Hengyi Cao

This paper introduces re-PLS Learning to predict multiple AD outcomes from brain cortical thickness, identifying joint predictive regions across cohorts.

This study examines how phase encoding direction affects test-retest reliability of the human functional connectome using fMRI data from two scanning sessions.

This study evaluates the test-retest reliability and sex/age-related effects on the temporal clustering coefficient of dynamic brain networks using resting-state fMRI data from the Human Connectome Project.

The paper identifies neural mediators and brain regions associated with behavioral symptoms and psychosis onset using high-dimensional functional mediation analysis in clinical high-risk individuals.

The paper examines longitudinal changes in resting-state brain networks in individuals at clinical high risk for psychosis and finds reduced network efficiency and increased diversity in those who later develop psychosis.

The paper assesses the reliability of functional connectomic measures across different scanners, sessions, and paradigms, finding fair to excellent reliability and demonstrating achievable statistical power in multisite studies.