Recognition Of Neutral Faces Research Articles

The Development of Ambiguity Processing Is Explained by an Inverted U-Shaped Curve.

Understanding the developmental trajectories for recognizing facial expressions is important for a better understanding of development of psychiatric disorders. In this study, we examined the recognition of emotional and neutral facial expressions in 93 typically developing adolescents and adults. The Emotion Intensity Rating task required participants to rate the intensity of emotional expression in happy, neutral, and sad faces on a scale from 1 to 9. A score of '5' had to be assigned to neutral faces, scores between '6' (slightly happy) and '9' (very happy) to happy faces, and scores between '4' (slightly sad) and '1' (very sad) to sad faces. Mixed effects models were used to examine the effects of age and emotion on recognition accuracy, reaction time (RT), and emotional intensity. Participants tended to misjudge neutral faces as sad. Adolescents were less accurate than adults for neutral face recognition. There were significant quadratic effects of age on accuracy (negative quadratic effect) and RT (positive quadratic effect). The most accurate and fastest performance was observed in 25- to 35-year-old subjects. This trajectory may be associated with prefrontal cortex maturation, which provides top-down control over the heightened amygdala response to ambiguity that may be misinterpreted as emotional content.

Law Enforcement Officers' Ability to Recognize Emotions: The Role of Personality Traits and Basic Needs' Satisfaction.

Background: This study intended to explore the role of personality traits and basic psychological needs in law enforcement officers’ ability to recognize emotions: anger, joy, sadness, fear, surprise, disgust, and neutral. It was significant to analyze law enforcement officers’ emotion recognition and the contributing factors, as this field has been under-researched despite increased excessive force use by officers in many countries. Methods: This study applied the Big Five–2 (BFI-2), the Basic Psychological Needs Satisfaction and Frustration Scale (BPNSFS), and the Karolinska Directed Emotional Faces set of stimuli (KDEF). The data was gathered using an online questionnaire provided directly to law enforcement agencies. A total of 154 law enforcement officers participated in the study, 50.65% were females, and 49.35% were males. The mean age was 41.2 (age range = 22–61). In order to analyze the data, SEM and multiple linear regression methods were used. Results: This study analyzed variables of motion recognition, personality traits, and needs satisfaction and confirmed that law enforcement officers’ personality traits play a significant role in emotion recognition. Respondents’ agreeableness significantly predicted increased overall emotion recognition; conscientiousness predicted increased anger recognition; joy recognition was significantly predicted by extraversion, neuroticism, and agreeableness. This study also confirmed that law enforcement officers’ basic psychological needs satisfaction/frustration play a significant role in emotion recognition. Respondents’ relatedness satisfaction significantly predicted increased overall emotion recognition, fear recognition, joy recognition, and sadness recognition. Relatedness frustration significantly predicted decreased anger recognition, surprise recognition, and neutral face recognition. Furthermore, this study confirmed links between law enforcement officers’ personality traits, satisfaction/frustration of basic psychological needs, and emotion recognition, χ2 = 57.924; df = 41; p = 0.042; TLI = 0.929; CFI = 0.956; RMSEA = 0.042 [0.009–0.065]. Discussion: The findings suggested that agreeableness, conscientiousness, extraversion, and neuroticism play an essential role in satisfaction and frustration of relatedness needs, which, subsequently, link to emotion recognition. Due to the relatively small sample size, the issues of validity/reliability of some instruments, and other limitations, the results of this study should preferably be regarded with concern.

No Evidence for a Role of Oral Contraceptive-Use in Emotion Recognition But Higher Negativity Bias in Early Follicular Women.

Accuracy in facial emotion recognition has shown to vary with ovarian hormones, both in naturally cycling women, as well as in women taking oral contraceptives. It remains uncertain however, if specific – endogenous and exogenous – hormonal levels selectively impact recognition of certain basic emotions (or neutral faces) and if this relationship coincides with certain affective states. Therefore, we investigated 86 women under different hormonal conditions and compared their performance in an emotion recognition task as well as self-reported measures of affective states. Based on self-reported cycle days and ovulation testing, the participants have been split into groups of naturally cycling women during their early follicular phase (fNC, n = 30), naturally cycling women during their peri-ovulatory phase (oNC, n = 26), and women taking oral contraceptives (OC, n = 30). Participants were matched for age and did not differ in education or neuropsychological abilities. Self-reported anxiety and depressive affective state scores were similar across groups, but current affective state turned out to be significantly more negative in fNC women. Independent of negative affective state, fNC women showed a significantly higher negativity bias in recognizing neutral faces, resulting in a lower recognition accuracy of neutral faces compared to oNC and OC women. In the OC group only, negative affective state was associated with lower recognition accuracy and longer response times for neutral faces. Furthermore, there was a significant, positive association between disgust recognition accuracy and negative affective state in the fNC group. Low progesterone levels during the early follicular phase were linked to higher negative affective state, whereas in the peri-ovulatory phase they were linked to elevated positive affective state. Overall, previous findings regarding impaired emotion recognition during OC-use were not confirmed. Synthetic hormones did not show a correlation with emotion recognition performance and affective state. Considering the important role of emotion recognition in social communication, the elevated negativity bias in neutral face recognition found for fNC women may adversely impact social interactions in this hormonal phase.

Characterization of facial emotion recognition in bipolar disorder: Focus on emotion mislabelling and neutral expressions.

Increasing evidence suggests that facial emotion recognition is impaired in bipolar disorder (BD). However, patient-control differences are small owing to ceiling effects on the tasks used to assess them. The extant literature is also limited by a relative absence of attention towards identifying patterns of emotion misattribution or understanding whether neutral faces are mislabelled in the same way as ones displaying emotion. We addressed these limitations by comparing facial emotion recognition performance in BD patients and healthy controls on a novel and challenging task. Thirty-four outpatients with BD I and 32 demographically matched healthy controls completed a facial emotion recognition task requiring the labelling of neutral and emotive faces displayed at low emotional intensities. Results indicated that BD patients were significantly less accurate at labelling faces than healthy controls, particularly if they displayed fear or neutral expressions. There were no between-group differences in response times or patterns of emotion mislabelling, with both groups confusing sad and neutral faces, although BD patients also mislabelled sad faces as angry. Task performance did not significantly correlate with mood symptom severity in the BD group. These findings suggest that facial emotion recognition impairments in BD extend to neutral face recognition. Emotion misattribution occurs in a similar, albeit exaggerated manner in patients with BD compared to healthy controls. Future behavioural and neuroimaging research should reconsider the use of neutral faces as baseline stimuli in their task designs.

Virtual Reality Experiments on Emotional Face Recognition Find No Evidence of Mood-Congruent Effects.

Mood-congruent effects have been demonstrated many times, but few studies have managed to replicate the effect with natural moods. Additionally, the ecological validity of mood induction and real-time observation deficiency remain unresolved. Using a newly developed, virtual-reality-based eye-tracking technique, the present study conducted real-time observations of mood effects on emotional face recognition with simulated “real-life” pleasant and grisly scenes. In experiment 1, participants performed an emotional face recognition task in both positive and negative virtual reality scenes. The recognition tests and gaze tracking results failed to support mood-congruent effects but did show a mood effect independent of a strong emotional face effect. In experiment 2, participants performed a neutral face recognition task in pleasant and grisly scenes that were matched for arousal levels, and the mood effect disappeared. The results also revealed a robust negativity bias in emotional face recognition, which was found to accompany a mood repair effect.

Contextual effects of angry vocal expressions on the encoding and recognition of emotional faces: An event-related potential (ERP) study

It has been shown that stimulus memory (e.g., encoding and recognition) is influenced by emotion. In terms of face memory, event-related potential (ERP) studies have shown that the encoding of emotional faces is influenced by the emotion of concomitant context, when contextual stimuli were input from a visual modality. Behavioral studies also investigated the effect of contextual emotion on subsequent recognition of neutral faces. However, there might be no studies ever investigating the context effect on face encoding and recognition, when contextual stimuli were input from other sensory modalities (e.g., an auditory modality). Additionally, it may be unknown about the neural mechanisms underlying context effects on recognition of emotional faces. Therefore, the present study aimed to use vocal expressions as contexts to investigate whether contextual emotion influences ERP responses during face encoding and recognition. To this end, participants in the present study were asked to memorize angry and neutral faces. The faces were presented concomitant with either angry or neutral vocal expressions. Subsequently, participants were asked to perform an old/new recognition task, in which only faces were presented. In the encoding phase, ERP results showed that compared to neutral vocal expression, angry vocal expressions led to smaller P1 and N170 responses to both angry and neutral faces. For angry faces, however, late positive potential (LPP) responses were increased in the angry voice condition. In the later recognition phase, N170 responses were larger for neutral-encoded faces that had been presented with angry compared to neutral vocal expressions. Preceding angry vocal expression increased FN400 and LPP responses to both neutral-encoded and angry-encoded faces, when the faces showed the encoded expression. Therefore, the present study indicates that contextual emotion with regard to vocal expression influences neural responses during face encoding and subsequent recognition.

Emotional Biases and Recurrence in Major Depressive Disorder. Results of 2.5 Years Follow-Up of Drug-Free Cohort Vulnerable for Recurrence.

An interesting factor explaining recurrence risk in Major Depressive Disorder (MDD) may be neuropsychological functioning, i.e., processing of emotional stimuli/information. Negatively biased processing of emotional stimuli/information has been found in both acute and (inconclusively) remitted states of MDD, and may be causally related to recurrence of depression. We aimed to investigate self-referent, memory and interpretation biases in recurrently depressed patients in remission and relate these biases to recurrence. We included 69 remitted recurrent MDD-patients (rrMDD-patients), 35–65 years, with ≥2 episodes, voluntarily free of antidepressant maintenance therapy for at least 4 weeks. We tested self-referent biases with an emotional categorization task, bias in emotional memory by free recall of the emotion categorization task 15 min after completing it, and interpretation bias with a facial expression recognition task. We compared these participants with 43 never-depressed controls matched for age, sex and intelligence. We followed the rrMDD-patients for 2.5 years and assessed recurrent depressive episodes by structured interview. The rrMDD-patients showed biases toward emotionally negative stimuli, faster responses to negative self-relevant characteristics in the emotional categorization, better recognition of sad faces, worse recognition of neutral faces with more misclassifications as angry or disgusting faces and less misclassifications as neutral faces (0.001 < p < 0.05). Of these, the number of misclassifications as angry and the overall performance in the emotional memory task were significantly associated with the time to recurrence (p ≤ 0.04), independent of residual symptoms and number of previous episodes. In a support vector machine data-driven model, prediction of recurrence-status could best be achieved (relative to observed recurrence-rate) with demographic and childhood adversity parameters (accuracy 78.1%; 1-sided p = 0.002); neuropsychological tests could not improve this prediction. Our data suggests a persisting (mood-incongruent) emotional bias when patients with recurrent depression are in remission. Moreover, these persisting biases might be mechanistically important for recurrence and prevention thereof.

Goal-relevant situations facilitate memory of neutral faces.

Emotional situations are typically better remembered than neutral situations, but the psychological conditions and brain mechanisms underlying this effect remain debated. Stimulus valence and affective arousal have been suggested to explain the major role of emotional stimuli in memory facilitation. However, neither valence nor arousal are sufficient affective dimensions to explain the effect of memory facilitation. Several studies showed that negative and positive details are better remembered than neutral details. However, other studies showed that neutral information encoded and coupled with arousal did not result in a memory advantage compared with neutral information not coupled with arousal. Therefore, we suggest that the fundamental affective dimension responsible for memory facilitation is goal relevance. To test this hypothesis at behavioral and neural levels, we conducted a functional magnetic resonance imaging study and used neutral faces embedded in goal-relevant or goal-irrelevant daily life situations. At the behavioral level, we found that neutral faces encountered in goal-relevant situations were better remembered than those encountered in goal-irrelevant situations. To explain this effect, we studied neural activations involved in goal-relevant processing at encoding and in subsequent neutral face recognition. At encoding, activation of emotional brain regions (anterior cingulate, ventral striatum, ventral tegmental area, and substantia nigra) was greater for processing of goal-relevant situations than for processing of goal-irrelevant situations. At the recognition phase, despite the presentation of neutral faces, brain activation involved in social processing (superior temporal sulcus) to successfully remember identities was greater for previously encountered faces in goal-relevant than in goal-irrelevant situations.

The effect of anticipation of an ongoing connection with others on brain activity of neutral face recognition

In humans, information about the face is very important for first impression formation and establishing interpersonal relationships. We investigated the effect of anticipation of an ongoing connection with others on brain activity and neutral face recognition using functional magnetic resonance imaging (fMRI). Sixteen young, right-handed females participated in this study (mean age ± standard deviation: 21.7 ± 3.2 years, range 20–34 years). They were healthy undergraduate or graduate students with no history of significant medical, psychiatric, or neurological disorders. All gave written informed consent to participate, and Tokyo Metropolitan University Research Ethics Committee (No. 17048) approved the study. During fMRI scanning, subjects were shown photographs of people with neutral facial expressions (72 neutral photographs from the face database that made by the university of FEI). Subjects were asked to consider each photograph under the following conditions: Condition 1, “I will meet the person in this photo only once.”; Condition 2, “I will meet the person in this photo multiple times.” Each photo was presented for 8 s. The total fMRI duration was 408 s. All functional imaging data were preprocessed and analyzed using SPM8 implemented in MATLAB (significance set at an uncorrected P < 0.001). We estimated brain activity differences between the 2 conditions. The left caudate nucleus was significantly activated in Condition 2 compared with Condition 1. The right substantia nigra had a significantly different blood-oxygen-level dependent response in Condition 1 compared with Condition 2. The anticipation of an ongoing connection could affect the first impression formation process in the human brain.

Sex differences in facial emotion recognition across varying expression intensity levels from videos.

There has been much research on sex differences in the ability to recognise facial expressions of emotions, with results generally showing a female advantage in reading emotional expressions from the face. However, most of the research to date has used static images and/or ‘extreme’ examples of facial expressions. Therefore, little is known about how expression intensity and dynamic stimuli might affect the commonly reported female advantage in facial emotion recognition. The current study investigated sex differences in accuracy of response (Hu; unbiased hit rates) and response latencies for emotion recognition using short video stimuli (1sec) of 10 different facial emotion expressions (anger, disgust, fear, sadness, surprise, happiness, contempt, pride, embarrassment, neutral) across three variations in the intensity of the emotional expression (low, intermediate, high) in an adolescent and adult sample (N = 111; 51 male, 60 female) aged between 16 and 45 (M = 22.2, SD = 5.7). Overall, females showed more accurate facial emotion recognition compared to males and were faster in correctly recognising facial emotions. The female advantage in reading expressions from the faces of others was unaffected by expression intensity levels and emotion categories used in the study. The effects were specific to recognition of emotions, as males and females did not differ in the recognition of neutral faces. Together, the results showed a robust sex difference favouring females in facial emotion recognition using video stimuli of a wide range of emotions and expression intensity variations.

Characterization and prediction of the recognition of emotional faces and emotional bursts in temporal lobe epilepsy

Introduction: The present study sought to characterize and predict the recognition of emotional stimuli (presented in a visual or auditory modality) by patients with temporal lobe epilepsy (TLE). Method: Fifty TLE patients and 50 matched controls performed two emotion recognition tasks (emotional faces and emotional bursts). Neutral stimuli were also presented, and emotional biases were monitored by analyzing errors. Demographic, cognitive, psychobehavioral and (in TLE patients only) clinical and quality of life data were also recorded. Results: Compared with controls, TLE patients were impaired in the recognition of fear expressions in both visual and auditory modality tasks. However, impairments in the two channels were not always concomitant on the individual level. In the visual modality, recognition of disgust and neutral expressions was significantly worse in TLE patients. In the auditory modality, nonsignificant trends toward poor recognition of disgust and neutral expressions were observed. Negative biases were noted in TLE patients; expressions of fear (faces and bursts) were more frequently misinterpreted as disgust, and neutral facial expressions were more frequently misinterpreted as sadness. Impairments in the recognition of facial fear were less pronounced in left TLE patients who (according to structural magnetic resonance imaging, MRI) did not have any brain lesions. In TLE patients, low levels of social support (a quality of life parameter) were associated with worse recognition of facial disgust, and higher levels of apathy were associated with better recognition of neutral faces. Conclusions: TLE patients are impaired in some aspects of emotion recognition with both visual and auditory stimuli, although the differential impact of TLE on these modalities requires further research. These emotional impairments are related to quality of life and psychobehavioral parameters.

REM sleep and emotional face memory in typically-developing children and children with autism

Relationship between REM sleep and memory was assessed in 13 neurotypical and 13 children with Autistic Spectrum Disorder (ASD). A neutral/positive/negative face recognition task was administered the evening before (learning and immediate recognition) and the morning after (delayed recognition) sleep. The number of rapid eye movements (REMs), beta and theta EEG activity over the visual areas were measured during REM sleep. Compared to neurotypical children, children with ASD showed more theta activity and longer reaction time (RT) for correct responses in delayed recognition of neutral faces. Both groups showed a positive correlation between sleep and performance but different patterns emerged: in neurotypical children, accuracy for recalling neutral faces and overall RT improvement overnight was correlated with EEG activity and REMs; in children with ASD, overnight RT improvement for positive and negative faces correlated with theta and beta activity, respectively. These results suggest that neurotypical and children with ASD use different sleep-related brain networks to process faces.

Neutral face classification using personalized appearance models for fast and robust emotion detection.

Facial expression recognition is one of the open problems in computer vision. Robust neutral face recognition in real time is a major challenge for various supervised learning-based facial expression recognition methods. This is due to the fact that supervised methods cannot accommodate all appearance variability across the faces with respect to race, pose, lighting, facial biases, and so on, in the limited amount of training data. Moreover, processing each and every frame to classify emotions is not required, as user stays neutral for majority of the time in usual applications like video chat or photo album/web browsing. Detecting neutral state at an early stage, thereby bypassing those frames from emotion classification would save the computational power. In this paper, we propose a light-weight neutral versus emotion classification engine, which acts as a pre-processer to the traditional supervised emotion classification approaches. It dynamically learns neutral appearance at key emotion (KE) points using a statistical texture model, constructed by a set of reference neutral frames for each user. The proposed method is made robust to various types of user head motions by accounting for affine distortions based on a statistical texture model. Robustness to dynamic shift of KE points is achieved by evaluating the similarities on a subset of neighborhood patches around each KE point using the prior information regarding the directionality of specific facial action units acting on the respective KE point. The proposed method, as a result, improves emotion recognition (ER) accuracy and simultaneously reduces computational complexity of the ER system, as validated on multiple databases.

DEFICIT OF NEUTRAL FACIAL EXPRESSION RECOGNITION BETWEEN CHILDREN WITH HIGH-FUNCTIONING AUTISM AND TYPICAL PEERS AGED 7-11

Background and Aim: Highly likely due to deficiency in facial emotion recogniti on as well as , Individuals suffering from Autestic spectrum disorder are impaired in interpersonal and social skills. The objective of this study was to compare this ability between children with High-Functioning Autism with Typical peers. Comparing recognition of neutral state was used for the first time. Materials and Methods : In this study 27 High-Functioning Autism and 27 Typical boys between 7 and 11 years of age participated who were matched based on age, and performance,verbal and overall IQ.Using computerised researcher-made test in MATLAB software,The reasercher made a Comparison between neutral face and facial emotions, including fear and surprise.The results were analysed using two methods: repeated measures (ANOVA) and independent t-test; and SPSS software version 19. Results :The results indicated that the two groups in terms of facial emotion recognition have significant difference (F (1,50) = 7.288, p = 0.009).Difference in the recognition of neutral face with female gender was observed (t = 2.574, p = 0.013). Reaction time differences between the two groups was not significant (F (1,50) = 4.002, P = .051). Differences in reaction time in both groups and in three facial expressions was observed in male targets respectively as follows: (t = -2.305, p = .025), (t = -2.160, p = .035), (t = -2.654, p = 0.011). Conclusion : In recognition of neutral faces with female gender targets , people with High-Functioning Autism performed weaker than typical peers and their reaction time were increased in males gender targets. Key words : high-functioning Autism, facial expression recognition, neutral face

The Mood Congruency Effect on Recognition of Neutral Faces

The Mood Congruency Effect on Recognition of Neutral Faces

The functional correlates of face perception and recognition of emotional facial expressions as evidenced by fMRI

Recognition and processing of emotional facial expression are crucial for social behavior and employ higher-order cognitive and visual working processes. In neuropsychiatric disorders, impaired emotion recognition most frequently concerned three specific emotions, i.e., anger, fear, and disgust. As incorrect processing of (neutral) facial stimuli per se might also underlie deficits in the recognition of emotional facial expressions, we aimed to assess all these aspects in one experiment. We therefore report here a functional magnetic resonance imaging (fMRI) paradigm for parallel assessment of the neural correlates of both the recognition of neutral faces and the three clinically most relevant emotions for future use in patients with neuropsychiatric disorders. FMRI analyses were expanded through comparisons of the emotional conditions with each other. The differential insights resulting from these two analyses strategies are compared and discussed. 30 healthy participants (21 F/9 M; age 36.3±14.3, 17–66years) underwent fMRI and behavioral testing for non-emotional and emotional face recognition. Recognition of neutral faces elicited activation in the fusiform gyri. Processing angry faces led to activation in left middle and superior frontal gyri and the anterior cingulate cortex. There was considerable heterogeneity regarding the fear versus neutral contrast, resulting in null effects for this contrast. Upon recognition of disgust, activation was noted in bilateral occipital, in the fronto-orbital cortex and in the insula. Analyzing contrasts between emotional conditions showed similar results (to those of contrasting with reference conditions) for separated emotional network patterns. We demonstrate here that our paradigm reproduces single aspects of separate previous studies across a cohort of healthy subjects, irrespective of age. Our approach might prove useful in future studies of patients with neurologic disorders with potential effect on emotion recognition.

Adolescents' Ability to Read Different Emotional Faces Relates to their History of Maltreatment and Type of Psychopathology

Emotional processing styles appear to characterize various forms of psychopathology and environmental adversity in children. For example, autistic, anxious, high- and low-emotion conduct problem children, and children who have been maltreated, all appear to show specific deficits and strengths in recognizing the facial expressions of emotions. Until now, the relationships between emotion recognition, antisocial behaviour, emotional problems, callous-unemotional (CU) traits and early maltreatment have never been assessed simultaneously in one study, and the specific associations of emotion recognition to maltreatment and child characteristics are therefore unknown. We examined facial-emotion processing in a sample of 23 adolescents selected for high-risk status on the variables of interest. As expected, maltreatment and child characteristics showed unique associations. CU traits were uniquely related to impairments in fear recognition. Antisocial behaviour was uniquely associated with better fear recognition, but impaired anger recognition. Emotional problems were associated with better recognition of anger and sadness, but lower recognition of neutral faces. Maltreatment was predictive of superior recognition of fear and sadness. The findings are considered in terms of social information-processing theories of psychopathology. Implications for clinical interventions are discussed.

Aberrant Neural Function During Emotion Attribution in Female Subjects With Fragile X Syndrome

ObjectiveFragile X (FraX) syndrome is caused by mutations of the FraX mental retardation-1 gene—a gene responsible for producing FraX mental retardation protein. The neurocognitive phenotype associated with FraX in female subjects includes increased risk for emotional disorders including social anxiety, depression, and attention deficit. Here, the authors investigated the neurobiological systems underlying emotion attribution in female subjects with FraX syndrome. MethodWhile undergoing functional magnetic resonance imaging, 10 high-functioning female subjects with FraX syndrome and 10 typically developing (TD) female subjects were presented with photographs of happy, sad, and neutral faces and instructed to determine the facial emotion. ResultsNo significant group differences were found for the recognition of happy faces, although the FraX group showed a trend toward a significant difference for the recognition of sad faces and significantly poorer recognition of neutral faces. Controlling for between-group differences in IQ and performance accuracy, the TD group had greater activation than the FraX group in the anterior cingulate cortex (ACC) for neutral faces compared with scrambled faces and the caudate for sad faces compared with scrambled faces (but not for sad faces compared with neutral faces). In the FraX group, FraX mental retardation protein levels positively correlated with activation in the dorsal ACC for neutral, happy, and sad faces when independently compared with scrambled faces. Significantly greater negative correlation between IQ and insula activation for neutral faces relative to scrambled faces was observed in the FraX group compared with the TD group. Significantly greater positive correlation between IQ and ACC activation for neutral faces relative to scrambled faces was observed in the TD group compared with the FraX group. ConclusionsAlthough emotion recognition is generally spared in FraX syndrome, the emotion circuit (i.e., ACC, caudate, insula) that modulates emotional responses to facial stimuli may be disrupted. J. Am. Acad. Child Adolesc. Psychiatry, 2008;47(12):1443-1454.

Basic emotions and psychological distress: association between recognition of facial expressions and Symptom Checklist-90 subscales

Objective Cross-cultural studies have demonstrated universal similarity in the recognition and expression of basic emotions in facial expressions. The so-called mood congruency effect, observed primarily in clinical populations, implies that subjects with depressed mood tend to judge positive emotions as neutral and neutral faces as negative. The objective was to investigate whether a mood congruency effect can be detected in case of mild impairments among healthy subjects. First, it was hypothesized that subjects with mild psychiatric symptom distress have poorer performance in affective facial recognition in general. Second, it was also hypothesized that these subjects have poorer functioning in neutral face recognition and that they are prone to attribute negative emotions, for example, sadness and fear to neutral faces. Third, it was also assumed that people with mild psychiatric symptom distress have poor performance in recognizing positive emotions. Methods Pictures representing the basic emotions were used to examine the recognition of facial emotions; the Symptom Checklist-90 was obtained to quantify overall psychological distress and the severity of psychiatric symptoms on 9 primary symptom dimensions, including somatization, obsessive-compulsive, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, and psychoticism. One hundred seventeen healthy volunteers were recruited for the purpose of the study. Results Consistent with the first hypothesis, results indicated a significant negative association between the overall recognition rate of facial expressions and the level of psychiatric symptoms in a healthy population. Consistent with the second hypothesis, the level of psychiatric symptoms was related inversely with the neutral facial expression recognition and directly with the negative bias in neutral facial expressions. However, our data did not support the assumption that people with mild psychiatric symptom distress would have a poorer performance in recognizing positive emotions. Conclusions These findings support the notion that difficulties in emotion processing in general and in neutral face recognition, including a negative bias in particular, are strongly related to psychological distress and the severity of psychiatric symptoms in a healthy population.

Fearful Faces in Schizophrenia

Although schizophrenia has often been associated with deficits in facial affect recognition, it is debated whether the recognition of specific emotions is affected and if these facial affect-processing deficits are related to symptomatology or other patient characteristics. The purpose of the present study was to explore whether particular patient characteristics are associated with the recognition of specific facial expressions in patients with schizophrenia. Sixty-four patients with a DSM-IV diagnosis of schizophrenia were assessed with a computerized test of degraded facial affect recognition. Linear regression analysis showed that, in particular, negative symptoms and male sex were associated with worse recognition of fearful faces. Furthermore, diagnosis of nonparanoid schizophrenia and later age of onset were associated with worse recognition of neutral faces. Findings are explained in the light of a neuroanatomical dysfunction accounting for both negative symptoms, such as reduced emotional expression and social-emotional dysfunction, for which men seem more vulnerable than women.