The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.

Mohamad HabesRaymond PomponioHaochang ShouJimit DoshiElizabeth MamourianGuray ErusIlya NasrallahLenore J LaunerTanweer RashidMurat BilgelYong FanJon B ToledoKristine YaffeAristeidis SotirasDhivya SrinivasanMark EspelandColin MastersPaul MaruffJurgen FrippHenry VölzkSterling C JohnsonJohn C MorrisMarilyn S AlbertMichael I MillerR Nick BryanHans J GrabeSusan M ResnickDavid A WolkChristos Davatzikosnull null

Published in: Alzheimer's & dementia : the journal of the Alzheimer's Association (2020)

A Brain Chart quantifying brain-aging trajectories was established, enabling the systematic evaluation of individuals' brain-aging patterns relative to this large consortium.

Keyphrases

white matter
resting state
machine learning
multiple sclerosis
functional connectivity
cerebral ischemia
computed tomography
magnetic resonance
big data
depressive symptoms
mild cognitive impairment
artificial intelligence
contrast enhanced
brain injury