"Reading the Mind in the Eyes" in Autistic Adults is Modulated by Valence and Difficulty: An InFoR Study

Assessing Theory of Mind in Children: A Tablet-Based Adaptation of a Classic Picture Sequencing Task

Correctly assessing children's theory of mind (TOM) is essential to clinical practice. Yet, most tasks heavily rely on language, which is an obstacle for several populations. Langdon and Coltheart's (Cognition 71(1):43-71, 1999) Picture Sequencing Task (PST), developed for research purposes, avoids this limitation through a minimally-verbal procedure. We thus developed a tablet adaptation of this task for individual application, engaging children's motivation and allowing response times collection. To assess this tablet-PST, we first tested a large sample of neurotypical children (6-11 years-old, N = 248), whose results confirmed the task's structural and content validity, and permitted the construction of three standardized clinical indices. In a second experiment, we applied those to previously diagnosed autistic children (N = 23), who were expected to show atypical TOM performance. Children's outcomes were consistent with what was hypothesized and confirmed the task's external validity and moderate clinical sensitivity. The tablet-PST thus appears as a suitable tool, providing detailed profiles to inform clinical decisions.

Ties between reading faces, bodies, eyes, and autistic traits

While reading covered with masks faces during the COVID-19 pandemic, for efficient social interaction, we need to combine information from different sources such as the eyes (without faces hidden by masks) and bodies. This may be challenging for individuals with neuropsychiatric conditions, in particular, autism spectrum disorders. Here we examined whether reading of dynamic faces, bodies, and eyes are tied in a gender-specific way, and how these capabilities are related to autistic traits expression. Females and males accomplished a task with point-light faces along with a task with point-light body locomotion portraying different emotional expressions. They had to infer emotional content of displays. In addition, participants were administered the Reading the Mind in the Eyes Test, modified and Autism Spectrum Quotient questionnaire. The findings show that only in females, inferring emotions from dynamic bodies and faces are firmly linked, whereas in males, reading in the eyes is knotted with face reading. Strikingly, in neurotypical males only, accuracy of face, body, and eyes reading was negatively tied with autistic traits. The outcome points to gender-specific modes in social cognition: females rely upon merely dynamic cues while reading faces and bodies, whereas males most likely trust configural information. The findings are of value for examination of face and body language reading in neuropsychiatric conditions, in particular, autism, most of which are gender/sex-specific. This work suggests that if male individuals with autistic traits experience difficulties in reading covered with masks faces, these deficits may be unlikely compensated by reading (even dynamic) bodies and faces. By contrast, in females, reading covered faces as well as reading language of dynamic bodies and faces are not compulsorily connected to autistic traits preventing them from paying high costs for maladaptive social interaction.

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.

Intolerance of Uncertainty and Challenges in Decision-making in Adults with High-Functioning Autism

<p style="text-align: justify;">Individuals with high-functioning autism have difficulties in decision-making in face of incomplete or ambiguous information, particularly in the context of social interaction. Tasks demanding an immediate response or deviation from the usual behavior make them feel excessive anxiety which restricts their social and professional activity. Attempts to camouflage their conservatism to others are one of the risk factors for comorbid depression. Therefore, they avoid new and non-routine situations, thus restricting their own social activity and professional development. On the other hand, insisting on sameness and clarity may give individuals with autism an advantage in long-lasting monotonous tasks. The aim of this review is to consider these symptoms from the perspective of predictive coding. A range of experimental studies has shown that most of the subjects with autism have difficulty in predicting the outcomes based on the cumulative history of interacting with the environment, as well as updating expectations as new evidence becomes available. These peculiarities of the analysis and pragmatic weighting of information may cause the trait intolerance of uncertainty and novelty avoidance of most people with autism.</p>