Yunglin Gazes

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

The paper introduces cpCST, a new attention assessment task, showing high reliability, age invariance, and predictive validity for cognitive and cardiorespiratory fitness.

This study examines age-related differences in cognitive abilities using fMRI and diffusion imaging, finding that vocabulary-related brain regions are better maintained with age than fluid abilities.

The paper investigates how low white matter microstructure in young adults correlates with white matter hyperintensities in older adults, finding that normatively low fractional anisotropy regions are more prone to damage.