Assessment of speech and fine motor coordination in children with autism spectrum disorder.

acoustic speech analysis autism spectrum disorder biomedical application fine motor skills motor coordination

Journal

IEEE access : practical innovations, open solutions
ISSN: 2169-3536
Titre abrégé: IEEE Access
Pays: United States
ID NLM: 101639462

Informations de publication

Date de publication:
2020
Historique:
entrez: 22 3 2021
pubmed: 1 1 2020
medline: 1 1 2020
Statut: ppublish

Résumé

Autism Spectrum Disorder (ASD) is a developmental disorder characterized by difficulty in communication, which includes a high incidence of speech production errors. We hypothesize that these errors are partly due to underlying deficits in motor coordination and control, which are also manifested in degraded fine motor control of facial expressions and purposeful hand movements. In this pilot study, we computed correlations of acoustic, video, and handwriting time-series derived from five children with ASD and five children with neurotypical development during speech and handwriting tasks. These correlations and eigenvalues derived from the correlations act as a proxy for motor coordination across articulatory, laryngeal, and respiratory speech production systems and for fine motor skills. We utilized features derived from these correlations to discriminate between children with and without ASD. Eigenvalues derived from these correlations highlighted differences in complexity of coordination across speech subsystems and during handwriting, and helped discriminate between the two subject groups. These results suggest differences in coupling within speech production and fine motor skill systems in children with ASD. Our long-term goal is to create a platform assessing motor coordination in children with ASD in order to track progress from speech and motor interventions administered by clinicians.

Identifiants

pubmed: 33747676
doi: 10.1109/ACCESS.2020.3007348
pmc: PMC7971182
mid: NIHMS1613559
doi:

Types de publication

Journal Article

Langues

eng

Pagination

127535-127545

Subventions

Organisme : NIDCD NIH HHS
ID : T32 DC000038
Pays : United States

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Auteurs

Tanya Talkar (T)

Speech and Hearing Bioscience & Technology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA.
Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

James R Williamson (JR)

Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Daniel Hannon (D)

Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Hrishikesh M Rao (HM)

Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Sophia Yuditskaya (S)

Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Kajal Claypool (K)

Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Douglas Sturim (D)

Artificial Intelligence Technology and Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Lisa Nowinski (L)

Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA.

Hannah Saro (H)

Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA.

Carol Stamm (C)

Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA.

Maria Mody (M)

Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA; Harvard Medical School, Boston, MA, 02115.

Christopher J McDougle (CJ)

Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA.

Thomas F Quatieri (TF)

Speech and Hearing Bioscience & Technology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA.
Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA.

Classifications MeSH