Unveiling the genetic architecture of white matter tracks through unsupervised deep representation learning of fractional anisotropy images

Abstract

Background: Fractional anisotropy (FA) is a widely used MRI biomarker for assessing the microstructural integrity of white matter (WM) in diffusion MRI studies. It is crucial for understanding neurodevelopment, brain aging, and pathologies like Alzheimer's Disease. Most studies have utilized white‐matter tract atlases (i.e.

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