Emotion Recognition Ability Research Articles

Effects of the mu-opioid receptor agonist morphine on facial mimicry and emotion recognition

Facial mimicry and emotion recognition are two socio-cognitive abilities involved in adaptive socio-emotional behavior, promoting affiliation and the establishment of social bonds. The mu-opioid receptor (MOR) system plays a key role in affiliation and social bonding. However, it remains unclear whether MORs are involved in the categorization and spontaneous mimicry of emotional facial expressions. Using a randomized, placebo-controlled, double-blind, between-subjects design, we investigated in 82 healthy female volunteers the effects of the specific MOR agonist morphine on the recognition accuracy of emotional faces (happiness, anger, fear), and on their facial mimicry (measured with electromyography). Frequentist statistics did not reveal any significant effects of drug administration on facial mimicry or emotion recognition abilities. However, post hoc Bayesian analyses provided support for an effect of morphine on facial mimicry of fearful facial expressions. Specifically, compared to placebo, morphine reduced mimicry of fear, as shown by lower activity of the frontalis muscle. Bayesian analyses also provided support for the absence of a drug effect on mimicry of happy and angry facial expressions, which were assessed with the zygomaticus major and corrugator supercilii muscles, as well as on emotion recognition accuracy. These findings suggest that MOR activity is involved in automatic facial responses to fearful stimuli, but not in their identification. Overall, the current results, together with the previously reported small effects of opioid compounds, suggest a relatively marginal role of the MOR system in emotion simulation and perception.

Altered amygdala shape trajectories and emotion recognition in youth at familial high risk of schizophrenia who develop psychosis

Relatives of individuals with schizophrenia have a higher risk of developing the illness compared to the general population. Thus, youth at familial high risk (FHR) offer a unique opportunity to identify neuroimaging-based endophenotypes of psychosis. Previous studies have identified lower amygdalo-hippocampal volume in FHR, as well as lower verbal memory and emotion recognition. However, whether these phenotypes increase the risk of transition to psychosis remains unclear. To determine if individuals who develop psychosis have abnormal neurodevelopmental trajectories of the amygdala and hippocampus, we investigated longitudinal changes of these structures in a unique cohort of 82 youth FHR and 56 healthy controls during a 3-year period. Ten individuals from the FHR group converted to psychosis. Longitudinal changes were compared using linear mixed-effects models. Group differences in verbal memory and emotion recognition performance at baseline were also analyzed. Surface-based morphometry measures revealed variation in amygdalar shape (concave shape of the right dorsomedial region) in those who converted to psychosis. Significantly lower emotion recognition performance at baseline was observed in converters. Percent trial-to-trial transfer on the verbal learning task was also significantly impaired in FHR, independently of the conversion status. Our results identify abnormal shape development trajectories in the dorsomedial amygdala and lower emotion recognition abilities as phenotypes of transition to psychosis. Our findings illustrate potential markers for early identification of psychosis, aiding prevention efforts in youth at risk of schizophrenia.

Dopaminergic Modulation of Dynamic Emotion Perception.

Emotion recognition abilities are fundamental to our everyday social interaction. A large number of clinical populations show impairments in this domain, with emotion recognition atypicalities being particularly prevalent among disorders exhibiting a dopamine system disruption (e.g., Parkinson's disease). Although this suggests a role for dopamine in emotion recognition, studies employing dopamine manipulation in healthy volunteers have exhibited mixed neural findings and no behavioral modulation. Interestingly, while a dependence of dopaminergic drug effects on individual baseline dopamine function has been well established in other cognitive domains, the emotion recognition literature so far has failed to account for these possible interindividual differences. The present within-subjects study therefore tested the effects of the dopamine D2 antagonist haloperidol on emotion recognition from dynamic, whole-body stimuli while accounting for interindividual differences in baseline dopamine. A total of 33 healthy male and female adults rated emotional point-light walkers (PLWs) once after ingestion of 2.5 mg haloperidol and once after placebo. To evaluate potential mechanistic pathways of the dopaminergic modulation of emotion recognition, participants also performed motoric and counting-based indices of temporal processing. Confirming our hypotheses, effects of haloperidol on emotion recognition depended on baseline dopamine function, where individuals with low baseline dopamine showed enhanced, and those with high baseline dopamine decreased emotion recognition. Drug effects on emotion recognition were related to drug effects on movement-based and explicit timing mechanisms, indicating possible mediating effects of temporal processing. Results highlight the need for future studies to account for baseline dopamine and suggest putative mechanisms underlying the dopaminergic modulation of emotion recognition.SIGNIFICANCE STATEMENT A high prevalence of emotion recognition difficulties among clinical conditions where the dopamine system is affected suggests an involvement of dopamine in emotion recognition processes. However, previous psychopharmacological studies seeking to confirm this role in healthy volunteers thus far have failed to establish whether dopamine affects emotion recognition and lack mechanistic insights. The present study uncovered effects of dopamine on emotion recognition in healthy individuals by controlling for interindividual differences in baseline dopamine function and investigated potential mechanistic pathways via which dopamine may modulate emotion recognition. Our findings suggest that dopamine may influence emotion recognition via its effects on temporal processing, providing new directions for future research on typical and atypical emotion recognition.

Exploring the relationship between children's facial emotion processing characteristics and speech communication ability using deep learning on eye tracking and speech performance measures

The ability of efficient facial emotion recognition (FER) plays a significant role in successful human communication and is closely associated with multiple speech communication disorders (SCD) in children. Despite the relevance, little is known about how speech communication abilities (SCA) and FER are correlated or of their underlying mechanism. To address this, we monitored eye movements of 115 children while watching human faces with different emotions and designed a machine-learning based SCD prediction model to explore the underlying pattern of eye movements during the FER task as well as their correlation with SCA. Strong and detailed correlations were found between different dimensions of SCA and various eye-movement features. A group of FER gazing patterns was found to be highly sensitive to the possibility of children's SCD. The SCD prediction model reached an accuracy as high as 88.9%, which offers a possible technique to fast screen SCD for children.

Unravelling neural correlates of empathy deficits in Subjective Cognitive Decline, Mild Cognitive Impairment and Alzheimer’s Disease

Empathy is the ability to understand (cognitive empathy) and to feel (affective empathy) what others feel. The aim of the study was to assess empathy deficit and neuronal correlates in Subjective Cognitive Decline (SCD), Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) dementia. Twenty-four SCD, 41 MCI and 46 CE patients were included. Informer-rated Interpersonal Reactivity Index was used to explore cognitive (Perspective Taking-PT, Fantasy-FT) and affective (Empathic Concern-EC, Personal Distress-PD) empathy, before (T0) and after (T1) cognitive symptoms’ onset. Emotion recognition ability was tested through Ekman-60 Faces Test. Cerebral FDG-PET SPM analysis was used to explore neural correlates underlying empathy deficits. FT-T1 scores were lower in AD compared to SCD (13.0 ± 8.0 vs 19.1 ± 4,7 p = 0.008), PD-T1 score were higher in AD compared to MCI and to SCD (27.00 ± 10.00 vs 25.3 ± 5.9 vs 20.5 ± 5.6, p = 0.001). A positive correlation was found between PT-T1 and metabolic disfunction of right middle gyrus (MFG) in MCI and AD. In AD group, a positive correlation between PT-T1 and insula and superior temporal gyrus (STG) metabolism was detected. A negative correlation was found between PD-T1 and superior parietal lobule metabolism in MCI, and between PD-T1 and STG metabolism in AD. Impairment of cognitive empathy starts at MCI stage. Increase of PD starts from preclinical phases and seems to be to be dissociated from cognitive decline. Loss of PT is related to a progressive involvement starting from right MFG in prodromal stage, extending to insula and STG in dementia. Heightened emotional contagion is probably related to derangement of mirror neurons systems in parietal regions in prodromal stages, and to impairment of temporal emotion inhibition system in advanced phases. Further studies are needed to clarify if alterations in emotional contagion might be a predictive feature of a cognitive decline driven by AD.

Associations of emotion recognition, loneliness, and social functioning in euthymic patients with bipolar disorder

Emotion recognition deficit is related to impaired community functioning. Loneliness is also associated with impaired social performance. However, the way in which emotion recognition and loneliness may contribute to social functioning remains unclear in euthymic patients with bipolar disorder. We aimed to examine emotion recognition ability in Han Chinese euBD patients relative to healthy controls (HCs) and to investigate the associations between emotion recognition, loneliness, and social functioning. Thirty-nine HCs and 46 euthymic BD patients completed an emotion recognition task and nonsocial cognitive measures related to executive function and attention. The UCLA loneliness scale and Social Performance Scale were administered to evaluate psychological loneliness and social functioning, respectively. We observed lower emotion recognition accuracy, higher loneliness, and poorer social functioning in the BD patients after adjustment for demographic data. Loneliness was negatively associated with global social functioning in both the BD and HC groups. Higher loneliness and lower emotion recognition accuracy were associated with poorer social functioning in euthymic BD in different subdomains. Our study confirmed a subtle impairment of emotion recognition ability in euthymic BD. Loneliness impacts globally on social functioning, while emotion recognition ability may affect specific subdomains of social functioning in euthymic BD. Alleviation of loneliness and enhancement of social cognition might improve social functioning in BD patients.

Mobile facial affect recognition and real-time social experiences in serious mental illness

BackgroundEmotion recognition deficits are linked with social dysfunction in psychosis, as is inaccurate self-assessment of emotion recognition abilities. However, little is known about the link between ER and real-time social appraisals and behavior. MethodsIn 136 people with psychotic disorders or affective disorder with psychosis we administered a novel ecological momentary cognitive test of emotion recognition which both assesses emotion recognition ability and self-assessed performance in conjunction with ecological momentary assessment of social appraisals, motivation, and time spent alone. Hybrid mixed effects models evaluated emotion recognition's associations with social experiences. ResultsBetter recognition ability was associated with greater pleasure and more positive appraisals of others during interactions, whereas accuracy of self-assessment of emotion recognition ability was associated with more positive appraisals of interactions and social motivation. Overestimation of emotion recognition was linked with concurrent higher social motivation yet greater desire to avoid others. Time alone was unrelated to emotion recognition ability or self-assessment of ability. DiscussionMobile emotion recognition performance was associated with appraisals of recent interactions but not behavior. Self-assessment of social cognitive performance was associated with more positive appraisals and social motivation, and may be a novel target for interventions aimed at social dysfunction.

Differences Between Posttraumatic Growth and Resiliency: Their Distinctive Relationships With Empathy and Emotion Recognition Ability.

Posttraumatic growth (PTG) and resiliency have been observed among people who experienced life crises. Given that the direct relationships between PTG and resiliency have been equivocal, it is important to know how they are different in conjunction with cognitive ability. The purpose of this study is to examine how perceived PTG and resiliency would be, respectively, associated with empathy and emotion recognition ability. A total of 420 college students participated in an online survey requiring them to identify emotions based on photographs of facial expressions, report their traumatic experiences, and respond to the PTG Inventory, Brief Resilience Scale, and Questionnaire of Emotional Empathy. The results suggest that perceived PTG was not associated with empathy but significantly predicted increased emotion recognition, whereas resiliency showed a negative relationship with empathy but no significant relationship with emotion recognition. These findings demonstrate that self-perceived PTG may be associated with cognitive ability, which could be due to one’s growth within relationships and social interactions. Even though growing after trauma may promote resilient characteristics, the current results indicate that PTG and resiliency may foster different outcomes. Since empathy and emotion recognition are affected by other contextual factors, future studies should assess how empathy and the type of errors in emotion recognition may be associated with situational factors that are beyond personal factors such as post-traumatic life experiences or personality.

Endogenous oxytocin levels are associated with facial emotion recognition accuracy but not gaze behavior in individuals with schizophrenia.

Difficulties in social cognition are common in individuals with schizophrenia (SZ) and are not ameliorated by antipsychotic treatment. Intranasal oxytocin (OT) administration has been explored as a potential intervention to improve social cognition; however, results are inconsistent, suggesting potential individual difference variables that may influence treatment response. Less is known about the relationship between endogenous OT and social cognition in SZ, knowledge of which may improve the development of OT-focused therapies. We examined plasma OT in relationship to facial emotion recognition and visual attention to salient facial features in SZ and controls. Forty-two individuals with SZ and 23 healthy controls viewed photographs of facial expressions of varying emotional intensity and identified the emotional expression displayed. Participants' gaze behavior during the task was recorded via eye tracking. Plasma oxytocin concentrations were determined by radioimmunoassay. SZ were less accurate than controls at identifying high-intensity fearful facial expressions and low-intensity sad expressions. Lower overall and high-intensity facial emotion recognition accuracy was associated with lower plasma OT levels in SZ but not controls. OT was not associated with visual attention to salient facial features; however, SZ had reduced visual attention to the nose region compared to controls. Individual differences in endogenous OT predict facial emotion recognition ability in SZ but are not associated with visual attention to salient facial features. Increased understanding of the association between endogenous OT and social cognitive abilities in SZ may help improve the design and interpretation of OT-focused clinical trials in SZ.

An exploration of the impact of contextual information on the emotion recognition ability of autistic adults.

Studies of non‐autistic individuals and people with an intellectual disability show that contextual information impacts positively on emotion recognition ability, however, this area is not well researched with autistic adults. We investigated this using a static emotion recognition task. Participants completed an emotion recognition task in person or online. In total, 46 autistic participants and 379 non‐autistic participants completed the task. A linear mixed model showed that autistic adults had significantly lower accuracy when identifying emotions across all contexts, compared to control participants, even when contextual information was present. No significant effect of context was found in either group, nor was gender shown to be an influential variable. A supplementary analysis showed that higher scores on the Autism‐Spectrum Quotient led to lower scores on the emotion recognition task; no effect of context was found here either. This research adds to the limited work investigating the influence of contextual factors in emotion recognition in autistic adults. Overall, it shows that context may not aid emotion recognition in this group in the same way as it does for non‐autistic individuals.

The Development of a Multi-Modality Emotion Recognition Test Presented via a Mobile Application.

Emotion recognition ability is the basis of interpersonal communication and detection of brain alterations. Existing tools for assessing emotion recognition ability are mostly single modality, paper-and-pencil test format, and using only Western stimuli. However, various modalities and cultural factors greatly influence emotion recognition ability. We aimed to develop a multi-modality emotion recognition mobile application (MMER app). A total of 169 healthy adults were recruited as participants. The MMER app’s materials were extracted from a published database, and tablets were used as the interface. The Rasch, factor analysis, and related psychometric analyses were performed. The Cronbach alpha was 0.94, and the test–retest reliability was 0.85. Factor analyses identified three factors. In addition, an adjusted score formula was provided for clinical use. The MMER app has good psychometric properties, and its further possible applications and investigations are discussed.

Hypomimia May Influence the Facial Emotion Recognition Ability in Patients with Parkinson's Disease.

Hypomimia is a clinical feature of Parkinson's disease (PD). Based on the embodied simulation theory, the impairment of facial mimicry may worsen facial emotion recognition; however, the empirical results are inconclusive. We aimed to explore the worsening of emotion recognition by hypomimia. We further explored the relationship between the hypomimia, emotion recognition, and social functioning. A total of 114 participants were recruited. The patients with PD and normal controls (NCs) were matched for demographic characteristics. All the participants completed the Mini-Mental State Examination and the Chinese Multi-modalities Emotion Recognition Test. In addition to the above tests, the patients were assessed with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale and Parkinson's Disease Social Functioning Scale (PDSFS). Patients with PD with hypomimia had worse recognition of disgust than NCs (p = 0.018). The severity of hypomimia was predictive of the recognition of disgust (β= -0.275, p = 0.028). Facial emotion recognition was predictive of the PDSFS score of PD patients (β= 0.433, p = 0.001). We also found that recognizing disgust could mediate the relationship between hypomimia and the PDSFS score (β= 0.264, p = 0.045). Patients with hypomimia had the worst disgust facial recognition. Hypomimia may affect the social function of PD patients, which is related to recognizing the expression of disgust. Emotion recognition training may improve the social function of patients with PD.

Effects of mild-to-moderate sensorineural hearing loss and signal amplification on vocal emotion recognition in middle-aged–older individuals

Previous research has shown deficits in vocal emotion recognition in sub-populations of individuals with hearing loss, making this a high priority research topic. However, previous research has only examined vocal emotion recognition using verbal material, in which emotions are expressed through emotional prosody. There is evidence that older individuals with hearing loss suffer from deficits in general prosody recognition, not specific to emotional prosody. No study has examined the recognition of non-verbal vocalization, which constitutes another important source for the vocal communication of emotions. It might be the case that individuals with hearing loss have specific difficulties in recognizing emotions expressed through prosody in speech, but not non-verbal vocalizations. We aim to examine whether vocal emotion recognition difficulties in middle- aged-to older individuals with sensorineural mild-moderate hearing loss are better explained by deficits in vocal emotion recognition specifically, or deficits in prosody recognition generally by including both sentences and non-verbal expressions. Furthermore a, some of the studies which have concluded that individuals with mild-moderate hearing loss have deficits in vocal emotion recognition ability have also found that the use of hearing aids does not improve recognition accuracy in this group. We aim to examine the effects of linear amplification and audibility on the recognition of different emotions expressed both verbally and non-verbally. Besides examining accuracy for different emotions we will also look at patterns of confusion (which specific emotions are mistaken for other specific emotion and at which rates) during both amplified and non-amplified listening, and we will analyze all material acoustically and relate the acoustic content to performance. Together these analyses will provide clues to effects of amplification on the perception of different emotions. For these purposes, a total of 70 middle-aged-older individuals, half with mild-moderate hearing loss and half with normal hearing will perform a computerized forced-choice vocal emotion recognition task with and without amplification.

Acting on Leader's Emotions: How and When Emotion Recognition Ability Motivates Voice?

PurposeEmployee voice has been considered as an important means to understand the cutting-edge information, gain social status and performance advantage for leaders, employees and the organization, respectively. However, our knowledge about how and when employees’ emotions influence voice remains limited.Design/Methodology/ApproachIn order to better illustrate the role of emotion on voice, based on emotion as social information theory and similarity attraction theory, we proposed a research model through which emotion recognition ability affects voice via perceived ambidextrous leadership. A sample of 182 comprised of full-time employees and their 43 immediate supervisors was collected through questionnaires in China, and analyzed via hierarchical regression method.FindingsWe found that subordinate’s emotional recognition ability has a significant positive effect on promotive and prohibitive voice, and that perceived ambidextrous leadership plays a significant mediating role between subordinate’s emotional recognition ability and promotive voice, while no mediating role is found between subordinate’s emotional recognition ability and prohibitive voice. In addition, in contrast to leader-subordinate gender dissimilarity, leader-subordinate gender similarity is more effective in strengthening the impact of emotion recognition ability on perceived ambidextrous leadership, and thus promotes employee voice.Originality/ValueThis research not only advances our understanding of employee voice, but also provides specific reference for management practices from the perspective of gender.

“What Is Hidden behind the Mask?” Facial Emotion Recognition at the Time of COVID-19 Pandemic in Cognitively Normal Multiple Sclerosis Patients

Social cognition deficits have been described in people with multiple sclerosis (PwMS), even in absence of a global cognitive impairment, affecting predominantly the ability to adequately process emotions from human faces. The COVID-19 pandemic has forced people to wear face masks that might interfere with facial emotion recognition. Therefore, in the present study, we aimed at investigating the ability of emotion recognition in PwMS from faces wearing masks. We enrolled a total of 42 cognitively normal relapsing–remitting PwMS and a matched group of 20 healthy controls (HCs). Participants underwent a facial emotion recognition task in which they had to recognize from faces wearing or not surgical masks which of the six basic emotions (happiness, anger, fear, sadness, surprise, disgust) was presented. Results showed that face masks negatively affected emotion recognition in all participants (p < 0.001); in particular, PwMS showed a global worse accuracy than HCs (p = 0.005), mainly driven by the “no masked” (p = 0.021) than the “masked” (p = 0.064) condition. Considering individual emotions, PwMS showed a selective impairment in the recognition of fear, compared with HCs, in both the conditions investigated (“masked”: p = 0.023; “no masked”: p = 0.016). Face masks affected negatively also response times (p < 0.001); in particular, PwMS were globally hastier than HCs (p = 0.024), especially in the “masked” condition (p = 0.013). Furthermore, a detailed characterization of the performance of PwMS and HCs in terms of accuracy and response speed was proposed. Results from the present study showed the effect of face masks on the ability to process facial emotions in PwMS, compared with HCs. Healthcare professionals working with PwMS at the time of the COVID-19 outbreak should take into consideration this effect in their clinical practice. Implications in the everyday life of PwMS are also discussed.

Effects of an intensive slow cortical potentials neurofeedback training in female and male adolescents with autism spectrum disorder : Are there sex differences?

BackgroundThis study aims to compare the effects of neurofeedback training on male and female adolescents with autism spectrum disorder (ASD). Furthermore, it examines sex differences regarding improvements in co-occurring psychopathological symptoms, cognitive flexibility and emotion recognition abilities. The study might provide first hints whether there is an influence of sex on treatment outcomes.MethodsSix female and six male adolescents with ASD were matched according to age, IQ and symptom severity. All participants received 24 sessions of electroencephalography-based neurofeedback training. Before and after the intervention, psychological data for measuring co-occurring psychopathological symptoms as well as behavioral data for measuring cognitive flexibility and emotion recognition abilities were recorded.ResultsCaregivers rated statistically significant higher psychopathological problems in female than in male adolescents with ASD at baseline. Apart from that, no statistically significant sex-related differences were revealed in this sample; however, male adolescents tended to report greater improvements of externalizing, internalizing and total symptoms, whereas females experienced smaller improvements of externalizing and total problems, but no improvements of internalizing problems. Regarding caregivers’ assessments, more improvement of total problems was reported for females. For males, only improvements of internalizing and total problems were described.ConclusionThis study reveals preliminary results that sex-related differences might play a role when evaluating treatment outcomes after neurofeedback training regarding comorbid psychopathological symptoms. Adolescents’ self-report and parental assessments, especially concerning psychopathological symptoms, should be combined and considered in future studies to help prevent sex bias in adolescents with ASD.

Sleep quality and emotion recognition in individuals with and without internalizing psychopathologies

Background and objectivesSeparate lines of research indicate sleep quality may impact recognition of facial expressions in anxious or depressed individuals. This study examined facial emotion recognition ability in the context of self-perceived sleep quality and anxiety and depression symptom levels in individuals with and without internalizing psychopathologies. MethodsSeventy anxious and/or depressed patients and 24 demographically matched healthy controls completed the Pittsburgh Sleep Quality Index (PSQI), standard measures of anxiety and depression, and an Emotion Recognition Task comprising negative and positive facial expressions. ResultsAnalyses of variance results revealed patients reported worse sleep quality than controls. Linear mixed-effects models indicated that all participants demonstrated better emotion recognition abilities in identifying positive versus negative emotions. For reaction time, but not accuracy, regression results revealed significant individual differences, with worse sleep quality predicting slower reaction times for positive faces, specifically for happiness. LimitationsThe use of a subjective measure of sleep quality and a specific behavioral paradigm for emotion recognition may impact the generalizability of the findings. ConclusionsAssociations between task performance and emotional valence of facial expression implies that poor sleep quality, beyond internalizing symptom severity, may disrupt emotion processing.

Facial Emotion Recognition Ability in Patients with Fibromyalgia.

Observing others facial expressions to pain effects person's own facial expression empathetically. Fibromyalgia (FM) patients can be more sensitive to negative moods. We hypothesize that fibromyalgia patient recognize negative emotions more than positive emotions. . Thirty one patients who met the classification criteria of FM according to American College of Rheumatology 1990 were included to the study. Age and sex matched 24 healthy woman included as a control group. All of the participants full filled the Fibromyalgia Impact Questionnaire (FIQ), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI). All of them evaluated with Facial Emotion Recognition Test. The mean age was not significantly different between fibromyalgia and healthy controls (46.04±10.78 vs 41.43±11.64, re-spectively and p=0.137). There were no significant differences among occupational status (p=0.347) and education (p=0.946) between groups. The mean scores according to Beck Depression Scale (16.56±9.81 vs 14.89±8.22) and Beck Anxiety Scale (21.32±13.94 vs 18.36±16.18) were significantly higher in patients with FM than healthy controls (p>0.05, for both). Patients with FM had significantly lesser rate of recognizing sad facial emotions (p=0.012). The patients with FM needed more time while recognizing happy (p=0.017), surprised (p= 0.043), neutral (p<0.001) and angry facial emotions (p=0.003). This study provides evidence of impairment in sad facial emotions and more response time for happy, angry, neutral and surprised facial emotions. These may cause poor interpersonal relationship and insuf-ficient social functioning and leading to chronicity of the disease.

Tryptophan-enriched diet or 5-hydroxytryptophan supplementation given in a randomized controlled trial impacts social cognition on a neural and behavioral level

Understanding of emotions and intentions are key processes in social cognition at which serotonin is an important neuromodulator. Its precursor is the essential amino acid tryptophan (TRP). Reduced TRP availability leads to weaker impulse control ability and higher aggression, while TRP supplementation promotes confidence. In a double-blind placebo-controlled fMRI study with 77 healthy adults, we investigated the influence of a 4 week TRP enriched diet and an acute 5-hydroxytryptophan (5-HTP) intake on two social-cognitive tasks, a moral evaluation and an emotion recognition task. With 5-HTP, immoral behavior without negative consequences was rated as more reprehensible. Additionally, during story reading, activation in insula and supramarginal gyrus was increased after TRP intake. No significant effects of TRP on emotion recognition were identified for the whole sample. Importantly, emotion recognition ability decreased with age which was for positive emotions compensated by TRP. Since the supramarginal gyrus is associated with empathy, pain and related information integration results could be interpreted as reflecting stricter evaluation of negative behavior due to better integration of information. Improved recognition of positive emotions with TRP in older participants supports the use of a TRP-rich diet to compensate for age related decline in social-cognitive processes.

EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations.

Emotion recognition based on electroencephalography (EEG) plays a pivotal role in the field of affective computing, and graph convolutional neural network (GCN) has been proved to be an effective method and made considerable progress. Since the adjacency matrix that can describe the electrode relationships is critical in GCN, it becomes necessary to explore effective electrode relationships for GCN. However, the setting of the adjacency matrix and the corresponding value is empirical and subjective in emotion recognition, and whether it matches the target task remains to be discussed. To solve the problem, we proposed a graph convolutional network with learnable electrode relations (LR-GCN), which learns the adjacency matrix automatically in a goal-driven manner, including using self-attention to forward update the Laplacian matrix and using gradient propagation to backward update the adjacency matrix. Compared with previous works that use simple electrode relationships or only the feature information, LR-GCN achieved higher emotion recognition ability by extracting more reasonable electrode relationships during the training progress. We conducted a subject-dependent experiment on the SEED database and achieved recognition accuracy of 94.72% on the DE feature and 85.24% on the PSD feature. After visualizing the optimized Laplacian matrix, we found that the brain connections related to vision, hearing, and emotion have been enhanced.