One long-term objective is to understand the mechanisms involved in diseases, particularly glaucoma, that damages the ganglion cell/optic nerve. The multifocal VEP is a relatively new, objective, and noninvasive, technique for assessing local ganglion cell/optic nerve damage.
Aim 1 seeks a better understanding of the mechanisms of glaucomatous damage by comparing multifocal VEP recordings, behavioral measures of visual sensitivity and structural measures of ganglion cell loss. To aid in these comparisons, two theoretical frameworks/models are proposed, one relates the mfVEP amplitude to behavioral sensitivity, while the other relates each of these measures to ganglion cell loss. Experiments are proposed to test these models. In addition, as it is important from the perspective of neuro-protection to know if there are ganglion cells that are functioning abnormally, evidence of """"""""sick"""""""" ganglion cells will be sorted by examining the latency of mfVEP responses. Multiple sclerosis associated with optic neuritis also affects ganglion cell/optic nerve function. The multifocal VEP is uniquely qualified for examining local changes in conduction latencies over time. To improve our understanding of structural and functional damage due to optic neuritis, Aim 2 asks about the long-term recovery in latency that is reported to occur in some patients. To improve the utility of the multifocal VEP for both clinical and basic science, we need a better understanding of the relationship between the multifocal VEP and the underlying cortical physiology.
In Aim 3, a model is proposed that relates the amplitude of the multifocal VEP to V1 cortical physiology. The assumptions of this model are tested in a series of experiments. A second long-term objective is to improve our methods for detecting ganglion cell/optic nerve damage. The experiments under Aim 4 are designed to improve on the currently available methods of recording and analyzing the multifocal VEP.
The aim i s to improve the efficacy of the multifocal VEP technique in the clinic. ? ?

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY002115-31
Application #
7269859
Study Section
Central Visual Processing Study Section (CVP)
Program Officer
Liberman, Ellen S
Project Start
1977-08-01
Project End
2010-07-31
Budget Start
2007-08-01
Budget End
2008-07-31
Support Year
31
Fiscal Year
2007
Total Cost
$390,840
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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