A Machine Learning‐Based MRI Marker Predicts Incident Hypertension and Mediates the Relationship Between Hypertension and Cognition
Our ML-based sMRI marker predicted incident HTN prior to formal clinical diagnosis, suggesting the presence of subclinical cerebrovascular changes possibly associated with blood pressure variations. These markers, particularly relevant in midlife, offer potential for informing dementia prevention trials by enabling individualized risk stratification and potentially more sensitive measurement of therapeutic efficacy.
Authors
- Ilya M. Nasrallah (ORCID: https://orcid.org/0000-0003-2346-7562)
- Christos A. Davatzikos (ORCID: https://orcid.org/0000-0002-1025-8561)
- Dhivya Srinivasan (ORCID: https://orcid.org/0000-0001-7886-9572)
- Randa Melhem
- Haochang Shou
- Sindhuja Tirumalai Govindarajan (ORCID: https://orcid.org/0000-0003-1741-0906)
- Elizabeth Mamourian (ORCID: https://orcid.org/0000-0001-8581-4887)
- Guray Erus
- R Nick Bryan
Institutions
- Intel (United States) (US)
- University of Pennsylvania Health System (US)
- Artificial Intelligence in Medicine (Canada) (CA)
- University of Pennsylvania (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70862_109807
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00