Understanding the nature of face processing in early autism: A prospective study

Area of Science:

• Neuroscience
• Developmental Psychology
• Psychopathology

Background:

• Dimensional approaches to psychopathology examine neurocognitive domains influencing symptoms.
• Prospective longitudinal studies are crucial for understanding neurodevelopmental disorders.
• Identifying individual-level alterations and phenotypic subgroups is key.

Purpose of the Study:

• To investigate the role of face processing in the emergence of autism spectrum disorder (ASD).
• To explore individual differences in neural processing of faces in infancy.
• To predict social traits and ASD diagnosis using neurocognitive markers.

Main Methods:

• Utilized an event-related potentials (ERPs) task in 8-month-old infants at high and low risk for ASD.
• Employed machine-learning for prediction and Bayesian hierarchical clustering for subgroup stratification.
• Combined traditional case-control comparisons with advanced analytical techniques.

Main Results:

• Broad alterations in infant face processing ERPs predicted later ASD diagnosis.
• Specific ERP features strongly predicted both social traits and ASD diagnosis.
• Identified two ASD subgroups with distinct face processing patterns and differing sensory sensitivities.

Conclusions:

• Individual infant differences in neural face processing in the first year predict ASD.
• Stratifying ASD cohorts by neural response patterns can reduce heterogeneity.
• This approach enhances understanding of neurodevelopmental mechanisms and outcomes.