Altering sensorimotor simulation impacts early stages of facial expression processing depending on individual differences in alexithymic traits.

Simulation models of facial expressions suggest that posterior visual areas and brain areas underpinning sensorimotor simulations might interact to improve facial expression processing. According to these models, facial mimicry, a manifestation of sensorimotor simulation, may contribute to the visual processing of facial expressions by influencing early stages. The aim of this study was to assess whether and how sensorimotor simulation influences early stages of face processing, also investigating its relationship with alexithymic traits given that previous studies have suggested that individuals with high levels of alexithymic traits (vs. individuals with low levels of alexithymic traits) tend to use sensorimotor simulation to a lesser extent. We monitored P1 and N170 ERP components of the event-related potentials (ERP) in participants performing a fine discrimination task of facial expressions and animals, as a control condition. In half of the experiment, participants could freely use their facial mimicry whereas in the other half they had their facial mimicry blocked by a gel. Our results revealed that only individuals with lower compared to high alexithymic traits showed a larger modulation of the P1 amplitude as a function of the mimicry manipulation selectively for facial expressions (but not for animals), while we did not observe any modulation of the N170. Given the null results at the behavioural level, we interpreted the P1 modulation as compensative visual processing in individuals with low levels of alexithymia under conditions of interference on the sensorimotor processing, providing a preliminary evidence in favor of sensorimotor simulation models.

Alexithymic Traits and Somatic Symptoms in Children and Adolescents: a Screening Approach to Explore the Mediation Role of Depression.

The association among alexithymia, somatic symptoms and clinical correlates has been scantly investigated in children. The present study examined alexithymic features and somatic symptomatology in schoolchildren with high and low levels of depression, testing the role of depressive symptoms in mediating the associations between alexithymia and somatic symptoms. Seven-hundred schoolchildren were involved in this study and divided into two subgroups (8-10 years and 11-14 years) in order to test differences according to the age. Participants completed the Children's Somatization Inventory-24 for the assessment of somatic symptoms, the Alexithymia Questionnaire for Children to evaluate alexithymic features and the Children's Depression Inventory-2 to investigate depressive symptoms. Results showed that children with high levels of depression reported both higher alexithymia and somatic symptoms levels. Despite a direct effect of alexithymia on somatic symptoms, the mediation analyses also highlighted an indirect effect of alexythimia on somatic symptoms through depressive symptoms. Findings suggested that a depressive symptomatology may clarify why schoolchildren with high alexithymia scores tend to report higher levels of health problems. Results also support the possibility that depressive symptoms may contribute to the development of somatic symptomatology among schoolchildren in the presence of high levels of alexithymia.

Difficulties in facial emotion recognition: taking psychopathic and alexithymic traits into account.

BACKGROUND: Alexithymic and psychopathic traits are closely associated, but distinct constructs. Both have been associated with facial emotion processing deficits reflecting empathy deficits, however the underlying mechanism contributing to these deficits is not well-understood. METHODS: This study investigated facial emotion recognition performance in a non-clinical sample (N = 110) including both male and female participants, with varying levels of psychopathic and alexithymic traits. Facial emotion recognition was assessed using a computerized task, that presented different expressions depicting five emotional states (pain, fear, sadness, anger, happiness) and neutral expressions. RESULTS: Results suggest that the high psychopathic traits group reported lower accuracy compared to the low psychopathic traits group, indicating a more generalized deficit in facial affect recognition, across all emotions. The alexithymic groups (high vs. low) on the other hand did not differ in their performance on the task for any of the emotions presented. CONCLUSION: These findings add to the current body of research regarding face processing categorization deficits in relation to psychopathic and alexithymic traits and can inform prevention and intervention efforts that aim to facilitate facial emotion recognition in individuals with these personality traits.