ArticleFrontiers in integrative neuroscience2024
Level of autistic traits in neurotypical adults predicts kinematic idiosyncrasies in their biological movements.
Article in Frontiers in integrative neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Broader autism phenotype, the default mode network, and brain entropy: A network-level hypothesis.Research in neurodiversity · 2026Article
- Affective meaning from unlabeled biological motion: Associations with social-perceptual sensitivity.PloS one · 2026Article
- Testing the relationships between facial emotion recognition, levels of Autistic traits, and eye gaze patterns.Frontiers in human neuroscience · 2026Article
- Postural sway dynamics in adults across the autism spectrum: a multifactor approach.Molecular autism · 2025Article
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5 authors.
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Abstract
Introduction: Over the last decade of research, a notable connection between autism spectrum disorder (ASD) and unique motor system characteristics has been identified, which may influence social communication through distinct movement patterns. In this study, we investigated the potential for features of the broader autism phenotype to account for kinematic idiosyncrasies in social movements expressed by neurotypical individuals. Methods: Fifty-eight participants provided recordings of point-light displays expressing three basic emotions and completed the Autism Spectrum Quotient (AQ). We extracted kinematic metrics from the biological movements using computer vision and applied linear mixed-effects modeling to analyze the relationship between these kinematic metrics and AQ scores. Results: Our results revealed that individual differences in the total AQ scores, and the sub-scale scores, significantly predicted variations in kinematic metrics representing order, volume, and magnitude. Discussion: The results of this study suggest that autistic traits may intricately influence the movement expressions at the microlevel, highlighting the need for a more nuanced understanding of the potential endophenotypic characteristics associated with social movements in neurotypical individuals.
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