Evidence map›Paper›PMID 41483154›Full record

ArticleAutism research : official journal of the International Society for Autism Research2026

Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology.

Kayleigh D Gultig, Cornelis P Boele, Lotte E M Roggeveen, Ting Fang Soong, Seth Sherry, Caroline Jung, Sara Milosevska, Anton Uvarov, Khalid Benhassan, Said Ait BenAli and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Kayleigh D GultigDepartment of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.ORCID 0000-0002-1043-6911
Cornelis P BoeleBlinkLab Limited, Perth, Australia.
Lotte E M RoggeveenBlinkLab Limited, Perth, Australia.
Ting Fang SoongBlinkLab Limited, Perth, Australia.
Seth SherryBlinkLab Limited, Perth, Australia.
Caroline JungNeuroscience Institute, Princeton University, Princeton, New Jersey, USA.
Sara MilosevskaDepartment of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.
Anton UvarovBlinkLab Limited, Perth, Australia.
Khalid BenhassanMohammed VI National Center for the Disabled, Salé, Morocco.
Said Ait BenAliDepartment of Neurosurgery, Cadi Ayyad University, Mohammed VI University Hospital Center, Morocco.
Yasmine AhajouiDepartment of Psychology, FLSHM-Hassan II University, Casablanca, Morocco.
Valeria Carpio-AriasEscuela Superior Politécnica de Chimborazo, Facultad de Salud Pública, Riobamba, Ecuador.
Sander LindemanBlinkLab Limited, Perth, Australia.
Sebastiaan K E KoekkoekBlinkLab Limited, Perth, Australia.
Esra SefikNeuroscience Institute, Princeton University, Princeton, New Jersey, USA.
Myrthe J OttenhoffBlinkLab Limited, Perth, Australia.ORCID 0000-0003-1934-7752
Samuel S-H WangNeuroscience Institute, Princeton University, Princeton, New Jersey, USA.
Chris I De ZeeuwDepartment of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.
Abdeslem El IdrissiCenter for Developmental Neuroscience, City University of New York, College of Staten Island, New York, USA.ORCID 0000-0003-3610-7259
Henk-Jan BoeleDepartment of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.ORCID 0000-0001-8449-4391

Funding

BlinkLab LimitedPrinceton University - Accelerator Award
6 · The paper itself

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.

Indexed as

Autism Spectrum DisorderAutistic DisorderReflex, StartleSmartphoneChildChild, PreschoolFemaleHumansMaleautism spectrum disorderneurodevelopmental disordersneurophysiological testsperceptionreflex startle

Identifiers

PMID41483154
PMCPMC12948738

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.