Alyssa Dai

The paper compares five algorithms for deriving structural covariance networks in the thalamocortical system and finds they emphasize different neurobiological aspects based on their mathematical properties.

Nipoppy standardizes neuroimaging data workflows to enable reproducible and comparable multi-center data sharing.

The paper discusses challenges in federated analysis for multisite neuroinformatics studies and presents solutions from recent projects.

The paper examines individual variability in microstructural-functional coupling in the human cortex using MRI data and identifies coupling patterns linked to cognitive performance.

The paper examines age-related trajectories of MRI cortical markers and finds high spatial overlap but divergent age trends, suggesting different microstructural origins for these markers.

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

This paper uses neuroimaging data to analyze how multiple brain morphometric features covary across development and their associations with behavior, age, and socioeconomic status.