Machine Learning Analysis Reveals Distinct Neuroimaging Biomarker Patterns Across Ethnic Groups in Alzheimer's Disease
Our findings reveal distinct neuroimaging biomarker patterns across ethnic groups while highlighting the consistent importance of Tau-PET measurements. The varying model performance suggests current neuroimaging biomarkers may have different sensitivities across populations. These results emphasize the need for ethnically sensitive diagnostic approaches and warrant further investigation into population-specific AD manifestations. Future research should focus on validating these ethnic-specific biomarker patterns through longitudinal studies while considering additional factors such as genetics and social determinants of health.
Authors
- Daniel Gibbs
- J. Camille Hall (ORCID: https://orcid.org/0000-0002-9455-6522)
- Ben Black
- Sid E. O'Bryant
- Leigh A. Johnson
- Fan Zhang
- Melissa Petersen
Institutions
- University of North Texas (US)
- University of North Texas Health Science Center (US)
- Texas College (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_096883
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00