Cao Xingxing, Liu Tao, Jiang Jiyang, Liu Hao, Zhang Jing, Kochan Nicole A, Niu Haijun, Brodaty Henry, Sachdev Perminder S, Wen Wei
Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China.
Front Aging Neurosci. 2021 Nov 12;13:755931. doi: 10.3389/fnagi.2021.755931. eCollection 2021.
In this research, we investigated the alterations in the directionality and strength of regional interactions within functionally changed brain networks and their relationship to cognitive decline during the aging process in normal elderly individuals. Thirty-seven cognitively normal elderly people received resting-state fMRI scans and cognitive assessments at baseline (age = 78.65 ± 3.56 years) and at 4-year follow-up. Functional connectivity analyses were used to identify networks containing brain regions whose functions changed with age as regions of interest. The spectral dynamic causal modeling (spDCM) method was used to estimate the causal interactions within networks in subjects at different time points and in subjects with different cognitive levels to explore the alterations with cognitive aging. The results showed that, at both time points, all the networks, except the frontal-parietal network (FPN) at baseline, had mutual interactions between each pair of nodes. Furthermore, when the subjects were divided with global cognition level, lost connections were only found in the subgroup with better performance. These indicated that elderly people appeared to need more interaction pathways between brain areas with cognitive decline. We also observed that the strength of the flow of information from the left angular gyrus to the precuneus, which is associated with activation of memory retrieval and the functional hub involved in various cognitive domains, was predictive of declines in executive function with the aging process, making it a potential predictor of such situation.
在本研究中,我们调查了正常老年人在衰老过程中功能发生变化的脑网络内区域间相互作用的方向性和强度的改变,以及它们与认知衰退的关系。37名认知正常的老年人在基线时(年龄 = 78.65 ± 3.56岁)和4年随访时接受了静息态功能磁共振成像扫描和认知评估。功能连接分析被用于将包含随年龄变化而改变功能的脑区的网络确定为感兴趣区域。光谱动态因果模型(spDCM)方法被用于估计不同时间点的受试者以及不同认知水平的受试者网络内的因果相互作用,以探索认知衰老过程中的变化。结果表明,在两个时间点,除了基线时的额顶叶网络(FPN)外,所有网络中每对节点之间都存在相互作用。此外,当根据整体认知水平对受试者进行划分时,仅在表现较好的亚组中发现了连接丧失。这些表明,随着认知衰退,老年人似乎需要更多脑区之间的相互作用路径。我们还观察到,从左侧角回向前楔叶的信息流强度,这与记忆检索激活以及涉及各种认知领域的功能枢纽相关,可预测衰老过程中执行功能的衰退,使其成为这种情况的潜在预测指标。