Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals
Paul A. Constable, Dorothy A. Thompson, Irene O. Lee, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Andreas Maier

TL;DR
The LEOPs dataset offers a comprehensive collection of light-adapted ERG and oscillatory potential waveforms from children and adolescents with ASD, ASD+ADHD, and controls, facilitating research into neurophysiological differences.
Contribution
This dataset is the first to provide detailed ERG and OPs waveforms along with participant metadata for ASD and ADHD populations, enabling advanced machine learning and clinical research.
Findings
Contains over 10,000 waveforms across groups and conditions.
Includes detailed participant demographics and electrode positioning images.
Provides code and protocol files for reproducibility and further analysis.
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 to ~, a 2 step at 113 and 446 flash strengths (2500 Control, 1730 ASD and 451 ASD + ADHD samples), as well as the ~ (Light Adapted 3…
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