Group comparisons of the individual electroretinogram time trajectories for the ascending limb of the b-wave using a raw and registered time series

BMC Research Notes

Research Note

Fernando Marmolejo-Ramos¹  Paul A. Constable²  Marek Brabec³  Dorothy A. Thompson⁴ 

[1] Centre for Change and Complexity in Learning, The University of South Australia, Adelaide, Australia;Flinders University, College of Nursing and Health Sciences, Caring Futures Institute, Adelaide, SA, Australia;Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic;The Tony Kriss Visual Electrophysiology Unit, Clinical and Academic, Department of Ophthalmology, Great Ormond Street Hospital for Children NHS Trust, London, UK;UCL Great Ormond Street Institute of Child Health, University College London, London, UK;

关键词: Electroretinogram;    Time domain analysis;    Curve registration;    b-Wave;   

DOI  :  10.1186/s13104-023-06535-4

 received in 2023-03-12, accepted in 2023-09-25,  发布年份 2023

来源: Springer

【 摘 要 】

ObjectivesThe 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.ResultsAnalysis 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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

【 图 表 】

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