Li Hui-Jie, Hou Xiao-Hui, Liu Han-Hui, Yue Chun-Lin, Lu Guang-Ming, Zuo Xi-Nian
Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, China.
Neurosci Biobehav Rev. 2015 Oct;57:156-74. doi: 10.1016/j.neubiorev.2015.08.013. Epub 2015 Aug 28.
Normal aging is associated with cognitive decline and underlying brain dysfunction. Previous studies concentrated less on brain network changes at a systems level. Our goal was to examine these age-related changes of fMRI-derived activation with a common network parcellation of the human brain function, offering a systems-neuroscience perspective of healthy aging. We conducted a series of meta-analyses on a total of 114 studies that included 2035 older adults and 1845 young adults. Voxels showing significant age-related changes in activation were then overlaid onto seven commonly referenced neuronal networks. Older adults present moderate cognitive decline in behavioral performance during fMRI scanning, and hypo-activate the visual network and hyper-activate both the frontoparietal control and default mode networks. The degree of increased activation in frontoparietal network was associated with behavioral performance in older adults. Age-related changes in activation present different network patterns across cognitive domains. The systems neuroscience approach used here may be useful for elucidating the underlying network mechanisms of various brain plasticity processes during healthy aging.
正常衰老与认知衰退及潜在的脑功能障碍相关。以往的研究较少关注系统层面的脑网络变化。我们的目标是通过对人类脑功能进行常见的网络划分来研究功能磁共振成像（fMRI）衍生激活的这些与年龄相关的变化，从而提供一个关于健康衰老的系统神经科学视角。我们对总共114项研究进行了一系列荟萃分析，这些研究包括2035名老年人和1845名年轻人。然后将显示出与年龄相关的激活显著变化的体素叠加到七个常用的参考神经元网络上。老年人在fMRI扫描期间行为表现出现中度认知衰退，视觉网络激活不足，额顶叶控制网络和默认模式网络激活过度。额顶叶网络激活增加的程度与老年人的行为表现相关。与年龄相关的激活变化在不同认知领域呈现出不同的网络模式。这里使用的系统神经科学方法可能有助于阐明健康衰老过程中各种脑可塑性过程的潜在网络机制。
