ArticleDocumenta ophthalmologica. Advances in ophthalmology2015
A method for estimating intrinsic noise in electroretinographic (ERG) signals.
Article in Documenta ophthalmologica. Advances in ophthalmology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Artificial intelligence-based analysis of visual electrophysiological signals for clinical interpretation support.Frontiers in neuroscience · 2026Review
- Melanopsin-mediated amplification of cone signals in the human visual cortex.Proceedings. Biological sciences · 2024Article
- Test-retest repeatability of the pattern electroretinogram and flicker electroretinogram.Documenta ophthalmologica. Advances in ophthalmology · 2019Article
- Melanopsin and Cone Photoreceptor Inputs to the Afferent Pupil Light Response.Frontiers in neurology · 2019Article
- Steady-state PERG adaptation: a conspicuous component of response variability with clinical significance.Documenta ophthalmologica. Advances in ophthalmology · 2018Article
- A Temporal White Noise Analysis for Extracting the Impulse Response Function of the Human Electroretinogram.Translational vision science & technology · 2017Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo develop a signal processing paradigm for extracting ERG responses to temporal sinusoidal modulation with contrasts ranging from below perceptual threshold to suprathreshold contrasts and estimate the magnitude of intrinsic noise in ERG signals at different stimulus contrasts.
methodsPhotopic test stimuli were generated using a 4-primary Maxwellian view optical system. The 4-primary lights were sinusoidally temporally modulated in-phase (36 Hz; 2.5-50% Michelson contrast). The stimuli were presented in 1-s epochs separated by a 1-ms blank interval and repeated 160 times (160.160-s duration) during the recording of the continuous flicker ERG from the right eye using DTL fibre electrodes. After artefact rejection, the ERG signal was extracted using Fourier transforms in each of the 1-s epochs where a stimulus was presented. The signal processing allows for computation of the intrinsic noise distribution in addition to the signal-to-noise (SNR) ratio.
resultsWe provide the initial report that the ERG intrinsic noise distribution is independent of stimulus contrast, whereas SNR decreases linearly with decreasing contrast until the noise limit at ~2.5%. The 1-ms blank intervals between epochs de-correlated the ERG signal at the line frequency (50 Hz) and thus increased the SNR of the averaged response. We confirm that response amplitude increases linearly with stimulus contrast. The phase response shows a shallow positive relationship with stimulus contrast.
conclusionsThis new technique will enable recording of intrinsic noise in ERG signals above and below perceptual visual threshold and is suitable for measurement of continuous rod and cone ERGs across a range of temporal frequencies, and post-receptoral processing in the primary retinogeniculate pathways at low stimulus contrasts. The intrinsic noise distribution may have application as a biomarker for detecting changes in disease progression or treatment efficacy.
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