September 2024
Volume 24, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2024
Analysis of the ERG Off-response
Author Affiliations & Notes
  • Christopher Tyler
    Smith-Kettlewell Eye Research Institute
  • Footnotes
    Acknowledgements  Supported by NEI grant EY30155
Journal of Vision September 2024, Vol.24, 1116. doi:https://doi.org/10.1167/jov.24.10.1116
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Christopher Tyler; Analysis of the ERG Off-response. Journal of Vision 2024;24(10):1116. https://doi.org/10.1167/jov.24.10.1116.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Introduction. The electroretinogram (ERG) is a powerful non-invasive assay of the functional integrity of the human retina, providing measures of the retinal receptor potential and the bipolar cell function, together with signals attributable to the inner plexiform layer of the amacrine retinal ganglion cells. An accurate model of ERG dynamics is important for understanding the multifold processes of light transduction to ecologically useful signals by the retina. Methods. A neuroanalytic approach to modeling the human rod ERG is based on the general principle of a dynamic serial/parallel model of the kinetics of each component contributing to the ERG, such as the receptor potential, the bipolar response, the ganglion-cell response, etc. This approach is now extended from the brief flash response to account for the light-adapted On/Off step response. A direct model with a linear-waveform Off-response is compared with a model incorporating separate half-wave rectifying generators deriving the On and Off bipolar responses. Both models incorporate adaptive gain control of the Off-response amplitude. Results. This new model provides a substantially better match than previous models of rod responses in six different waveform features of the canonical ERG flash intensity series, together with the compound nonlinearities of the On/Off ERG step responses to white light. The comparative analysis shows that the half-wave rectifying model generates an Off-response waveform that is too slow, when combined with the Off-step of the receptor potential. Only the direct form with adaptive gain control can match the dynamic properties of the physiological recordings. Conclusion. The provision of an accurate model of the On and Off pathways of the retina provides a significant step towards more accurate quantification of retinal processing deficits than is available from the standard peak statistics of the ERG flash responses.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×