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Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology
Kayleigh D Gultig1,2, Cornelis P Boele2, Lotte E M Roggeveen2
1Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.
Summary
Smartphone assessments reveal distinct sensorimotor differences in children with autism, offering a new objective biomarker for diagnosis. This technology captures unique facial and behavioral responses in at-home settings.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Sensorimotor processing differences are key in autism but often assessed subjectively.
- Objective, reflex-based evaluations are limited to lab settings, hindering research.
- There's a need for accessible, objective tools to study autism-related sensorimotor function.
Purpose of the Study:
- To develop and validate a smartphone-based platform for at-home neurobehavioral evaluations.
- To objectively assess sensorimotor differences in children with and without autism.
- To explore the potential of these assessments as diagnostic biomarkers.
Main Methods:
- A multi-center study involving 536 children aged 3-12 years.
- Utilized a novel smartphone platform (BlinkLab) for at-home assessments.
- Analyzed facial and behavioral responses, including prepulse inhibition (PPI) and startle reflexes.
Main Results:
- Successfully completed assessments in 431 children (80.4%), with 275 diagnosed with autism.
- Autistic children exhibited altered sensorimotor responses: reduced PPI, altered startle habituation, variable eyeblink responses, and sensitization.
- Observed increased screen avoidance, postural instability, head movements, mouth openings, non-syllabic vocalizations, pupil shifts, "side-eyeing", and eyelid variations in autistic children.
Conclusions:
- Smartphone-based assessments can effectively capture distinct sensorimotor profiles in autism within real-world environments.
- These findings support the potential of objective, at-home assessments for autism diagnostics.
- Sensorimotor differences identified are largely independent of co-occurring conditions, though some subdomains are influenced.

