Remodeling the light-adapted electroretinogram using a bayesian statistical approach

Marek Brabec; Fernando Marmolejo Ramos; Lynne Loh; Irene O. Lee; Mikhail Kulyabin; Aleksei  Zhdanov; Hugo F. Posada-Quintero; Dorothy A. Thompson; Paul A. Constable

doi:10.1186/s13104-025-07115-4

Remodeling the light-adapted electroretinogram using a bayesian statistical approach

Marek Brabec, Fernando Marmolejo Ramos, Lynne Loh, Irene O. Lee, Mikhail Kulyabin, Aleksei Zhdanov, Hugo F. Posada-Quintero, Dorothy A. Thompson, Paul A. Constable

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Abstract

Objective
To present a remodeling of the electroretinogram waveform using a covariance matrix to identify regions of interest and distinction between a control and attention deficit/hyperactivity disorder (ADHD) group. Electroretinograms were recorded in n = 25 ADHD (16 male; age 11.9 ± 2.7 years) and n = 38 (8 male; age 10.4 ± 2.8 years neurotypical control participants as part of a broad study into the determining if the electroretinogram could be a biomarker for ADHD. Flash strengths of 0.6 and 1.2 log cd.s.m− 2 on a white 40 cd.m− 2 background were used. Averaged waveforms from each eye and flash strength were analyzed with Bayesian regularization of the covariance matrices using 100 equal length time intervals. The eigenvalues of the covariance matrices were ranked for each group to indicate the degree of complexity within the regularized waveforms.

Results
The correlation matrices indicated less correlation within the waveforms for the ADHD group in time intervals beyond 70 msec. The eigenvalue plots suggest more complexity within the ADHD group compared to the control group. Consideration of the correlation structure between ERG waveforms from different populations may reveal additional features for identifying group differences in clinical populations.

Original language	English
Article number	33
Pages (from-to)	33
Number of pages	9
Journal	BMC Research Notes
Volume	18
Issue number	1
DOIs	https://doi.org/10.1186/s13104-025-07115-4
Publication status	Published - 23 Jan 2025

Keywords

Attention deficit hyperactivity disorder
Neurodevelopment
Retina
Time-domain ERG trajectory

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Final published versionFinal published version, 1.44 MBLicence: CC BY-NC-ND

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title = "Remodeling the light-adapted electroretinogram using a bayesian statistical approach",

abstract = "ObjectiveTo present a remodeling of the electroretinogram waveform using a covariance matrix to identify regions of interest and distinction between a control and attention deficit/hyperactivity disorder (ADHD) group. Electroretinograms were recorded in n = 25 ADHD (16 male; age 11.9 ± 2.7 years) and n = 38 (8 male; age 10.4 ± 2.8 years neurotypical control participants as part of a broad study into the determining if the electroretinogram could be a biomarker for ADHD. Flash strengths of 0.6 and 1.2 log cd.s.m− 2 on a white 40 cd.m− 2 background were used. Averaged waveforms from each eye and flash strength were analyzed with Bayesian regularization of the covariance matrices using 100 equal length time intervals. The eigenvalues of the covariance matrices were ranked for each group to indicate the degree of complexity within the regularized waveforms.ResultsThe correlation matrices indicated less correlation within the waveforms for the ADHD group in time intervals beyond 70 msec. The eigenvalue plots suggest more complexity within the ADHD group compared to the control group. Consideration of the correlation structure between ERG waveforms from different populations may reveal additional features for identifying group differences in clinical populations.",

keywords = "Attention deficit hyperactivity disorder, Neurodevelopment, Retina, Time-domain ERG trajectory",

author = "Marek Brabec and {Marmolejo Ramos}, Fernando and Lynne Loh and Lee, {Irene O.} and Mikhail Kulyabin and Aleksei Zhdanov and Posada-Quintero, {Hugo F.} and Thompson, {Dorothy A.} and Constable, {Paul A.}",

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doi = "10.1186/s13104-025-07115-4",

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AU - Brabec, Marek

AU - Marmolejo Ramos, Fernando

AU - Loh, Lynne

AU - Lee, Irene O.

AU - Kulyabin, Mikhail

AU - Zhdanov, Aleksei

AU - Posada-Quintero, Hugo F.

AU - Thompson, Dorothy A.

AU - Constable, Paul A.

PY - 2025/1/23

Y1 - 2025/1/23

N2 - ObjectiveTo present a remodeling of the electroretinogram waveform using a covariance matrix to identify regions of interest and distinction between a control and attention deficit/hyperactivity disorder (ADHD) group. Electroretinograms were recorded in n = 25 ADHD (16 male; age 11.9 ± 2.7 years) and n = 38 (8 male; age 10.4 ± 2.8 years neurotypical control participants as part of a broad study into the determining if the electroretinogram could be a biomarker for ADHD. Flash strengths of 0.6 and 1.2 log cd.s.m− 2 on a white 40 cd.m− 2 background were used. Averaged waveforms from each eye and flash strength were analyzed with Bayesian regularization of the covariance matrices using 100 equal length time intervals. The eigenvalues of the covariance matrices were ranked for each group to indicate the degree of complexity within the regularized waveforms.ResultsThe correlation matrices indicated less correlation within the waveforms for the ADHD group in time intervals beyond 70 msec. The eigenvalue plots suggest more complexity within the ADHD group compared to the control group. Consideration of the correlation structure between ERG waveforms from different populations may reveal additional features for identifying group differences in clinical populations.

AB - ObjectiveTo present a remodeling of the electroretinogram waveform using a covariance matrix to identify regions of interest and distinction between a control and attention deficit/hyperactivity disorder (ADHD) group. Electroretinograms were recorded in n = 25 ADHD (16 male; age 11.9 ± 2.7 years) and n = 38 (8 male; age 10.4 ± 2.8 years neurotypical control participants as part of a broad study into the determining if the electroretinogram could be a biomarker for ADHD. Flash strengths of 0.6 and 1.2 log cd.s.m− 2 on a white 40 cd.m− 2 background were used. Averaged waveforms from each eye and flash strength were analyzed with Bayesian regularization of the covariance matrices using 100 equal length time intervals. The eigenvalues of the covariance matrices were ranked for each group to indicate the degree of complexity within the regularized waveforms.ResultsThe correlation matrices indicated less correlation within the waveforms for the ADHD group in time intervals beyond 70 msec. The eigenvalue plots suggest more complexity within the ADHD group compared to the control group. Consideration of the correlation structure between ERG waveforms from different populations may reveal additional features for identifying group differences in clinical populations.

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Remodeling the light-adapted electroretinogram using a bayesian statistical approach

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