contextual uncertainty. The ERP results showed that the more negative SPN (stimulus preceding negativity) amplitudes and positive LPP (late positive potential) amplitudes were observed in the UNC to CER group with decreased contextual uncertainty, compared to the CER to UNC group with increased contextual uncertainty. These findings have indicated that contextual uncertainty affects facial expression processing. In summary, these results contributed to comprehending the contextual uncertainty.

Between faces: childhood adversity is associated with reduced threat-safety discrimination during facial expression processing in adolescence

BackgroundChildhood adversity has been associated with alterations in threat-related information processing, including heightened perceptual sensitivity and attention bias towards threatening facial expressions, as well as hostile attributions of neutral faces, although there is a large degree of variability and inconsistency in reported findings.MethodsHere, we aimed to implicitly measure neural facial expression processing in 120 adolescents between 12 and 16 years old with and without exposure to childhood adversity. Participants were excluded if they had any major medical or neurological disorder or intellectual disability, were pregnant, used psychotropic medication or reported acute suicidality or an ongoing abusive situation. We combined fast periodic visual stimulation with electroencephalography in two separate paradigms to assess the neural sensitivity and responsivity towards neutral and expressive, i.e. happy and angry, faces. Linear mixed effects models were used to assess the impact of childhood adversity on facial expression processing.ResultsSixty-six girls, 53 boys and one adolescent who identified as ‘other’, between 12 and 16 years old (M = 13.93), participated in the current study. Of those, 64 participants were exposed to childhood adversity. In contrast to our hypotheses, adolescents exposed to adversity show lower expression-discrimination responses for angry faces presented in between neutral faces and higher expression-discrimination responses for happy faces presented in between neutral faces than unexposed controls. Moreover, adolescents exposed to adversity, but not unexposed controls, showed lower neural responsivity to both angry and neutral faces that were simultaneously presented.ConclusionsWe therefore conclude that childhood adversity is associated with a hostile attribution of neutral faces, thereby reducing the dissimilarity between neutral and angry faces. This reduced threat-safety discrimination may increase risk for psychopathology in individuals exposed to childhood adversity.

Perception of emotional facial expressions in aggression and psychopathy.

Altered affective state recognition is assumed to be a root cause of aggressive behavior, a hallmark of psychopathologies such as psychopathy and antisocial personality disorder. However, the two most influential models make markedly different predictions regarding the underlying mechanism. According to the integrated emotion system theory (IES), aggression reflects impaired processing of social distress cues such as fearful faces. In contrast, the hostile attribution bias (HAB) model explains aggression with a bias to interpret ambiguous expressions as angry. In a set of four experiments, we measured processing of fearful and angry facial expressions (compared to neutral and other expressions) in a sample of 65 male imprisoned violent offenders rated using the Hare Psychopathy Checklist-Revised (PCL-R, Hare, R. D. (1991). The psychopathy checklist-revised. Toronto, ON: Multi-Health Systems) and in 60 age-matched control participants. There was no evidence for a fear deficit in violent offenders or for an association of psychopathy or aggression with impaired processing of fearful faces. Similarly, there was no evidence for a perceptual bias for angry faces linked to psychopathy or aggression. However, using highly ambiguous stimuli and requiring explicit labeling of emotions, violent offenders showed a categorization bias for anger and this anger bias correlated with self-reported trait aggression (but not with psychopathy). These results add to a growing literature casting doubt on the notion that fear processing is impaired in aggressive individuals and in psychopathy and provide support for the idea that aggression is related to a hostile attribution bias that emerges from later cognitive, post-perceptual processing stages.

Predictability modulates the early neural coding of spatially unattended fearful faces

In this study, we assessed whether predictability affected the early processing of facial expressions. To achieve this, we measured lateralised early- and mid-latency event-related potentials associated with visual processing. Twenty-two participants were shown pairs of bilaterally presented fearful, happy, angry, or scrambled faces. Participants were required to identify angry faces on a spatially attended side whilst ignoring happy, fearful, and scrambled faces. Each block began with the word HAPPY or FEARFUL which informed participants the probability at which these faces would appear. Attention effects were found for the lateralised P1, suggesting that emotions do not modulate the P1 differentially, nor do predictions relating to emotions. Pairwise comparisons demonstrated that, when spatially unattended, unpredicted fearful faces produced larger lateralised N170 amplitudes compared to predicted fearful faces and unpredicted happy faces. Finally, attention towards faces increased lateralised EPN amplitudes, as did both fearful expressions and low predictability. Thus, we demonstrate that the N170 and EPN are sensitive to top-down predictions relating to facial expressions and that low predictability appears to specifically affect the early encoding of fearful faces when unattended, possibly to initiate attentional capture.

Relevance of pre-stimulus oscillatory activity for the perceived valence of emotional facial expressions

The interpretation of emotional facial expressions is crucial in everyday social interactions, and rapid processing of these expressions is necessary. Although extensive research has shed light on the mechanisms involved in facial expression processing, there is limited research on the potential role of the state of neural activity that directly precedes the occurrence of a face. Here, we investigated the potential modulatory role of pre-stimulus oscillatory activity in emotional facial expression processing. We tested emotional facial processing in two experiments, one utilizing artificial and the other natural facial expressions. The participants had to evaluate the emotional valence of the presented ambiguous facial expressions. In a univariate analysis, differences in the oscillation activity of the later rated valence of the faces were observed in both experiments, and these differences were observed even before the presentation of the facial expressions. Importantly, two different multivariate approaches directly supported the relevance of pre-stimulus oscillatory activity by exclusively using pre-stimulus oscillatory data to predict the perceived valence of the latter rated facial expression across the two experiments within as well as across subjects. The behavioral data shows the often observed negativity bias, i.e. ambiguous faces resulted in the tendency to rate them as negative. This negativity bias was related to neural activity modulations in the pre-stimulus period and also within post-stimulus processing related activity. These findings underscore the significance of pre-stimulus oscillatory activity in facial expression processing, indicating a functional role of ongoing neural states that affects the processing of facial expressions and constitute a basis for the well described negativity bias.

Migraine versus tension-type headache in automatic emotional processing: A visual mismatch negativity study

It is important to discriminate different headaches in clinical practice, and neurocognitive biomarkers may serve as objective tools. Several reports have suggested potential cognitive impairment for primary headaches, whereas cognitions within specific domains remain elusive, e.g., emotional processing. In this study, we aimed to characterize processing of facial expressions in migraine and tension-type headache (TTH) by analyzing expression-related visual mismatch negativity (EMMN) and explored whether their processing patterns were distinct. Altogether, 73 headache patients (20 migraine with aura (MA), 28 migraine without aura (MwoA), 25 TTH) and 27 age-matched healthy controls were recruited. After a battery of mood/neuropsychological evaluations, an expression-related oddball paradigm containing multiple models of neutral, happy and sad faces was used to investigate automatic emotional processing. We observed cognitive impairment in all headache patients, especially in attention/execution subdomains, but no discrepancy existed among different headaches. Although analyses of P1/N170 did not reach significant levels, amplitude of early and late EMMN was markedly diminished in MA and MwoA compared with controls and TTH, regardless of happy or sad expression. Moreover, sad EMMN was larger (more negative) than happy EMMN only in controls, while not in all headache groups. Our findings implied that migraine, rather than TTH, might lead to more severe impairment of automatic emotional processing, which was manifested as no observable EMMN elicitation and disappearance of negative bias effect. The EMMN component could assist in discrimination of migraine from TTH and diagnosis of undefined headaches, and its availability needed further validations.

Horses can learn to identify joy and sadness against other basic emotions from human facial expressions

Recently, horses and other domestic mammals have been shown to perceive and react to human emotional signals, with most studies focusing on joy and anger. In this study, we tested whether horses can learn to identify human joyful and sad expressions against other emotions. We used a touchscreen-based automated device that presented pairs of human portraits and distributed pellets when the horse touched the rewarded face. Six horses were trained to touch the sad face and 5 the joyful face. By the end of training, horses' performances at the group level were significantly higher than chance level, with higher scores for horses trained with the sad face. At the individual level, evidence of task learning varied among horses, which could be explained by individual variations in horses' ability to identify different human facial expressions or attention issues during the tests. In a generalization test, we introduced portraits of different humans than those presented during training. Horses trained with the joyful face performed better than chance, demonstrating generalization. Conversely, horses trained with the sad face did not. Horses also showed differences in learning performance according to the non-rewarded emotion, providing insights into horses' cognitive processing of facial expressions.

Morality or competence is more important? The effect of evaluation dimensions on ERP responses to neutral faces depends on contextual valence and self-relevance

Recent studies have shown that the processing of neutral facial expressions could be modulated by the valence and self-relevance of preceding verbal evaluations. However, these studies have not distinguished the dimension (i.e., morality and competence) from verbal evaluations. In fact, there is a hot controversy about whether morality or competence receives more weight. Therefore, using the ERP technique, the current study aimed to address this issue by comparing the influence of morality and competence evaluations on behavioral and neural responses to neutral facial expressions when these evaluations varied with contextual valence and self-relevance. Our ERP results revealed that the early EPN amplitudes were larger for neutral faces after receiving evaluations about self relative to evaluations about senders. Moreover, the EPN was more negative after a competence evaluation relative to a morality evaluation when these evaluations were positive, while this effect was absent when these evaluations were negative. The late LPP was larger after a morality evaluation compared to a competence evaluation when these evaluations were negative and directed to self. However, no significant LPP effect between morality and competence evaluations was observed when these evaluations were positive. The present study extended previous studies by showing that early and late processing stages of faces are affected by the evaluation dimension in a top-down manner and further modulated by contextual valence and self-relevance.

Attention modulates facial expression processing in subsyndromal depression: A behavioral and ERP study

Impaired facial expression perception is a core element in depression, but the underlying mechanism remains controversial. This event-related potential study investigated how attention modulates facial expression perception in depression using a nonclinical sample. A group of healthy controls (HC, N=39) and a group of individuals with subsyndromal depression (SD, N=39) categorized faces based on either facial expression (happy vs. sad) or gender (male vs. female). Behaviorally, the SD group was less sensitive to the emotional valence of facial expression than the HC group when their attention was directed to facial expression, as revealed by comparable subjective ratings and accuracy rates in response to facial expressions. When attention was directed towards facial gender, the SD group versus the HC group showed a negative bias, as revealed by a faster N170 for sad faces than happy faces. Together, our findings suggest that attention plays a role in understanding the relationship between depression and facial expression perception.