Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology

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.

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Journal
Autism Research
Published
2026-01-03
DOI
https://doi.org/10.1002/aur.70166
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
29.71
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article

Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology

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Autism Spectrum Disorder Research
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article

Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology

Caroline Jung, S. Aït Benali, Anton Uvarov, Kayleigh D. Gultig, Cornelis Peter Boele, Samuel S.‐H. Wang, Esra Sefik, C. L. De Zeeuw, Myrthe J. Ottenhoff, Seth Sherry, Khalid Benhassan, Sara Milosevska, Ting Fang Soong, Henk‐Jan Boele, Sander Lindeman, Yasmine Ahajoui, Valeria Carpio‐Arias, Abdeslem El Idrissi, Sebastiaan K. E. Koekkoek, Lotte E. M. Roggeveen
article en
1 citations

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.

Autism ResearchVol. 19(2)
Cadi Ayyad University (MA), Royal Netherlands Academy of Arts and Sciences (NL), College of Staten Island (US), Princeton University (US), Tellabs (Canada) (CA), École Nationale Forestière d'Ingénieurs (MA), Escuela Superior Politécnica del Chimborazo (EC), Erasmus University Rotterdam (NL), University of Hassan II Casablanca (MA)
Quality Education
Openalex Percentile: Top 2%
Autism Spectrum Disorder Research
29.71
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