Across several datasets, faster DunedinPACNI was associated with poor cognition, physical frailty, poor health, and worse cognitive status. Furthermore, faster DunedinPACNI predicted faster hippocampal atrophy, earlier onset of chronic disease, dementia, and mortality.

Do you want to estimate brain aging from a single MRI scan?

Check out our latest work in Nature Aging

"DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease"

This precision allowed us to see clear deviations from expected aging when they arose. In a striking example, we detected an aggressive atrophy trajectory in an individual who was cognitively unimpaired at baseline but then went on to develop an MCI diagnosis.

Critically, this reduction in error allowed us to see changes in individuals within just one year. Here are hippocampal aging trajectories in 8 individuals across one year where you can see large individual differences and the benefits of pooling multiple measurements

We found a solution - cluster scanning. Utilizing the latest advances in scan acceleration we collected several short, 1-minute long T1s to drive to measurement error within individuals ... and it worked!