Seedlabs

B-Wave Split: A 15-Minute Retinal Tiebreaker for the ADHD-vs-ASD Call

A 15-minute light-flash eye test that helps doctors tell the difference between ADHD and autism in children.

A short light-flash retinal test (ERG) with a software readout that shows whether a child's retinal response matches the elevated pattern seen in ADHD or the reduced pattern seen in autism — an objective tiebreaker for the hardest differential in neurodevelopmental assessment.

MedicineAttention Deficit Hyperactivity Disorder
Attention Deficit Hyperactivity DisorderPediatric neurodevelopmental diagnostics — ADHD vs ASD differential assessment

Concept

A standardized, light-adapted electroretinogram (ERG) protocol plus a software readout module that runs on existing clinical ERG hardware, including handheld devices. The child simply watches a short series of nine light flashes (up to 1.204 log photopic cd.s.m−2); the module extracts the b-wave amplitude at the top flash strength — the measure that best separated the groups in the source study — along with corroborating features (Photopic Negative Response and b-wave time-to-peak). The output is a one-page report that places the child's b-wave amplitude into one of three published bands: elevated (ADHD-consistent, ~37 μV), typical (control range, ~28 μV), or reduced (ASD-consistent, ~25 μV), with an explicit ADHD-vs-ASD separation indicator. Positioning: a same-visit, objective tiebreaker that augments — never replaces — behavioral assessment, aimed at the common clinical dilemma where a school-aged child's symptoms are compatible with both conditions (they share genetic risk and frequently co-occur). Go-to-market: license the protocol and readout to ERG device makers and sell a validated kit to pediatric neurodevelopmental clinics, shipped with confidence bands and a multi-site validation roadmap.

Why now

The new study [0] recorded full-field light-adapted ERGs in 15 ADHD, 57 ASD (without ADHD), and 59 control participants aged 5.4–27.3 years and found a reversed, differential pattern: at the 1.204 log phot cd.s.m−2 flash, b-wave amplitude was 37.2 ± 10.3 μV in ADHD vs 28.2 ± 8.6 μV in controls vs 24.7 ± 8.9 μV in ASD, and this single measure distinguished ADHD from ASD with an AUC of 0.88. ADHD participants also showed elevated PhNR responses and faster b-wave time-to-peak (30.6 vs 31.2 ms), corroborating the separation. The ADHD-vs-autism differential is a recognized objective-measurement problem: an older corpus study [1] had to apply Gaussian-process classification to structural MRI grey-matter volumes to separate ADHD adolescents from controls in a way that was disorder-specific relative to autism — accurate but costly, slow, and scanner-dependent. The ERG delivers the same kind of objective evidence in minutes, without a scanner, at a fraction of the cost, making it deployable in ordinary pediatric visits. Design constraints from the study: the ADHD group was small (n=15) and the ASD group excluded ADHD comorbidity, so the readout must be framed as decision support with a validation roadmap, not a standalone diagnosis.

Written by GLM · 10 Oct 2026

AI assessment

Backed by 2 papers89

A high-potential objective diagnostic aid that leverages a specific physiological biomarker to solve a high-friction clinical differential, though limited by a small initial ADHD sample size.

Evidence strength
3/5
The AUC of 0.88 is strong, but the ADHD cohort is very small (n=15), making the result promising but not yet robust enough for a definitive clinical tool.
Market pull
5/5
The ADHD-vs-ASD differential is a notorious clinical pain point with high urgency for pediatricians and specialists who currently rely on subjective reports.
Novelty & moat
5/5
Unlike existing catalog ideas that focus on interviews or MRI, this introduces a completely new physiological modality (ERG) for neurodevelopmental differentiation.
Feasibility
4/5
The idea utilizes existing ERG hardware and focuses on a software readout module, making the MVP a data-processing layer rather than a new hardware build.
Wedge clarity
5/5
The 'tiebreaker' positioning for the specific ADHD-vs-ASD call is a sharp, high-value entry point that avoids the mistake of trying to replace the entire diagnostic process.
Simplicity / focus
5/5
The product is focused on a single measurement (b-wave amplitude) and a single output (a one-page report), avoiding platform creep.

Scored by Gemma 4 · 10 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • LKC Technologiescompany

    Makes the FDA-cleared handheld RETeval ERG device with skin electrodes and no pupil dilation, already child-friendly; licensing a validated ADHD-vs-ASD differential module would open a large neurodevelopmental market beyond retinal disease.

  • Child Mind Instituteorganization

    Nonprofit clinic performing high volumes of ADHD and ASD differential evaluations; a same-visit objective tiebreaker could shorten assessment cycles and reduce misrouting between services.

  • South London and Maudsley NHS Foundation Trustorganization

    Provides child neurodevelopmental assessments under long NHS waitlist pressure; a 15-minute physiological triage could help prioritize which referred children need full behavioral assessment first.

  • Diagnosyscompany

    Vendor of clinical ERG systems; a neurodevelopmental differential protocol and readout expands its installed base from ophthalmology into pediatric neurodevelopmental clinics.

  • Kennedy Krieger Instituteorganization

    Large US neurodevelopmental clinical and research center that could both validate the readout in a real cohort and deploy it in its ADHD/ASD assessment clinics.

Research it builds on

  1. Disorder-Specific Predictive Classification of Adolescents with Attention Deficit Hyperactivity Disorder (ADHD) Relative to Autism Using Structural Magnetic Resonance Imaging
    Lena L. Lim, André F. Marquand, Ana Cubillo et al. · 2013 · 104 citations
    All ideas from this paper →
  2. The electroretinogram b-wave amplitude: a differential physiological measure for Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder
    Irene Lee, David Skuse, Paul A. Constable et al. · 2022 · 44 citations
    All ideas from this paper →
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