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.

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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
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article

Machine Learning Analysis Reveals Distinct Neuroimaging Biomarker Patterns Across Ethnic Groups in Alzheimer's Disease

Daniel Gibbs, J. Camille Hall, Ben Black, Sid E. O'Bryant et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Machine Learning Analysis Reveals Distinct Neuroimaging Biomarker Patterns Across Ethnic Groups in Alzheimer's Disease

Daniel Gibbs, J. Camille Hall, Ben Black, Sid E. O'Bryant, Leigh A. Johnson, Fan Zhang, Melissa Petersen
article en

Abstract

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.

Alzheimer s & DementiaVol. 21(S2)
University of North Texas (US), University of North Texas Health Science Center (US), Texas College (US)
Openalex Percentile: Top 35%
Dementia and Cognitive Impairment Research
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Machine Learning Analysis Reveals Distinct Neuroimaging Biomarker Patterns Across Ethnic Groups in Alzheimer's Disease — Daniel Gibbs, J. Camille Hall, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS