Glaucoma is the second leading cause of blindness in the world, but, with proper treatment, blindness can be avoided in 90% of individuals with glaucoma. Proper treatment begins with the detection of glaucoma. Our long-term goal is to improve the detection of early glaucomatous damage, as well as the detection of progression of such damage. In this proposal, we focus in particular on the macular region, the most important retinal region for everyday visual performance. To better understand glaucomatous damage to the macula, as part of Aim 1, we test the hypothesis that early macular visual defects have a particular, arcuate, form when tested with behavioral tests [i.e. standard automated perimetry (SAP)]. We propose an anatomical framework to understand the basis of these macular arcuate defects. Based upon this framework, specific structural (anatomical) hypotheses are generated to understand the type of patients who may be susceptible to these defects. These hypotheses are tested using SAP, multifocal visual evoked potentials, and a relatively new noninvasive technique for in vivo measurement of the anatomy of the human retina and optic nerve, called frequency domain optical coherence tomography (fdOCT). Glaucoma damages retinal ganglion cells (RGC) and their axons. Most of the in vivo anatomical studies in humans have focused on the retinal nerve fiber layer (RNFL), which is made up of axon of the RGCs. As part of Aim 2, we focus on measuring RGC thickness directly using fdOCT technology. In particular, we test a simple linear model, which relates local SAP field loss to RGC loss. In addition, we test the hypothesis that RGC loss is a more sensitive measure than peripapillary RNFL thickness for detecting macular damage Finally, in Aim 3 we use our linear structure-function model to improve our ability to detect glaucomatous damage and its progression. In particular, we use the model to predict the progression of structural and functional damage in patients with glaucoma and to predict the relative effectiveness of different tests for detecting glaucoma. Further, our theoretical framework allows us to test hypotheses about why different tests of glaucoma may or may not agree.

Public Health Relevance

Glaucoma is the second leading cause of blindness in the world, but, with early detection and proper treatment, blindness can be avoided in 90% of individuals with glaucoma. We seek to improve our ability to detect and understand early damage to the most important region of the eye for everyday functions, the macula.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY002115-37
Application #
8599458
Study Section
Anterior Eye Disease Study Section (AED)
Program Officer
Chin, Hemin R
Project Start
1977-08-01
Project End
2015-12-31
Budget Start
2014-01-01
Budget End
2014-12-31
Support Year
37
Fiscal Year
2014
Total Cost
$354,975
Indirect Cost
$115,624
Name
Columbia University (N.Y.)
Department
Psychology
Type
Other Domestic Higher Education
DUNS #
049179401
City
New York
State
NY
Country
United States
Zip Code
10027
De Moraes, C Gustavo; Hood, Donald C; Thenappan, Abinaya et al. (2017) 24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma. Ophthalmology 124:1449-1456
Alhadeff, Paula A; De Moraes, Carlos G; Chen, Monica et al. (2017) The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans. J Glaucoma 26:498-504
Muhammad, Hassan; Fuchs, Thomas J; De Cuir, Nicole et al. (2017) Hybrid Deep Learning on Single Wide-field Optical Coherence tomography Scans Accurately Classifies Glaucoma Suspects. J Glaucoma 26:1086-1094
Prager, Alisa J; Hood, Donald C; Liebmann, Jeffrey M et al. (2017) Association of Glaucoma-Related, Optical Coherence Tomography-Measured Macular Damage With Vision-Related Quality of Life. JAMA Ophthalmol 135:783-788
Thenappan, Abinaya; De Moraes, Carlos Gustavo; Wang, Diane L et al. (2017) Optical Coherence Tomography and Glaucoma Progression: A Comparison of a Region of Interest Approach to Average Retinal Nerve Fiber Layer Thickness. J Glaucoma 26:473-477
Hood, Donald C (2017) Improving our understanding, and detection, of glaucomatous damage: An approach based upon optical coherence tomography (OCT). Prog Retin Eye Res 57:46-75
Hood, Donald C; Lee, Dongwon; Jarukasetphon, Ravivarn et al. (2017) Progression of Local Glaucomatous Damage Near Fixation as Seen with Adaptive Optics Imaging. Transl Vis Sci Technol 6:6
Blumberg, Dana M; De Moraes, Carlos Gustavo; Prager, Alisa J et al. (2017) Association Between Undetected 10-2 Visual Field Damage and Vision-Related Quality of Life in Patients With Glaucoma. JAMA Ophthalmol 135:742-747
Grillo, Lola M; Wang, Diane L; Ramachandran, Rithambara et al. (2016) The 24-2 Visual Field Test Misses Central Macular Damage Confirmed by the 10-2 Visual Field Test and Optical Coherence Tomography. Transl Vis Sci Technol 5:15
Blumberg, Dana M; De Moraes, Carlos Gustavo; Liebmann, Jeffrey M et al. (2016) Technology and the Glaucoma Suspect. Invest Ophthalmol Vis Sci 57:OCT80-5

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