Multivariate patterns of brain-behavior associations across the adult lifespan.
Multivariate patterns of brain-behavior associations across the adult lifespan.
复制标题
DOI：
10.18632/aging.203815
复制
发表时间：
2022-01-10
期刊：
影响因子：
--
通讯作者：
Wilson TW
中科院分区：
文献类型：
--
作者：
Doucet GE;Hamlin N;West A;Kruse JA;Moser DA;Wilson TW
随着年龄的增长，大脑行为协变的性质知之甚少。在目前的研究中，我们使用多变量方法来研究行为健康变量和成年期大脑特征之间的协变。我们招募了20-73岁的健康成年人（29岁以下，平均年龄= 25.6岁; 30岁以上，平均年龄= 62.5岁），并在静息状态和三个任务期间收集结构和功能MRI（s/fMRI）。从sMRI中，我们提取了皮质厚度和皮质下体积;从fMRI中，我们提取了每个任务的激活峰和功能网络连接（FNC）。我们对所有参与者的行为健康变量和sMRI或fMRI变量之间进行了典型相关分析。我们发现所有个体的两种神经影像学表型（ps = 0.0004）存在显著的协变，认知能力和年龄是最大的相反贡献者。我们进一步确定了不同的变量有助于跨表型和年龄组的模型。特别是，我们发现年轻组和老年组之间的行为与不同的神经成像模式有关。在年轻人中，更高的认知能力得到了执行网络内激活和FNC的支持，而在老年人中，它得到了视觉网络FNC的支持。这项研究强调了大脑行为协变在成年期的变化，并进一步支持认知表现依赖于老年人和年轻人之间不同的区域招募。
The nature of brain-behavior covariations with increasing age is poorly understood. In the current study, we used a multivariate approach to investigate the covariation between behavioral-health variables and brain features across adulthood. We recruited healthy adults aged 20–73 years-old (29 younger, mean age = 25.6 years; 30 older, mean age = 62.5 years), and collected structural and functional MRI (s/fMRI) during a resting-state and three tasks. From the sMRI, we extracted cortical thickness and subcortical volumes; from the fMRI, we extracted activation peaks and functional network connectivity (FNC) for each task. We conducted canonical correlation analyses between behavioral-health variables and the sMRI, or the fMRI variables, across all participants. We found significant covariations for both types of neuroimaging phenotypes (ps = 0.0004) across all individuals, with cognitive capacity and age being the largest opposite contributors. We further identified different variables contributing to the models across phenotypes and age groups. Particularly, we found behavior was associated with different neuroimaging patterns between the younger and older groups. Higher cognitive capacity was supported by activation and FNC within the executive networks in the younger adults, while it was supported by the visual networks’ FNC in the older adults. This study highlights how the brain-behavior covariations vary across adulthood and provides further support that cognitive performance relies on regional recruitment that differs between older and younger individuals.