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Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series
OBJECTIVES: The electroretinogram is a clinical test commonly used in the diagnosis of retinal disorders with the peak time and amplitude of the a- and b-waves used as the main indicators of retinal function. However, subtle changes that affect the shape of the electroretinogram waveform may occur i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542250/ https://www.ncbi.nlm.nih.gov/pubmed/37773138 http://dx.doi.org/10.1186/s13104-023-06535-4 |
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author | Brabec, Marek Constable, Paul A. Thompson, Dorothy A. Marmolejo-Ramos, Fernando |
author_facet | Brabec, Marek Constable, Paul A. Thompson, Dorothy A. Marmolejo-Ramos, Fernando |
author_sort | Brabec, Marek |
collection | PubMed |
description | OBJECTIVES: The electroretinogram is a clinical test commonly used in the diagnosis of retinal disorders with the peak time and amplitude of the a- and b-waves used as the main indicators of retinal function. However, subtle changes that affect the shape of the electroretinogram waveform may occur in the early stages of disease or in conditions that have a neurodevelopmental or neurodegenerative origin. In such cases, we introduce a statistical approach to mathematically model the shape of the electroretinogram waveform that may aid clinicians and researchers using the electroretinogram or other biological signal recordings to identify morphological features in the waveforms that may not be captured by the time or time–frequency domains of the waveforms. We present a statistical graphics-based analysis of the ascending limb of the b-wave (AL-b) of the electroretinogram in children with and without a diagnosis of autism spectrum disorder (ASD) with a narrative explanation of the statistical approach to illustrate how different features of the waveform based on location and scale derived from raw and registered time series can reveal subtle differences between the groups. RESULTS: Analysis of the raw time trajectories confirmed findings of previous studies with a reduced and delayed b-wave amplitude in ASD. However, when the individual time trajectories were registered then group differences were visible in the mean amplitude at registered time ~ 0.6 suggesting a novel method to differentiate groups using registration of the ERG waveform. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06535-4. |
format | Online Article Text |
id | pubmed-10542250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105422502023-10-03 Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series Brabec, Marek Constable, Paul A. Thompson, Dorothy A. Marmolejo-Ramos, Fernando BMC Res Notes Research Note OBJECTIVES: The electroretinogram is a clinical test commonly used in the diagnosis of retinal disorders with the peak time and amplitude of the a- and b-waves used as the main indicators of retinal function. However, subtle changes that affect the shape of the electroretinogram waveform may occur in the early stages of disease or in conditions that have a neurodevelopmental or neurodegenerative origin. In such cases, we introduce a statistical approach to mathematically model the shape of the electroretinogram waveform that may aid clinicians and researchers using the electroretinogram or other biological signal recordings to identify morphological features in the waveforms that may not be captured by the time or time–frequency domains of the waveforms. We present a statistical graphics-based analysis of the ascending limb of the b-wave (AL-b) of the electroretinogram in children with and without a diagnosis of autism spectrum disorder (ASD) with a narrative explanation of the statistical approach to illustrate how different features of the waveform based on location and scale derived from raw and registered time series can reveal subtle differences between the groups. RESULTS: Analysis of the raw time trajectories confirmed findings of previous studies with a reduced and delayed b-wave amplitude in ASD. However, when the individual time trajectories were registered then group differences were visible in the mean amplitude at registered time ~ 0.6 suggesting a novel method to differentiate groups using registration of the ERG waveform. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06535-4. BioMed Central 2023-09-29 /pmc/articles/PMC10542250/ /pubmed/37773138 http://dx.doi.org/10.1186/s13104-023-06535-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Brabec, Marek Constable, Paul A. Thompson, Dorothy A. Marmolejo-Ramos, Fernando Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
title | Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
title_full | Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
title_fullStr | Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
title_full_unstemmed | Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
title_short | Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
title_sort | group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542250/ https://www.ncbi.nlm.nih.gov/pubmed/37773138 http://dx.doi.org/10.1186/s13104-023-06535-4 |
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