Happy Expressions Research Articles

Angry or neutral, it does not matter to me: Implicit processing of facial emotions is not related to peer victimization experiences.

The aim of this study was to examine whether prolonged victimization relates to differential processing of emotions. Based on the social information processing theory, it was hypothesized that prolonged victimization would modulate emotion processing, such that victimization relates to a heightened attentional focus toward negative facial expressions and increased amygdala activation in response to negative facial expressions. We targeted a unique sample of 83 children (Mage = 10.6, 49.4% girls) whose victimization history in the past 2 years was available. An Emotional Dot-Probe Task and an Emotion Processing fMRI Task were administered to the participants. Findings included that victimization did not relate significantly to a heightened attentional focus on happy, angry, or fearful expressions. Viewing facial expressions resulted in the activation of the posterior medial frontal cortex, bilateral insula, bilateral fusiform face area, and the right amygdala and hippocampus, which was not related to victimization, nor was victimization related to activation in the amygdala or the social brain regions (medial prefrontal cortex, temporoparietal junction, precuneus, posterior superior temporal sulcus) when viewing specific emotional (happy, angry, afraid, sad) expressions. Together, these results do not provide evidence that implicit emotion processing without social context relates to victimization. Future research should replicate these results and further examine emotion processing in relation to severe victimization experiences and support systems, such as friendships or parenting, on emotion processing. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The influence of emotional cues and anthropomorphism on product temperature expectations

Throughout six online experiments (four pre-registered), in which participants were tasked to evaluate their temperature expectations of different beverages with or without emotional cues (i.e., emoji facial expressions) with specific temperature associations, we found that imbuing a product with emotional content can influence its expected temperature in online settings. A negative valence, low arousal (i.e., sad) expression on the receptacle of a hot beverage (e.g., hot chocolate milk, coffee) led to a lower expected temperature compared to a beverage with a positive valence, high arousal (i.e., happy) expression and a control condition without any expression. Notably, a happy expression did not result in any significant difference in expected temperature. In addition, there were no significant differences with cold beverages (i.e., iced chocolate milk, beer). We found that the influence of the sad emoji expression was enhanced with higher levels of anthropomorphism (i.e., making individuals focus on the emotions of the product). Our results suggest that the mechanism behind these effects is based on the product being imbued with the emotional connotation of the sad expression and, subsequently, its corresponding temperature association. Our research adds to the literature on consumer behaviour, food and anthropomorphism, and the relationship between temperature and emotions, and it has applications related to food expectations.

Category-Sensitive Age-Related Shifts Between Prosodic and Semantic Dominance in Emotion Perception Linked to Cognitive Capacities.

Prior research extensively documented challenges in recognizing verbal and nonverbal emotion among older individuals when compared with younger counterparts. However, the nature of these age-related changes remains unclear. The present study investigated how older and younger adults comprehend four basic emotions (i.e., anger, happiness, neutrality, and sadness) conveyed through verbal (semantic) and nonverbal (facial and prosodic) channels. A total of 73 older adults (43 women, Mage = 70.18 years) and 74 younger adults (37 women, Mage = 22.01 years) partook in a fixed-choice test for recognizing emotions presented visually via facial expressions or auditorily through prosody or semantics. The results confirmed age-related decline in recognizing emotions across all channels except for identifying happy facial expressions. Furthermore, the two age groups demonstrated both commonalities and disparities in their inclinations toward specific channels. While both groups displayed a shared dominance of visual facial cues over auditory emotional signals, older adults indicated a preference for semantics, whereas younger adults displayed a preference for prosody in auditory emotion perception. Notably, the dominance effects observed in older adults for visual and semantic cues were less pronounced for sadness and anger compared to other emotions. These challenges in emotion recognition and the shifts in channel preferences among older adults were correlated with their general cognitive capabilities. Together, the findings underscore that age-related obstacles in perceiving emotions and alterations in channel dominance, which vary by emotional category, are significantly intertwined with overall cognitive functioning. https://doi.org/10.23641/asha.27307251.

Anthropomorphic Sad Expressions Reduce Waste of “Single” Imperfect Food

ABSTRACTPoint‐of‐sale anthropomorphism—attributing human characteristics to nonhuman entities—has been shown to increase evaluations of food that deviates in shape or form from consumer expectations (“imperfect food”). However, while previous research has included the use of primary emotions to manipulate anthropomorphism, it is unclear whether depicting imperfect produce with happy or sad emotional expressions is more effective in boosting choice of such produce. This research addresses this gap and additionally examines a novel type of imperfection: when produce is torn off the bunch it normally comes in. A field study conducted at a large food retailer in Germany revealed that sales of “single” bananas significantly increased when they were anthropomorphized with sad emotions compared to when they were anthropomorphized with happy emotions or not anthropomorphized. Across three preregistered online experiments, this research corroborates the effectiveness of sad emotional expressions in boosting purchase intentions, establishes compassion as the underlying process, generalizes this effect to other produce (i.e., tomatoes), and shows that a price discount eliminates this effect. The findings of this research are particularly relevant for food retailers aiming to increase purchases, and thus reduce waste, of fresh produce that has become a loose “single.”

Category-dependent contribution of dog facial and bodily cues in human perception of dog emotions

The increasing popularity of human-dog interaction in our society calls for fuller understanding of humans’ ability to appraise dogs’ affective states, yet most research only focuses on recognizing dog facial expressions of primary/basic emotions. While the face is the dominant human emotional expression channel, bodily cues are also informative indicators of dog emotional states. In this online study, with dynamic and naturalistic videos depicting a common range of dog primary (anger, disgust, fear, happiness, sadness, surprise) and secondary emotions (appeasement, frustration, pain, positive anticipation, separation-distress), we compared human performance from 447 participants in categorizing dog facial expressions (with a visible dog face only) and bodily expressions (with a visible dog face and body). The analysis revealed when averaging across all tested emotions, bodily expression tended to attract higher categorization accuracy than facial expression. However, the two expression channels demonstrated category-dependent modification of dog emotion categorization accuracy (e.g., higher accuracy in recognizing facial expressions of anger and surprise, but bodily expressions of happiness and fear) and bias (e.g., mistaking fear facial expression as happiness, but fear bodily expression as sadness). Furthermore, the impact of owner experience on recognizing dog emotions was also modulated by the expression channel and emotion category (e.g., prolonged experience with dogs tended to improve performance in recognizing the fear facial expression, and the appeasement bodily expression). Taken together, these results suggest that different channels of emotional expression by dogs may transmit category-specific diagnostic emotional cues, which aid human appraisal of their affective states.

A highly naturalistic facial expression generation method with embedded vein features based on diffusion model

Abstract Facial expression generation technology has achieved notable progress in computer vision and artificial intelligence. However, challenges persist regarding background consistency, expression clarity, and detailed representation. Additionally, the instability of generative adversarial networks (GANs) during training affects both image quality and diversity. While diffusion models have demonstrated potential advantages over GANs, research on controllable expression generation remains limited. To address these challenges, this paper proposes a highly natural facial expression generation method based on denoising diffusion implicit models (DDIM) with embedded vein features. This approach avoids adversarial training by employing gradual diffusion to generate specific expressions, thereby enhancing both the diversity and authenticity of the images. Vein features are introduced and embedded within the generated expression images to protect the intellectual property of algorithm-generated digital resources. Firstly, image and expression text guide words are combined as conditional inputs to improve the authenticity and diversity of the generated images. Secondly, a classification coding network is introduced to guide expression generation, thus enhancing the accuracy and consistency of the produced expressions. Furthermore, this paper proposes a vein feature fusion method based on multi-directional local dynamic feature coding operator (MLDFO) and integrates DDIM with frequency-domain watermarking technology to achieve image intellectual property protection. Experimental results demonstrate the effectiveness of this method across several public datasets, including FFHQ, CelebA, FV-USM, and SDUMLA-HMT. Notably, in the CelebA dataset, the average expression recognition rate increased by 11.41%, with a 100.00% recognition rate for happy expressions. The generated expression images exhibit a high degree of authenticity and consistency, and the video conversion tests reveal a natural and smooth effect. These results confirm that this method not only advances facial expression generation technology but also significantly enhances the steganographic protection of images.

Methodological Variations to Explore Conflicting Results in the Existing Literature of Masking Smile Judgment.

Although a smile can serve as an expression of genuine happiness, it can also be generated to conceal negative emotions. The traces of negative emotion present in these types of smiles can produce micro-expressions, subtle movements of the facial muscles manifested in the upper or lower half of the face. Studies examining the judgment of smiles masking negative emotions have mostly employed dichotomous rating measures, while also assuming that dichotomous categorization of a smile as happy or not is synonymous with judgments of the smile's authenticity. The aim of the two studies was to explore the judgment of enjoyment and masking smiles using unipolar and bipolar continuous rating measures and examine differences in the judgment when instruction varied between judgments of happiness and authenticity. In Experiment 1, participants rated smiles on 7-point scales on perceived happiness and authenticity. In Experiment 2, participants rated the smiles on bipolar 7-point scales between happiness and a negative emotion label. In both studies, similar patterns were observed: faces with traces of fear were rated significantly less happy/authentic and those with traces of anger in the brows were rated significantly happier/more authentic. Regarding varied instruction type, no effect was found for the two instruction types, indicating that participants perceive and judge enjoyment and masking smiles similarly according to these two instructions. Additionally, the use of bipolar scales with dimensions between a negative emotion label and happiness were not consistently effective in influencing the judgement of the masking smile.

Perceptual sensitivity to labeling stereotyped emotion expressions: Associations with age and subclinical psychopathology symptoms from childhood through early adulthood.

This study investigates (a) age-related differences in how the intensity of stereotyped facial expressions influence the emotion label children, adolescents, and adults assign to that face and (b) how this perceptual sensitivity relates to subclinical symptoms of psychopathology. In 2015-2016, 184 participants aged 4-25 years viewed posed stereotypes of angry, fearful, sad, and happy expressions morphed with neutral expressions at 10%-90% intensity. Thin plate regression smoothing splines were used to chart nonlinear associations between age and the perceptual threshold participants needed to assign the emotion label expected based on cultural consensus. Results suggest that sensitivity to labeling stereotypical happy faces as "happy" peaked by age 4. Sensitivity to perceiving stereotypical angry faces as "angry" increased from ages 4 to 7 and then plateaued. In contrast, sensitivity to perceiving stereotypical fearful and sad faces demonstrated protracted development, not reaching a plateau until ages 15 and 16, respectively. Reduction in selecting the "I don't know" response was the primary driver of these age-related changes. Stereotyped fear expressions required the highest intensity to be labeled as such and showed the most marked change in perceptual threshold across development. Interestingly, lower intensity morphs of stereotypical fear faces were frequently labeled "sad." Furthermore, perceiving lower intensity fear morphs was associated with fewer internalizing and externalizing symptoms in participants aged 7-19. This study describes the development of perceptual sensitivity to labeling stereotypical expressions of emotion according to cultural consensus and shows that how people perceive and categorize ambiguous facial expressions is associated with vulnerability to psychopathology. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Evaluating the Impact of BoNT-A Injections on Facial Expressions: A Deep Learning Analysis.

Botulinum Toxin Type A (BoNT-A) injections are widely used for facial rejuvenation, but their effects on facial expressions remain unclear. This study aims to objectively measure the impact of BoNT-A injections on facial expressions using deep learning techniques. 180 patients aged 25-60 years who underwent BoNT-A application to the upper face were included. Patients were photographed with neutral, happy, surprised, and angry expressions before and 14 days after the procedure. A Convolutional Neural Network (CNN)-based Facial Emotion Recognition (FER) system analyzed 1440 photographs using a hybrid dataset of clinical images and the Karolinska Directed Emotional Faces (KDEF) dataset. The CNN model accurately predicted 90.15% of the test images. Significant decreases in the recognition of angry and surprised expressions were observed post-injection (p<0.05), with no significant changes in happy and neutral expressions (p>0.05). Angry expressions were often misclassified as neutral or happy (p<0.05), and surprised expressions were more likely to be perceived as neutral (p<0.05). Deep learning can effectively assess the impact of BoNT-A injections on facial expressions, providing more standardized data than traditional surveys. BoNT-A may reduce the expression of anger and surprise, potentially leading to a more positive facial appearance and emotional state. Further studies are needed to understand the broader implications of these changes.

Greater social network complexity mitigates pandemic-related negativity

Having strong, diverse social relationships is tightly linked to myriad physical and mental health benefits by mitigating the negative impacts of adverse events. The COVID-19 pandemic brought increased uncertainty and changes to our social lives that reduced the spread of COVID-19 (e.g., social distancing), but also likely impacted emotional well-being. We investigated how one of these changes – changing social networks – relates to emotional bias (a proxy for well-being), specifically one’s tendency to interpret ambiguous stimuli as positive or negative (i.e., valence bias). Participants ( N = 614) categorized the valence of clearly (e.g., angry and happy expressions) and ambiguously valenced stimuli (e.g., surprised expressions), and were asked about their social network before and during the pandemic. Compared to before the pandemic, participants reported a decrease in overall network size ( p &lt; .001) and number of embedded networks (i.e., a measure of network complexity represented by number of areas of social activity; p &lt; .001). In a model with all three social network dimensions (size, complexity, diversity), network complexity uniquely predicted valence bias ( p = .02). Specifically, participants with greater social network complexity during the pandemic showed a more positive bias. Further, participants that did not experience a pandemic-related reduction in network complexity were protected from pandemic-related increases in negativity ( p &lt; .001). In other words, having a more complex social network could act as a protective factor against adverse outcomes in times of uncertainty.

Social cognition and healthy aging: Cross-sectional associations of emotion perception, theory of mind, and emotional empathy

Abstract Objective: Older adults are identified to have reduced social cognitive performance compared to younger adults. However, few studies have examined age-associations throughout later life to determine whether these reductions continue with advancing age. Method: This study assesses cross-sectional associations of emotion perception, cognitive and affective theory of mind (ToM), and emotional empathy in a healthy sample of 157 adults aged 50–89 years (M = 65.31, SD = 9.00, 68% female sex). Emotion perception, cognitive ToM, and affective ToM were measured using The Awareness of Social Inference Test Short Form (TASIT-S), while affective ToM was also measured using Reading the Mind in the Eyes Revised (RME-R). Emotional empathy was measured using the Empathy Quotient. Results: Multiple regression analyses, adjusting for multiple comparisons, revealed a moderate negative association between age and emotion perception for all emotions combined, as well as for sad and revolted expressions, but not happy, neutral, anxious, or angry expressions. Age had a negative, moderate association with first-order cognitive, second-order cognitive, and affective ToM measured using TASIT-S, but not RME-R. Age was not significantly associated with emotional empathy. Conclusions: This study contributes to the limited understanding of age-related associations of social cognitive performance throughout later life. This knowledge can inform future research examining the clinical utility of including social cognitive measures in neuropsychological screening and diagnostic tools for later-life neurological disorders.

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.

Improved Histogram of Oriented Gradient (HOG) Feature Extraction for Facial Expressions Classification

Facial expression classification system is one of the implementations of machine learning (ML) that takes facial expression datasets, undergoes training, and then utilizes the trained results to recognize facial expressions in new facial images. The recognized facial expressions include anger, contempt, disgust, fear, happy, sadness, and surprise expressions. The method employed for facial feature extraction utilizes histogram-oriented gradient (HOG). This study proposes an enhancement method for HOG feature extraction by reducing the feature dimension into multiple sub-features based on gradient orientation intervals, referred to as HOG channel (HOG-C). Classifier testing techniques are divided into two methods for comparison—support vector machines (SVM) with HOG features and SVM with HOG-C features. The testing results demonstrate that SVM with HOG achieves an accuracy of 99.9% with an average training time of 18.03 minutes, while SVM with HOG-C attains a 100% accuracy with an average training time of 18.09 minutes. The testing outcomes reveal that the implementation of SVM with HOG-C successfully enhances accuracy for facial expression classification.

The Influence of Social Context on Adolescents’ use of Prototypical Facial Expressions

Adolescents’ social behaviour varies by social context (e.g., who they are with); they might ‘play it cool’ with peers while displaying vulnerability with caregivers. Yet, the way in which social context affects teenagers’ nonverbal expression is unknown. The current study addresses this knowledge gap by examining how teenagers’ facial expressions differs when discussing emotionally charged topics with a friend vs. with a caregiver. Thirty-one 11 to 16-year-old participants engaged in two separate conversations, with their caregiver and friend, respectively (social context). Within each context, they spoke about emotionally charged topics (happy vs angry) of their choosing (emotional type). Facial analysis software (iMotions) was employed to quantify the prototypicality of angry and happy facial expressions. Two separate within-subject factorial (2x2) ANOVAs were conducted to assess the effect of social context and emotional type on the prototypicality of happy and angry facial expressions. There was a significant main effect of social context on prototypical facial cues of anger (F(1, 30) = 5.45, p = .026) with adolescents exhibiting more prototypical angry expressions with their friends than with their caregivers. Moreover, there was a significant main effect of emotional type on prototypical facial cues of happiness (F(1, 30) = 4.72, p = .038) with adolescents displaying more prototypical happy facial expressions when discussing happy topics compared to angry topics. No other effects were significant. The above main effects were rendered non-significant after accounting for sex assigned at birth and age. As the current study is ongoing, the next steps will be to increase our sample size to boost statistical power and to investigate whether the change in non-verbal encoding we observe across social context relates to teens' socio-emotional functioning. With these results, we can better support teenagers in their emotional expression to foster relationship formation and social success throughout adolescence.

Refleksi Budaya Etnis Tionghoa dalam Kesenian Barongsai di Kota Singkawang

The lion dance is a form of ethnic Chinese culture with a beautiful variety of motion and visual ornaments. The purpose of this research is to serve as a reminder of cultural preservation and inheritance. The primary reflection resources paired with Feldman's art criticism method include a historical overview, performance dynamics, ritual/celebration procedures, and cultural heritage. This study also provides a glimpse into and description of ethnic Chinese's effort to express cultural arts following a time of prejudice. The dissection is carried out utilising descriptive qualitative methodologies, with data collected through participant observation, in-depth interviews, and documentation. Triangulation of sources with ethnomusicologists validates the data analysed using an inter-academic model. Cultural reflection produced by Barongsai arts for ethnic Chinese includes reminders and awareness of evaluative materials related to the struggle for discrimination in the historical context, entertainment and sports functions in the context of performance dynamics, meanings and symbols of happy and sad expressions in the context of ritual / celebration processes, and sorting out incoming outside cultures for the younger generation in the context of cultura. It is critical and beneficial that the findings of this study serve as a vehicle and platform for future attempts to maintain and enhance the Barongsai art form. In addition, there needs to be support between elements of the ethnic Chinese community and the government so that the art of Barongsai can be preserved and developed in the future.

Body shape rather than facial emotion of others alters interpersonal distance in patients with anorexia nervosa.

The study investigated interpersonal distance in patients with anorexia nervosa (AN), focussing on the role of other's facial expression and morphology, also assessing physiological and subjective responses. Twenty-nine patients with AN and 30 controls (CTL) were exposed to virtual characters either with an angry, neutral, or happy facial expression or with an overweight, normal-weight, or underweight morphology presented either in the near or far space while we recorded electrodermal activity. Participants had to judge their preferred interpersonal distance with the characters and rated them in terms of valence and arousal. Unlike CTL, patients with AN exhibited heightened electrodermal activity for morphological stimuli only, when presented in the near space. They also preferred larger and smaller interpersonal distances with overweight and underweight characters respectively, although rating both negatively. Finally, and similar to CTL, they preferred larger interpersonal distance with angry than neutral or happy characters. Although patients with AN exhibited behavioural response to emotional stimuli similar to CTL, they lacked corresponding physiological response, indicating emotional blunting towards emotional social stimuli. Moreover, they showed distinct behavioural and physiological adjustments in response to body shape, confirming the specific emotional significance attached to body shape.

Pupillary Responses to Dynamic Negative Versus Positive Facial Expressions of Emotion in Children and Parents: Links to Depression and Anxiety.

Witnessing emotional expressions in others triggers physiological arousal in humans. The current study focused on pupil responses to emotional expressions in a community sample as a physiologicalindex of arousal and attention. We explored the associations between parents' and offspring's responses to dynamic facial expressions of emotion, as well as the links between pupil responses and anxiety/depression. Children (N=90, MAge=10.13, range=7.21-12.94, 47 girls) participated in this lab study with one of their parents (47 mothers). Pupil responses were assessed in a computer task with dynamic happy, angry, fearful, and sad expressions, while participants verbally labeled the emotion displayed on the screen as quickly as possible. Parents and children reported anxiety and depression symptoms in questionnaires. Both parents and children showed stronger pupillary responses to negative versus positive expressions, and children's responses were overall stronger than those of parents. We also found links between the pupil responses of parents and children to negative, especially to angry faces. Child pupil responses were related to their own and their parents' anxiety levels and to their parents' (but not their own) depression. We conclude that child pupils are sensitive to individual differences in parents' pupils and emotional dispositions in community samples.

EEG correlates of static and dynamic face perception: The role of naturalistic motion

Much of our understanding of how the brain processes dynamic faces comes from research that compares static photographs to dynamic morphs, which exhibit simplified, computer-generated motion. By comparing static, video recorded, and dynamic morphed expressions, we aim to identify the neural correlates of naturalistic facial dynamism, using time-domain and time-frequency analysis. Dynamic morphs were made from the neutral and peak frames of video recorded transitions of happy and fearful expressions, which retained expression change and removed asynchronous and non-linear features of naturalistic facial motion. We found that dynamic morphs elicited increased N400 amplitudes and lower LPP amplitudes compared to other stimulus types. Video recordings elicited higher LPP amplitudes and greater frontal delta activity compared to other stimuli. Thematic analysis of participant interviews using a large language model revealed that participants found it difficult to assess the genuineness of morphed expressions, and easier to analyse the genuineness of happy compared to fearful expressions. Our findings suggest that animating real faces with artificial motion may violate expectations (N400) and reduce the social salience (LPP) of dynamic morphs. Results also suggest that delta oscillations in the frontal region may be involved with the perception of naturalistic facial motion in happy and fearful expressions. Overall, our findings highlight the sensitivity of neural mechanisms required for face perception to subtle changes in facial motion characteristics, which has important implications for neuroimaging research using faces with simplified motion.

Attentional processes in response to emotional facial expressions in adults with retrospectively reported peer victimization of varying severity: Results from an ERP dot-probe study

BackgroundAttentional processes are influenced by both stimulus characteristics and individual factors such as mood or personal experience. Research has suggested that attentional biases to socially relevant stimuli may occur in individuals with a history of peer victimization in childhood and adolescence. Based on this, the present study aimed to examine attentional processes in response to emotional faces at both the behavioral and neurophysiological levels in participants with experiences of peer victimization.MethodsIn a sample of 60 adult participants with varying severity of retrospectively reported peer victimization in childhood and adolescence, the dot-probe task was administered with angry, disgusted, sad, and happy facial expressions. In addition to behavioral responses, physiological responses (i.e., event-related potentials) were analyzed.ResultsAnalyses of mean P100 and P200 amplitudes revealed altered P200 amplitudes in individuals with higher degrees of peer victimization. Higher levels of relational peer victimization were associated with increased P200 amplitudes in response to facial expressions, particularly angry and disgusted facial expressions. Hierarchical regression analyses showed no evidence for an influence of peer victimization experiences on reaction times or P100 amplitudes in response to the different emotions.ConclusionCortical findings suggest that individuals with higher levels of peer victimization mobilize more attentional resources when confronted with negative emotional social stimuli. Peer victimization experiences in childhood and adolescence appear to influence cortical processes into adulthood.

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

ObjectiveIt 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. MethodsAltogether, 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. ResultsWe 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. ConclusionsOur 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.