Perez Diana C, Hernandez Joanna J, Wulfekuhle Gretchen, Gratton Caterina
Department of Psychology, Northwestern University, Evanston, IL, USA.
Department of Psychology, Northwestern University, Evanston, IL, USA; Department of Psychology, Harvard University, Cambridge, MA, USA.
Neurobiol Aging. 2025 Mar;147:68-87. doi: 10.1016/j.neurobiolaging.2024.11.010. Epub 2024 Dec 7.
Healthy aging is associated with cognitive decline across multiple domains, including executive function, memory, and attention. These cognitive changes can often influence an individual's ability to function and quality of life. However, the degree to which individuals experience cognitive decline, as well as the trajectory of these changes, exhibits wide variability across people. These cognitive abilities are thought to depend on the coordinated activity of large-scale networks. Like behavioral effects, large variation can be seen in brain structure and function with aging, including in large-scale functional networks. However, tracking this variation requires methods that reliably measure individual brain networks and their changes over time. Here, we review the literature on age-related cognitive decline and on age-related differences in brain structure and function. We focus particularly on functional networks and the individual variation that exists in these measures. We propose that novel individual-centered fMRI approaches can shed new light on patterns of inter- and intra-individual variability in aging. These approaches may be instrumental in understanding the neural bases of cognitive decline.
健康衰老与多个领域的认知衰退相关,包括执行功能、记忆和注意力。这些认知变化常常会影响个体的功能能力和生活质量。然而,个体经历认知衰退的程度以及这些变化的轨迹在人群中存在很大差异。这些认知能力被认为依赖于大规模网络的协同活动。与行为效应一样,随着年龄增长,大脑结构和功能也会出现很大变化,包括大规模功能网络。然而,追踪这种变化需要能够可靠测量个体脑网络及其随时间变化的方法。在这里,我们回顾了关于年龄相关认知衰退以及大脑结构和功能的年龄相关差异的文献。我们特别关注功能网络以及这些测量中存在的个体差异。我们提出,以个体为中心的新型功能磁共振成像方法可以为衰老过程中个体间和个体内变异性的模式提供新的见解。这些方法可能有助于理解认知衰退的神经基础。