Remodeling the light-adapted electroretinogram using a bayesian statistical approach
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...
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BMC
2025-01-01
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| Online Access: | https://doi.org/10.1186/s13104-025-07115-4 |
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| author | Marek Brabec Fernando Marmolejo-Ramos Lynne Loh Irene O. Lee Mikhail Kulyabin Aleksei Zhdanov Hugo Posada-Quintero Dorothy A. Thompson Paul A. Constable |
| author_facet | Marek Brabec Fernando Marmolejo-Ramos Lynne Loh Irene O. Lee Mikhail Kulyabin Aleksei Zhdanov Hugo Posada-Quintero Dorothy A. Thompson Paul A. Constable |
| author_sort | Marek Brabec |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9a7050b8ea22436d9d9f173f576610cd |
| institution | Kabale University |
| issn | 1756-0500 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj-art-9a7050b8ea22436d9d9f173f576610cd2025-01-26T12:13:16ZengBMCBMC Research Notes1756-05002025-01-011811910.1186/s13104-025-07115-4Remodeling the light-adapted electroretinogram using a bayesian statistical approachMarek Brabec0Fernando Marmolejo-Ramos1Lynne Loh2Irene O. Lee3Mikhail Kulyabin4Aleksei Zhdanov5Hugo Posada-Quintero6Dorothy A. Thompson7Paul A. Constable8Institute of Computer Science, Czech Academy of SciencesCollege of Education, Psychology, and Social Work, Flinders UniversityCollege of Nursing and Health Sciences, Flinders University, Caring Futures InstituteBehavioural and Brain Sciences Unit, Population Policy and Practice Programme, Great Ormond Street Institute of Child Health, University College London, University College LondonPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universitat Erlangen-NurnbergVisioMed.AIBiomedical Engineering Department, University of ConnecticutTony Kriss Visual Electrophysiology Unit, Clinical and Academic Department of Ophthalmology, Great Ormond Street Hospital for Children NHS Foundation TrustCollege of Nursing and Health Sciences, Flinders University, Caring Futures InstituteAbstract 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.https://doi.org/10.1186/s13104-025-07115-4Attention deficit hyperactivity disorderNeurodevelopmentRetinaTime-domain ERG trajectory |
| spellingShingle | Marek Brabec Fernando Marmolejo-Ramos Lynne Loh Irene O. Lee Mikhail Kulyabin Aleksei Zhdanov Hugo Posada-Quintero Dorothy A. Thompson Paul A. Constable Remodeling the light-adapted electroretinogram using a bayesian statistical approach BMC Research Notes Attention deficit hyperactivity disorder Neurodevelopment Retina Time-domain ERG trajectory |
| title | Remodeling the light-adapted electroretinogram using a bayesian statistical approach |
| title_full | Remodeling the light-adapted electroretinogram using a bayesian statistical approach |
| title_fullStr | Remodeling the light-adapted electroretinogram using a bayesian statistical approach |
| title_full_unstemmed | Remodeling the light-adapted electroretinogram using a bayesian statistical approach |
| title_short | Remodeling the light-adapted electroretinogram using a bayesian statistical approach |
| title_sort | remodeling the light adapted electroretinogram using a bayesian statistical approach |
| topic | Attention deficit hyperactivity disorder Neurodevelopment Retina Time-domain ERG trajectory |
| url | https://doi.org/10.1186/s13104-025-07115-4 |
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