Wednesday, April 24, 2024
4/24/2024
¿ DESCRIPTION (provided by applicant): Worldwide, over 285 million people are visually impaired, and 39 million of those are blind. Visual impairments (blindness and low vision) severely and negatively impact the quality of life. New sight-restoration treatments have arrived for some blinding diseases. An electronic retinal prosthesis is approved for sight restoration in advanced retinitis pigmentosa. Gene therapy trials have shown promise for Leber's congenital amaurosis. Stem cell treatments for age-related macular degeneration are starting clinical trials. In some cases, remarkable results have been demonstrated, suggesting that at least partial vision restoration is possible after prolonged blindness. However, psychophysical data from clinical trials often show large variance in outcomes. Preconditions in brain structure and function associated with the central visual pathway (CVP) may underlie some of the variance. The effect of complete blindness upon the brain is well studied, but most ophthalmologic disease produces effects that vary from point-to-point across the retina. How does the precise topography of eye disease map onto changes in brain? Is acquired retinal damage related to local effects upon the structure and function of the CVP? Are any of these effects of vision loss on the CVP reversible? We propose to answer these questions, which we believe are crucial to the on-going efforts in developing sight- restoration treatments, by combining advanced retinal imaging with the brain-mapping techniques developed in the Human Connectome Project (HCP), using novel yet robust analytical methods. We will reveal the relationships between retinal pathology and their downstream impact on the CVP in unprecedented detail over the natural courses of blinding diseases and their treatments. We will make available to the research community the raw and processed data on retinal pathology for a range of blinding diseases, along with neuroimaging data collected with the HCP protocol. We will provide the computer codes used to extract relevant features from the retinal and neural datasets and the statistical models that relate the two. The extensive datasets and the associated data-analysis tools will form a transformative foundation for studies of neural plasticity associated with visual impairments and sight restoration.
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