December 2023
Volume 23, Issue 15
Open Access
Optica Fall Vision Meeting Abstract  |   December 2023
Contributed Session I: Specific and non-linear effects of glaucoma on optic radiation tissue properties
Author Affiliations
  • John Kruper
    University of Washington
  • Adam Richie-Halford
    Stanford University
  • Noah Benson
    University of Washington
  • Sendy Caffarra
    University of Modena
  • Julia Owen
    University of Washington
  • Yue Wu
    University of Washington
  • Aaron Lee
    University of Washington
  • Cecilia Lee
    University of Washington
  • Jason Yeatman
    Stanford University
  • Ariel Rokem
    University of Washington
Journal of Vision December 2023, Vol.23, 73. doi:
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      John Kruper, Adam Richie-Halford, Noah Benson, Sendy Caffarra, Julia Owen, Yue Wu, Aaron Lee, Cecilia Lee, Jason Yeatman, Ariel Rokem; Contributed Session I: Specific and non-linear effects of glaucoma on optic radiation tissue properties . Journal of Vision 2023;23(15):73.

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      © ARVO (1962-2015); The Authors (2016-present)

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Changes in sensory input with aging and disease affect brain tissue properties. To establish the link between glaucoma, the most prevalent cause of irreversible blindness, and changes in major brain connections, we characterized white matter tissue properties in diffusion MRI measurements in a large sample of subjects with glaucoma (N=905; age 49-80) and healthy controls (N=5,292; age 45-80) from the UK Biobank. Confounds due to group differences were mitigated by matching a sub-sample of controls to glaucoma subjects. A convolutional neural network (CNN) accurately classified whether a subject has glaucoma using information from the primary visual connection to cortex (the optic radiations, OR), but not from non-visual brain connections. On the other hand, regularized linear regression could not classify glaucoma, and the CNN did not generalize to classification of age-group or of age-related macular degeneration. This suggests a unique non-linear signature of glaucoma in OR tissue properties.

 Funding: Funding: This project was funded by NSF grant 1934292 (PI: Balazinska), NIH grant R01 AG 060942 (PI: Lee), NEI grant R01 EY033628 (PI: Benson), NIH grant RF1 MH121868 (PI: Rokem), NIH grant R01HD095861 (PI: Yeatman). SC was funded by the “Rita Levi Montalcini” program, granted by the Italian Ministry of University and Research (MUR). Unrestricted and career development award from RPB (Julia Owen, Yue Wu, Cecilia Lee, Aaron Lee), Latham Vision Science Awards (Julia Owen, Yue Wu, Cecilia Lee, Aaron Lee), NEI/NIH K23EY029246 (Aaron Lee) and NIA/NIH U19AG066567 (Julia Owen, Yue Wu, Cecilia Lee, Aaron Lee, Ariel Rokem).

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