Associations of negative affective biases and depressive symptoms in a community-based sample.

BACKGROUND: Major depressive disorder (MDD) was previously associated with negative affective biases. Evidence from larger population-based studies, however, is lacking, including whether biases normalise with remission. We investigated associations between affective bias measures and depressive symptom severity across a large community-based sample, followed by examining differences between remitted individuals and controls. METHODS: Participants from Generation Scotland (N = 1109) completed the: (i) Bristol Emotion Recognition Task (BERT), (ii) Face Affective Go/No-go (FAGN), and (iii) Cambridge Gambling Task (CGT). Individuals were classified as MDD-current (n = 43), MDD-remitted (n = 282), or controls (n = 784). Analyses included using affective bias summary measures (primary analyses), followed by detailed emotion/condition analyses of BERT and FAGN (secondary analyses). RESULTS: For summary measures, the only significant finding was an association between greater symptoms and lower risk adjustment for CGT across the sample (individuals with greater symptoms were less likely to bet more, despite increasingly favourable conditions). This was no longer significant when controlling for non-affective cognition. No differences were found for remitted-MDD v. controls. Detailed analysis of BERT and FAGN indicated subtle negative biases across multiple measures of affective cognition with increasing symptom severity, that were independent of non-effective cognition [e.g. greater tendency to rate faces as angry (BERT), and lower accuracy for happy/neutral conditions (FAGN)]. Results for remitted-MDD were inconsistent. CONCLUSIONS: This suggests the presence of subtle negative affective biases at the level of emotion/condition in association with depressive symptoms across the sample, over and above those accounted for by non-affective cognition, with no evidence for affective biases in remitted individuals.

Characterizing individual differences in functional connectivity using dual-regression and seed-based approaches.

A central challenge for neuroscience lies in relating inter-individual variability to the functional properties of specific brain regions. Yet, considerable variability exists in the connectivity patterns between different brain areas, potentially producing reliable group differences. Using sex differences as a motivating example, we examined two separate resting-state datasets comprising a total of 188 human participants. Both datasets were decomposed into resting-state networks (RSNs) using a probabilistic spatial independent component analysis (ICA). We estimated voxel-wise functional connectivity with these networks using a dual-regression analysis, which characterizes the participant-level spatiotemporal dynamics of each network while controlling for (via multiple regression) the influence of other networks and sources of variability. We found that males and females exhibit distinct patterns of connectivity with multiple RSNs, including both visual and auditory networks and the right frontal-parietal network. These results replicated across both datasets and were not explained by differences in head motion, data quality, brain volume, cortisol levels, or testosterone levels. Importantly, we also demonstrate that dual-regression functional connectivity is better at detecting inter-individual variability than traditional seed-based functional connectivity approaches. Our findings characterize robust-yet frequently ignored-neural differences between males and females, pointing to the necessity of controlling for sex in neuroscience studies of individual differences. Moreover, our results highlight the importance of employing network-based models to study variability in functional connectivity.

Post-covid-19 syndrome: Self-compassion and psychological flexibility moderate the relationship between physical symptom load and psychosocial impact.

Living with persistent physical symptoms of an acute COVID-19 infection has a substantial impact on individuals' everyday lives. The identification of potential therapeutic targets for Post-COVID-19 Syndrome (PCS) or "Long-COVID" that can be utilised to reduce the impact of symptoms, is necessary to support effective rehabilitation. Self-compassion and psychological flexibility are thought to be important constructs to consider when understanding how individuals approach the management of long-term health challenges. The present study investigated the extent to which self-compassion and psychological flexibility moderate the relationship between physical symptoms and their impact on daily life. One-hundred and five participants (91 females) who were living with PCS after an acute COVID-19 infection, completed measures to assess PCS physical symptom prevalence as well as measures to assess impact on daily life, self-compassion and psychological flexibility. Two parallel moderation analyses showed that self-compassion and psychological flexibility significantly moderated the relationships between physical symptom presentation and their psychosocial impact. This research highlights the buffering effects of self-compassion and psychological flexibility and the need to consider these psychological therapeutic targets, as part of PCS multidisciplinary rehabilitation.

Psychosocial factors impacting community-based pressure ulcer prevention: A systematic review.

BACKGROUND: Pressure ulcers are a major health concern. They have a significant impact on the healthcare system and individuals, reducing quality of life across several domains. In community settings, self-management behaviours are central to their prevention. However, adherence with pressure ulcer prevention guidelines remains low, with little evidence guiding the relationship between patients and healthcare professionals to establish a concordant partnership. OBJECTIVE: To synthesise evidence on factors contributing to community-based pressure ulcer prevention using the Theoretical Domains Framework and the Capability, Opportunity, Motivation, Behaviour (COM-B) model of behaviour. DESIGN: Mixed methods systematic review and narrative synthesis. METHOD: Systematic searches were conducted in the CINAHL, Cochrane, EMBASE, PsycINFO, PubMed, Scopus, and Web of Science databases on 14th December 2022. Studies were eligible if they contained data on the factors associated with adherence and concordance with pressure ulcer prevention guidelines in the community for patients, caregivers, and healthcare professionals. Methodological quality was assessed using the Hawker tool. Findings were synthesised using the Theoretical Domains Framework. The resulting themes were mapped onto the Capability, Opportunity, Motivation, Behaviour (COM-B) model. RESULTS: Thirty studies were included in the review, including quantitative, qualitative, and mixed methods research. The synthesis identified 12 of the 14 Theoretical Domains Framework domains, with knowledge, social influences, beliefs about consequences, and beliefs about capabilities the most prevalent. Although knowledge appears to be an important contributor to adherence with prevention guidelines, knowledge alone does not appear sufficient to achieve concordance. A concordant relationship was facilitated by healthcare professionals' knowledge, motivation to work alongside patients and their priorities, and interpersonal skills to build rapport and trust, whilst barriers included lack of healthcare professional skills to navigate sensitive issues, paternalistic views of patient compliance and organisational processes that impact building rapport. CONCLUSIONS: Several psychosocial factors may affect the ability to achieve concordance between individuals, caregivers and healthcare professionals with pressure ulcer prevention guidelines in the community. However, data regarding the efficacy of behaviour change interventions targeting these constructs is limited, with further research required to guide intervention development in this area.

The Interactive Effects of Post-Traumatic Stress Symptoms and Breathlessness on Fatigue Severity in Post-COVID-19 Syndrome.

BACKGROUND: Post-traumatic stress symptoms (PTSS) and breathlessness have been well documented in the acute phase of COVID-19 as well as in Post-COVID-19 Syndrome (PCS), commonly known as Long-COVID. The present study aimed to explore whether PTSS and breathlessness interact to exacerbate fatigue among individuals recovering from PCS, similar to the effects evidenced in other health conditions that feature respiratory distress.. METHODS: Outcome measures were collected from 154 participants reporting persistent fatigue following acute COVID-19 infection who were enrolled in a 7-week rehabilitation course provided by the Primary Care Wellbeing Service (PCWBS) in Bradford District Care NHS Foundation Trust (BDCFT). RESULTS: Hierarchical multiple linear regression revealed that fatigue severity was associated with a significant interaction between PTSS and breathlessness, even when controlling for pre-COVID health related quality of life (HRQoL), age, symptom duration and hospital admittance during the acute phase. Furthermore, improvements in fatigue following rehabilitation were significantly associated with improvements in PTSS. CONCLUSIONS: PTSS may be an important therapeutic target in multidisciplinary rehabilitation for reducing fatigue in the recovery from PCS. It is therefore important that treatment for PCS takes a biopsychosocial approach to recovery, putting emphasis on direct and indirect psychological factors which may facilitate or disrupt physical recovery. This highlights the need for all PCS clinics to screen for PTSD and if present, target as a priority in treatment to maximise the potential for successful rehabilitation.

Social Media Use and Vulnerable Narcissism: The Differential Roles of Oversensitivity and Egocentricity.

Narcissism is a multi-dimensional personality trait characterised by grandiosity, vanity, low empathy, and a desire for admiration. Previous research has suggested that social media sites are ideal platforms for people with narcissistic traits to satisfy a desire for attention. However, less is understood about the relationship between social media and vulnerable narcissism, characterised by vulnerability, insecurity, and oversensitivity. A total of 115 participants completed the Hypersensitive Narcissism Scale (HSNS) and questions relating to social media use. Exploratory and confirmatory factor analysis supported a two-factor model of vulnerable narcissism; oversensitivity and egocentrism. Results showed that greater oversensitivity was significantly associated with greater scores in all six aspects of social media use. Specifically, time spent on social media, frequency of posts, concerns about numbers of likes and comments, being overly sensitive about negative remarks, feelings of jealousy, and a greater difference in how they portray themselves on social media compared to real life. Egocentricity was significantly associated with less concern over negative remarks and a greater difference in how they portray themselves on social media compared to real life. These results suggest that vulnerable narcissism is not a unitary trait and that subfactors oversensitivity and egocentricity contribute differentially to aspects of social media use.

#EEGManyLabs: Investigating the replicability of influential EEG experiments.

There is growing awareness across the neuroscience community that the replicability of findings about the relationship between brain activity and cognitive phenomena can be improved by conducting studies with high statistical power that adhere to well-defined and standardised analysis pipelines. Inspired by recent efforts from the psychological sciences, and with the desire to examine some of the foundational findings using electroencephalography (EEG), we have launched #EEGManyLabs, a large-scale international collaborative replication effort. Since its discovery in the early 20th century, EEG has had a profound influence on our understanding of human cognition, but there is limited evidence on the replicability of some of the most highly cited discoveries. After a systematic search and selection process, we have identified 27 of the most influential and continually cited studies in the field. We plan to directly test the replicability of key findings from 20 of these studies in teams of at least three independent laboratories. The design and protocol of each replication effort will be submitted as a Registered Report and peer-reviewed prior to data collection. Prediction markets, open to all EEG researchers, will be used as a forecasting tool to examine which findings the community expects to replicate. This project will update our confidence in some of the most influential EEG findings and generate a large open access database that can be used to inform future research practices. Finally, through this international effort, we hope to create a cultural shift towards inclusive, high-powered multi-laboratory collaborations.

Deficits in recognizing female facial expressions related to social network in cocaine-addicted men.

BACKGROUND: The ability to accurately recognise facial expressions of emotion is crucial for social functioning and maintaining healthy relationships. Recognising the emotional state of others allows us to respond to their needs and adjust our behaviour appropriately. Impairments in facial affect recognition have been reported in chronic cocaine users but little is known whether these contribute to their difficulties in social situations. METHODS: We assessed facial emotional expression recognition in forty-five men with cocaine use disorder (CUD) and forty-four healthy control participants. Using standardised questionnaires, we also collected information on perceived social support, social provision and community integration. RESULTS: Our results found that male cocaine users had greater difficulty in recognising female emotional facial expressions than male controls. This effect was not explained by demographic variables but it was associated with their social network; including social support, social provisions and community integration. CONCLUSION: Our findings suggest that men with CUD have greater difficulty in identifying emotional expression in female faces, which is linked with their social support networks. This may play an important role in misunderstanding non-verbal communications that contribute to destabilising friendship and family ties typically seen in drug addiction. Addressing deficits in recognising female emotional expressions may be an important piece of information for counselling and other interventions.

Psychometric Properties and Validation of the EMOTICOM Test Battery in a Healthy Danish Population.

Disruptions in hot cognition, i.e., the processing of emotionally salient information, are prevalent in most neuropsychiatric disorders and constitute a potential treatment target. EMOTICOM is the first comprehensive neuropsychological test battery developed specifically to assess hot cognition. The aim of the study was to validate and establish a Danish language version and reference data for the EMOTICOM test battery. To evaluate the psychometric properties of 11 EMOTICOM tasks, we collected data from 100 healthy Danish participants (50 males, 50 females) including retest data from 49 participants. We assessed test-retest reliability, floor and ceiling effects, task-intercorrelations, and correlations between task performance and relevant demographic and descriptive factors. We found that test-retest reliability varied from poor to excellent while some tasks exhibited floor or ceiling effects. Intercorrelations among EMOTICOM task outcomes were low, indicating that the tasks capture different cognitive constructs. EMOTICOM task performance was largely independent of age, sex, education, and IQ as well as current mood, personality, and self-reported motivation and diligence during task completion. Overall, many of the EMOTICOM tasks were found to be useful and objective measures of hot cognition although select tasks may benefit from modifications to avoid floor and ceiling effects in healthy individuals.

Cooperative Behavior in the Ultimatum Game and Prisoner's Dilemma Depends on Players' Contributions.

Economic games such as the Ultimatum Game (UG) and Prisoner's Dilemma (PD) are widely used paradigms for studying fairness and cooperation. Monetary versions of these games involve two players splitting an arbitrary sum of money. In real life, however, people's propensity to engage in cooperative behavior depends on their effort and contribution; factors that are well known to affect perceptions of fairness. We therefore sought to explore the impact of relative monetary contributions by players in the UG and PD. Adapted computerized UG and PD games, in which relative contributions from each player were manipulated, were administered to 200 participants aged 18-50 years old (50% female). We found that players' contribution had large effects on cooperative behavior. Specifically, cooperation was greater amongst participants when their opponent had contributed more to joint earnings. This was manifested as higher acceptance rates and higher offers in the UG; and fewer defects in the PD compared to when the participant contributed more. Interestingly, equal contributions elicited the greatest sensitivity to fairness in the UG, and least frequent defection in the PD. Acceptance rates correlated positively with anxiety and sex differences were found in defection behavior. This study highlights the feasibility of computerized games to assess cooperative behavior and the importance of considering cooperation within the context of effortful contribution.

EMOTICOM: A Neuropsychological Test Battery to Evaluate Emotion, Motivation, Impulsivity, and Social Cognition.

In mental health practice, both pharmacological and non-pharmacological treatments are aimed at improving neuropsychological symptoms, including cognitive and emotional impairments. However, at present there is no established neuropsychological test battery that comprehensively covers multiple affective domains relevant in a range of disorders. Our objective was to generate a standardized test battery, comprised of existing, adapted and novel tasks, to assess four core domains of affective cognition (emotion processing, motivation, impulsivity and social cognition) in order to facilitate and enhance treatment development and evaluation in a broad range of neuropsychiatric disorders. The battery was administered to 200 participants aged 18-50 years (50% female), 42 of whom were retested in order to assess reliability. An exploratory factor analysis identified 11 factors with eigenvalues greater than 1, which accounted for over 70% of the variance. Tasks showed moderate to excellent test-retest reliability and were not strongly correlated with demographic factors such as age or IQ. The EMOTICOM test battery is therefore a promising tool for the assessment of affective cognitive function in a range of contexts.

Differential effects of reward and punishment in decision making under uncertainty: a computational study.

Computational models of learning have proved largely successful in characterizing potential mechanisms which allow humans to make decisions in uncertain and volatile contexts. We report here findings that extend existing knowledge and show that a modified reinforcement learning model, which has separate parameters according to whether the previous trial gave a reward or a punishment, can provide the best fit to human behavior in decision making under uncertainty. More specifically, we examined the fit of our modified reinforcement learning model to human behavioral data in a probabilistic two-alternative decision making task with rule reversals. Our results demonstrate that this model predicted human behavior better than a series of other models based on reinforcement learning or Bayesian reasoning. Unlike the Bayesian models, our modified reinforcement learning model does not include any representation of rule switches. When our task is considered purely as a machine learning task, to gain as many rewards as possible without trying to describe human behavior, the performance of modified reinforcement learning and Bayesian methods is similar. Others have used various computational models to describe human behavior in similar tasks, however, we are not aware of any who have compared Bayesian reasoning with reinforcement learning modified to differentiate rewards and punishments.

Different varieties of uncertainty in human decision-making.

The study of uncertainty in decision-making is receiving greater attention in the fields of cognitive and computational neuroscience. Several lines of evidence are beginning to elucidate different variants of uncertainty. Particularly, risk, ambiguity, and expected and unexpected forms of uncertainty are well articulated in the literature. In this article we review both empirical and theoretical evidence arguing for the potential distinction between three forms of uncertainty; expected uncertainty, unexpected uncertainty, and volatility. Particular attention will be devoted to exploring the distinction between unexpected uncertainty and volatility which has been less appreciated in the literature. This includes evidence mainly from neuroimaging, neuromodulation, and electrophysiological studies. We further address the possible differentiation of cognitive control mechanisms used to deal with these forms of uncertainty. Finally, we explore whether the dual modes of control theory provides a theoretical framework for understanding the distinction between unexpected uncertainty and volatility.

Electrophysiological correlates of decision making under varying levels of uncertainty.

When making decisions we are often faced with uncertainty about the potential outcomes of a choice. We therefore must rely upon a stimulus-response-outcome (S-R-O) rule learned from previous experiences of gains and losses. Here we report a study that used event-related potentials (ERP) to examine the neural and cognitive mechanisms involved in decision making when S-R-O rules are changing in a volatile manner. Thirty-one participants engaged in a reward-based decision-making task in which two contextual determinants of decision uncertainty were independently manipulated: Volatility (i.e. the frequency of changes in the S-R-O rules) and Feedback validity (i.e. the extent to which an S-R-O rule accurately predicts outcomes). Results of stimulus-locked ERPs showed that volatility of S-R-O rules was associated with two well-known neural signatures of cognitive control processes. First, increased S-R-O volatility in a high FV context was associated with frontally-based N2 (200-350ms) and N400 (350-500ms) components. Second, in a low FV context, volatility was associated with an enhanced late positive complex (LPC, 500-800ms) largest on frontal sites. Feedback-locked ERPs showed an enhanced Feedback-Related Negativity (FRN) and P300 for losses compared to wins as well as a volatility driven FRN. These results suggest that, in a high FV context, coping with volatility might involve conflict monitoring processes. However, in a low FV context, coping with frequent changes in the S-R-O rule might require greater attentional and working memory (WM) resources.

Uncertainty and cognitive control.

A growing trend of neuroimaging, behavioral, and computational research has investigated the topic of outcome uncertainty in decision-making. Although evidence to date indicates that humans are very effective in learning to adapt to uncertain situations, the nature of the specific cognitive processes involved in the adaptation to uncertainty are still a matter of debate. In this article, we reviewed evidence suggesting that cognitive control processes are at the heart of uncertainty in decision-making contexts. Available evidence suggests that: (1) There is a strong conceptual overlap between the constructs of uncertainty and cognitive control; (2) There is a remarkable overlap between the neural networks associated with uncertainty and the brain networks subserving cognitive control; (3) The perception and estimation of uncertainty might play a key role in monitoring processes and the evaluation of the "need for control"; (4) Potential interactions between uncertainty and cognitive control might play a significant role in several affective disorders.