The long-term function of this research program is to relate visual deficits to the underlying cellular pathophysiology of disease processes, with the current focus exclusively on glaucoma. The proposed research applies a quantitative cortical neural pooling model to analysis of perimetric damage produced by glaucoma, with the goals of reducing perimetric variability and improving relations between clinical measures of glaucomatous damage. There are three Specific Aims:
Specific Aim 1) To optimize contrast sensitivity perimetry (CSP) for clinical use in patients with glaucoma, using a quantitative neural model for perimetry. Our neural model will be used to optimize CSP parameters and algorithms in terms of four factors: screening (identify defects), test-retest (identify progression), characterization (identify pattern of damage), and relations with structural measures.
Specific Aim 2) To analyze relations between conventional automated perimetry (CAP) and imaging measures in data from the United Kingdom Glaucoma Treatment Study (UKGTS), using a quantitative neural model. A large prospective longitudinal dataset will be analyzed in terms of model predictions relating perimetric sensitivity with results from four different imaging tests.
Specific Aim 3) To assess long-term fluctuation versus progression within and between perimetric and structural measures of glaucomatous damage, using a quantitative neural model for perimetry. A prospective longitudinal study will be conducted to test predictions of the model concerning relations between CSP and standard clinical measures, both perimetric and imaging.
Perimetry measures visual function across the visual field, and is used routinely for diagnosing and following patients with glaucoma, one of the leading causes of blindness in the US and globally. The proposed research will produce a deeper scientific understanding of perimetry, and will lead to improved methods for using perimetry in clinical studies, treatment trials and care of individual patients. The potential public health benefit is substantial, given the large number of patients with glaucoma.
|Swanson, William H; Malinovsky, Victor E; Dul, Mitchell W et al. (2014) Contrast sensitivity perimetry and clinical measures of glaucomatous damage. Optom Vis Sci 91:1302-11|
|Alluwimi, Muhammed S; Swanson, William H; Malinovsky, Victor E (2014) Between-subject variability in asymmetry analysis of macular thickness. Optom Vis Sci 91:484-90|
|Marín-Franch, Iván; Swanson, William H; Malinovsky, Victor E (2014) A novel strategy for the estimation of the general height of the visual field in patients with glaucoma. Graefes Arch Clin Exp Ophthalmol 252:801-9|
|Gardiner, Stuart K; Swanson, William H; Goren, Deborah et al. (2014) Assessment of the reliability of standard automated perimetry in regions of glaucomatous damage. Ophthalmology 121:1359-69|
|Swanson, William H; Dul, Mitchell W; Horner, Douglas G et al. (2014) Assessing spatial and temporal properties of perimetric stimuli for resistance to clinical variations in retinal illumination. Invest Ophthalmol Vis Sci 55:353-9|
|Horner, Douglas G; Dul, Mitchell W; Swanson, William H et al. (2013) Blur-resistant perimetric stimuli. Optom Vis Sci 90:466-74|
|Marin-Franch, Ivan; Swanson, William H (2013) The visualFields package: a tool for analysis and visualization of visual fields. J Vis 13:|
|Marin-Franch, Ivan; Malik, Rizwan; Crabb, David P et al. (2013) Choice of statistical method influences apparent association between structure and function in glaucoma. Invest Ophthalmol Vis Sci 54:4189-96|
|Keltgen, Kelsey M; Swanson, William H (2012) Estimation of spatial scale across the visual field using sinusoidal stimuli. Invest Ophthalmol Vis Sci 53:633-9|
|Swanson, William H; Sun, Hao; Lee, Barry B et al. (2011) Responses of primate retinal ganglion cells to perimetric stimuli. Invest Ophthalmol Vis Sci 52:764-71|
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