Sana Suri

This study finds that adult brain age is more influenced by early life factors like birth weight and polygenic scores than by longitudinal brain decline.

The paper examines how education and income relate to brain and cognitive differences across European and US cohorts, finding heterogeneous effects and stronger associations in US samples.

This paper harmonises white matter hyperintensity measurements across two neuroimaging datasets by standardising preprocessing and modelling demographic and physiological differences.

This paper identifies two latent brain structure-cognition associations in aging using longitudinal data from the Whitehall II Study, showing how structural variations predict cognitive decline and maintenance.

The paper predicts brain age using multimodal MRI data from the Whitehall II cohort and links brain aging to cardiovascular risk factors.

This study links a history of childbirths to region-specific brain aging patterns in middle and older-aged women using brain-age prediction methods.

The paper examines the relationship between self-reported sleep parameters and cortical thinning in aging, finding associations with specific brain regions but not with memory decline or amyloid-β accumulation.

This study examines the relationship between mid-life and late life leisure activities and MRI measures of brain structure and functional connectivity in older adults from the UK Biobank.

The paper examines how self-reported sleep relates to hippocampal atrophy across adulthood using data from the Lifebrain consortium and UK Biobank, finding that worse sleep is linked to faster hippocampal volume loss over time.