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K. Casaletto

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Open access Oct 2026

Classification Matters: Divergent Estimates of Dementia Risk Factors in the Health and Retirement Study.

Clinical dementia diagnosis requires substantial expertise and is complex and costly. Therefore, large population-based studies often lack gold-standard longitudinal diagnoses and instead use classification algorithms employing cognitive, functional, and health-related measures to identify dementia. We evaluated whethe...

Gina E. Nam, Jun-Xian Liu, Suhani Amin et al. · 0 citations
Open access Oct 2026

Large-scale cerebrospinal fluid proteomics identifies diagnostic biomarker candidates across the clinico-pathological continuum of frontotemporal lobar degeneration

Frontotemporal lobar degeneration (FTLD), predominantly comprised of tau and TDP-43 proteinopathies, is a common cause of early-onset dementia. Biomarkers that reliably classify FTLD subtypes are limited, thereby hindering in-vivo diagnosis and clinical trial stratification. We conducted large-scale, multi-platform cer...

R. Saloner, L. Cornelis, Joshua Downer et al. · 0 citations
Open access Sep 2026

Blood proteomics of menopause map to brain aging and dementia risk.

It is shown that spontaneous menopause is characterized by dysregulation in inflammatory, synaptic, metabolic and Alzheimer's disease biologic processes, which tracked more strongly with hormones than with age.

Madeline Wood Alexander, Jennifer S. Rabin, Michelle R. Caunca et al. · 1 citation
Open access Sep 2026

Smartphone Passive Digital Phenotyping in Frontotemporal Lobar Degeneration

Introduction: Frontotemporal lobar degeneration (FTLD) is a devastating disease that commonly results in early onset dementia, yet its rarity and heterogeneity limit large-scale research and clinical trials. Remote monitoring via low-burden digital health tools may overcome these barriers. We evaluated clinical utility...

E. Paolillo, Sreya Dhanam, J. Taylor et al. · 0 citations
Open access Jul 2026

Amyloid PET Quantitation and Centiloid Thresholds in the Diagnosis of Alzheimer Disease: An Individual Participant Data Meta-Analysis.

A double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use, and positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads).

G. Blazhenets, D. Soleimani-Meigooni, Konstantinos Chiotis et al. · 5 citations

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