Remodeling the light-adapted electroretinogram using a Bayesian statistical approach

Authors: Marek Brabec, F. Marmolejo-Ramos, L. Loh, I. O. Lee, M. Kulyabin, A. Zhdanov, H. Posada-Quintero, D. A. Thompson, P. A. Constable
Publication year: 2025
Publication type: Článek v odborném periodiku
Periodical: BMC Research Notes
Bibliographic citation: BRABEC, Marek, MARMOLEJO-RAMOS, F., LOH, L., LEE, I. O., KULYABIN, M., ZHDANOV, A., POSADA-QUINTERO, H., THOMPSON, D. A., CONSTABLE, P. A. Remodeling the light-adapted electroretinogram using a Bayesian statistical approach. BMC Research Notes. 2025, 18(January), 33. ISSN 1756-0500. E-ISSN 1756-0500
Dostupné z: doi:10.1186/s13104-025-07115-4.
DOI: 10.1186/s13104-025-07115-4
ID: 635673
Online record: View online record

Abstract

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.