Social cognition remediation interventions: A systematic mapping review

Fernández-Sotos, Patricia; Torío, Iosune; Fernández-Caballero, Antonio; Navarro, Elena; González, Pascual; Dompablo, Mónica; Rodríguez‐Jiménez, Roberto

doi:10.1371/journal.pone.0218720

Cited by 49 publications

(33 citation statements)

References 75 publications

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“…This non-specific association suggests that mentalizing is decreased when mental health decreases. Possibly for this reason, mentalization is commonly targeted to restore mental health, making it a common factor in most psychological treatments ( Allen et al, 2008 ; Fernández-Sotos et al, 2019 ). Taken together, this evidence suggests that mentalization is a key factor for mental health.…”

Section: Introductionmentioning

confidence: 99%

Self and Other Mentalizing Polarities and Dimensions of Mental Health: Association With Types of Symptoms, Functioning and Well-Being

et al. 2021

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Research suggests that the ability to understand one’s own and others’ minds, or mentalizing, is a key factor for mental health. Most studies have focused the attention on the association between global measures of mentalizing and specific disorders. In contrast, very few studies have analyzed the association between specific mentalizing polarities and global measures of mental health. This study aimed to evaluate whether self and other polarities of mentalizing are associated with a multidimensional notion of mental health, which considers symptoms, functioning, and well-being. Additionally, the level or depth of mentalizing within each polarity was also analyzed. A sample of 214 adolescents (12–18 years old, M = 14.7, and SD = 1.7; 53.3% female) was evaluated on measures of self- (Trait Meta-Mood Scale or TMMS-24) and other- mentalizing (Adolescent Mentalizing Interview or AMI), multi-informed measures of psychopathology and functioning based on Achenbach’s system, and measures of psychological well-being (self-esteem, happiness, and motivation to life goals). Results revealed no association between mentalizing polarities and higher-order symptom factors (internalizing, externalizing, and global symptoms or “p” factor). Self-mentalizing was associated with self-esteem (B = 0.076, p < 0.0005) and motivation to life goals (B = 0.209, p = 0.002), and other-mentalizing was associated to general, social and role functioning (B = 0.475, p < 0.0005; B = 0.380, p = 0.005; and B = 0.364, p = 0.004). This association between aspects of self-other mentalizing and self-other function has important implications for treatment and prevention. Deeper mentalizing within each polarity (i.e., comprehension beyond simple attention to one’s own mental states, and mentalizing referred to attachment figures vs. mentalizing referred to the characters of a story) revealed stronger associations with functioning and well-being. Because mentalizing polarities are associated with functioning and well-being but not with symptoms, a new hypothesis is developed: mentalizing does not contribute to resiliency by preventing symptoms, but by helping to deal with them, thus improving functioning and well-being independently of psychopathology. These findings support that promoting mentalizing across development may improve mental health, even in non-clinical population.

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Section: Introductionmentioning

confidence: 99%

Self and Other Mentalizing Polarities and Dimensions of Mental Health: Association With Types of Symptoms, Functioning and Well-Being

et al. 2021

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“…The ability to identify emotions on others' faces is crucial for effective social interaction [1][2][3]. Emotional facial expressions convey relevant information about others and oneself and serve to regulate the environment, indicating people's intentions and behaviours [4,5].…”

Section: Introductionmentioning

confidence: 99%

Validation of dynamic virtual faces for facial affect recognition

et al. 2021

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The ability to recognise facial emotions is essential for successful social interaction. The most common stimuli used when evaluating this ability are photographs. Although these stimuli have proved to be valid, they do not offer the level of realism that virtual humans have achieved. The objective of the present paper is the validation of a new set of dynamic virtual faces (DVFs) that mimic the six basic emotions plus the neutral expression. The faces are prepared to be observed with low and high dynamism, and from front and side views. For this purpose, 204 healthy participants, stratified by gender, age and education level, were recruited for assessing their facial affect recognition with the set of DVFs. The accuracy in responses was compared with the already validated Penn Emotion Recognition Test (ER-40). The results showed that DVFs were as valid as standardised natural faces for accurately recreating human-like facial expressions. The overall accuracy in the identification of emotions was higher for the DVFs (88.25%) than for the ER-40 faces (82.60%). The percentage of hits of each DVF emotion was high, especially for neutral expression and happiness emotion. No statistically significant differences were discovered regarding gender. Nor were significant differences found between younger adults and adults over 60 years. Moreover, there is an increase of hits for avatar faces showing a greater dynamism, as well as front views of the DVFs compared to their profile presentations. DVFs are as valid as standardised natural faces for accurately recreating human-like facial expressions of emotions.

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“…Moreover, we believe that physiological computing has not exploited all its abilities and has not yet reached its full potential. In addition, the design of physiological computing applications in the field of social cognition is only at a starting moment (Fernández-Sotos et al, 2019; García et al, 2019). We foresee a vast growth of solutions using the social cognition/physiological computing binomial in the near future.…”

Section: Discussionmentioning

confidence: 99%