Faculty of Psychology, Southwest University, Chongqing, China.
School of Psychology, Research Center for Exercise and Brain Science, Shanghai University of Sport, China.
Hum Brain Mapp. 2024 Oct;45(14):e70031. doi: 10.1002/hbm.70031.
Cognitive flexibility, the ability to switch between mental processes to generate appropriate behavioral responses, is reduced with typical aging. Previous studies have found that age-related declines in cognitive flexibility are often accompanied by variations in the activation of multiple regions. However, no meta-analyses have examined the relationship between cognitive flexibility in aging and age-related variations in activation within large-scale networks. Here, we conducted a meta-analysis employing multilevel kernel density analysis to identify regions with different activity patterns between age groups, and determined how these regions fall into functional networks. We also employed lateralization analysis to explore the spatial distribution of regions exhibiting group differences in activation. The permutation tests based on Monte Carlo simulation were used to determine the significance of the activation and lateralization results. The results showed that cognitive flexibility in aging was associated with both decreased and increased activation in several functional networks. Compared to young adults, older adults exhibited increased activation in the default mode, dorsal attention, ventral attention, and somatomotor networks, while displayed decreased activation in the visual network. Moreover, we found a global-level left lateralization for regions with decreased activation, but no lateralization for regions with higher activation in older adults. At the network level, the regions with decreased activation were left-lateralized, while the regions with increased activation showed varying lateralization patterns within different networks. To sum up, we found that networks that support various mental functions contribute to age-related variations in cognitive flexibility. Additionally, the aging brain exhibited network-dependent activation and lateralization patterns in response to tasks involving cognitive flexibility. We highlighted that the comprehensive meta-analysis in this study offered new insights into understanding cognitive flexibility in aging from a network perspective.
认知灵活性是指在心理过程之间切换以产生适当行为反应的能力,随着典型的衰老而降低。以前的研究发现,认知灵活性与年龄相关的下降通常伴随着多个区域的激活变化。然而,没有元分析研究过衰老过程中的认知灵活性与大规模网络中与年龄相关的激活变化之间的关系。在这里,我们进行了一项荟萃分析,采用多层次核密度分析来识别不同年龄组之间具有不同活动模式的区域,并确定这些区域如何归入功能网络。我们还采用了侧化分析来探索在激活方面表现出组间差异的区域的空间分布。基于蒙特卡罗模拟的置换检验用于确定激活和侧化结果的显著性。结果表明,衰老过程中的认知灵活性与几个功能网络中的激活减少和增加都有关。与年轻成年人相比,老年成年人在默认模式、背侧注意、腹侧注意和躯体运动网络中表现出增加的激活,而在视觉网络中表现出减少的激活。此外,我们发现对于激活减少的区域存在全局水平的左侧化,但对于老年成年人中激活增加的区域则没有侧化。在网络水平上,激活减少的区域表现为左侧化,而激活增加的区域在不同网络中表现出不同的侧化模式。总之,我们发现支持各种心理功能的网络有助于与年龄相关的认知灵活性变化。此外,衰老的大脑在涉及认知灵活性的任务中表现出依赖网络的激活和侧化模式。我们强调,本研究中的综合荟萃分析为从网络角度理解衰老过程中的认知灵活性提供了新的见解。