A major long-term objective is to develop techniques for localizing the sites, and identifying the mechanisms of diseases of the retina and optic nerve. The multifocal electroretinogram (mERG) and visual evoked potential (mVEP) techniques are relatively new ways for measuring the physiological activity of local retinal and cortical activity. By studying the mERGs from patients with a variety of retinal/optic nerve problems we aim to develop a conceptual framework for relating changes in the mERG to sites and mechanisms of damage (aim 1a). In addition, some retinal diseases affect retinal mechanisms of adaptation and studies are designed to understand these changes. The mVEP technique is less developed and studies are proposed to improve this technology. These include the development of a method for measuring and specifying the strength of the signal in the mVEP response (aim 1b). Specific studies are proposed to understand the contribution of cone pathways to the mVEP, to assess repeat reliability, to optimize recording techniques, and to develop norms. The second long-term objective is to improve our understanding of the sites and mechanisms of particular diseases of the retina/optic nerve through studies employing behavioral (e.g. visual fields), structural (e.g. nerve fiber layer analysis) and electrophysiological techniques (e.g. mERG and mVEP). As part of aim 2, the mERG and visual field measures will be employed to better understand retinal damage in patients with retinitis pigmentosa and diabetic retinopathy and to assess possible damage following retinal surgery for macular holes and macular pucker. In addition, the sites and mechanisms of glaucomatous damage will be studied. These studies include a comparison of structural and functional measures to better understand the mechanism(s) of damage, an attempt to detect early damage, an assessment of the effect of acute decreases in intraocular pressure, and an assessment of whether there are selective deficits in the cone pathways. Finally, patients with acute optic neuritis will be followed with behavioral and mVEP techniques. An attempt will be made to understand the recovery o vision following optic neuritis (ON).

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY002115-28
Application #
6795336
Study Section
Visual Sciences B Study Section (VISB)
Program Officer
Liberman, Ellen S
Project Start
1977-08-01
Project End
2005-07-31
Budget Start
2004-08-01
Budget End
2005-07-31
Support Year
28
Fiscal Year
2004
Total Cost
$408,750
Indirect Cost
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
Hood, Donald C; De Moraes, Carlos Gustavo (2018) Challenges to the Common Clinical Paradigm for Diagnosis of Glaucomatous Damage With OCT and Visual Fields. Invest Ophthalmol Vis Sci 59:788-791
Wu, Zhichao; Weng, Denis S D; Rajshekhar, Rashmi et al. (2018) Effectiveness of a Qualitative Approach Toward Evaluating OCT Imaging for Detecting Glaucomatous Damage. Transl Vis Sci Technol 7:7
De Moraes, Carlos Gustavo; Muhammad, Hassan; Kaur, Khushmit et al. (2018) Interindividual Variations in Foveal Anatomy and Artifacts Seen on Inner Retinal Probability Maps from Spectral Domain OCT Scans of the Macula. Transl Vis Sci Technol 7:4
Mavrommatis, Maria A; Wu, Zhichao; Naegele, Saskia I et al. (2018) Deep Defects Seen on Visual Fields Spatially Correspond Well to Loss of Retinal Nerve Fiber Layer Seen on Circumpapillary OCT Scans. Invest Ophthalmol Vis Sci 59:621-628
Hood, Donald C; De Moraes, Carlos G (2018) Four Questions for Every Clinician Diagnosing and Monitoring Glaucoma. J Glaucoma 27:657-664
Wu, Zhichao; Weng, Denis S D; Thenappan, Abinaya et al. (2018) Comparison of Widefield and Circumpapillary Circle Scans for Detecting Glaucomatous Neuroretinal Thinning on Optical Coherence Tomography. Transl Vis Sci Technol 7:11
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

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