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Article

Unveiling genetic architecture of white matter microstructure through unsupervised deep representation learning of fractional anisotropy maps

2025-07-05

Abstract excerpt

Fractional anisotropy (FA) derived from diffusion MRI is a widely used marker of white matter (WM) integrity. However, conventional FA-based genetic studies focus on phenotypes representing tract- or atlas-defined averages, which may oversimplify spatial patterns of WM integrity and thus limit the genetic discovery. Here, we proposed a deep learning–based framework, termed unsupervised deep representation of WM (U...

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Literature Corpus work
ff3b4a1d-19b8-569e-8a69-82eca49a2b15
DOI
10.1101/2025.07.04.25330856
Open publication

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Unveiling genetic architecture of white matter microstructure through unsupervised deep representation learning of fractional anisotropy mapsDOI 10.1101/2025.07.04.25330856
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