Even though the fovea occupies only 0.02% of the total area of the retina, 40% of primary visual cortex is devoted to processing visual signals that arise there. Thus, it is not surprising that diseases affecting the structure or function of the foea are especially devastating to visually guided behaviors. Yet fundamental gaps remain in our concepts of how the fovea develops, how foveal structure is disrupted during aging and disease, and how the fovea interacts with more central visual system structures to determine key features of visual function. The overall goal of this proposal is to address these issues using a novel combination of noninvasive imaging technologies including functional magnetic resonance imaging (fMRI), optical coherence tomography (OCT) and adaptive optics scanning light ophthalmoscopy (AOSLO). Albinism is an inherited disorder characterized by absent or reduced melanin pigment in the eye, and often in the skin and hair, with all types manifesting the visual features of foveal hypoplasia, macular translucency, photosensitivity, refractive errors, nystagmus, impaired stereopsis, altered retinostriate decussation, and reduced visual acuity. These specific retinal and cortical features of albinism make it a perfect experiment of nature to examine the knowledge gaps listed above. We propose to do this through the following specific aims: 1) Define the spectrum of foveal morphology in albinism and assess the relationship between pit morphology and retinal melanin, 2) Identify retinal factors contributing t visual deficits in albinism, and 3) Determine the cortical correlates of visual deficits in albinis. The results of this project will provide a more comprehensive understanding of the interrelationships linking melanin, retinal morphology, and cortical organization. This will offer insight into the basis for vision deficits in albinism, which may alter current phenotype/genotype classifications. This work is expected to have a significant positive impact by providing a new framework for understanding and targeting clinical therapies to alleviate the behavioral manifestations of albinism, and by producing sensitive tools for assessing therapeutic outcomes. This proposal directly addresses emerging needs outlined in the National Eye Institute's August 2012 Publication, Vision Research: Needs, Gaps, & Opportunities, and incorporates specific program objectives of the NEI Retinal Diseases Panel: (1) Characterize the macula and perifoveal regions of the retina to better understand the predilection of the macula for disease. (2) Improve understanding of the roles of neuronal activity and molecular events in the formation of central visual circuits during development. (3) Continue to develop and apply noninvasive technologies such as fMRI, OCT, adaptive optics, and confocal imaging to better understand retinal function and changes in disease states.
The human fovea underlies the majority of our visual function (including color vision and high spatial acuity vision) and is negatively affected in a number of retinal diseases such as albinism and Age-Related Macular Degeneration (AMD). The work proposed in this grant tackles fundamental issues in neurobiology, including testing models of foveal development, understanding how the fovea and visual cortex are disrupted in albinism, and modeling how the fovea interacts with the thalamus and cortex to determine key features and limitations of human vision. These studies will accelerate the application of our non-invasive imaging approach to define therapeutic potential in patients with albinism on an individualized basis and provide anatomical outcome measures for use in emerging therapeutic trials.
|Lee, Daniel J; Woertz, Erica N; Visotcky, Alexis et al. (2018) The Henle Fiber Layer in Albinism: Comparison to Normal and Relationship to Outer Nuclear Layer Thickness and Foveal Cone Density. Invest Ophthalmol Vis Sci 59:5336-5348|
|Linderman, Rachel E; Muthiah, Manickam N; Omoba, Sarah B et al. (2018) Variability of Foveal Avascular Zone Metrics Derived From Optical Coherence Tomography Angiography Images. Transl Vis Sci Technol 7:20|
|Pinhas, Alexander; Linderman, Rachel; Mo, Shelley et al. (2018) A method for age-matched OCT angiography deviation mapping in the assessment of disease- related changes to the radial peripapillary capillaries. PLoS One 13:e0197062|
|Krawitz, Brian D; Phillips, Erika; Bavier, Richard D et al. (2018) Parafoveal Nonperfusion Analysis in Diabetic Retinopathy Using Optical Coherence Tomography Angiography. Transl Vis Sci Technol 7:4|
|Lapierre-Landry, Maryse; Carroll, Joseph; Skala, Melissa C (2018) Imaging retinal melanin: a review of current technologies. J Biol Eng 12:29|
|Salmon, Alexander E; Cooper, Robert F; Langlo, Christopher S et al. (2017) An Automated Reference Frame Selection (ARFS) Algorithm for Cone Imaging with Adaptive Optics Scanning Light Ophthalmoscopy. Transl Vis Sci Technol 6:9|
|Wilk, Melissa A; Wilk, Brandon M; Langlo, Christopher S et al. (2017) Evaluating outer segment length as a surrogate measure of peak foveal cone density. Vision Res 130:57-66|
|Litts, Katie M; Cooper, Robert F; Duncan, Jacque L et al. (2017) Photoreceptor-Based Biomarkers in AOSLO Retinal Imaging. Invest Ophthalmol Vis Sci 58:BIO255-BIO267|
|Wilk, Melissa A; Dubis, Adam M; Cooper, Robert F et al. (2017) Assessing the spatial relationship between fixation and foveal specializations. Vision Res 132:53-61|
|Strampe, Margaret R; Wirostko, William J; Carroll, Joseph (2017) A case of congenital retinal macrovessel in an otherwise normal eye. Am J Ophthalmol Case Rep 8:18-21|
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