Mindreading and metacognition patterns in patients with borderline personality disorder: experimental study

The role of family functioning: How the Big Five affect metacognitions about smartphone use

The present study aimed to explore the relationship between the Big Five and metacognitions about smartphone use and the mediating role of family functioning. A cohort of 470 Chinese college students was selected as subjects based on the second edition of the Big Five Inventory-2, the Chinese version of the Metacognitions about Smartphone Use Questionnaire, and the general functioning subscale of Family Assessment Device. The results showed that only neuroticism was significantly and positively correlated with positive metacognition, while the correlation between other personality traits and positive metacognition was not statistically significant. Except for openness, the correlation between other personality traits and negative metacognition was statistically significant. In addition, conscientiousness, extraversion, and neuroticism were found to directly affect negative metacognitions about smartphone use and indirectly affect the negative metacognitions about smartphone use through family functioning. Findings provide insights into the design of interventions aimed at improving metacognitions about smartphone use and preventing smartphone addiction among college students.

Reading language of the eyes

The need for assessment of social skills in clinical and neurotypical populations has led to the widespread, and still increasing use of the 'Reading the Mind in the Eyes Test' (RMET) developed more than two decades ago by Simon Baron-Cohen and colleagues for evaluation of social cognition in autism. By analyzing most recent clinical and brain imaging data, we illuminate a set of factors decisive for using the RMET. Converging evidence indicates: (i) In neurotypical individuals, RMET scores are tightly correlated with other social skills (empathy, emotional intelligence, and body language reading); (ii) The RMET assesses recognition of facial affect, but also heavily relies on receptive language skills, semantic knowledge, and memory; (iii) RMET performance is underwritten by the large-scale ensembles of neural networks well-outside the social brain; (iv) The RMET is limited in its capacity to differentiate between neuropsychiatric conditions as well as between stages and severity of a single disorder, though it reliably distinguishes individuals with altered social cognition or elevated pathological traits from neurotypical persons; (v) Merely gender (as a social construct) rather than neurobiological sex influences performance on the RMET; (vi) RMET scores do not substantially decline in healthy aging, and they are higher with higher education level, cognitive abilities, literacy, and mental well-being; (vii) Accuracy on the RMET, and engagement of the social brain, are greater when emotions are expressed and recognized by individuals with similar cultural/ethnic background. Further research is required to better inform usage of the RMET as a tool for swift and reliable examination of social cognition. In light of comparable visual input from the RMET images and faces covered by masks due to COVID-19 regulations, the analysis is of value for keeping efficient social interaction during the current pandemic, in particular, in professional settings related to social communication.