Convolutional neural network-based classification of glaucoma using optic radiation tissue properties.

ABSTRACT:

Background

Sensory changes due to aging or disease can impact brain tissue. This study aims to investigate the link between glaucoma, a leading cause of blindness, and alterations in brain connections.

Methods

We analyzed diffusion MRI measurements of white matter tissue in a large group, consisting of 905 glaucoma patients (aged 49-80) and 5292 healthy individuals (aged 45-80) from the UK Biobank. Confounds due to group differences were mitigated by matching a sub-sample of controls to glaucoma subjects. We compared classification of glaucoma using convolutional neural networks (CNNs) focusing on the optic radiations, which are the primary visual connection to the cortex, against those analyzing non-visual brain connections. As a control, we evaluated the performance of reg

SUBMITTER: Kruper J 

PROVIDER: S-EPMC11009254 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature