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.
Authors: Butera, Christiana, Delafield-Butt, Jonathan, Lu, Szu-Ching, Sobota, Krzysztof, McGowan, Timothy, Harrison, Laura, Kilroy, Emily, Jayashankar, Aditya, Aziz-Zadeh, Lisa
Source: Journal of Autism & Developmental Disorders. Jan2025, Vol. 55 Issue 1, p353-368. 16p.
Subjects: Motor ability, Research funding, Autism, Kinematics, Brain, Movement disorders, Magnetic resonance imaging, Pocket computers, Neurosciences, Descriptive statistics, Psychology of movement, Asperger's syndrome, Machine learning, Early diagnosis, Data analysis software, Video recording, Postural balance
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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Motor Signature Differences Between Autism Spectrum Disorder and Developmental Coordination Disorder, and Their Neural Mechanisms.
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  Data: <searchLink fieldCode="AR" term="%22Butera%2C+Christiana%22">Butera, Christiana</searchLink><br /><searchLink fieldCode="AR" term="%22Delafield-Butt%2C+Jonathan%22">Delafield-Butt, Jonathan</searchLink><br /><searchLink fieldCode="AR" term="%22Lu%2C+Szu-Ching%22">Lu, Szu-Ching</searchLink><br /><searchLink fieldCode="AR" term="%22Sobota%2C+Krzysztof%22">Sobota, Krzysztof</searchLink><br /><searchLink fieldCode="AR" term="%22McGowan%2C+Timothy%22">McGowan, Timothy</searchLink><br /><searchLink fieldCode="AR" term="%22Harrison%2C+Laura%22">Harrison, Laura</searchLink><br /><searchLink fieldCode="AR" term="%22Kilroy%2C+Emily%22">Kilroy, Emily</searchLink><br /><searchLink fieldCode="AR" term="%22Jayashankar%2C+Aditya%22">Jayashankar, Aditya</searchLink><br /><searchLink fieldCode="AR" term="%22Aziz-Zadeh%2C+Lisa%22">Aziz-Zadeh, Lisa</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. Jan2025, Vol. 55 Issue 1, p353-368. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Motor+ability%22">Motor ability</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Autism%22">Autism</searchLink><br /><searchLink fieldCode="DE" term="%22Kinematics%22">Kinematics</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Movement+disorders%22">Movement disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Pocket+computers%22">Pocket computers</searchLink><br /><searchLink fieldCode="DE" term="%22Neurosciences%22">Neurosciences</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+movement%22">Psychology of movement</searchLink><br /><searchLink fieldCode="DE" term="%22Asperger's+syndrome%22">Asperger's syndrome</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Early+diagnosis%22">Early diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Video+recording%22">Video recording</searchLink><br /><searchLink fieldCode="DE" term="%22Postural+balance%22">Postural balance</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s10803-023-06171-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 353
    Subjects:
      – SubjectFull: Motor ability
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Autism
        Type: general
      – SubjectFull: Kinematics
        Type: general
      – SubjectFull: Brain
        Type: general
      – SubjectFull: Movement disorders
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Pocket computers
        Type: general
      – SubjectFull: Neurosciences
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Psychology of movement
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      – SubjectFull: Asperger's syndrome
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      – SubjectFull: Machine learning
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      – SubjectFull: Early diagnosis
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Video recording
        Type: general
      – SubjectFull: Postural balance
        Type: general
    Titles:
      – TitleFull: Motor Signature Differences Between Autism Spectrum Disorder and Developmental Coordination Disorder, and Their Neural Mechanisms.
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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