Center for Mind/Brain Sciences (CIMeC), University of Trento, Corso Bettini 31, 38068 Rovereto, TN, Italy.
Center for Mind/Brain Sciences (CIMeC), University of Trento, Corso Bettini 31, 38068 Rovereto, TN, Italy.
Neuroimage. 2022 Aug 1;256:119247. doi: 10.1016/j.neuroimage.2022.119247. Epub 2022 Apr 25.
The neural activity of human brain changes in healthy individuals during aging. The most frequent variation in patterns of neural activity are a shift from posterior to anterior areas and a reduced asymmetry between hemispheres. These patterns are typically observed during task execution and by using functional magnetic resonance imaging data. In the present study we investigated whether analogous effects can also be detected during rest and by means of source-space time series reconstructed from electroencephalographic recordings. By analyzing oscillatory power distribution across the brain we indeed found a shift from posterior to anterior areas in older adults. We additionally examined this shift by evaluating connectivity and its changes with age. The findings indicated that inter-area connections among frontal, parietal and temporal areas were strengthened in older individuals. A more complex pattern was shown in intra-area connections, where age-related activity was enhanced in parietal and temporal areas, and reduced in frontal areas. Finally, the resulting network exhibits a loss of modularity with age. Overall, the results extend to resting-state condition the evidence of an age-related shift of brain activity from posterior to anterior areas, thus suggesting that this shift is a general feature of the aging brain rather than being task-specific. In addition, the connectivity results provide new information on the reorganization of resting-state brain activity in aging.
人类大脑的神经活动在健康个体衰老过程中会发生变化。神经活动模式最常见的变化是从前向后区域的转移以及大脑半球之间的不对称性降低。这些模式通常在任务执行过程中通过功能磁共振成像数据观察到。在本研究中,我们研究了在静息状态下是否也可以通过从脑电图记录重建的源空间时间序列来检测到类似的效果。通过分析整个大脑的振荡功率分布,我们确实发现老年人的大脑从前向后区域转移。我们还通过评估连接及其随年龄的变化来检查这种转移。研究结果表明,在老年人中,额叶、顶叶和颞叶区域之间的区域间连接得到了加强。在区域内连接中显示出更为复杂的模式,其中与年龄相关的活动在顶叶和颞叶区域增强,而在额叶区域减弱。最后,所得网络随着年龄的增长表现出模块性丧失。总的来说,这些结果将大脑活动从后向前区域的年龄相关转移的证据扩展到静息状态条件,这表明这种转移是衰老大脑的一般特征,而不是特定于任务的。此外,连接结果提供了有关衰老过程中静息状态大脑活动重组的新信息。