Brain age prediction and early neurodegeneration detection using contrastive learning on brain biomechanics: a retrospective, multicentre study.

ABSTRACT:

Background

One of the main reasons why drugs for neurodegenerative diseases often fail is that treatment typically begins only after symptoms have appeared-by which point significant, and possibly irreversible, damage may have already occurred. Non-invasive imaging techniques, such as Magnetic Resonance Imaging (MRI), have previously been explored for presymptomatic diagnosis, but with limited success. More recently, Magnetic Resonance Elastography (MRE)-a technique capable of mapping the brain's biomechanical properties, including stiffness and damping ratio-has shown promise in detecting early changes. However, current studies have been limited by small sample sizes, and a lack of robust algorithms capable of accurately interpreting data under such constraints.

Methods

We

SUBMITTER: Trauble J 

PROVIDER: S-EPMC12616099 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature