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Global and regional annual brain volume loss rates in physiological aging
by
Spies, Lothar
, Schippling, Sven
, Gocke, Carola
, Ostwaldt, Ann-Christin
, Huppertz, Hans-Jürgen
, Manogaran, Praveena
, Opfer, Roland
, Suppa, Per
in
Adolescent
/ Adult
/ Age
/ Aged
/ Aged, 80 and over
/ Aging
/ Aging - pathology
/ Atrophy
/ Brain
/ Brain - diagnostic imaging
/ Brain - pathology
/ Cohort Studies
/ Cross-Sectional Studies
/ Disease prevention
/ Female
/ Germany
/ Gray Matter - diagnostic imaging
/ Gray Matter - pathology
/ Humans
/ Magnetic resonance imaging
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Multiple sclerosis
/ Neurology
/ Neuroradiology
/ Neurosciences
/ Organ Size
/ Original Communication
/ Pathology
/ Physiology
/ Prevention programs
/ Psychotropic drugs
/ Scanners
/ White Matter - diagnostic imaging
/ White Matter - pathology
/ Young Adult
2017
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Global and regional annual brain volume loss rates in physiological aging
by
Spies, Lothar
, Schippling, Sven
, Gocke, Carola
, Ostwaldt, Ann-Christin
, Huppertz, Hans-Jürgen
, Manogaran, Praveena
, Opfer, Roland
, Suppa, Per
in
Adolescent
/ Adult
/ Age
/ Aged
/ Aged, 80 and over
/ Aging
/ Aging - pathology
/ Atrophy
/ Brain
/ Brain - diagnostic imaging
/ Brain - pathology
/ Cohort Studies
/ Cross-Sectional Studies
/ Disease prevention
/ Female
/ Germany
/ Gray Matter - diagnostic imaging
/ Gray Matter - pathology
/ Humans
/ Magnetic resonance imaging
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Multiple sclerosis
/ Neurology
/ Neuroradiology
/ Neurosciences
/ Organ Size
/ Original Communication
/ Pathology
/ Physiology
/ Prevention programs
/ Psychotropic drugs
/ Scanners
/ White Matter - diagnostic imaging
/ White Matter - pathology
/ Young Adult
2017
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Global and regional annual brain volume loss rates in physiological aging
by
Spies, Lothar
, Schippling, Sven
, Gocke, Carola
, Ostwaldt, Ann-Christin
, Huppertz, Hans-Jürgen
, Manogaran, Praveena
, Opfer, Roland
, Suppa, Per
in
Adolescent
/ Adult
/ Age
/ Aged
/ Aged, 80 and over
/ Aging
/ Aging - pathology
/ Atrophy
/ Brain
/ Brain - diagnostic imaging
/ Brain - pathology
/ Cohort Studies
/ Cross-Sectional Studies
/ Disease prevention
/ Female
/ Germany
/ Gray Matter - diagnostic imaging
/ Gray Matter - pathology
/ Humans
/ Magnetic resonance imaging
/ Male
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Multiple sclerosis
/ Neurology
/ Neuroradiology
/ Neurosciences
/ Organ Size
/ Original Communication
/ Pathology
/ Physiology
/ Prevention programs
/ Psychotropic drugs
/ Scanners
/ White Matter - diagnostic imaging
/ White Matter - pathology
/ Young Adult
2017
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Global and regional annual brain volume loss rates in physiological aging
Journal Article
Global and regional annual brain volume loss rates in physiological aging
2017
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Overview
The objective is to estimate average global and regional percentage brain volume loss 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). Brain parenchyma (BP), grey matter (GM), 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 BP was an increasing function starting from 0.20% at the age of 35 years increasing to 0.52% at 70 years (corresponding values for GM 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 BP, 0.04% for GM, 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 volume loss in disease models, such as multiple sclerosis.
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