June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Modeled direct and indirect activation of retinal ganglion cells during subretinal stimulation
Author Affiliations & Notes
  • Paul Werginz
    Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria
  • Jörg Encke
    Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria
  • Archana Jalligampala
    Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
  • Daniel Llewellyn Rathbun
    Institute for Ophthalmic Research, University of Tübingen, Tübingen, Germany
  • Frank Rattay
    Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria
  • Footnotes
    Commercial Relationships Paul Werginz, None; Jörg Encke, None; Archana Jalligampala, None; Daniel Rathbun, None; Frank Rattay, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 771. doi:
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      Paul Werginz, Jörg Encke, Archana Jalligampala, Daniel Llewellyn Rathbun, Frank Rattay; Modeled direct and indirect activation of retinal ganglion cells during subretinal stimulation. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):771.

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

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Abstract
 
Purpose
 

Although several experimental studies have been performed, it is still unclear how an applied electric potential activates retinal ganglion cells (GC) in detail. This modeling study tries to reveal how direct and indirect (synaptic) activation of GCs can be achieved during subretinal stimulation.

 
Methods
 

We combined models of a bipolar cell (BC), a GC and a connecting ribbon synapse. Cell geometry data was either extracted from 2D depictions from the literature and converted into 3D cell models or taken from a database (www.neuromorpho.org) and further modified. Hodgkin-Huxley-like membrane kinetics were incorporated into the multi-compartment models. Calculations of the membrane potential, synaptic activity, ionic currents etc. were performed in MatLab. External potentials evoked by a monopolar disc electrode were modeled using finite element software COMSOL Multiphysics.

 
Results
 

Responses of the model neurons to 1ms and 5ms pulses were computed for 3 different electrode locations (directly under the somas (Fig); 100μm and 300μm shifted in x-direction). Both pulse durations were able to trigger direct and indirect spikes. Because of the kinetic characteristics of the ribbon synapse longer pulses preferably activate the BC. For electrode positions closer to the soma, indirect stimulation thresholds are lower than direct activation thresholds. Depending on electrode location either cathodic or anodic pulses result in lower thresholds.

 
Conclusions
 

Modeled activation thresholds are comparable to actual applied stimuli in current retinal implants (0.2-1.5V). Furthermore, the site of spike initiation is heavily depending on the GC morphology. Up to now, no general assumptions can be made how each activation mechanism can be triggered by specific stimulus protocols. Further investigations and more detailed cell models will help to gain deeper insight into activation characteristics.  

 
(A) Distribution of electric potentials across the simulated volume. A BC and one GC are connected via a ribbon synapse. (B) Direct and indirect spikes in the GC during anodic stimulation. The direct spike is initiated within the sodium channel band whereas indirect spikes are triggered by synaptic activity. SOCB = Sodium channel band, IS = Initial segment.
 
(A) Distribution of electric potentials across the simulated volume. A BC and one GC are connected via a ribbon synapse. (B) Direct and indirect spikes in the GC during anodic stimulation. The direct spike is initiated within the sodium channel band whereas indirect spikes are triggered by synaptic activity. SOCB = Sodium channel band, IS = Initial segment.

 
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