Ethan T. Whitman

The paper introduces DunedinPACNI, a brain MRI-based aging measure that predicts dementia conversion, morbidity, and mortality.

This paper introduces a stacking machine learning approach to improve predictability, test-retest reliability, and generalisability of brain-wide associations for cognitive abilities using multimodal MRI data.

The paper examines how different gene dosage disorders affect the human brain using multimodal neuroimaging, revealing diverse cortical changes and a shared vulnerability axis aligned with psychiatric disorders.

The paper examines how functional topography of neocortical networks in midlife relates to covariation in motor and cognitive abilities, finding that motor ability reflects functional topography differences while hearing does not.

This study maps resting-state functional connectivity changes in Klinefelter syndrome and links them to brain anatomy and psychopathology.