Larry J. Seidman

The paper examines resting-state fMRI data from high-risk individuals to determine if abnormal functional connectivity in the dentate nuclei precedes psychosis onset.

The paper investigates genetic risk for psychosis spectrum symptoms in youth, finding a significant link with ADHD polygenic scores and age-specific effects.

The paper evaluates MMN reliability across multiple EEG sites using different preprocessing methods, finding that mastoid referencing improves reliability.

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.