Author

R. Moqadam

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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. · medRxiv · 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. · medRxiv · 0 citations

Open access Sep 2026

Automatic Quality Control and Error Correction in MRI linear registration via a Residual Parameter Prediction Network for T1w MRI

Errors in linear registration can propagate to downstream nonlinear registration and bias volumetric estimations, deformation-based morphometry (DBM) and voxel-based morphometry (VBM) analyses. Subtle linear registration errors are particularly challenging as they are difficult to detect and may not result in obvious f...

Zhao-Jin Chen, R. Moqadam, A. Metz et al. · bioRxiv · 0 citations

Open access Sep 2026

T2 relaxometry for myelin water fraction: an ex vivo brain imaging study

Introduction Myelin water imaging provides a non-invasive approach for indirectly investigating myelin content of the brain by magnetic resonance Imaging (MRI). Myelin water fraction (MWF) reflects the fraction of water signal associated with water trapped between myelin layers. Postmortem imaging provides a unique opp...

L. Sanches, Narges Taghizadehsalehabad, R. Moqadam et al. · bioRxiv · 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. · medRxiv · 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. · medRxiv · 0 citations