Ayda Rostamzadeh

This paper introduces an automated method to quantify white matter hyperintensity confluence, showing it correlates with cognitive performance and dementia subtypes beyond volume.

The paper examines how disrupted forward connectivity in the parieto-temporal network relates to memory impairment and AD pathology using fMRI and DCM in a longitudinal study.

This study examines how episodic memory network dysfunction relates to AD biomarkers, neurodegeneration, and cognition using longitudinal fMRI data from the DZNE study.

This paper introduces ELSI-Net, a deep learning method for automated Locus Coeruleus segmentation and feature extraction in aging and Alzheimer's Disease dementia, showing high agreement with manual ratings and correlations to CSF biomarkers.

The paper links cognitive reserve to brain activity during memory formation, showing it moderates the impact of Alzheimer's pathology on cognitive performance and predicts slower decline.

This paper introduces SMAS, a Bayesian VAE-based AD score from structural MRI data, showing strong correlations with cognitive decline and brain atrophy markers, and outperforming existing measures in predicting AD.

The paper examines if fractional anisotropy of the fornix mediates the link between Mediterranean diet adherence and verbal memory decline in older adults over four years.

The paper identifies diagnostic images that correlate with Alzheimer's biomarkers and show differential neural processing in MCI patients compared to healthy controls.