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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
M. Brabec, PA. Constable, DA. Thompson, F. Marmolejo-Ramos
Language English Country England, Great Britain
Document type Journal Article
NLK
BioMedCentral
from 2008-12-01
BioMedCentral Open Access
from 2008
Directory of Open Access Journals
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Free Medical Journals
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PubMed Central
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Europe PubMed Central
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ProQuest Central
from 2009-01-01
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Medline Complete (EBSCOhost)
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Health & Medicine (ProQuest)
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ROAD: Directory of Open Access Scholarly Resources
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Springer Nature OA/Free Journals
from 2008-12-01
- MeSH
- Time Factors MeSH
- Child MeSH
- Electroretinography methods MeSH
- Humans MeSH
- Autism Spectrum Disorder * MeSH
- Retina MeSH
- Photic Stimulation methods MeSH
- Research Design MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Publication type
- Journal Article MeSH
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.
Centre for Change and Complexity in Learning The University of South Australia Adelaide Australia
Institute of Computer Science of the Czech Academy of Sciences Prague Czech Republic
UCL Great Ormond Street Institute of Child Health University College London London UK
References provided by Crossref.org
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