Recognition: unknown
Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals
Pith reviewed 2026-05-10 06:49 UTC · model grok-4.3
The pith
The LEOPs dataset supplies 5309 light-adapted ERG waveforms and 4434 oscillatory potential recordings from autism spectrum disorder and control children.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The LEOPs dataset contains 5309 single-flash ERG waveforms and 4434 OPs waveforms collected from control, ASD, and ASD+ADHD participants using a 9-step randomized flash series from -0.37 to 1.20 Td.s, plus 2-step and LA3 standard flashes, together with electrode position images, time-domain values, summed OPs values, and participant-level JSON files.
What carries the argument
The LEOPs dataset, which bundles the full set of waveforms, electrode images, demographics, and stimulus protocol files from the RETeval device for reuse in classification and comparison tasks.
Load-bearing premise
Participant diagnostic labels as control, ASD, or ASD+ADHD are accurate and skin-electrode recordings introduce no systematic site-specific or artifactual biases.
What would settle it
Re-recording a subset of the same participants and finding that a substantial fraction of waveforms differ markedly from those in the dataset or that diagnostic labels cannot be independently confirmed.
Figures
read the original abstract
The LEOPs (Light-ERG-Oscillatory Potentials) dataset provides light-adapted (LA) electroretinogram (ERG) and Oscillatory Potentials (OPs) waveforms for typically developing Control, Autism Spectrum Disorder (ASD) and ASD + Attention Deficit Hyperactivity Disorder (ADHD) childhood and adolescent populations. The ERGs were recorded in the Right And Left eyes with skin electrodes using the handheld RETeval device at two sites in Australia and the United Kingdom. The LEOPs dataset includes 5309 single flash ERG and 4434 OPs waveforms as well as images selected from each participant showing the position of the skin electrode. The LEOPs dataset is constructed from recordings using a 9 step randomized flash series from $-0.37$ to $1.20$~$Td.s$, a 2 step at 113 and 446 $Td.s$ flash strengths (2500 Control, 1730 ASD and 451 ASD + ADHD samples), as well as the $85$~$Td.s$ (Light Adapted 3 $cd.s.m^{-2}$ (LA3)) equivalent International Society of Clinical Electrophysiology of Vision (ISCEV) Standard flash with 435 Control, 176 ASD and 37 ASD + ADHD waveform samples. Code for the stimulus is provided along with participant demographics, date and time of testing, and where available diagnostic scores for the ASD and ASD + ADHD groups, alongside iris color, electrode position with image files and time domain values for the ERG and summed values for the OPs. The repository contains excel file, exported JSON files on the patient level that are more suitable for machine learning tasks, images of electrode position for each recording and the protocol files for use with the RETeval.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript describes the LEOPs dataset of light-adapted ERG and oscillatory potentials (OPs) waveforms recorded from control, ASD, and ASD+ADHD children and adolescents using skin electrodes on the RETeval device at two sites. It reports 5309 single-flash ERG waveforms and 4434 OPs waveforms generated from a 9-step randomized flash series (-0.37 to 1.20 Td.s) plus additional standard flashes at 85, 113, and 446 Td.s, together with electrode-position images, participant demographics, diagnostic scores, iris color, time-domain ERG values, summed OPs values, Excel/JSON files, and RETeval protocol files with stimulus code.
Significance. If the data are as described, the release supplies a sizable, openly accessible collection of LA-ERG and OPs recordings from neurodevelopmental cohorts that can support biomarker discovery, group-difference analyses, and machine-learning applications. Strengths include the randomized multi-step flash protocol, provision of participant-level JSON files optimized for ML reuse, electrode-position images, protocol files, and stimulus code, all of which enhance reproducibility and downstream utility.
minor comments (3)
- [Methods] Methods section: the protocol description does not specify the artifact-rejection criteria or automated/manual selection rules applied to retain the 5309 ERG and 4434 OPs waveforms; adding this information would allow users to assess potential selection bias.
- [Dataset description] Results/Dataset description: no table or text breakdown is given of the number of participants or waveforms per diagnostic group and per recording site (Australia vs. UK), which would help evaluate possible site-specific calibration or population effects.
- [Dataset description] The manuscript states that diagnostic scores are included 'where available' but does not report the proportion of ASD/ASD+ADHD cases with scores or the instruments used; clarifying this would strengthen the dataset documentation.
Simulated Author's Rebuttal
We thank the referee for their positive summary and assessment of the significance of the LEOPs dataset. The recommendation for minor revision is noted, but no specific major comments were provided in the report.
Circularity Check
No significant circularity
full rationale
The manuscript is a pure dataset release paper. It describes the LEOPs collection of 5309 single-flash ERG and 4434 OPs waveforms recorded under a stated 9-step randomized flash protocol plus standard flashes, supplies participant demographics, electrode images, JSON/Excel exports, and stimulus code, and states the diagnostic groupings. No equations, predictions, first-principles derivations, or load-bearing claims appear anywhere in the text; the central assertions are factual descriptions of data provenance and file contents. Consequently no step reduces to its own inputs by construction, self-citation, or fitted-parameter renaming.
Axiom & Free-Parameter Ledger
Reference graph
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