Interpersonal and individual effects of an app-based Christian and Islamic heart meditation intervention in healthy adults: protocol of a stratified randomised controlled trial

Background: The academic development and widespread adoption of meditation practices for well-being and therapy have predominantly focused on secularised adaptations of Buddhist and Hindu techniques. This study aims to expand the field by investigating Christian and Islamic meditation that emphasize the spiritual significance of the heart through elements of visualisation and recitation. It compares the effects of spiritual heart-centred meditation with mindfulness meditation and a waitlist control, focusing on dimensions of social functioning, psychophysiology, cognition, and mental health. Method: This study employs a stratified 3-arm randomised controlled method with mixed-method repeated measures across three assessment time points: before intervention (T1), after an 8-week intervention (T2), and at a 3-month follow up (T3). The three conditions include spiritual meditation (either Christian or Islamic), mindfulness meditation (Mindfulness-Based Stress Reduction – MBSR), and a waitlist. Participants will be stratified into Christian and Muslim samples and randomly allocated to the spiritual meditation, MBSR, or waitlist control conditions. Importantly, participants assigned to the spiritual meditation condition will be matched to the spiritual meditation program corresponding to their religion. The intervention will be administered through a mobile phone app with daily 20-minute guided meditation sessions for eight weeks. Primary outcomes pertain to the domain of interpersonal functioning, focusing on prosociality, forgiveness, empathy, and perspective taking. Secondary outcomes include physiology: pain tolerance, pain intensity, stress reactivity assessed via heart rate (HR) and heart rate variability (HRV), psychophysiological reactivity associated with a forgiveness task as measured through HR and HRV, attention (alerting, orienting, and executive attention networks), and mental health (stress, depression, anxiety, subjective well-being, positive and negative affect). Discussion: This trial aims to test the effects of an app-based Christian and Islamic meditation, compared to secular mindfulness and a waitlist, using a randomised controlled trial. If the results yield positive outcomes, this study will support the efficacy of these contemplations, offering practitioners a way to enhance their well-being within their religious framework. Trial registration: ClinicalTrials.gov, NCT06136676. Registered on 18 November 2023. https://clinicaltrials.gov/study/NCT06136676

Individual differences in meditation interventions: A meta-analytic study

OBJECTIVES: Meditation interventions typically show small to moderate effects on health and well‐being, but we know little about how these effects vary across individuals. This meta‐analytic study investigates the relationship between baseline participant characteristics and the outcomes of meditation. METHODS: A systematic search yielded 51 eligible studies with 7782 participants. A combination of subgroup analyses and meta‐regression based on the random‐effects model were used. RESULTS: We found that a higher baseline level of psychopathology or depression was associated with deterioration in mental health after a meditation intervention. On the other hand, participants with higher scores on interpersonal variables, motivation, medical conditions, and mindfulness showed higher levels of positive meditation outcomes. Higher well‐being and stress were simultaneously associated with moderate increases in negative and positive meditation outcomes. Participant demographics, psychological traits, self‐concept, and length of meditation practice did not significantly influence the response to meditation. CONCLUSIONS: Overall, we found that meditation interventions affect participants differently, and identified some of the individual characteristics that should be considered when using meditation interventions

Aggressive and psychopathic traits are linked to the acquisition of stable but imprecise hostile expectations

Individuals with hostile expectations (HEX) anticipate harm from seemingly neutral or ambiguous stimuli. However, it is unclear how HEX are acquired, and whether specific components of HEX learning can predict antisocial thought, conduct, and personality. In an online sample of healthy young individuals (n = 256, 69% women), we administered a virtual shooting task and applied computational modelling of behaviour to investigate HEX learning and its constellation of correlates. HEX acquisition was best explained by a hierarchical reinforcement learning mechanism. Crucially, we found that individuals with relatively higher self-reported aggressiveness and psychopathy developed stronger and less accurate hostile beliefs as well as larger prediction errors. Moreover, aggressive and psychopathic traits were associated with more temporally stable hostility representations. Our study thus shows that aggressiveness and psychopathy are linked with the acquisition of robust yet imprecise hostile beliefs through reinforcement learning

Mapping the Association of Global Executive Functioning Onto Diverse Measures of Psychopathic Traits

Psychopathic individuals display a callous-coldhearted approach to interpersonal and affective situations and engage in impulsive and antisocial behaviors. Despite early conceptualizations suggesting that psychopathy is related to enhanced cognitive functioning, research examining executive functioning (EF) in psychopathy has yielded few such findings. It is possible that some psychopathic trait dimensions are more related to EF than others. Research using a 2-factor or 4-facet model of psychopathy highlights some dimension-specific differences in EF, but this research is limited in scope. Another complicating factor in teasing apart the EF–psychopathy relationship is the tendency to use different psychopathy assessments for incarcerated versus community samples. In this study, an EF battery and multiple measures of psychopathic dimensions were administered to a sample of male prisoners (N

Examining Individual Differences in Social Reward Valuation: a Person-Based Approach

Social reward refers to the motivational and pleasurable aspects of our interactions with other people. While some people experience social encounters as pleasurable, others experience them as aversive. However, the current knowledge on individual differences in social reward valuation in relation to pro- and antisocial personality characteristics is limited. The Social Reward Questionnaire (SRQ) was developed to assess individual differences in the value of different types of social rewards. First, the present study examined the validity and reliability of the Dutch version of the SRQ in a Dutch and Flemish community sample (N = 1892). Second, using latent profile analysis (LPA), it was investigated whether subgroups of participants existed with distinctive patterns of social reward valuation, and whether these subgroups differed in their level of psychopathic traits, aggression, and social anxiety. The results confirmed the original six-factor structure and showed good reliability and validity. The LPA identified four classes of individuals, labelled as: Low Social Interest, High Social Interest, Undifferentiated Social Reward-seekers, and Socially Cruel. These classes were further typified by distinct levels of psychopathy, reactive and proactive aggression, and social anxiety. The present findings contribute to our understanding of individual variability in the underlying motives of social behaviors

Impaired Punishment Learning in Conduct Disorder

Objective: Conduct disorder (CD) has been associated with deficits in the use of punishment to guide reinforcement learning (RL) and decision making. This may explain the poorly planned and often impulsive antisocial and aggressive behavior in affected youths. Here, we used a computational modeling approach to examine differences in RL abilities between CD youths and typically developing controls (TDCs). Specifically, we tested 2 competing hypotheses that RL deficits in CD reflect either reward dominance (also known as reward hypersensitivity) or punishment insensitivity (also known as punishment hyposensitivity). Method: The study included 92 CD youths and 130 TDCs (aged 9-18 years, 48% girls) who completed a probabilistic RL task with reward, punishment, and neutral contingencies. Using computational modeling, we investigated the extent to which the 2 groups differed in their learning abilities to obtain reward and/or to avoid punishment. Results: RL model comparisons showed that a model with separate learning rates per contingency explained behavioral performance best. Importantly, CD youths showed lower learning rates than TDCs specifically for punishment, whereas learning rates for reward and neutral contingencies did not differ. Moreover, callous-unemotional (CU) traits did not correlate with learning rates in CD. Conclusion: CD youths have a highly selective impairment in probabilistic punishment learning, regardless of their CU traits, whereas reward learning appears to be intact. In summary, our data suggest punishment insensitivity rather than reward dominance in CD. Clinically, the use of punishment-based intervention techniques to achieve effective discipline in patients with CD may be a less helpful strategy than reward-based techniques.</p

Impaired Punishment Learning in Conduct Disorder

Objective: Conduct disorder (CD) has been associated with deficits in the use of punishment to guide reinforcement learning (RL) and decision making. This may explain the poorly planned and often impulsive antisocial and aggressive behavior in affected youths. Here, we used a computational modeling approach to examine differences in RL abilities between CD youths and typically developing controls (TDCs). Specifically, we tested 2 competing hypotheses that RL deficits in CD reflect either reward dominance (also known as reward hypersensitivity) or punishment insensitivity (also known as punishment hyposensitivity). Method: The study included 92 CD youths and 130 TDCs (aged 9-18 years, 48% girls) who completed a probabilistic RL task with reward, punishment, and neutral contingencies. Using computational modeling, we investigated the extent to which the 2 groups differed in their learning abilities to obtain reward and/or to avoid punishment. Results: RL model comparisons showed that a model with separate learning rates per contingency explained behavioral performance best. Importantly, CD youths showed lower learning rates than TDCs specifically for punishment, whereas learning rates for reward and neutral contingencies did not differ. Moreover, callous-unemotional (CU) traits did not correlate with learning rates in CD. Conclusion: CD youths have a highly selective impairment in probabilistic punishment learning, regardless of their CU traits, whereas reward learning appears to be intact. In summary, our data suggest punishment insensitivity rather than reward dominance in CD. Clinically, the use of punishment-based intervention techniques to achieve effective discipline in patients with CD may be a less helpful strategy than reward-based techniques.</p

Unfair offers, unfair offenders? Fairness considerations in incarcerated individuals with and without psychopathy

Contains fulltext : 116754.pdf (publisher's version ) (Open Access)Offenders with psychopathy have often committed crimes violating social norms, which may suggest a biased moral reasoning in psychopathy. Yet, as findings on utilitarian decisions remain conflicting, the current study investigated different aspects of fairness considerations in offenders with psychopathy, offenders without psychopathy and healthy individuals (N = 18/14/18, respectively). Unfair offers in a modified Ultimatum Game (UG) were paired with different unselected alternatives, thereby establishing the context of a proposal, and made under opposing intentionality constraints (intentional vs. unintentional). As in previous studies, unfair offers were most often rejected when the alternative was fair and when the offer was made intentionally. Importantly, however, offenders with psychopathy demonstrated a similar rejection pattern to that of healthy individuals, i.e., taking the unselected alternative into account. In contrast, delinquents without psychopathy did not adjust their decision behavior to the alternatives to an offer, suggesting stronger impairments in social decision-making. Crucially, the mechanisms and processes underlying rejection decisions might differ, particularly with regard to cognitive vs. emotional competencies. While preserved cognitive perspective-taking could drive seemingly intact decision patterns in psychopathy, emotional empathy is likely to be compromised.7 p