Investigating the Face Inversion Effect in Autism Across Behavioral and Neural Measures of Face Processing: A Systematic Review and Bayesian Meta-Analysis

Spatiotemporal Eye Movement Dynamics Reveal Altered Face Prioritization in Early Visual Processing Among Autistic Children

BACKGROUND

Reduced social attention-looking at faces-is one of the most common manifestations of social difficulty in autism that is central to social development. Although reduced social attention is well characterized in autism, qualitative differences in how social attention unfolds across time remains unknown.

METHODS

We used a computational modeling (i.e., hidden Markov modeling) approach to assess and compare the spatiotemporal dynamics of social attention in a large, well-characterized sample of children with autism (n = 280) and neurotypical children (n = 119) (ages 6-11) who completed 3 social eye-tracking assays at 3 longitudinal time points (baseline, 6 weeks, 24 weeks).

RESULTS

Our analysis supported the existence of 2 common eye movement patterns that emerged across 3 eye-tracking assays. A focused pattern was characterized by small face regions of interest, which had high a probability of capturing fixations early in visual processing. In contrast, an exploratory pattern was characterized by larger face regions of interest, with a lower initial probability of fixation and more nonsocial regions of interest. In the context of social perception, children with autism showed significantly more exploratory eye movement patterns than neurotypical children across all social perception assays and all 3 longitudinal time points. Eye movement patterns were associated with clinical features of autism, including adaptive function, face recognition, and autism symptom severity.

CONCLUSIONS

Decreased likelihood of precisely looking at faces early in social visual processing may be an important feature of autism that is associated with autism-related symptomology and may reflect less visual sensitivity to face information.

Eyes are windows to the brain: Capturing eye movements to better understand face processing in autism

Capturing eye movements to better understand face processing in autism.

Autistic traits specific to communication ability are associated with performance on a Mooney face detection task

Difficulties in global face processing have been associated with autism. However, autism is heterogenous, and it is not known which dimensions of autistic traits are implicated in face-processing difficulties. To address this gap in knowledge, we conducted two experiments to examine how identification of Mooney face stimuli (stylized, black-and-white images of faces without details) related to the six subscales of the Comprehensive Autistic Trait Inventory in young adults. In Experiment 1, regression analyses indicated that participants with poorer communication skills had lower task sensitivity when discriminating between face-present and face-absent images, whilst other autistic traits had no unique predictive value. Experiment 2 replicated these findings and additionally showed that autistic traits were linked to a reduced face inversion effect. Taken together, these results indicate autistic traits, especially communication difficulties, are associated with reduced configural processing of face stimuli. It follows that both reduced sensitivity for identifying upright faces amongst similar-looking distractors and reduced susceptibility to face inversion effects may be linked to relatively decreased reliance on configural processing of faces in autism. This study also reinforces the need to consider the different facets of autism independently.

How is race perceived during adolescence? A meta-analysis of the own-race bias

Adolescence is a critical developmental period that is marked by drastic changes in face recognition, which are reflected in patterns of bias (i.e., superior recognition for some individuals compared to others). Here, we evaluate how race is perceived during face recognition and whether adolescents exhibit an own-race bias (ORB). We conducted a Bayesian meta-analysis to estimate the summary effect size of the ORB across 16 unique studies (38 effect sizes) with 1,321 adolescent participants between the ages of ∼10-22 years of age. This meta-analytic approach allowed us to inform the analysis with prior findings from the adult literature and evaluate how well they fit the adolescent literature. We report a positive, small ORB (Hedges's g = 0.24) that was evident under increasing levels of uncertainty in the analysis. The magnitude of the ORB was not systematically impacted by participant age or race, which is inconsistent with predictions from perceptual expertise and social cognitive theories. Critically, our findings are limited in generalizability by the study samples, which largely include White adolescents in White-dominant countries. Future longitudinal studies that include racially diverse samples and measure social context, perceiver motivation, peer reorientation, social network composition, and ethnic-racial identity development are critical for understanding the presence, magnitude, and relative flexibility of the ORB in adolescence. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Autistic Individuals Do Not Alter Visual Processing Strategy During Encoding Versus Recognition of Faces: A Hidden Markov Modeling Approach

PURPOSE

Visual face recognition-the ability to encode, discriminate, and recognize the faces of others-is fundamentally supported by eye movements and is a common source of difficulty for autistic individuals. We aimed to evaluate how visual processing strategies (i.e., eye movement patterns) directly support encoding and recognition of faces in autistic and neurotypical (NT) individuals.

METHODS

We used a hidden Markov modeling approach to evaluate the spatiotemporal dynamics of eye movements in autistic (n = 15) and neurotypical (NT) adolescents (n = 17) during a face identity recognition task.

RESULTS

We discovered distinct eye movement patterns among all participants, which included a focused and exploratory strategy. When evaluating change in visual processing strategy across encoding and recognition phases, autistic individuals did not shift their eye movement patterns like their NT peers, who shifted to a more exploratory visual processing strategy during recognition.

CONCLUSION

These findings suggest that autistic individuals do not modulate their visual processing strategy across encoding and recognition of faces, which may be an indicator of less efficient face processing.