Towards optogenetic vision restoration with high resolution - Sorbonne Université Access content directly
Journal Articles PLoS Computational Biology Year : 2020

Towards optogenetic vision restoration with high resolution

Ulisse Ferrari
José-Alain Sahel
Deniz Dalkara
Serge Picaud
Olivier Marre

Abstract

In many cases of inherited retinal degenerations, ganglion cells are spared despite photoreceptor cell death, making it possible to stimulate them to restore visual function. Several studies have shown that it is possible to express an optogenetic protein in ganglion cells and make them light sensitive, a promising strategy to restore vision. However the spatial resolution of optogenetically-reactivated retinas has rarely been measured, especially in the primate. Since the optogenetic protein is also expressed in axons, it is unclear if these neurons will only be sensitive to the stimulation of a small region covering their somas and dendrites, or if they will also respond to any stimulation overlapping with their axon, dramatically impairing spatial resolution. Here we recorded responses of mouse and macaque retinas to random checkerboard patterns following an in vivo optogenetic therapy. We show that optogenetically activated ganglion cells are each sensitive to a small region of visual space. A simple model based on this small receptive field predicted accurately their responses to complex stimuli. From this model, we simulated how the entire population of light sensitive ganglion cells would respond to letters of different sizes. We then estimated the maximal acuity expected by a patient, assuming it could make an optimal use of the information delivered by this reactivated retina. The obtained acuity is above the limit of legal blindness. Our model also makes interesting predictions on how acuity might vary upon changing the therapeutic strategy, assuming an optimal use of the information present in the retinal activity. Optogenetic therapy could thus potentially lead to high resolution vision, under conditions that our model helps to determinine.
Fichier principal
Vignette du fichier
journal.pcbi.1007857.pdf (1.54 Mo) Télécharger le fichier
Origin : Publication funded by an institution
Loading...

Dates and versions

hal-02934769 , version 1 (09-09-2020)

Identifiers

Cite

Ulisse Ferrari, Stéphane Deny, Abhishek Sengupta, Romain Caplette, Francesco Trapani, et al.. Towards optogenetic vision restoration with high resolution. PLoS Computational Biology, 2020, 16 (7), pp.e1007857. ⟨10.1371/journal.pcbi.1007857⟩. ⟨hal-02934769⟩
43 View
47 Download

Altmetric

Share

Gmail Facebook X LinkedIn More