ArticleFrontiers in neuroscience2022
Discrete Wavelet Transform Analysis of the Electroretinogram in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 35 citations in OpenAlex.
- Technical note: a functional data analysis approach to analyze the light-adapted electroretinogram in children and adolescents.Documenta ophthalmologica. Advances in ophthalmology · 2026Article
- ERG-Graph: Graph Signal Processing of the Electroretinogram for Classification of Neurodevelopmental Disorders.Bioengineering (Basel, Switzerland) · 2026Article
- Wavelet-Based Pattern ERG Biomarkers Outperform Temporal Amplitude Measures for Functional Stratification in Optic Nerve Disease.Translational vision science & technology · 2026Article
- A practical introduction to wavelet analysis in electroretinography.Documenta ophthalmologica. Advances in ophthalmology · 2026Review
- Technical note: contour plot visualization of the light adapted electroretinogram using a generalized additive model.Documenta ophthalmologica. Advances in ophthalmology · 2026Article
- Synthetic electroretinogram signal generation using a conditional generative adversarial network.Documenta ophthalmologica. Advances in ophthalmology · 2025Article
- Time Series Classification of Autism Spectrum Disorder Using the Light-Adapted Electroretinogram.Bioengineering (Basel, Switzerland) · 2025Article
- Global motion coherent deficits in individuals with autism spectrum disorder and their family members are associated with retinal function.Scientific reports · 2025Article
- Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis.Brain topography · 2025Article
- Remodeling the light-adapted electroretinogram using a bayesian statistical approach.BMC research notes · 2025Article
- Spectral Analysis of Light-Adapted Electroretinograms in Neurodevelopmental Disorders: Classification with Machine Learning.Bioengineering (Basel, Switzerland) · 2024Article
- Exploring Convolutional Neural Network Architectures for EEG Feature Extraction.Sensors (Basel, Switzerland) · 2024Article
- Generating Synthetic Light-Adapted Electroretinogram Waveforms Using Artificial Intelligence to Improve Classification of Retinal Conditions in Under-Represented Populations.Journal of ophthalmology · 2024Article
- Enhancing Electroretinogram Classification with Multi-Wavelet Analysis and Visual Transformer.Sensors (Basel, Switzerland) · 2023Article
- Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series.BMC research notes · 2023Article
- Visual electrophysiology and "the potential of the potentials".Eye (London, England) · 2023Review
- Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals.Sensors (Basel, Switzerland) · 2023Article
- OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms.Bioengineering (Basel, Switzerland) · 2023Article
- Retinal electrophysiology in central nervous system disorders. A review of human and mouse studies.Frontiers in neuroscience · 2023Review
- Time-Frequency Analysis of ERG With Discrete Wavelet Transform and Matching Pursuits for Glaucoma.Translational vision science & technology · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To evaluate the electroretinogram waveform in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) using a discrete wavelet transform (DWT) approach. Methods: A total of 55 ASD, 15 ADHD and 156 control individuals took part in this study. Full field light-adapted electroretinograms (ERGs) were recorded using a Troland protocol, accounting for pupil size, with five flash strengths ranging from -0.12 to 1.20 log photopic cd.s.m Results: There were significant group differences ( Conclusion: This methodological approach may provide insights about neuronal activity in studies investigating group differences where retinal signaling may be altered through neurodevelopment or neurodegenerative conditions. However, further work will be required to determine if retinal signal analysis can offer a classification model for neurodevelopmental conditions in which there is a co-occurrence such as ASD and ADHD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.