Robert I. Reid

The paper compares three harmonization methods for multisite diffusion MRI data to reduce protocol-related variability while preserving associations with cognitive impairment and PET biomarkers.

The paper identifies that diffusion MRI biomarkers show microstructural damage up to 16 years before white matter hyperintensities in cerebral small vessel disease.

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

This study uses BUAN tractometry to assess how amyloid positivity affects white matter tracts in Alzheimer's disease, revealing localized microstructural changes associated with amyloid pathology.

The paper compares DTI and NODDI models using dMRI data from ADNI participants to assess their ability to detect AD-related biomarkers like cognitive impairment and amyloid-beta/tau pathology.

This study introduces MINT, a framework that jointly models white matter microstructure and macrostructure to better detect anomalies in MCI and dementia, showing improved sensitivity compared to traditional diffusion metrics.

The paper analyzes diffusion MRI data from ADNI3 to assess how different protocols affect diffusion indices and their association with cognitive impairment and age.