Filip Pavel, McCarten J Riley, Hemmy Laura, Crocker Jillian, Wolf Michael, Thotland Jeromy, Cayci Zuzan, Michaeli Shalom, Eberly Lynn E, Terpstra Melissa, Mangia Silvia
Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Department of Neurology, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic.
NMR Biomed. 2025 Jan;38(1):e5305. doi: 10.1002/nbm.5305.
Ageing is a complex phenomenon affecting a wide range of coexisting biological processes. The homogeneity of the studied population is an essential parameter for valid interpretations of outcomes. The presented study capitalises on the MRI data available in the Human Connectome Project-Aging (HCP-A) and, within individuals over 55 years of age who passed the HCP-A section criteria, compares a subgroup of 37 apparently neurocognitively healthy individuals selected based on stringent criteria with 37 age and sex-matched individuals still representative of typical ageing but who did not pass the stringent definition of neurocognitively healthy. Specifically, structural scans, diffusion weighted imaging and T1w/T2w ratio were utilised. Furthermore, data of 26 HCP-A participants older than 90 years as notional 'super-agers' were analysed. The relationship of age and several microstructural MRI metrics (T1w/T2w ratio, mean diffusivity, intracellular volume fraction and free water volume fraction) differed significantly between typical and healthy ageing cohort in areas highly relevant for ageing such as hippocampus, prefrontal and temporal cortex and cerebellum. However, the trajectories of the healthy ageing population did not show substantially better overlap with the findings in people older than 90 than those of the typical population. Therefore, caution must be exercised in the choice of adequate study group characteristics relevant for respective ageing-related hypotheses. Contrary to typical ageing group, the healthy ageing cohort may show generally stable levels of several MRI metrics of interest.
衰老一个复杂的现象,影响着广泛共存的生物过程。所研究人群的同质性是有效解释结果的一个重要参数。本研究利用人类连接组计划-衰老(HCP-A)中的MRI数据,在55岁以上且通过HCP-A部分标准的个体中,将根据严格标准选出的37名明显神经认知健康的个体亚组与37名年龄和性别匹配、仍代表典型衰老但未通过神经认知健康严格定义的个体进行比较。具体而言,使用了结构扫描、扩散加权成像和T1w/T2w比率。此外,还分析了26名年龄超过90岁的HCP-A参与者作为名义上的“超级老年人”的数据。在海马体、前额叶和颞叶皮质以及小脑等与衰老高度相关的区域,典型衰老队列和健康衰老队列之间,年龄与几个微观结构MRI指标(T1w/T2w比率、平均扩散率、细胞内体积分数和自由水体积分数)的关系存在显著差异。然而,健康衰老人群的轨迹与90岁以上人群的研究结果相比,与典型人群的重叠程度并没有显著更好。因此,在选择与各自衰老相关假设相关的适当研究组特征时必须谨慎。与典型衰老组相反,健康衰老队列可能显示出几种感兴趣的MRI指标总体上稳定的水平。