A Quick and Reliable Eye Movement Test to Help Diagnose ADHD in Children.

Overview

Attention Deficit Hyperactivity Disorder (ADHD) affects more than 5 % of children and adolescents, with a globally increasing prevalence. The condition imposes a significant burden on affected individuals, their families, and healthcare systems. Early and accurate diagnosis is crucial to ensure timely therapeutic and educational interventions. However, current diagnostic practices rely heavily on clinical interviews and behavioral observations, which are inherently subjective and resource-intensive. There is a growing need for objective diagnostic tools that can complement or even partially replace current clinical assessments. One promising approach involves eye-tracking technology, as ADHD is associated with altered oculomotor control and attention-related neural circuits. These changes may be reflected in measurable eye movement parameters, including saccadic latency and fixation stability. This clinical investigation uses a certified, CE-marked medical eye-tracking device (neos™) to assess whether specific eye movement parameters can serve as objective biomarkers for ADHD. Although the device was originally designed to assess visual pathway integrity, it also captures parameters related to attention and executive function through standardized protocols. The test is examiner-independent, non-invasive, and takes approximately 10 minutes. The study is observational and non-interventional, involving two groups of participants aged 8 to 16: 50 children with a clinically confirmed diagnosis of ADHD and 50 age-matched non-ADHD controls. All participants will complete a single neos™ eye-tracking assessment. The primary hypothesis is that children with ADHD will demonstrate greater variability in saccadic latency and a higher frequency of large saccades (\> 3°) during fixation compared to controls. These differences will be analyzed as potential diagnostic biomarkers. Diagnostic accuracy will be evaluated using receiver operating characteristic (ROC) analysis, with sensitivity, specificity and area under the curve (AUC) values reported. Secondary hypotheses include: Oculomotor parameters derived from the neos™ system can distinguish between ADHD subtypes (predominantly inattentive, hyperactive-impulsive and combined). Combined oculomotor metrics correlate with ADHD symptom severity, potentially enabling a quantitative assessment of disease burden. The results of this study could pave the way for the clinical adoption of objective, scalable and rapid diagnostic tools for ADHD. Beyond clinical use, such tools may also be adapted for population screening, telemedicine or integration into consumer-grade technologies such as virtual reality headsets. By validating a market-approved device for a new mental health indication, this study represents a critical step toward bridging research and clinical application in ADHD diagnostics.

Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents. It is estimated that over 5 % of young people worldwide are affected, with numbers rising in many countries. ADHD can cause serious difficulties in everyday life - at school, at home and in social settings. Children with ADHD often struggle with attention, impulsivity and hyperactivity. If not recognized and treated early, these challenges can persist into adolescence and adulthood, affecting academic success, social relationships and mental health. A timely and accurate diagnosis is therefore essential. However, diagnosing ADHD is not straightforward. Currently, it relies mainly on interviews with parents and children, behavioral observations and standardized questionnaires. While these methods can be effective, they are also subjective. The process often depends on how clearly the symptoms are described, how experienced the clinician is and how much time is available for assessment. This can lead to uncertainty or delays in diagnosis, especially in borderline or complex cases. To improve this situation, researchers are exploring new ways to make the diagnosis of ADHD more objective, faster and easier to reproduce. One promising tool is eye-tracking - a method that measures how a person's eyes move while they look at specific images or follow visual targets on a screen. Scientific studies have shown that people with ADHD tend to have different patterns of eye movement, especially when it comes to focus, reaction time, and maintaining attention. In this study, we use a medically certified device called neos™, which is designed to record and analyze eye movements in a highly accurate and standardized way. The neos™ system is already approved for clinical use in Europe for examining the visual system, but in this investigation, it is being tested for a new purpose: supporting the diagnosis of ADHD. The test is short (about 10 minutes), non-invasive and does not require verbal responses or physical interaction. It is fully automated and can be performed in a clinic by non-specialist staff. The study will include 100 children between the ages of 8 and 16. Half of the participants will have a prior, clinically confirmed diagnosis of ADHD made by a specialist (such as a pediatrician, child neurologist or neuropsychologist). The other half will be age-matched children without ADHD. All participants will complete the same neos™ eye-tracking assessment. The main goal of the study is to find out whether specific eye movement parameters - especially the variability in how fast the eyes move (saccadic latency) and the number of small, rapid eye movements during fixation - can reliably distinguish between children with and without ADHD. The idea is that children with ADHD may show more irregularities or signs of reduced visual focus during the test. These measurable differences could serve as biomarkers, which are objective signs that help confirm a diagnosis. In addition to the main analysis, the study will also look at whether these eye movement patterns can help: to differentiate between the three subtypes of ADHD (inattentive, hyperactive-impulsive, and combined) and estimate the severity of symptoms, potentially providing a new way to monitor treatment response over time. Importantly, this is not a treatment study. The children will not receive medication or therapy. The study only involves a single, short eye-tracking test that is safe and well-tolerated. If the results of the study are promising, the findings could help bring a new, objective tool into routine ADHD diagnostics. Because the neos™ device is already approved and available on the market, such a test could be implemented quickly in clinical settings. In the future, similar technology could even be adapted for screenings in schools, remote assessments via telemedicine or even self-monitoring with VR headsets, making ADHD diagnostics more accessible and scalable worldwide. By making the diagnostic process more objective and less dependent on clinical interpretation alone, this study hopes to contribute to earlier and more accurate diagnoses-and ultimately better outcomes for children living with ADHD.