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
BACKGROUND
Post-acute sequelae of SARS-CoV-2 infection, more commonly known as long COVID, has emerged as a major health problem. The pathogenesis of long COVID is unknown, but among the leading hypotheses is viral persistence. We aimed to investigate whether the use of the SARS-CoV-2 antiviral nirmatrelvir-ritonavir i...
L. Baden, N. Shah, Sean T. H. Liu et al.· Lancet. Infectious Diseases...· 0 citations
Abstract Brain age gap estimation (BrainAGE) is a promising imaging-derived biomarker of neurobiological ageing and disease risk, yet current approaches rely predominantly on T1-weighted structural MRI, overlooking functional vascular changes that may precede tissue damage and cognitive decline. Deep learning-derived c...
Jordan Jomsky, Zongyu Li, K. Igwe et al.· Brain Communications· 1 citation
Frontotemporal lobar degeneration (FTLD) is a common cause of early-onset dementias marked by progressive declines in behavior, cognition, and/or movement. FTLD neuropathologies, including TDP-43 proteinopathies and primary tauopathies, do not have reliable fluid biomarkers for in-vivo diagnosis nor biomarkers that dir...
H. Oh, J. Downer, Connor D. Dietz et al.· bioRxiv· 0 citations
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