Enhanced motor noise in an autism subtype with poor motor skills.

Publisher: BioMed Central Country of Publication: England NLM ID: 101534222 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-2392 (Electronic) NLM ISO Abbreviation: Mol Autism Subsets: MEDLINE

Original Publication: [London] : BioMed Central

Motor Skills* ; Autistic Disorder*/physiopathology; Humans ; Child ; Male ; Female ; Adolescent ; Child, Preschool ; Biomechanical Phenomena

Background: Motor difficulties are common in many, but not all, autistic individuals. These difficulties can co-occur with other problems, such as delays in language, intellectual, and adaptive functioning. Biological mechanisms underpinning such difficulties are less well understood. Poor motor skills tend to be more common in individuals carrying highly penetrant rare genetic mutations. Such mechanisms may have downstream consequences of altering neurophysiological excitation-inhibition balance and lead to enhanced behavioral motor noise.
Methods: This study combined publicly available and in-house datasets of autistic (n = 156), typically-developing (TD, n = 149), and developmental coordination disorder (DCD, n = 23) children (age 3-16 years). Autism motor subtypes were identified based on patterns of motor abilities measured from the Movement Assessment Battery for Children 2nd edition. Stability-based relative clustering validation was used to identify autism motor subtypes and evaluate generalization accuracy in held-out data. Autism motor subtypes were tested for differences in motor noise, operationalized as the degree of dissimilarity between repeated motor kinematic trajectories recorded during a simple reach-to-drop task.
Results: Relatively 'high' (n = 87) versus 'low' (n = 69) autism motor subtypes could be detected and which generalize with 89% accuracy in held-out data. The relatively 'low' subtype was lower in general intellectual ability and older at age of independent walking, but did not differ in age at first words or autistic traits or symptomatology. Motor noise was considerably higher in the 'low' subtype compared to 'high' (Cohen's d = 0.77) or TD children (Cohen's d = 0.85), but similar between autism 'high' and TD children (Cohen's d = 0.08). Enhanced motor noise in the 'low' subtype was also most pronounced during the feedforward phase of reaching actions.
Limitations: The sample size of this work is limited. Future work in larger samples along with independent replication is important. Motor noise was measured only on one specific motor task. Thus, a more comprehensive assessment of motor noise on many other motor tasks is needed.
Conclusions: Autism can be split into at least two discrete motor subtypes that are characterized by differing levels of motor noise. This suggests that autism motor subtypes may be underpinned by different biological mechanisms.
(© 2024. The Author(s).)

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GR-2011-02348929 Ministero della Salute; 755816 H2020 European Research Council; 101087263 HORIZON EUROPE European Research Council

Keywords: Clustering; Kinematics; Motor; Stratification; Subtypes

Date Created: 20240903 Date Completed: 20240904 Latest Revision: 20240913

20240914

PMC11370061

10.1186/s13229-024-00618-0

39228000