Deep Learning Framework for Characterizing Tau‐PET Spatial Heterogeneity along AD Spectrum: A Self‐supervised Approach
This study leveraged tau-PET data to identify spatial heterogeneity in AD. Multimodal analyses highlighted anatomical, cognitive, and functional connectivity differences between subtypes, emphasizing the potential of deep learning models to explore AD pathology.
Authors
- Selena Wang (ORCID: https://orcid.org/0000-0002-4358-5382)
- Carolyn Fredericks (ORCID: https://orcid.org/0000-0002-7051-6382)
- Plamena P. Powla (ORCID: https://orcid.org/0000-0002-8226-2455)
- Andrew Joel Saykin
- Connor Lee Cornelison
- Theyaneshwaran Jayaprakash
- Lu Zhang
Institutions
- Yale University (US)
- Indiana University Bloomington (US)
- Indiana University Indianapolis (US)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_102531
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00