UNASSIGNED: The objective is to estimate average global and regional percentage brain @entity393 per year (BVL/year) of the physiologically ageing brain. Two independent, cross-sectional single scanner cohorts of healthy subjects were included. The first cohort (n  =  248) was acquired at the Medical Prevention Center (MPCH) in Hamburg, Germany. The second cohort (n  =  316) was taken from the Open Access Series of Imaging Studies (OASIS). @entity75 ( @entity75 ), @entity62 ( @entity62 ), white matter (WM), corpus callosum (CC), and thalamus volumes were calculated. A non-parametric technique was applied to fit the resulting age-volume data. For each age, the BVL/year was derived from the age-volume curves. The resulting BVL/year curves were compared between the two cohorts. For the MPCH cohort, the BVL/year curve of the @entity75 was an increasing function starting from 0.20% at the age of 35  years increasing to 0.52% at 70  years (corresponding values for @entity62 ranged from 0.32 to 0.55%, WM from 0.02 to 0.47%, CC from 0.07 to 0.48%, and thalamus from 0.25 to 0.54%). Mean absolute difference between BVL/year trajectories across the age range of 35-70  years was 0.02% for @entity75 , 0.04% for @entity62 , 0.04% for WM, 0.11% for CC, and 0.02% for the thalamus. Physiological BVL/year rates were remarkably consistent between the two cohorts and independent from the scanner applied. Average BVL/year was clearly age and compartment dependent. These results need to be taken into account when defining cut-off values for pathological annual brain @entity393 in disease models, such as @entity15 .

Global and regional annual brain XXXX rates in physiological aging.

@entity75 :: ('MESH:D001927', 'Disease') :: ['Brain parenchyma', 'BP'] @entity393 :: ('MESH:D034381', 'Disease') :: ['volume loss'] @entity15 :: ('MESH:D009103', 'Disease') :: ['multiple sclerosis'] @entity62 :: ('MESH:D056784', 'Disease') :: ['GM', 'grey matter']
@entity393 :: (MESH:D034381,Disease) :: ['volume loss']
