Dynamic fearful gaze does not enhance attention orienting in individuals with Asperger’s disorder

Although impaired joint attention is one of the core clinical features of pervasive developmental disorder including autistic disorder and Asperger’s disorder, experimental studies failed to report its impairment. This discrepancy might be the result of differences between real-life and experimental situations. The present study examined joint attention in 11 individuals with Asperger’s disorder and 11 age-matched controls under naturalistic conditions using a target detection paradigm with dynamic emotional gaze cues. Although both groups showed gaze-triggered attention orienting as assessed by the differences in reaction time for invalid minus valid cues, enhancement of joint attention by fearful (vs. neutral) gaze was observed in the control, but not in the Asperger group. This suggests that the integration of emotion and gaze direction that elicits strong joint attention is impaired in individuals with Asperger’s disorder.     

Empathy and emotion recognition in semantic dementia: A case report

Recent studies have demonstrated that patients suffering from frontotemporal lobar degeneration (FTLD) show impairments in empathy and emotional processing. In this study, we examined two different aspects of these abilities in a patient with semantic dementia (SD), a variant of FTLD. The first aspect was the assessment of the cognitive and emotional components of empathy through the Interpersonal Reactivity Index. The second was the naming and comprehension of emotions using the Ekman 60 Faces Test. The patient’s emotion word knowledge was spared and the emotional aspects of empathy preserved. Conversely, the patient performed below average for all of the basic emotions when an emotion word had to be matched with a picture. When picture-to-picture matching was tested, however, the patient was able to recognize happiness. This case is a good example of a dissociation of covert and overt emotional functioning in SD. Results are discussed in terms of the impaired empathic behavior and emotional functioning in FTLD.     

The lived experience of alopecia areata: A qualitative study

This study explored experiences of individuals living with alopecia areata (AA) and alopecia universalis (AU) and investigated their accounts of adjusting to, and coping with, such conditions. Whilst previous research has primarily focused on the adverse psychosocial impact of alopecia, this investigation used Interpretive Phenomenological Analysis to provide a more holistic perspective. Biographical interviews were undertaken with 12 participants (7 women; 5 men) diagnosed with alopecia for periods ranging between 2 and 49 years. Results revealed that strategies used by participants evolved over time and that there were clear gender differences. In the early stages, participants did not want to contemplate that their hair loss would be lasting and managed the condition via concealment. Later coping strategies reflected an embodied acceptance with participants managing the effects of AA/AU and becoming more optimistic about living with the condition. Limitations of the study are discussed as well as implications for patient care.     

Exploitation via labour power in Marx

Marx's account of capitalist exploitation is undermined by inter-related confusions surrounding the notion of labour power. These confusions relate to [i] what labour power is, [ii] what happens to labour power in the labour market, and [iii] what the epistemic status of labour power is (the issue of appearance and reality). The central theses of the paper are [a] that property ownership is the wrong model for understanding the exploitation of labour, and [b] that the concept of exploitation is linked more fruitfully to a conception of distributive injustice than to Marx's theory of surplus value.     

Amygdala activation during masked presentation of emotional faces predicts conscious detection of threat-related faces

It has been argued that critical functions of the human amygdala are to modulate the moment-to-moment vigilance level and to enhance the processing and the consolidation of memories of emotionally arousing material. In this functional magnetic resonance study, pictures of human faces bearing fearful, angry, and happy expressions were presented to nine healthy volunteers using a backward masking procedure based on neutral facial expression. Activation of the left and right amygdala in response to the masked fearful faces (compared to neutral faces) was significantly correlated with the number of fearful faces detected. In addition, right but not left amygdala activation in response to the masked angry faces was significantly related to the number of angry faces detected. The present findings underscore the role of the amygdala in the detection and consolidation of memory for marginally perceptible threatening facial expression.     

Measuring individual differences in sensitivities to basic emotions in faces

The assessment of individual differences in facial expression recognition is normally required to address two major issues: (1) high agreement level (ceiling effect) and (2) differential difficulty levels across emotions. We propose a new assessment method designed to quantify individual differences in the recognition of the six basic emotions, 'sensitivities to basic emotions in faces.' We attempted to address the two major assessment issues by using morphing techniques and item response theory (IRT). We used morphing to create intermediate, mixed facial expression stimuli with various levels of recognition difficulty. Applying IRT enabled us to estimate the individual latent trait levels underlying the recognition of respective emotions (sensitivity scores), unbiased by stimulus properties that constitute difficulty. In a series of two experiments we demonstrated that the sensitivity scores successfully addressed the two major assessment issues and their concomitant individual variability. Intriguingly, correlational analyses of the sensitivity scores to different emotions produced orthogonality between happy and non-happy emotion recognition. To our knowledge, this is the first report of the independence of happiness recognition, unaffected by stimulus difficulty.     

The facial pattern of disgust, appetence, excited joy and relaxed joy: an improved facial EMG study

The purpose of the study was to investigate the facial muscle pattern of disgust in comparison to appetence and joy, using an improved facial EMG method. We analyzed the activity of nine facial muscles in forty healthy subjects. The subject group was randomly divided into two groups (oversaturated vs. hungry) of ten women and ten men each. Four different emotions (disgust, appetence, excited-joy and relaxed-joy) were induced by showing pictures from the IAPS. Pre-visible facial muscle activity was measured with a new facial EMG. A Visual Analog Scale (VAS) was established. Disgust is represented by a specific facial muscle pattern involving M.corrugator and M.orbicularis oculi, clearly distinguishing it from the facial patterns of appetence and joy. The intensity of disgust is stronger in a state of hunger than under oversaturation and is altogether stronger in females than in males. Our findings indicate the possibility to explore the entire emotion system successfully through a state-of-the-art psychophysiological method like our EMG device.     

Media exposure, mood, and body image dissatisfaction: an experimental test of person versus product priming

In the current study, 138 college females were randomly assigned to four media exposure conditions based on the presence or absence of an attractive person (fashion model) and the presence or absence of an appearance-related product. Outcome measures consisted of visual analogue ratings of multiple body image and mood variables. The results revealed a significant main effect for person, indicating that the presence of a model increased levels of body dissatisfaction and negative mood. No product effect emerged and there was no significant interaction between person and product. These findings suggest that the appearance priming effect of media exposure on body dissatisfaction and mood is specific to a person stimulus, with no additional effect promoted by a generic appearance-relevant stimulus.     

Socio-cognitive,expertise-based and appearance-based accounts of the other-‘race’ effect in face perception: A label-based systematic review of neuroimaging results

Two competing theories explain the other-‘race’ effect (ORE) either by greater perceptual expertise to same-‘race’ (SR) faces or by social categorization of other-‘race’ (OR) faces at the expense of individuation. To assess expertise and categorization contributions to the ORE, a promising—yet overlooked—approach is comparing activations for different other-‘races’. We present a label-based systematic review of neuroimaging studies reporting increased activity in response to OR faces (African, Caucasian, or Asian) when compared with the SR of participants. Hypothetically, while common activations would reflect general aspects of OR perception, ‘race’-preferential ones would represent effects of ‘race’-specific visual appearance. We find that several studies report activation of occipito-temporal and midcingulate areas in response to faces across different other-‘races’, presumably due to high demand on the visual system and category processing. Another area reported in response to all OR faces, the caudate nucleus, suggests the involvement of socio-affective processes and behavioural regulation. Overall, our results support hybrid models—both expertise and social categorization contribute to the ORE, but they provide little evidence for reduced motivation to process OR faces. Additionally, we identify areas preferentially responding to specific OR faces, reflecting effects of visual appearance.     

An intelligent facial expression recognition system with emotion intensity classification

Facial expressions play a crucial role in emotion recognition as compared to other modalities. In this work, an integrated network, which is capable of recognizing emotion intensity levels from facial images in real time using deep learning technique is proposed. The cognitive study of facial expressions based on expression intensity levels are useful in applications such as healthcare, coboting, Industry 4.0 etc. This work proposes to augment emotion recognition with 2 other important parameters, valence and emotion intensity. This helps in better automated responses by a machine to an emotion. The valence model helps in classifying emotion as positive and negative emotions and discrete model classifies emotions as happy, anger, disgust, surprise and neutral state using Convolution Neural Network (CNN). Feature extraction and classification are carried out using CMU Multi-PIE database. The proposed architecture achieves 99.1% and 99.11% accuracy for valence model and discrete model respectively for offline image data with 5-fold cross validation. The average accuracy achieved in real time for valance model and discrete model is 95% & 95.6% respectively. Also, this work contributes to build a new database using facial landmarks, with three intensity levels of facial expressions which helps to classify expressions into low, mild and high intensities. The performance is also tested for different classifiers. The proposed integrated system is configured for real time Human Robot Interaction (HRI) applications on a test bed consisting of Raspberry Pi and RPA platform to assess its performance.