Staging and Pseudotime Inference of Alzheimer's Disease Progression
Integrative analysis of multiple computational methods allows for higher confidence in disease progression timings. Our results suggest that amyloid and tau-associated biomarkers follow distinct trajectories in the cortex, and that different computational approaches independently arrive at similar results. While this work generates sequences of staging events and pseudotime values of disease trajectories, future work is needed to validate the putative biomarker events and connect pseudotime to real-time disease progression.
Authors
- Zixuan Wen (ORCID: https://orcid.org/0000-0002-4573-4134)
- Heng Huang (ORCID: https://orcid.org/0000-0002-3741-7024)
- Christos A. Davatzikos (ORCID: https://orcid.org/0000-0002-1025-8561)
- Andrew Joel Saykin
- Zexuan Wang
- Jingwen Yan
- Akira A Nair
- Li Shen
- Paul M. Thompson
Institutions
- University of Southern California (US)
- University of Indianapolis (US)
- Indianapolis Zoo (US)
- Indiana University – Purdue University Indianapolis (US)
- University of Maryland, College Park (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_098857
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00