Christian L. Dansereau

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.

The paper identifies a functional connectivity endophenotype that significantly increases ASD diagnosis risk and generalizes across independent data.

The paper identifies a predictive signature of cognition and brain atrophy for progression to Alzheimer’s dementia using machine learning, validated in two MCI cohorts with high positive predictive value.

This study uses data-driven clustering to identify spatial patterns of tau-PET distribution in Alzheimer’s disease and compares them to pathology-driven ROIs, finding two clusters with strong cognitive associations.

This study evaluates how well schizophrenia classification using functional brain connectivity generalizes across different sites and cognitive contexts, finding better performance with multisite training data.

The paper identifies subtypes of functional brain connectivity in older adults linked to Alzheimer's disease symptoms and risk factors.

This study reviews and analyzes functional connectivity changes in Alzheimer's disease and mild cognitive impairment using resting-state fMRI, finding consistent alterations in key networks.