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Author

M. Dadar

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Open access Sep 2026

Predicting Conversion from SCD to MCI: A Machine Learning Study

BACKGROUND: Subjective cognitive decline (SCD) may precede mild cognitive impairment (MCI), but not all individuals with SCD progress to MCI. Identifying which individuals are most likely to convert and over what time frame remains an important goal in Alzheimer's disease research. MRI measures of white matter hyperint...

F. Kamal, A. Metz, K. Chadwick et al. · 0 citations
Open access Oct 2026

Contribution of cerebrovascular lesions to neurodegeneration and cognitive decline

Introduction: Cerebral small vessel disease (CSVD) lesions, including white matter hyperintensities (WMHs), lacunar infarcts, cerebral microbleeds (CMBs), and enlarged perivascular spaces (PVSs) are associated with increased risk of dementia. In this study, we aimed to examine their associations with risk factors, neur...

Z. Chen, S. Raeesi, A. Metz et al. · 0 citations
Open access Sep 2026

Vascular and neurodegenerative contributions to cognitive decline and multidomain progression in de novo Parkinsons disease

INTRODUCTION: Cognitive decline in Parkinsons disease (PD) may reflect interacting neurodegenerative and cerebrovascular processes, but their distinct temporal contributions remain unclear. METHODS: Newly diagnosed, untreated PD participants from the PPMI who were cognitively normal at baseline and had at least three y...

R. Moqadam, H. Azizi, S. Raeesi et al. · 0 citations
Open access Sep 2026

Sex Differences in the Associations between Education, Neuropathology, and Cognition

Higher education was associated with lower selected Alzheimer's disease neuropathologic measures and weaker associations of tau pathology with cognition among female participants, and longitudinal trajectories were nonlinear.

S. Raeesi, Y. Zeighami, C. Morrison et al. · 0 citations
Open access Sep 2026

Data-driven subtypes of Alzheimer’s Disease: A multicohort study

These findings, replicated in four diverse and independent datasets, support imaging-based subtyping as a scalable and clinically translatable approach for capturing heterogeneity in AD pathophysiology and associated cognitive trajectories.

A. Metz, Cassandra Polizzi, R. Moqadam et al. · 0 citations

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