Lothian Birth Cohorts Group, The University of Edinburgh, Edinburgh, UK.
Department of Psychology, The University of Edinburgh, Edinburgh, UK.
Mol Psychiatry. 2021 Jun;26(6):2651-2662. doi: 10.1038/s41380-020-00975-1. Epub 2021 Jan 4.
Different brain regions can be grouped together, based on cross-sectional correlations among their cortical characteristics; this patterning has been used to make inferences about ageing processes. However, cross-sectional brain data conflate information on ageing with patterns that are present throughout life. We characterised brain cortical ageing across the eighth decade of life in a longitudinal ageing cohort, at ages ~73, ~76, and ~79 years, with a total of 1376 MRI scans. Volumetric changes among cortical regions of interest (ROIs) were more strongly correlated (average r = 0.805, SD = 0.252) than were cross-sectional volumes of the same ROIs (average r = 0.350, SD = 0.178). We identified a broad, cortex-wide, dimension of atrophy that explained 66% of the variance in longitudinal changes across the cortex. Our modelling also discovered more specific fronto-temporal and occipito-parietal dimensions that were orthogonal to the general factor and together explained an additional 20% of the variance. The general factor was associated with declines in general cognitive ability (r = 0.431, p < 0.001) and in the domains of visuospatial ability (r = 0.415, p = 0.002), processing speed (r = 0.383, p < 0.001) and memory (r = 0.372, p < 0.001). Individual differences in brain cortical atrophy with ageing are manifest across three broad dimensions of the cerebral cortex, the most general of which is linked with cognitive declines across domains. Longitudinal approaches are invaluable for distinguishing lifelong patterns of brain-behaviour associations from patterns that are specific to aging.
不同的脑区可以根据皮质特征的横断面相关性进行分组;这种模式被用于推断衰老过程。然而,横断面脑数据将衰老信息与终生存在的模式混为一谈。我们在一个纵向衰老队列中,在73、76 和~79 岁时,共进行了 1376 次 MRI 扫描,对生命的第八个十年的大脑皮质衰老进行了特征描述。感兴趣脑区(ROI)的体积变化相关性更强(平均 r=0.805,SD=0.252),而同一 ROI 的横断面体积相关性较弱(平均 r=0.350,SD=0.178)。我们确定了一个广泛的、皮质广泛的萎缩维度,该维度解释了皮质纵向变化的 66%。我们的模型还发现了更具体的额颞叶和枕顶叶维度,它们与一般因子正交,共同解释了另外 20%的方差。一般因子与一般认知能力下降(r=0.431,p<0.001)和视觉空间能力(r=0.415,p=0.002)、处理速度(r=0.383,p<0.001)和记忆(r=0.372,p<0.001)领域的下降有关。大脑皮质随年龄增长而发生的萎缩的个体差异在大脑皮质的三个广泛维度上表现明显,其中最普遍的维度与各领域的认知下降有关。纵向方法对于区分与衰老相关的大脑-行为关联的终身模式与特定于衰老的模式非常有价值。