Journal article
Contributions of Brain Microstructures and Metabolism to Visual Field Loss Patterns in Glaucoma Using Archetypal and Information Gain Analyses
Investigative ophthalmology & visual science, v 65(8), 15
01 Jul 2024
PMID: 38975942
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
To investigate the contributions of the microstructural and metabolic brain environment to glaucoma and their association with visual field (VF) loss patterns by using advanced diffusion magnetic resonance imaging (dMRI), proton magnetic resonance spectroscopy (MRS), and clinical ophthalmic measures.
Sixty-nine glaucoma and healthy subjects underwent dMRI and/or MRS at 3 Tesla. Ophthalmic data were collected from VF perimetry and optical coherence tomography. dMRI parameters of microstructural integrity in the optic radiation and MRS-derived neurochemical levels in the visual cortex were compared among early glaucoma, advanced glaucoma, and healthy controls. Multivariate regression was used to correlate neuroimaging metrics with 16 archetypal VF loss patterns. We also ranked neuroimaging, ophthalmic, and demographic attributes in terms of their information gain to determine their importance to glaucoma.
In dMRI, decreasing fractional anisotropy, radial kurtosis, and tortuosity and increasing radial diffusivity correlated with greater overall VF loss bilaterally. Regionally, decreasing intra-axonal space and extra-axonal space diffusivities correlated with greater VF loss in the superior-altitudinal area of the right eye and the inferior-altitudinal area of the left eye. In MRS, both early and advanced glaucoma patients had lower gamma-aminobutyric acid (GABA), glutamate, and choline levels than healthy controls. GABA appeared to associate more with superonasal VF loss, and glutamate and choline more with inferior VF loss. Choline ranked third for importance to early glaucoma, whereas radial kurtosis and GABA ranked fourth and fifth for advanced glaucoma.
Our findings highlight the importance of non-invasive neuroimaging biomarkers and analytical modeling for unveiling glaucomatous neurodegeneration and how they reflect complementary VF loss patterns.
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Details
- Title
- Contributions of Brain Microstructures and Metabolism to Visual Field Loss Patterns in Glaucoma Using Archetypal and Information Gain Analyses
- Creators
- Yueyin Pang - New York UniversityJi Won Bang - New York UniversityAnisha Kasi - New York UniversityJeremy Li - New York UniversityCarlos Parra - New York UniversityEls Fieremans - New York UniversityGadi Wollstein - New York UniversityJoel S Schuman - Drexel UniversityMengyu Wang - Massachusetts Eye and Ear InfirmaryKevin C Chan - New York University
- Publication Details
- Investigative ophthalmology & visual science, v 65(8), 15
- Publisher
- ARVO
- Grant note
- R01 EY013178 / NEI NIH HHS R01 NS088040 / NINDS NIH HHS P41 EB017183 / NIBIB NIH HHS R01 EY028125 / NEI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering and Science
- Web of Science ID
- WOS:001290315100012
- Scopus ID
- 2-s2.0-85198090620
- Other Identifier
- 991022202523004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Ophthalmology