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Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology

  • BlinkLab Limited
  • Princeton University
  • Erasmus University Rotterdam
  • Mohammed VI National Center for the Disabled
  • Cadi Ayyad University
  • University of Hassan II Casablanca
  • Escuela Superior Politécnica de Chimborazo
  • Netherlands Institute for Neuroscience
  • Royal Academy of Arts and Sciences Amsterdam
  • City University of New York

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Differences in sensorimotor processing represent an important, yet underrecognized, feature of autism; typically assessed through subjective observations, which, although important, are susceptible to biases. To complement these observations, a more objective approach to assess sensorimotor function may be possible through reflex-based neurobehavioral evaluations. The clinical application of these assessments has, however, been largely confined to laboratory settings. Thus, small sample sizes and inconsistent findings have made it challenging to understand how sensorimotor function differs in autism and whether it can be used as an objective biomarker for diagnostics. Here we present a novel smartphone-based platform to conduct neurobehavioral evaluations by measuring facial and behavioral responses in at-home environments. Through a multi-center study, we explored the platform's ability to distinguish between children with and without autism. We enrolled 536 children aged 3–12 years. BlinkLab smartphone-based assessments were successfully completed in 431 children (80.4%), including 275 with autism and 156 neurotypical children. We found that autistic children showed altered sensorimotor responses across multiple domains. These included reduced prepulse inhibition (PPI), stronger startle habituation over the course of a PPI test, more variable eyeblink responses to auditory stimuli and significant sensitization. Additionally, children with autism displayed more screen avoidance, postural instability, head movements, mouth openings, non-syllabic vocalizations, horizontal pupil shifts, “side-eyeing”, and variation in baseline eyelid opening. Exploratory analyses showed that these effects were largely independent of co-occurring conditions. Notably, co-occurrence did influence certain subdomains (e.g., PPI, mouth openings). These findings illustrate that smartphone-based assessments can capture distinct sensorimotor profiles associated with autism in real-world environments.

Original languageEnglish
Article numbere70166
JournalAutism Research
Volume19
Issue number2
DOIs
Publication statusPublished - Feb 2026

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.

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