Schippling Sven, Ostwaldt Ann-Christin, Suppa Per, Spies Lothar, Manogaran Praveena, Gocke Carola, Huppertz Hans-Jürgen, Opfer Roland
Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.
jung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
J Neurol. 2017 Mar;264(3):520-528. doi: 10.1007/s00415-016-8374-y. Epub 2017 Jan 4.
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.
目的是估计生理性衰老大脑每年的全球和区域平均脑容量损失百分比(每年脑容量损失,BVL/年)。纳入了两个独立的、使用单台扫描仪的健康受试者横断面队列。第一个队列(n = 248)来自德国汉堡的医学预防中心(MPCH)。第二个队列(n = 316)取自开放获取影像研究系列(OASIS)。计算脑实质(BP)、灰质(GM)、白质(WM)、胼胝体(CC)和丘脑体积。应用非参数技术拟合所得的年龄-体积数据。对于每个年龄,从年龄-体积曲线得出每年脑容量损失。比较了两个队列之间所得的每年脑容量损失曲线。对于MPCH队列,BP的每年脑容量损失曲线是一个递增函数,从35岁时的0.20%开始增加到70岁时的0.52%(GM的相应值范围为0.32%至0.55%,WM为0.02%至0.47%,CC为0.07%至0.48%,丘脑为0.25%至0.54%)。在35至70岁年龄范围内,BP每年脑容量损失轨迹的平均绝对差异为0.02%,GM为0.04%,WM为0.04%,CC为0.11%,丘脑为0.02%。两个队列之间的生理性每年脑容量损失率非常一致,且与所应用的扫描仪无关。平均每年脑容量损失明显依赖于年龄和脑区。在定义疾病模型(如多发性硬化症)中病理性年度脑容量损失的临界值时,需要考虑这些结果。