构建了自闭症与正常儿童的光照适应视网膜电图数据集
Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals
- 采集自闭症、多动症及正常儿童的双眼视网膜电图波形
- 包含5309条单闪光刺激的视网膜电图和4434条振荡电位数据
- 适合神经发育障碍研究与机器学习建模使用
LEOPs数据集收录了自闭症谱系障碍（ASD）、共患注意缺陷多动障碍（ASD+ADHD）及正常发育儿童在光照适应条件下的视网膜电图（ERG）与振荡电位（OPs）波形。数据通过手持RETeval设备，采用皮肤电极在澳大利亚与英国两个站点采集，涵盖左右眼记录。数据包括5309条单闪光刺激的ERG波形和4434条OPs波形，以及每位受试者电极位置图像。刺激采用9步随机闪光序列（-0.37至1.20 Td.s），2个标准强度（113和446 Td.s），以及符合ISCEV标准的85 Td.s（光照适应3 cd·s·m⁻²，LA3）刺激，分别获得435名对照、176名ASD和37名ASD+ADHD样本。数据附带代码、参与者人口统计信息、测试时间、诊断评分（如有）、虹膜颜色、电极位置图像及时域数值。仓库提供Excel、患者级导出的JSON文件（适用于机器学习）、电极位置图像和RETeval使用协议文件。
原文摘要 · Abstract (English)
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.
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