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

NCT ID: NCT07136259

Last Updated: 2025-08-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-09-01

Study Completion Date

2026-01-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Attention Deficit Disorder With Hyperactivity (ADHD) Attention Deficit Disorder (ADD)

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Group 1

ADHD

No interventions assigned to this group

Group 2

Control Children

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

For the ADHD group:

* Clinically confirmed diagnosis of ADHD by an expert (e.g., pediatrician, neuropsychologist, pediatric neurologist)
* Age between 8 and 16 years
* Written informed consent from the participant and/or legal guardian

For the control group (non-ADHD):

* Age between 8 and 16 years
* No suspicion of ADHD
* Written informed consent from the participant and/or legal guardian

Exclusion Criteria

For both groups:

* Medical conditions known to affect ocular motor behavior (e.g., neurological or ophthalmological disorders)
* Doubts regarding the accuracy of the ADHD diagnosis (for the ADHD group)
* Lack of or questionable informed consent
* Suspicion of ADHD in control group participants (reported by parents, examiner, or physician)
Minimum Eligible Age

8 Years

Maximum Eligible Age

16 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Onovis Augenpraxis

NETWORK

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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OnovisAugenpraxis

Bern, Canton of Bern, Switzerland

Site Status

Countries

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Switzerland

Central Contacts

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Mathias Abegg, PD Dr. med. Dr. sc. nat.

Role: CONTACT

+41 79 936 88 34

Facility Contacts

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Beate Spychala, MSc.

Role: primary

+41 78 677 84 18

References

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Wainstein G, Rojas-Libano D, Crossley NA, Carrasco X, Aboitiz F, Ossandon T. Pupil Size Tracks Attentional Performance In Attention-Deficit/Hyperactivity Disorder. Sci Rep. 2017 Aug 15;7(1):8228. doi: 10.1038/s41598-017-08246-w.

Reference Type BACKGROUND
PMID: 28811624 (View on PubMed)

Schulz-Zhecheva Y, Voelkle MC, Beauducel A, Biscaldi M, Klein C. Intra-Subject Variability, Intelligence, and ADHD Traits in a Community-Based Sample. J Atten Disord. 2023 Jan;27(1):67-79. doi: 10.1177/10870547221118523. Epub 2022 Sep 8.

Reference Type BACKGROUND
PMID: 36082454 (View on PubMed)

Salari N, Ghasemi H, Abdoli N, Rahmani A, Shiri MH, Hashemian AH, Akbari H, Mohammadi M. The global prevalence of ADHD in children and adolescents: a systematic review and meta-analysis. Ital J Pediatr. 2023 Apr 20;49(1):48. doi: 10.1186/s13052-023-01456-1.

Reference Type BACKGROUND
PMID: 37081447 (View on PubMed)

Munoz DP, Broughton JR, Goldring JE, Armstrong IT. Age-related performance of human subjects on saccadic eye movement tasks. Exp Brain Res. 1998 Aug;121(4):391-400. doi: 10.1007/s002210050473.

Reference Type BACKGROUND
PMID: 9746145 (View on PubMed)

Mostofsky SH, Lasker AG, Cutting LE, Denckla MB, Zee DS. Oculomotor abnormalities in attention deficit hyperactivity disorder: a preliminary study. Neurology. 2001 Aug 14;57(3):423-30. doi: 10.1212/wnl.57.3.423.

Reference Type BACKGROUND
PMID: 11502907 (View on PubMed)

Maron DN, Bowe SJ, Spencer-Smith M, Mellahn OJ, Perrykkad K, Bellgrove MA, Johnson BP. Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neurosci Biobehav Rev. 2021 Dec;131:1198-1213. doi: 10.1016/j.neubiorev.2021.10.012. Epub 2021 Oct 13.

Reference Type BACKGROUND
PMID: 34655657 (View on PubMed)

Hamed AM, Kauer AJ, Stevens HE. Why the Diagnosis of Attention Deficit Hyperactivity Disorder Matters. Front Psychiatry. 2015 Nov 26;6:168. doi: 10.3389/fpsyt.2015.00168. eCollection 2015.

Reference Type BACKGROUND
PMID: 26635643 (View on PubMed)

Constantino JN, Kennon-McGill S, Weichselbaum C, Marrus N, Haider A, Glowinski AL, Gillespie S, Klaiman C, Klin A, Jones W. Infant viewing of social scenes is under genetic control and is atypical in autism. Nature. 2017 Jul 20;547(7663):340-344. doi: 10.1038/nature22999. Epub 2017 Jul 12.

Reference Type BACKGROUND
PMID: 28700580 (View on PubMed)

Other Identifiers

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2025-D0052

Identifier Type: -

Identifier Source: org_study_id

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