Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
Department of Accounting and Business Analytics, Alberta School of Business, University of Alberta, Edmonton, AB, Canada.
Brain Struct Funct. 2021 May;226(4):1067-1098. doi: 10.1007/s00429-021-02226-7. Epub 2021 Feb 18.
Functional changes in the aging human brain have been previously reported using functional magnetic resonance imaging (fMRI). Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age-associated strengthening of inter-system FC. However, the majority of such FC studies did not investigate the relationship between age and network amplitude, without which correlation-based measures of FC can be challenging to interpret. Consequently, the main aim of this study was to investigate how three primary measures of resting-state fMRI signal-network amplitude, network topography, and inter-network FC-are affected by healthy cognitive aging. We acquired resting-state fMRI data on a 4.7 T scanner for 105 healthy participants representing the entire adult lifespan (18-85 years of age). To study age differences in network structure, we combined ICA-based network decomposition with sparse graphical models. Older adults displayed lower blood-oxygen-level-dependent (BOLD) signal amplitude in all functional systems, with sensorimotor networks showing the largest age differences. Our age comparisons of network topography and inter-network FC demonstrated a substantial amount of age invariance in the brain's functional architecture. Despite architecture similarities, old adults displayed a loss of communication efficiency in our inter-network FC comparisons, driven primarily by the FC reduction in frontal and parietal association cortices. Together, our results provide a comprehensive overview of age effects on fMRI-based FC.
先前已有研究使用功能磁共振成像(fMRI)报告了人类大脑衰老时的功能变化。早期的静息态 fMRI 研究揭示了与年龄相关的系统内功能连接(FC)减弱和系统间 FC 增强。然而,大多数此类 FC 研究并未探究年龄与网络幅度之间的关系,而没有这一关系,FC 的基于相关的度量就难以解释。因此,本研究的主要目的是探究静息态 fMRI 信号网络幅度、网络拓扑和网络间 FC 的三个主要测量值如何受到健康认知衰老的影响。我们在 4.7T 扫描仪上采集了 105 名健康参与者的静息态 fMRI 数据,这些参与者代表了整个成年期(18-85 岁)。为了研究网络结构的年龄差异,我们结合了基于 ICA 的网络分解和稀疏图模型。与年轻成年人相比,年长成年人在所有功能系统中的血氧水平依赖(BOLD)信号幅度都较低,其中感觉运动网络的年龄差异最大。我们对网络拓扑和网络间 FC 的年龄比较表明,大脑的功能结构在很大程度上具有年龄不变性。尽管存在结构相似性,但在我们的网络间 FC 比较中,年长成年人显示出通讯效率的丧失,这主要是由额顶联合皮层的 FC 减少驱动的。总之,我们的研究结果提供了基于 fMRI 的 FC 的年龄影响的全面概述。