Nicole Sanford

The paper develops and validates age- and sex-specific normative models of brain morphometry across diverse ethnoracial groups, showing high accuracy in multiple populations.

The paper evaluates factors affecting brain-age prediction models using structural neuroimaging data from 35,683 individuals, finding optimal model performance with no site harmonization, age-binning, and a sample size of over 1,600.

The paper benchmarks and optimizes a normative modeling framework for brain morphometry across the lifespan using MFPR, showing excellent accuracy and stability.

The paper examines sex differences in brain-age-gap estimates using neuroimaging data from the Human Connectome Project, finding sex-specific patterns in regional brain ageing and predictors of global brainAGE.

The paper analyzes fMRI data to identify brain networks involved in radio speech listening and hallucination experiences in schizophrenia, finding speech-duration-dependent responses but not hallucination-duration-dependent ones.