Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation.

ABSTRACT:

Background

The current literature shows a strong relationship between retinal neuronal and vascular alterations in dementia. The purpose of the study was to use NFN+ deep learning models to analyze retinal vessel characteristics for cognitive impairment (CI) recognition.

Methods

We included 908 participants from a community-based cohort followed for over 15 years (the prospective KaiLuan Study) who underwent brain magnetic resonance imaging (MRI) and fundus photography between 2021 and 2022. The cohort consisted of both cognitively healthy individuals (N = 417) and those with cognitive impairment (N = 491). We employed the NFN+ deep learning framework for retinal vessel segmentation and measurement. Associations between Retinal microvascular parameters (RMPs: central retinal

SUBMITTER: Li R 

PROVIDER: S-EPMC10770952 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature