People's Mental States Research Articles

Altruism under Stress: Cortisol Negatively Predicts Charitable Giving and Neural Value Representations Depending on Mentalizing Capacity.

Altruism, defined as costly other-regarding behavior, varies considerably across people and contexts. One prominent context in which people frequently must decide on how to socially act is under stress. How does stress affect altruistic decision-making and through which neurocognitive mechanisms? To address these questions, we assessed neural activity associated with charitable giving under stress. Human participants (males and females) completed a charitable donation task before and after they underwent either a psychosocial stressor or a control manipulation, while their brain activity was measured using functional magnetic resonance imaging. As the ability to infer other people's mental states (i.e., mentalizing) predicts prosocial giving and may be susceptible to stress, we examined whether stress effects on altruism depend on participants' general capacity to mentalize, as assessed in an independent task. Although our stress manipulation per se had no influence on charitable giving, increases in the stress hormone cortisol were associated with reductions in donations in participants with high mentalizing capacity, but not in low mentalizers. Multivariate neural response patterns in the right dorsolateral prefrontal cortex (DLPFC) were less predictive of postmanipulation donations in high mentalizers with increased cortisol, indicating decreased value coding, and this effect mediated the (moderated) association between cortisol increases and reduced donations. Our findings provide novel insights into the modulation of altruistic decision-making by suggesting an impact of the stress hormone cortisol on mentalizing-related neurocognitive processes, which in turn results in decreased altruism. The DLPFC appears to play a key role in mediating this cortisol-related shift in altruism.SIGNIFICANCE STATEMENT Altruism is a fundamental building block of our society. Emerging evidence indicates a major role of acute stress and stress-related neuromodulators in social behavior and decision-making. How and through which mechanisms stress may impact altruism remains elusive. We observed that the stress hormone cortisol was linked to diminished altruistic behavior. This effect was mediated by reduced value representations in the right dorsolateral prefrontal cortex and critically depended on the individual capacity to infer mental states of others. Our findings provide novel insights into the modulation of human altruism linked to stress-hormone dynamics and into the involved sociocognitive and neural mechanisms, with important implications for future developments of more targeted interventions for stress-related decrements in social behavior and social cognition.

The Transdiagnostic Relevance of Self-Other Distinction to Psychiatry Spans Emotional, Cognitive and Motor Domains.

Self-other distinction refers to the ability to distinguish between our own and other people's physical and mental states (actions, perceptions, emotions etc.). Both the right temporo-parietal junction and brain areas associated with the human mirror neuron system are likely to critically influence self-other distinction, given their respective contributions to theory of mind and embodied empathy. The degree of appropriate self-other distinction will vary according to the exact social situation, and how helpful it is to feel into, or remain detached from, another person's mental state. Indeed, the emotional resonance that we can share with others affords the gift of empathy, but over-sharing may pose a downside, leading to a range of difficulties from personal distress to paranoia, and perhaps even motor tics and compulsions. The aim of this perspective paper is to consider how evidence from behavioral and neurophysiological studies supports a role for problems with self-other distinction in a range of psychiatric symptoms spanning the emotional, cognitive and motor domains. The various signs and symptoms associated with problematic self-other distinction comprise both maladaptive and adaptive (compensatory) responses to dysfunction within a common underlying neuropsychological mechanism, compelling the adoption of more holistic transdiagnostic therapeutic approaches within Psychiatry.

The timeline of mentalization: Distinguishing a two-phase process from mind detection to mind attribution

Mentalization is the ability to perceive other people's mental states. This research aimed to deepen our understanding of the underlying mechanisms while also exploring the timeline of the mentalization process. Two studies were conducted in which participants' electrophysiological activity was measured while elaborating Black and White (Study 1), or Italian (ingroup) and Romanian (outgroup), human and doll-like faces (Study 2). Moreover, in Study 2 the presented faces differed in their Facial Width-to-Height Ratio. Subsequently, an Implicit Mind Attribution Test (IMAT) measured the strength of the association of the same ingroup and outgroup human stimuli with mind and body-related words. Two different phases in the time course of the mentalization process emerged. An early ERP component (N170) indicated a first difference between doll-like, mindless and human, mindful targets, while a later ERP component (P300) represented the second stage of mentalization. In this stage, outgroup doll-like faces were elaborated more similarly to the outgroup human faces compared to the same stimuli of the ingroup. Moreover, only a positive correlation between the P300 and the IMAT emerged indicating that the differences in this later ERP component were related with an implicit behavioral measure of mind attribution. These results stipulate the timeline of the mentalization process that is defined by an initial moment of mind detection, in which mindful and mindless stimuli are differentiated for the first time, and a second phase of mind attribution, where the interplay of perceptual and contextual information determine the extraction of a mind from a face.

Spontaneous state alternations in the time course of mind wandering

It's a common assumption that people's mental state timeline can be divided into a sequence of focus-mind wandering episodes, each comprises a focusing stage followed by a mind wandering stage. Accordingly, probability of being in a focus state should be high early in an episode and decrease overtime. We investigated the dynamics of shifting between meditation and off task thoughts by systematically probing participants at various time points during a focus-mind wandering episode. Contrary to predictions of the two-stage model, there's no significant decrease in probability of focus state during a focus-mind wandering episode. Simulations matching parameters of each participant suggest that the lack of this negative trend was not due to statistical power. Instead, people may have multiple spontaneous alternations between meditation and off task thoughts before they are able to catch themselves mind wandering. Based on this Multiple Sub-event Model, a novel method was developed to estimate the number of sub-events during a focus-mind wandering episode.

Psychological features of experiences sudden loss of a close person

The article focuses on changes in people's mental state during the period of death of a loved one, taking into account age and gender. To this end, the analysis of recent research and publications on the mental state of a person experiencing grief due to the loss of a loved one, analyzed and highlighted the content of various changes in human life due to such loss, formed a research hypothesis and developed an author's questionnaire to verify its validity. The questionnaire was developed based on the assumption that respondents who have experienced the sudden loss of a loved one will be divided into two groups: the first - those experiencing complicated grief, and the second - those who have experienced loss in the normal mode. In this case, the type of grief is to some extent determined by time and depth of experience, and these criteria are not crucial in the empirical study of the complicated experience of a sudden loss of a loved one. Thus, in the study of the psychological characteristics of the experience of a sudden loss of a loved one, the criteria of complicated and average experience were chosen. The results of the empirical study presented in the article indicate the presence of insignificant differences in the experience of a sudden loss of a relative by respondents of different age groups and the dominance of complicated experience in female respondents. It is also emphasized that the outlined issues require a comprehensive and multilevel study of the impact of sudden death on the individual's psychological state, as this issue is complex in its structure. It is concluded that the criteria selected for the study are only part of the system and do not allow to form a holistic picture and indicate the feasibility of distinguishing respondents by the role of the deceased in the respondent's life and direct relationship to it.

Deep learning for classification of sleep EEG data during the epidemic of Coronavirus Disease

Sleep is an important part of the body's recuperation and energy accumulation, and the quality of sleep also has a significant impact on people's physical and mental state during the epidemic of Coronavirus Disease. It has attracted increasing attention how to improve the quality of sleep and reduce the impact of sleep related diseases on health. The electroencephalogram (EEG) signals collected during sleep belong to spontaneous EEG signals. Spontaneous sleep EEG signals can reflect the body own changes, which is also an important basis for diagnosis and treatment of related diseases. Therefore, the establishment of an effective model for classifying sleep EEG signals is an important auxiliary tool for evaluating sleep.

Altered third-party punishment in Huntington's disease: A study using neuroeconomic games.

BackgroundHuntington's disease (HD) is a heritable degenerative brain disease caused by a mutation in the huntingtin gene with excessive repeats of the base triplet cytosine–adenine–guanine (CAG), which codes for the aminoacid glutamine. HD is associated with a broad spectrum of neurocognitive dysfunction, including deficits in social cognition. The appreciation of fairness rules and reciprocity has not been studied in HD. Based on theoretical considerations suggesting that brain regions known to be affected from HD are involved in economic decision‐making, the present study sought to examine HD patients' performance in two neuroeconomic games.MethodsTwenty‐nine manifest HD mutation carriers (20 males, nine females) performed an Ultimatum Game (UG) and a Dictator Game (DG) where third‐party punishment of observed unfairness was required. In addition, patients were tested for neurocognition and the ability to understand other people's mental states (“theory of mind”). For comparison, a clinical control group of 30 patients with chronic schizophrenia, and 30 unaffected healthy controls matched for age and verbal intelligence took part in the study.ResultsPatients with HD had some appreciation of fairness rules, as they tended to reject unfair offers in the UG similar to controls. However, unlike the other two groups, individuals with HD did not punish observed unfairness from a third‐party perspective. This lack of “altruistic punishment” was associated with deficits in executive functioning including working memory, inhibitory control and cognitive flexibility, and to a lesser degree with poor “theory of mind.”ConclusionsHD seems to be associated with impairments in understanding of more complex rules of social exchange. Aside from deficits in executive functioning, this behavior could, in part, be linked to an inability to experience third‐party punishment as rewarding.

Public mental health under the long-term influence of COVID-19 in China: Geographical and temporal distribution

BackgroundThe mental health status caused by major epidemics is serious and lasting. At present, there are few studies about the lasting mental health effects of COVID-19 outbreak. The purpose of this study was to investigate the mental health of the Chinese public during the long-term COVID-19 outbreak. MethodsA total of 1172 online questionnaires were collected, covering demographical information and 8 common psychological states: depression, anxiety, somatization, stress, psychological resilience, suicidal ideation and behavior, insomnia, and stress disorder. In addition, the geographical and temporal distributions of different mental states were plotted. ResultsOverall, 30.1% of smokers increased smoking, while 11.3% of drinkers increased alcohol consumption. The prevalence rates of depression, anxiety, mental health problems, high risk of suicidal and behavior, clinical insomnia, clinical post-traumatic stress disorder symptoms, moderate-to-high levels of perceived stress were 18.8%, 13.3%, 7.6%, 2.8%, 7.2%, 7.0%, and 67.9%, respectively. Further, the geographical distribution showed that the mental status in some provinces/autonomous regions/municipalities was relatively more serious. The temporal distribution showed that the psychological state of the participants was relatively poorer on February 20, 24 to 26 and March 25, especially on March 25. LimitationsThis cross-sectional design cannot make causal inferences. The snowball sampling was not representative enough. ConclusionOur findings suggest that the prevalence rate of mental disorders in the Chinese public is relatively low in the second month of the COVID-19 pandemic. In addition, people's mental state is affected by the geographical and temporal distributions.

Trivariate Theory of Mind Data Analysis with a Conditional Joint Modeling Approach.

Theory of mind (ToM) is an essential social-cognitive ability to understand one's own and other people's mental states. Neural data as well as behavior data have been utilized in ToM research, but the two types of data have rarely been analyzed together, creating a large gap in the literature. In this paper, we propose and apply a novel joint modeling approach to analyze brain activations with two types of behavioral data, response times and response accuracy, obtained from a multi-item ToM assessment, with the intention to shed new light on the nature of the underlying process of ToM reasoning. Our trivariate data analysis suggested that different levels or kinds of processes might be involved during the ToM assessment, which seem to differ in terms of cognitive efficiency and sensitivity to ToM items and the correctness of item responses. Additional details on the trivariate data analysis results are provided with discussions on their implications for ToM research.

A day in the life of a psychiatrist in 2050: where will the algorithm take us?

Digital phenotyping (such as using live data from personal digital devices on sleep, activity and social media interactions) to monitor and interpret people's current mental state is a newly emerging development in psychiatry. This article offers an imaginary insight into its future potential for both psychiatrist and patient.

Multi-Level Knowledge Injecting for Visual Commonsense Reasoning

When glancing at an image, human can infer what is hidden in the image beyond what is visually obvious, such as objects' functions, people's intents and mental states. However, such a visual reasoning paradigm is tremendously difficult for computer, requiring knowledge about how the world works. To address this issue, we propose Commonsense Knowledge based Reasoning Model (CKRM) to acquire external knowledge to support Visual Commonsense Reasoning (VCR) task, where the computer is expected to answer challenging visual questions. Our key ideas are: (1) To bridge the gap between recognition-level and cognition-level image understanding, we inject external commonsense knowledge via multi-level knowledge transfer network, achieving cell-level, layer-level and attention-level joint information transfer. It can effectively capture knowledge from different perspectives, and perceive common sense of human in advance. (2) To further promote image understanding at cognitive level, we propose a knowledge based reasoning approach, which can relate the transferred knowledge to visual content and compose the reasoning cues to derive the final answer. Experiments are conducted on the challenging visual commonsense reasoning dataset VCR to verify the effectiveness of our proposed CKRM approach, which can significantly improve reasoning performance and achieve the state-of-the-art accuracy.

Social cognition and sex: Are men and women really different?

Social cognition includes the ability to represent other people's intentions and beliefs, and the ability to share and recognise the emotions of others. Here, the main aim was to assess the possible presence of sex differences across four aspects of social cognition: (1) recognition of dynamic facial expressions; (2) representation of other people's mental states (both affective and cognitive Theory of Mind, ToM); (3) empathy; (4) identification and regulation of one's own emotions. Measures assessing social cognition were administrated to two hundred ten participants equally divided between men and women. Results showed no significant sex differences in affective and cognitive ToM, in the recognition of emotional facial expressions (with the exception of anger: women were more accurate than men), and in the ability to identify and regulate one's own emotions. A different result was found for empathy, with women reporting higher scores than men. No significant differences between women during follicular vs. luteal phase of menstrual cycle for all the social cognition measures were found. These results are discussed in light of the existing literature. To our knowledge, this study represents one of the few attempts to analyse in a single work sex differences across multiple areas of social cognition.

Research and development of autism diagnosis information system based on deep convolution neural network and facial expression data

PurposeFacial expression provides abundant information for social interaction, and the analysis and utilization of facial expression data are playing a huge driving role in all areas of society. Facial expression data can reflect people's mental state. In health care, the analysis and processing of facial expression data can promote the improvement of people's health. This paper introduces several important public facial expression databases and describes the process of facial expression recognition. The standard facial expression database FER2013 and CK+ were used as the main training samples. At the same time, the facial expression image data of 16 Chinese children were collected as supplementary samples. With the help of VGG19 and Resnet18 algorithm models of deep convolution neural network, this paper studies and develops an information system for the diagnosis of autism by facial expression data.Design/methodology/approachThe facial expression data of the training samples are based on the standard expression database FER2013 and CK+. FER2013 and CK+ databases are a common facial expression data set, which is suitable for the research of facial expression recognition. On the basis of FER2013 and CK+ facial expression database, this paper uses the machine learning model support vector machine (SVM) and deep convolution neural network model CNN, VGG19 and Resnet18 to complete the facial expression recognition.FindingsIn this study, ten normal children and ten autistic patients were recruited to test the accuracy of the information system and the diagnostic effect of autism. After testing, the accuracy rate of facial expression recognition is 81.4 percent. This information system can easily identify autistic children. The feasibility of recognizing autism through facial expression is verified.Research limitations/implicationsThe CK+ facial expression database contains some adult facial expression images. In order to improve the accuracy of facial expression recognition for children, more facial expression data of children will be collected as training samples. Therefore, the recognition rate of the information system will be further improved.Originality/valueThis research uses facial expression data and the latest artificial intelligence technology, which is advanced in technology. The diagnostic accuracy of autism is higher than that of traditional systems, so this study is innovative. Research topics come from the actual needs of doctors, and the contents and methods of research have been discussed with doctors many times. The system can diagnose autism as early as possible, promote the early treatment and rehabilitation of patients, and then reduce the economic and mental burden of patients. Therefore, this information system has good social benefits and application value.

Does empirical evidence support perceptual mindreading?

According to perceptual accounts of mindreading, we can see, rather than cognize, other people's mental states. On one version of this approach, certain mental properties figure in the contents of our perceptual experiences. In a recent paper, Varga has appealed to empirical research to argue that intentions and emotions can indeed be seen, rather than cognized. In this paper, I argue that none of the evidence adduced to support the perceptual account of mindreading shows that we see mental properties, as opposed to non-mental properties.

Assessment of eating and lifestyle habits among Polish cosmetology and physiotherapy students.

Proper nutritional behaviors are one of the most important factors shaping our health, as they influence people's physical and mental state. Good eating habits help prevent many chronic diseases, including cardiovascular disease, type II diabetes, some types of cancer, and osteoporosis. The Polish population aged 20-34 years displays improper nutritional behaviors which may put them at risk of developing diet-dependent diseases in the future. There is a need to assess students' lifestyle, including their eating habits, as it would help adapt already existing education programs. We evaluated and compared eating habits and lifestyle of students studying cosmetology and physiotherapy in association with selected risk factors of civilization diseases. We used a standardized dietary questionnaire evaluating respondents' physical activity, smoking and dietary habits. The obtained results were compared with the recommendations from the Polish food-based dietary guidelines. We evaluated respondents' nutritional status based on their anthropometric measurements such as body weight, body height, hips and waist circumferences and then we estimated their body mass index (BMI) and waist hip ratio (WHR). Students studying cosmetology and physiotherapy obtained on average 5.3 ±1.5 points based on their compliance with the nutritional recommendations. The academic youth did not meet principles of healthy nutrition according to the given recommendations. There were no significant differences in nutrition status between the faculties, except for products that provide complete protein. There is a need to increase nutritional awareness of academic youth, especially students of health-related faculties, because better knowledge on nutrition would help them choose healthier food options.

Social problem solving in adult patients with attention deficit hyperactivity disorder

Patients with Attention Deficit Hyperactivity Disorder (ADHD) experience interpersonal difficulties potentially linked to impaired social cognition. We aimed to investigate social problem solving strategies in adults with ADHD. Nineteen patients with ADHD and 20 healthy controls were assessed with a scenario-based battery gauging the ability to understand other people's mental states, to recognize interpersonal conflicts and to generate and identify optimal (i.e. both socially sensitive and practically effective) solutions to these conflicts. Furthermore, measures of socioemotional and executive functioning were administered. Patients and controls performed on a similar level with respect to theory of mind, the generation of the “best” solution to problematic social situations and the selection of the optimal solution out of alternatives. However, in a fluency task, patients generated fewer optimal solutions, while the number of only socially sensitive, only practically effective or irrelevant solutions was comparable in both groups. The overall ability to freely generate problem solutions was not linked to executive functioning or trait empathy, but better generation abilities were related to lower social interaction anxiety in the patients only. This suggests impaired generation fluency of optimal interpersonal conflict solutions in patients with ADHD which might contribute to higher levels of anxiety in social interactions.

Simulating other people changes the self.

The self is not static. Our identities change considerably over development and across situations. Here, we propose one novel cause of self-change: simulating others. How could simply imagining others change the self? First, when simulating other people's mental states and traits, individuals access self-knowledge; they do so while concurrently considering information about the other person they are trying to understand. Second, episodic and semantic knowledge is malleable and susceptible to incorporating new, postevent information. If self-knowledge is similarly malleable, then simulation may change self-knowledge such that it incorporates information about the simulated person (i.e., "postevent information"). That is, simulation should render the self more similar to the simulated other. We test this hypothesis in 8 studies. In each study, participants (a) recalled personal information (e.g., traits and episodic memories), (b) simulated other people in similar contexts, and (c) re-recalled personal information. Results consistently demonstrated that simulating others changed self-knowledge, such that the self becomes more similar to the simulated other. This effect occurred for both traits and memories, spanned self-report and linguistic measures, and persisted 24 hr after simulation. The findings suggest that self-knowledge is susceptible to misinformation effects similar to those observed in other forms of semantic and episodic knowledge. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Acquisition of Person Knowledge.

How do we learn what we know about others? Answering this question requires understanding the perceptual mechanisms with which we recognize individuals and their actions, and the processes by which the resulting perceptual representations lead to inferences about people's mental states and traits. This review discusses recent behavioral, neural, and computational studies that have contributed to this broad research program, encompassing both social perception and social cognition.

Neurocognitive Predictors of Understanding of Intentions in Parkinson Disease.

Theory of Mind (ToM), the ability to understand other people's mental states, is essential in everyday social interactions. The relationship between cognitive domains and ToM impairment in Parkinson disease (PD) has been receiving growing attention with ambiguous findings. The objective of the current study was to ascertain which cognitive domain predicts understanding of intentions and the impact of PD-specific clinical measures on ToM performance. A secondary aim was to evaluate whether cognitive impairment mediates the relationship between severity of illness and ToM impairment. Fifty-one nondemented patients with idiopathic PD, ranging from early to advanced stages, were enrolled. A comprehensive neurocognitive battery and 2 ToM tasks (Hinting Task and Comic Strip Task) were administered during the patients' best "on" medication state. Only the task of measuring working memory capacity was significantly associated with both ToM tasks (Hinting Task Spearman rank correlation [ rs] = 0.309, P ≤ .05; Comic Strip Task rs = 0.595, P ≤ .01). Patients with more progressed disease and higher doses of dopaminergic medication performed significantly worse in the Comic Strip Task. Based on the mediation analysis, relationship between the severity of the illness and understanding of intentions was mediated by cognitive flexibility. In PD, understanding of intentions is related to neurocognition, with working memory and cognitive flexibility playing a crucial role. The severity of PD predicts ToM performance.

Metacognitive improvement and symptom change in a 3-month treatment for borderline personality disorder.

Recognizing and reflecting on one's own and other people's mental states represent a major difficulty for patients with borderline personality disorder (BPD). Only recently have studies begun exploring whether these capacities increase with successful therapies and if such an improvement is linked with outcome. The present study investigated whether metacognition would improve and if its improvement was related with symptom change in BPD patients. The transcripts from the first and the penultimate session of a ten-session version of good psychiatric management were analysed with the MAS-R scale in a N=37 BPD sample. Patients, selected from a previously published RCT (Kramer etal., 2014), were assigned either to the good psychiatric management treatment or to the same treatment with the addition of the Motive-Oriented Therapeutic Relationship (Caspar, 2007), a form of therapeutic relationship based on an individualized case formulation. Symptoms were assessed with the OQ-45. Findings partially support the hypotheses. First, improvement in capacities to understand others' mind, to take a critical distance from one's own rigid and maladaptive beliefs, and to use behavioural and attentional strategies to face adversities is found in both treatment groups. Controlling for marital status, only the ability to differentiate between reality and representations remains significant. Second, no link between metacognitive change and symptom change during treatment is found. However, a link is observed between the increase in metacognition and symptom reduction at 6-month follow-up. Results invite to further investigate the role of metacognition in therapy change through different modalities and in longer-term treatments. The development of metacognitive processes and their links with symptom change were examined during a short-term treatment in 37 borderline patients Improvement was found in capacities to understand others' mind, to take a critical distance from own rigid and maladaptive beliefs, and to use behavioural and attentional strategies even in a short-term treatment Controlling for marital status, only the ability to take a critical distance from representations remained significant A link was observed between increase in metacognition and symptom reduction at 6-month follow-up Understanding and tailoring interventions to specific metacognitive difficulties could be associated with symptom change during treatment for BPD patients.