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随年龄增长而变化的动态功能连接。

Changes in dynamic functional connections with aging.

机构信息

School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China.

School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China.

出版信息

Neuroimage. 2018 May 15;172:31-39. doi: 10.1016/j.neuroimage.2018.01.040. Epub 2018 Jan 28.

Abstract

Despite numerous studies on age-related changes in static functional connections (FCs), the available literature on the changes in dynamic FCs with aging is lacking. This study investigated the changes in dynamic FCs with aging based on resting state fMRI data of 61 healthy adults aged 30-85 years. The time-resolved FCs among 160 pre-defined regions of interest (ROIs) were first estimated using sliding-window correlation. Based on the dynamic FC matrices, we then analyzed the dynamic switches between different FC states using k-means clustering, and correlated age with the dwell time of each FC state across subjects. The elderly were observed to spend more time in an FC state characterized by weak interactions throughout the brain and less time in an FC state characterized by strong interactions within the sensory-motor network and the cognitive control network. These results may reflect an overall weakening of connections in the elderly, which support less efficient information transfer in them. Based on the dynamic FC matrices, we also evaluated the variability and amplitude of FC time-series, which measure the relative (to mean) and absolute strength of FC fluctuations, respectively, and correlated age with the two measures across subjects. Relatively weak age-vs-variability correlations were observed, but we did observe significant negative age-vs-amplitude correlations at both the global and regional level. These results indicate that amplitude may be another effective metric for assessing FC fluctuations, in addition to the widely-used variability metric. Moreover, the observed declines in the amplitude of FC fluctuations in the elderly may support the assumption that it should be the weakening of absolute interactions between brain regions, rather than toggling between positive and negative correlations, that causes the repeatedly reported widespread (static) FC decreases with aging. Overall, the present results not only reflect an overall weakening of connections in the elderly, but indicate the potential of dynamic FC analyses in studies of age-related psychiatric and neurological disorders.

摘要

尽管有许多关于静息态功能连接(FC)随年龄变化的研究,但关于动态 FC 随年龄变化的文献还很缺乏。本研究基于 61 名 30-85 岁健康成年人的静息态 fMRI 数据,探讨了动态 FC 随年龄的变化。首先使用滑动窗口相关法估计 160 个预先定义的感兴趣区(ROI)之间的时间分辨 FC。然后基于动态 FC 矩阵,使用 K 均值聚类分析不同 FC 状态之间的动态切换,并将年龄与每个 FC 状态在被试间的停留时间相关联。结果发现老年人在大脑各区域弱相互作用的 FC 状态下停留的时间更多,而在感觉运动网络和认知控制网络内强相互作用的 FC 状态下停留的时间更少。这些结果可能反映出老年人整体连接的减弱,这支持了他们信息传递效率的降低。基于动态 FC 矩阵,我们还评估了 FC 时间序列的变异性和幅度,分别衡量 FC 波动的相对(相对于均值)和绝对强度,并将这两个指标与被试间的年龄相关联。观察到相对较弱的年龄与变异性相关性,但我们确实观察到在全局和区域水平上,年龄与幅度呈显著负相关。这些结果表明,除了广泛使用的变异性指标外,幅度可能是评估 FC 波动的另一个有效指标。此外,老年人 FC 波动幅度的下降可能支持这样一种假设,即导致与年龄相关的广泛(静息态)FC 下降的原因是大脑区域之间绝对相互作用的减弱,而不是正相关和负相关之间的切换。总之,本研究结果不仅反映了老年人连接的整体减弱,而且表明动态 FC 分析在研究与年龄相关的精神和神经障碍方面具有潜力。

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