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• W4288702365 abstract "Abstract Photoreceptor degeneration sufficient to produce severe visual loss often spares the inner retina. This raises the hope that treatments using optogenetics or electrical stimulation, which generate a replacement light input signal in surviving neurons, may restore vision. The success of these approaches is dependent on the capacity of surviving circuits in the early stages of the visual system to generate and propagate an appropriate visual code in the face of neuroanatomical remodelling. To determine the capacity of surviving circuits in advanced retinal degeneration to present an appropriate visual code, we generated a transgenic mouse expressing the optogenetic actuator ReaChR in ON bipolar cells (second order neurons in the visual projection). After crossing this with the rd1 model of photoreceptor degeneration, we compared ReaChR derived responses with photoreceptor-driven responses in wildtype (WT) mice in retinal ganglion cells and visual thalamus. The ReaChR -driven responses in rd1 animals showed low photosensitivity, but in other respects generated a visual code that was very similar to WT. Furthermore, ReaChR rd1 units in the retina had high response reproducibility and showed sensitivity normalisation to code contrast stably across different background intensities. At the single unit level, ReaChR -derived responses exhibited broadly similar variation in light response polarity, contrast sensitivity and temporal frequency tuning as WT. Units from WT and ReaChR rd1 mice clustered together when subjected to unsupervised community detection based on stimulus-response properties. Our data reveal an impressive ability for surviving circuitry to recreate a rich visual code following advanced retinal degeneration and are promising for regenerative medicine in the central nervous system." @default.
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• W4288702365 date "2022-07-29" @default.
• W4288702365 modified "2023-09-23" @default.
• W4288702365 title "Functional integrity of visual coding following advanced photoreceptor degeneration" @default.
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• W4288702365 doi "https://doi.org/10.1101/2022.07.27.501697" @default.
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