Autistic Brain Face Processing Differs From Childhood — SkimNews
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- Yale School of Medicine researchers published a study in Nature Mental Health showing that autistic children’s brain responses to faces are less distinct and do not specialize with age like neurotypical children’s do.
- James McPartland and team analyzed full-scalp EEG data from 128 electrodes across 400 autistic and neurotypical children, using machine learning to decode neural responses to faces and objects.
- Jason Griffin found that face-specific brain signals were less distinguishable in autistic children and showed no age-related refinement, indicating a divergent developmental trajectory in face processing.
- Autism Biomarkers Consortium for Clinical Trials (ABC-CT) provided the dataset enabling this large-scale analysis of temporal neural dynamics in autistic children across multiple age groups.
- N170 brain signal research is expanded upon, as the study shows face-processing differences in autism begin earlier in the visual processing timeline than previously detected by focusing only on this marker.
- Machine learning analysis revealed that brain activity patterns could identify face viewing more accurately in neurotypical children than in autistic children, with clarity increasing with age only in the former group.
Why it matters: This study identifies a measurable neurodevelopmental divergence in autistic children that appears early and persists, offering a potential biomarker for earlier, more objective autism assessments and challenging assumptions that social difficulties stem from experience rather than brain development patterns.
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