Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Centre Cyceron, Caen, France.
Normandie Univ, UNICAEN, PSL Université Paris, EPHE, INSERM, U1077, CHU de Caen, Centre Cyceron, Caen, France.
Neurobiol Aging. 2022 Oct;118:99-105. doi: 10.1016/j.neurobiolaging.2022.07.001. Epub 2022 Jul 8.
Aging is associated with cognitive changes, with strong variations across individuals. One way to characterize this individual variability is to use techniques such as magnetoencephalography (MEG) to measure the dynamics of neural synchronization between brain regions, and the variability of this connectivity over time. Indeed, few studies have focused on fluctuations in the dynamics of brain networks over time and their evolution with age. We therefore characterize aging effects on MEG phase synchrony in healthy young and older adults from the Cam-CAN database. Age-related changes were observed, with an increase in the variability of brain synchronization, as well as a reversal of the direction of information transfer in the default mode network (DMN), in the delta frequency band. These changes in functional connectivity were associated with cognitive decline. Results suggest that advancing age is accompanied by a functional disorganization of dynamic networks, with a loss of communication stability and a decrease in the information transmitted.
衰老是与认知变化相关的，个体之间存在很大的差异。一种描述这种个体差异的方法是使用脑磁图 (MEG) 等技术来测量大脑区域之间神经同步的动力学，以及这种连接随时间的变化。事实上，很少有研究关注大脑网络动力学随时间的波动及其随年龄的演变。因此，我们从 Cam-CAN 数据库中描述了健康的年轻和老年人的 MEG 相位同步的衰老效应。观察到与年龄相关的变化，大脑同步的可变性增加，以及默认模式网络 (DMN) 中信息传递方向的反转，出现在 delta 频带。这些功能连接的变化与认知能力下降有关。结果表明，随着年龄的增长，动态网络的功能会出现紊乱，稳定性下降，信息传递减少。
