Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study

Datasets

In our analysis, we used six datasets: the UK Biobank¹⁵, the Alzheimer’s Disease Neuroimaging Initiative (ADNI)¹⁶, the Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL)¹⁷, the Alzheimer’s Disease Repository Without Borders (ARWiBo)^{18, 19}, the Open Access Series of Imaging Studies: Cross-Sectional (OASIS-1)²⁰, and the Minimal Interval Resonance Imaging in Alzheimer’s Disease (MIRIAD)²¹.

The UK Biobank is a study that aims to follow the health and well-being of 500,000 volunteer participants across the United Kingdom. From these participants, a subsample was chosen to collect multimodal imaging, including structural neuroimaging. Here, we used an early release of the project’s data comprising of 11,034 HC participants. The inclusion criteria for the present study were: (a) subjects who had the data collected in the same MRI scanner (from Cheadle centre),…