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Researchers are evaluating a new smartphone-based platform called BlinkLab to help diagnose autism spectrum disorder (ASD) by measuring facial and behavioral reflexes. This retrospective case-control study compares the diagnostic accuracy of this neurobehavioral testing method to formal clinical diagnoses based on DSM-5 criteria. The study focuses on sensorimotor anomalies linked to ASD in children aged 3 to 12 years. The study uses BlinkLab, a non-invasive diagnostic device that performs neurobehavioral tests including measurements of spontaneous and stimulus-evoked postural, head, facial, and vocal responses. Specific tests include the acoustically evoked eyelid startle reflex (ASR) and its modulation through prepulse inhibition (PPI) and habituation (HAB). Children participate in two consecutive 15-minute sessions during which they watch an audio-normalized movie while auditory stimuli are delivered via headphones. Computer vision algorithms track facial landmarks throughout the trials. Participants will be assessed through these smartphone-based tests, and researchers will compare responses between children diagnosed with ASD and neurotypical children without psychiatric diagnoses. The study measures device sensitivity and specificity at baseline to evaluate accuracy. Caregiver consent and the child's ability to see and hear the test stimuli are essential. The total time commitment involves the two 15-minute testing sessions.