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Identifying Cell Class Specific Losses from Serially Generated Electroretinogram Components
Joint Authors
Wong, Vickie H. Y.
Nguyen, Christine T. O.
Bui, Bang V.
Vingrys, Algis J.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-08
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Purpose.
Processing of information through the cellular layers of the retina occurs in a serial manner.
In the electroretinogram (ERG), this complicates interpretation of inner retinal changes as dysfunction may arise from “upstream” neurons or may indicate a direct loss to that neural generator.
We propose an approach that addresses this issue by defining ERG gain relationships.
Methods.
Regression analyses between two serial ERG parameters in a control cohort of rats are used to define gain relationships.
These gains are then applied to two models of retinal disease.
Results.
The PIIIamp to PIIamp gain is unity whereas the PIIamp to pSTRamp and PIIamp to nSTRamp gains are greater than unity, indicating “amplification” (P<0.05).
Timing relationships show amplification between PIIIit to PIIit and compression for PIIit to pSTRit and PIIit to nSTRit, (P<0.05).
Application of these gains to ω-3-deficiency indicates that all timing changes are downstream of photoreceptor changes, but a direct pSTR amplitude loss occurs (P<0.05).
Application to diabetes indicates widespread inner retinal dysfunction which cannot be attributed to outer retinal changes (P<0.05).
Conclusions.
This simple approach aids in the interpretation of inner retinal ERG changes by taking into account gain characteristics found between successive ERG components of normal animals.
American Psychological Association (APA)
Nguyen, Christine T. O.& Vingrys, Algis J.& Wong, Vickie H. Y.& Bui, Bang V.. 2013. Identifying Cell Class Specific Losses from Serially Generated Electroretinogram Components. BioMed Research International،Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1005139
Modern Language Association (MLA)
Nguyen, Christine T. O.…[et al.]. Identifying Cell Class Specific Losses from Serially Generated Electroretinogram Components. BioMed Research International No. 2013 (2013), pp.1-15.
https://search.emarefa.net/detail/BIM-1005139
American Medical Association (AMA)
Nguyen, Christine T. O.& Vingrys, Algis J.& Wong, Vickie H. Y.& Bui, Bang V.. Identifying Cell Class Specific Losses from Serially Generated Electroretinogram Components. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-15.
https://search.emarefa.net/detail/BIM-1005139
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1005139