Unveiling the genetic architecture of white matter tracks through unsupervised deep representation learning of fractional anisotropy images
Our proposed UDIP-FAs provide a more unbiased and heritable description of WM, and help unveiling the genetic structure of WM, offering a potentially effective approach to exploring biological mechanism linking WM and brain disorders.
Authors
- Degui Zhi (ORCID: https://orcid.org/0000-0001-7754-1890)
- Ziqian Xie (ORCID: https://orcid.org/0000-0001-6541-1773)
- Xingzhong Zhao (ORCID: https://orcid.org/0000-0002-7508-0856)
- Wei He (ORCID: https://orcid.org/0000-0003-2377-7456)
- Myriam Fornage
Institutions
- Brown Foundation (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_101952
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00