We developed a machine learning framework grounded in a computational model of brain function and FDG-PET imaging to predict Alzheimer’s disease (AD)-type tau across AD and related disorders (ADRD). The model was trained on 1088 research participants spanning normal aging and ADRD with FDG-PET and flortaucipir-PET...
Nick Corriveau-Lecavalier, Ge-Meng Zhang, H. Botha et al.· Nature Communications· 0 citations
Co‐pathologies – including Lewy body, vascular, and TDP‐43 lesions – are common in Alzheimer's disease (AD), contributing to its clinical and pathological heterogeneity. Genetic risk factors may drive mixed pathology presentation, but their influence on the development of specific co‐pathologies remains unclear.
Madison M. Reeves, Anna Calliari, Tiffany W. Todd et al.· Alzheimer's & Dementia· 0 citations
Findings lend support for PVS-BG as an early indicator of small vessel dysfunction and WMH pathogenesis and suggest that PVS-BG may identify individuals at increased risk of progressive SVD.
Audrey Low, J. Gunter, Ming-Zhao Hu et al.· Annals of Neurology· 0 citations
Diffusion MRI biomarkers were abnormal at least a decade before WMH abnormality in the population, revealing a prolonged phase of early SVD and highlighting their potential for SVD prevention.
P. Vemuri, Ming-Zhao Hu, Emily S. Lundt et al.· Stroke· 0 citations
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