Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function.

ABSTRACT:

Background

The glymphatic system plays a critical role in brain waste clearance and health. Diffusion tensor imaging along the perivascular space (DTI-ALPS) is an emerging approach to assess glymphatic function, but manual analysis is limited by its subjectivity and laboriousness in clinical practice. To address these challenges, we developed a deep learning-enhanced DTI-ALPS (dALPS) method that automates and enhances measurement of DTI-ALPS in large-scale cohorts, enabling us to uncover its genetic and environmental determinants.

Methods

We proposed an automated workflow combining convolutional neural network (CNN) and You Only Look Once (YOLO) for region-of-interest detection in DTI images. Using this method, we calculated dALPS index for over 65,000 participants from UK B

SUBMITTER: Lin C 

PROVIDER: S-EPMC12878677 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature