Evidence map›Paper›PMID 40778145›Full record

ArticlemedRxiv : the preprint server for health sciences2025

A Practical Introduction to Wavelet Analysis in Electroretinography.

Yousif Shwetar, David Lalush, Jason McAnany, Brett Jeffrey, Melissa Haendel

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yousif ShwetarJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, NC, United States.ORCID 0000-0002-0587-4693
David LalushJoint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, NC, United States.ORCID 0000-0002-7240-929X
Jason McAnanyDepartment of Ophthalmology and Visual Sciences, University of Illinois Chicago, Chicago, Illinois, United States.ORCID 0000-0003-1192-3487
Brett JeffreyOphthalmic Genetics and Visual Function Branch, National Eye Institute, NIH, Bethesda, MD, United States.ORCID 0000-0001-9549-0644
Melissa HaendelDepartment of Genetics, University of North Carolina, Chapel Hill, NC, United States.ORCID 0000-0001-9114-8737

Funding

Translational Core for Therapeutic and Diagnostic DevelopmentP30EY001792 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SHUKLA, DEEPAK · 1985 to 2025
$14.8M
Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
Mechanisms of Early Functional Loss in Diabetic Eye DiseaseR01EY026004 · NEI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI James JASON McAnany · 2016 to 2026
$4.2M
NEI NIH HHS P30 EY001792NEI NIH HHS R01 EY026004NHGRI NIH HHS RM1 HG010860
6 · The paper itself

Abstract

Purpose: To provide a conceptual understanding of the continuous and discrete wavelet transforms (CWT, DWT) for clinical electroretinography (ERG) analysis, and how these methods uncover time-frequency features that complement traditional time-domain analysis. Methods: A technical overview without the use of mathematical formula describing the basics of CWT and DWT and implementation considerations. We also review an example of four standard ISCEV ERG recordings from a healthy male (between 30-34 years of age) and a male (between 15-19 years of age) with complete congenital stationary night blindness (CSNB). Results: Wavelet analysis uncovered time-frequency signatures absent in raw traces. In light-adapted flicker, the normal ERG showed a ~30 Hz response with harmonics up to 90 Hz, whereas CSNB was largely attenuated. For LA 3 and dark-adapted flashes, normal CWTs concentrated energy < 100 Hz between 0.04-0.08 s, while CSNB demonstrated lowered or almost absent energy profiles in comparison. DWT indices exhibited a similar pattern, with normal recordings demonstrating high energy responses early in the 7, 15, and 29 Hz frequency bands, while CSNB registered markedly lower values. Conclusions: CWT and DWT provide complementary and objective insight into ERG responses. Open-source MATLAB toolkit and step-by-step tutorial provided herein lower technical barriers and enable use by the broader community.

Indexed as

DiagnosticsElectroretinographyFourier TransformMetricsSignal ProcessingWavelet Transform

Identifiers

PMID40778145
PMCPMC12330432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.