Motor Signature Differences between Autism Spectrum Disorder and Developmental Coordination Disorder, and Their Neural Mechanisms
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| Title: | Motor Signature Differences between Autism Spectrum Disorder and Developmental Coordination Disorder, and Their Neural Mechanisms |
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| Language: | English |
| Authors: | Christiana Butera, Jonathan Delafield-Butt, Szu-Ching Lu, Krzysztof Sobota, Timothy McGowan, Laura Harrison, Emily Kilroy, Aditya Jayashankar, Lisa Aziz-Zadeh |
| Source: | Journal of Autism and Developmental Disorders. 2025 55(1):353-368. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2025 |
| Sponsoring Agency: | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (DHHS/NIH) |
| Contract Number: | R01HD07943201A1 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Autism Spectrum Disorders, Developmental Disabilities, Psychomotor Skills, Children, Adolescents, Symptoms (Individual Disorders), Neurological Impairments, Brain Hemisphere Functions, Classification |
| DOI: | 10.1007/s10803-023-06171-8 |
| ISSN: | 0162-3257 1573-3432 |
| Abstract: | Autism spectrum disorder (ASD) and Developmental Coordination Disorder (DCD) are distinct clinical groups with overlapping motor features. We attempted to (1) differentiate children with ASD from those with DCD, and from those typically developing (TD) (ages 8-17; 18 ASD, 16 DCD, 20 TD) using a 5-min coloring game on a smart tablet and (2) identify neural correlates of these differences. We utilized standardized behavioral motor assessments (e.g. fine motor, gross motor, and balance skills) and video recordings of a smart tablet task to capture any visible motor, behavioral, posture, or engagement differences. We employed machine learning analytics of motor kinematics during a 5-min coloring game on a smart tablet. Imaging data was captured using functional magnetic resonance imaging (fMRI) during action production tasks. While subject-rated motor assessments could not differentiate the two clinical groups, machine learning computational analysis provided good predictive discrimination: between TD and ASD (76% accuracy), TD and DCD (78% accuracy), and ASD and DCD (71% accuracy). Two kinematic markers which strongly drove categorization were significantly correlated with cerebellar activity. Findings demonstrate unique neuromotor patterns between ASD and DCD relate to cerebellar function and present a promising route for computational techniques in early identification. These are promising preliminary results that warrant replication with larger samples. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1460707 |
| Database: | ERIC |
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| Abstract: | Autism spectrum disorder (ASD) and Developmental Coordination Disorder (DCD) are distinct clinical groups with overlapping motor features. We attempted to (1) differentiate children with ASD from those with DCD, and from those typically developing (TD) (ages 8-17; 18 ASD, 16 DCD, 20 TD) using a 5-min coloring game on a smart tablet and (2) identify neural correlates of these differences. We utilized standardized behavioral motor assessments (e.g. fine motor, gross motor, and balance skills) and video recordings of a smart tablet task to capture any visible motor, behavioral, posture, or engagement differences. We employed machine learning analytics of motor kinematics during a 5-min coloring game on a smart tablet. Imaging data was captured using functional magnetic resonance imaging (fMRI) during action production tasks. While subject-rated motor assessments could not differentiate the two clinical groups, machine learning computational analysis provided good predictive discrimination: between TD and ASD (76% accuracy), TD and DCD (78% accuracy), and ASD and DCD (71% accuracy). Two kinematic markers which strongly drove categorization were significantly correlated with cerebellar activity. Findings demonstrate unique neuromotor patterns between ASD and DCD relate to cerebellar function and present a promising route for computational techniques in early identification. These are promising preliminary results that warrant replication with larger samples. |
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| ISSN: | 0162-3257 1573-3432 |
| DOI: | 10.1007/s10803-023-06171-8 |
