MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

ABSTRACT: Deep learning has emerged as a powerful approach to constructing imaging signatures of normal brain ageing as well as of various neuropathological processes associated with brain diseases. In particular, MRI-derived brain age has been used as a comprehensive biomarker of brain health that can identify both advanced and resilient ageing individuals via deviations from typical brain ageing. Imaging signatures of various brain diseases, including schizophrenia and Alzheimer's disease, have also been identified using machine learning. Prior efforts to derive these indices have been hampered by the need for sophisticated and not easily reproducible processing steps, by insufficiently powered or diversified samples from which typical brain ageing trajectories were derived, and by limited reprodu

SUBMITTER: Bashyam VM 

PROVIDER: S-EPMC7364766 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature