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Eye Tracking Young Children with Autism
Published on: March 27, 2012
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Children with Autism Show Impaired Oculomotor Entrainment to Predictable Stimuli.
Shlomit Beker1,2, Oren Kadosh3, John J Foxe2,4
1Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, NY.
Biorxiv : the Preprint Server for Biology
|September 15, 2025
Summary
Children with Autism Spectrum Disorder (ASD) show impaired eye movement and pupil responses to predictable cues, indicating difficulties processing timing and predictability across physiological systems.
Area of Science:
- Neuroscience
- Developmental Psychology
- Ophthalmology
Background:
- Autism Spectrum Disorder (ASD) is associated with altered synchronization to external events.
- Previous research showed impaired neuronal entrainment in children with ASD using EEG.
- It remains unclear if other physiological signals reflect similar entrainment differences.
Purpose of the Study:
- To investigate entrainment differences in eye movements and pupil dilation in children with ASD.
- To compare oculomotor and pupillary responses to predictable stimuli between ASD and typically developing (TD) children.
Main Methods:
- Recorded microsaccades (MS) and pupil diameter in 31 children with ASD and 21 TD controls.
- Participants performed a task with predictable visual cues preceding an auditory target.
- Analyzed MS release time (MS RT), pupil response time (pupil RT), and trial-by-trial variability as indices of ocular entrainment.
Main Results:
- Both groups showed periodic oculomotor responses, including MS inhibition and pupil constrictions.
- TD children demonstrated progressive temporal alignment (increased RT, decreased variability) across cues.
- Children with ASD showed significantly reduced oculomotor modulation and increased response variability, paralleling EEG findings.
Conclusions:
- Children with ASD exhibit diminished oculomotor and pupillary entrainment to predictable stimuli.
- These findings suggest impaired processing of predictability across physiological systems in ASD.
- Multimodal approaches integrating EEG and oculomotor measures show promise for understanding ASD.

