A voice without a mouth no more: The neurobiology of language, consciousness, and mental health

Most research on the neurobiology of language ignores consciousness and vice versa. Here, language and inner speech are proposed to cause and sustain self-awareness and meta-self-awareness, i.e., extended consciousness. Converging empirical evidence supporting this proposal is reviewed and explanatory mechanisms are described. The latter are embedded in a ‘HOLISTIC’ model of the supporting neurobiology that involves a ‘core’ set of inner speech production regions that initiate conscious ‘overhearing’ of words. These have an affective quality deriving from activation of associated sensory, motor, and emotional representations, involving a largely unconscious dynamic ‘periphery’, distributed throughout the whole brain. This is the basis for inner conversations, involving ‘default mode’ activation and prefrontal and thalamic/brainstem selection of contextually relevant responses. Entrenched patterns of connectivity in these networks form the basis of diminished wellbeing and mental health problems. Overall, this framework constitutes a more parsimonious and complete account of the ‘neural correlates’ of extended consciousness than existing models that consider language peripherally if at all and provides a viable mechanistic account of psychotherapy.

Emotional representations of space vary as a function of peoples’ affect and interoceptive sensibility

Most research on people’s representation of space has focused on spatial appraisal and navigation. But there is more to space besides navigation and assessment: people have different emotional experiences at different places, which create emotionally tinged representations of space. Little is known about the emotional representation of space and the factors that shape it. The purpose of this study was to develop a graphic methodology to study the emotional representation of space and some of the environmental features (non-natural vs. natural) and personal features (affective state and interoceptive sensibility) that modulate it. We gave participants blank maps of the region where they lived and asked them to apply shade where they had happy/sad memories, and where they wanted to go after Covid-19 lockdown. Participants also completed self-reports on affective state and interoceptive sensibility. By adapting methods for analyzing neuroimaging data, we examined shaded pixels to quantify where and how strong emotions are represented in space. The results revealed that happy memories were consistently associated with similar spatial locations. Yet, this mapping response varied as a function of participants’ affective state and interoceptive sensibility. Certain regions were associated with happier memories in participants whose affective state was more positive and interoceptive sensibility was higher. The maps of happy memories, desired locations to visit after lockdown, and regions where participants recalled happier memories as a function of positive affect and interoceptive sensibility overlayed significantly with natural environments. These results suggest that people’s emotional representations of their environment are shaped by the naturalness of places, and by their affective state and interoceptive sensibility.

Illness perceptions predict distress in patients with chronic kidney disease

Background Patients diagnosed with chronic kidney disease (CKD) report increased distress associated with their clinical diagnosis. Distress in patients with predialysis CKD, has been linked to several adverse events; including increased risk of hospitalisation, early dialysis initiation and even death, suggesting that distress is a matter of great concern during routine care in predialysis CKD. Aims The present study aimed to assess the nature of illness perceptions and the level of distress in a CKD cohort diagnosed with different stages of kidney disease. It also aimed to explore the correlates of distress and to create a model for distress and its associated predictors making use of hierarchical regression analysis. Methods A sample of 200 patients diagnosed with Chronic Kidney Disease were recruited for this study from the nephrology outpatient clinics of Mater Dei Hospital, Malta. The participants were assessed for their; illness perceptions, treatment beliefs, level of depression and anxiety, coping style, as well as treatment adherence. Routine clinical information was also collected for participants, including a co-morbidity score. Results A percentage of 33.5% of the participants reported moderate distress, whilst 9.5% reported severe distress. Stronger illness identity, a perception of timeline as being increasingly chronic or cyclical in nature, greater consequences and higher emotional representations were associated with more advanced stages of CKD. In contrast, lower personal and treatment control and poorer illness coherence were associated with more advanced stages of CKD. Results from the hierarchical regression analysis showed that illness perceptions contributed significantly to distress over and above the clinical kidney factors. Being female, having low haemoglobin and specific illness perceptions including; perceptions of greater symptomatology, longer timeline, low personal control and strong emotional representations, as well as resorting to maladaptive coping, were all significantly associated with distress symptoms. Nevertheless, illness perceptions accounted for the greatest variance in distress thus indicating that the contribution of illness perceptions is greater than that made by the other known covariates. Conclusion Illness perceptions hold a principal role in explaining distress in CKD, relative to other traditional covariates. For this reason, illness perceptions should be addressed as a primary modifiable component in the development of distress in CKD.

Multi-Level Context Pyramid Network for Visual Sentiment Analysis

Sharing our feelings through content with images and short videos is one main way of expression on social networks. Visual content can affect people’s emotions, which makes the task of analyzing the sentimental information of visual content more and more concerned. Most of the current methods focus on how to improve the local emotional representations to get better performance of sentiment analysis and ignore the problem of how to perceive objects of different scales and different emotional intensity in complex scenes. In this paper, based on the alterable scale and multi-level local regional emotional affinity analysis under the global perspective, we propose a multi-level context pyramid network (MCPNet) for visual sentiment analysis by combining local and global representations to improve the classification performance. Firstly, Resnet101 is employed as backbone to obtain multi-level emotional representation representing different degrees of semantic information and detailed information. Next, the multi-scale adaptive context modules (MACM) are proposed to learn the sentiment correlation degree of different regions for different scale in the image, and to extract the multi-scale context features for each level deep representation. Finally, different levels of context features are combined to obtain the multi-cue sentimental feature for image sentiment classification. Extensive experimental results on seven commonly used visual sentiment datasets illustrate that our method outperforms the state-of-the-art methods, especially the accuracy on the FI dataset exceeds 90%.

Emotional representations of space vary as a function of peoples’ mental health and interoceptive awareness

As people interact in extensive environments, their space becomes intertwined with emotions. Yet, beyond the study of spatial appraisal and navigation1–3, the emotional representation of space remains elusive. Here we developed a method that, even without mobility (during Covid-19 lockdown), allows examining participants’ emotional representation of space and psychophysiological correlates. We gave participants blank maps of the region where they lived and asked them to apply shade where they had happy/sad memories, and where they wanted to go after the lockdown. They also completed self-reports on mental health and interoceptive awareness (appraisal of inner bodily sensations). By adapting neuroimaging methods, we examined shaded pixels instead of brain voxels to quantify where and how strong emotions are represented in space. The results revealed that happy memories were consistently associated with similar spatial locations. Yet, this mapping response varied as a function of participants’ mental health and interoceptive awareness. Interestingly, maps of happy memories and desired locations after lockdown overlay significantly with natural environments (vs. non-natural). These results suggest that our relationship with the environment relates to how we feel and appraise bodily sensations (i.e., allostasis in space). Our method may provide a spatially ecological marker for physical and mental disorders.

Exploring the Social and Emotional Representations Used by the Elderly to Deal With the COVID-19 Pandemic

Spain has become one of the European epicenters of coronavirus (COVID-19), a virus that particularly affects the elderly, since this group accounts for the majority of hospitalized cases and has the highest mortality rates. Therefore, the aim of this research is to understand how elderly people represent and emotionally cope with COVID-19 during the days when the pandemic emerged in Spain. Using a qualitative methodology, a free association exercise elicited by the word “COVID-19” was completed by 115 participants (age range: 60–85 years) from the North of Spain. Lexical analysis was used to analyze the content. The results revealed that the government and the mass media are criticized for failing to communicate a clear message, and for giving out information that is both insufficient and contradictory. However, participants are clear that it is essential to follow the guidelines of the scientists and doctors, which are represented as credible sources. However, when the state of alarm and the lockdown of all citizens was declared, most of the participants represented the risk as being associated with the elderly and the pandemic became something that might also affect their families. Due to these circumstances, negative emotions appear such as fear, nervousness, uncertainty, restlessness, and insecurity. Feelings of solitude and loneliness also emerged, and these are represented as being linked to death. These results indicate the need for governments to manage the current situation with the elderly by placing greater emphasis on social and inclusive policies to help alleviate the possible effects of the pandemic and the lockdown.

Men's psychological well-being during COVID-19: the moderator role of posttraumatic growth

Background and objective: Men are significantly affected by COVID-19 stressors that impact psychological well-being. The purpose of this study was to examine the relationships between distress, risk perception, emotional representations, preventive COVID-19 infection behaviors, COVID-19 traumatic stress, posttraumatic growth, and psychological well-being, taking also into consideration sociodemographic variables as well as the moderator role of posttraumatic growth in the relationship between traumatic stress and psychological well-being. Material and methods: A cross-sectional design was used. Data were collected during the lockdown, in Portugal, from January to March 2021. The sample included 220 men who answered the questionnaires online. Results: Anxiety and depression symptoms (distress), traumatic stress, and emotional representations were negatively associated with psychological well-being. Older men, professionally active men, and men not in teleworking reported greater psychological well-being. The findings also showed that less emotional representations, less traumatic stress, and lower levels of distress contributed to greater psychological well-being. Finally, posttraumatic growth played a moderating role in the relationship between traumatic stress and psychological well-being. Conclusion: Interventions and further studies must consider the buffering role of posttraumatic growth during the COVID-19 pandemic and focus on helping men handle the associated traumatic stress in order to promote psychological well-being.

Mammography Adherence among High-Risk Women with Breast Cancer and Either a Non-Pathogenic Mutation Identified or Untested BRCA1/2 Genetic Status

Background: Little is known about the illness perceptions of women with a previous breast cancer diagnosis and either no access to a personal BRCA1/2 test or tested and a no pathogenic mutation identified result and how this might impact their mammography adherence. Objective: The aim of this study was to assess the impact of illness beliefs, specifically those relating to emotional representations and cure and control beliefs about breast cancer, and socio-economic status (SES) on mammography adherence of these women. The traditional health belief model (HBM) was compared to a modified model which allowed for the contribution of emotions in health surveillance decision-making. Method: Mailed self-report questionnaires were completed by 193 women recruited from an Australian Familial Cancer Centre. Step-wise logistic regression analyses were conducted on n=150 [aged 27-89 years (M=56.9)] for whom complete data were available. Results: The questionnaire response rate was 36%. Higher levels of emotional representations of breast cancer were associated with greater mammography adherence (OR = 1.18, 95% CI = 1.03-1.36, p =.019). Middle income was six times more likely to predict mammography adherence than lower income (OR = 6.39, 95% CI = 1.03 – 39.63, p =.047). The modified HBM was superior to the traditional HBM in predicting mammography adherence (X2 [15, N = 118] = 26.03, p =.038). Conclusions: Despite a modest response rate, our data show that emotional illness representations about breast cancer and middle income status were found to significantly predict mammography adherence. Therefore, providing surveillance services and delivering information considerate of financial status and constructed around emotional motivators may facilitate mammography adherence among women like those described in this study.

The psychometric properties of the Revised Illness Perception Questionnaire (IPQ-R) regarding Internet gaming disorder in a general population of Chinese adults

Background and aimsInternet gaming disorder (IGD) has been recognized as a mental illness. Cognitive and emotional illness representations affect coping and health outcomes. Very little is known about such perceptions related to IGD, in both general and diseased populations. This study examined the psychometric properties of the Revised Illness Perception Questionnaire (IPQ-R) for IGD in a general population that included mostly non-cases while a small proportion of the sample was IGD cases.MethodsAn anonymous cross-sectional telephone survey was conducted in a random sample of 1,501 Chinese community-dwelling adults (41.3% male; mean age = 40.42, SD = 16.85) in Macao, China.ResultsThe confirmatory factor analysis identified a modified 6-factor model (i.e., timeline cyclical, consequences, personal control, treatment control, illness coherence, and emotional representations) of 26 items that showed satisfactory model fit and internal consistency. Criterion-related validity was supported by the constructs' significant correlations with stigma (positive correlations: timeline cyclical, consequence, emotional representations; negative correlations: illness coherence). Ever-gamers, compared to never-gamers, reported higher mean scores in the subscales of personal control and illness coherence, and lower mean scores in time cyclical, consequence, and emotional representations. Among the sampled gamers, probable IGD cases were more likely than non-IGD cases to perceive IGD as cyclical and involved more negative emotions.ConclusionsThis study shows that the revised 26-item version of IPQ-R is a valid instrument for assessing illness representation regarding IGD in a general population of Chinese adults. It can be used in future research that examines factors of incidence and prevention related to IGD.