The electroretinogram:a useful tool for evaluating age-related macular disease?


With an ageing population, the number of age-related macular disease (ARMD) cases will inevitably rise. This gives greater impetus for the need to identify the disease earlier and assess treatments to slow disease progression. Differing electroretinogram (ERG) modalities have been reviewed in relation to the objective assessment of retinal function in ARMD and for monitoring the effectiveness of clinical interventions. Conflicting results have been found with regard to the efficacy of ERG findings in the investigation of ARMD in previous years. The newer multifocal ERG paradigm provides spatial topographical information about retinal function in ARMD. It has shown promising results in monitoring effectiveness of clinical interventions and studies are continuing in this area. Better knowledge of retinal function in ARMD may lead to enhanced treatments at each phase of the disease.

Publication DOI:
Divisions: College of Health & Life Sciences > School of Optometry > Optometry
College of Health & Life Sciences > School of Optometry > Optometry & Vision Science Research Group (OVSRG)
College of Health & Life Sciences > School of Optometry > Vision, Hearing and Language
College of Health & Life Sciences
Additional Information: The original publication is available at
Uncontrolled Keywords: disease progression,electroretinography,humans,macular degeneration,population surveillance,retina,treatment outcome,Ophthalmology,Sensory Systems,Physiology (medical)
Publication ISSN: 1573-2622
Last Modified: 07 May 2024 07:08
Date Deposited: 25 Jun 2012 12:53
Full Text Link: http://www.spri ... m324v735725203/
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2010-08
Published Online Date: 2010-03-16
Authors: Berrow, Emma J
Bartlett Eperjesi, Hannah (ORCID Profile 0000-0002-7531-6902)
Eperjesi, Frank (ORCID Profile 0000-0003-4358-0095)
Gibson, Jonathan (ORCID Profile 0000-0002-9281-5244)



Version: Accepted Version

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