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首页> 外文期刊>Frontiers in Aging Neuroscience >Age-Related Differences in Dynamic Interactions Among Default Mode, Frontoparietal Control, and Dorsal Attention Networks during Resting-State and Interference Resolution
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Age-Related Differences in Dynamic Interactions Among Default Mode, Frontoparietal Control, and Dorsal Attention Networks during Resting-State and Interference Resolution

机译：在静息状态和干扰消退过程中，默认模式，额顶控制和背侧注意网络之间动态交互的年龄相关差异

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Resting-state fMRI (rs-fMRI) can identify large-scale brain networks, including the default mode (DMN), frontoparietal control (FPN) and dorsal attention (DAN) networks. Interactions among these networks are critical for supporting complex cognitive functions, yet the way in which they are modulated across states is not well understood. Moreover, it remains unclear whether these interactions are similarly affected in aging regardless of cognitive state. In this study, we investigated age-related differences in functional interactions among the DMN, FPN and DAN during rest and the Multi-Source Interference task (MSIT). Networks were identified using independent component analysis (ICA), and functional connectivity was measured during rest and task. We found that the FPN was more coupled with the DMN during rest and with the DAN during the MSIT. The degree of FPN-DMN connectivity was lower in older compared to younger adults, whereas no age-related differences were observed in FPN-DAN connectivity in either state. This suggests that dynamic interactions of the FPN are stable across cognitive states. The DMN and DAN were anti correlated and age-sensitive during the MSIT only, indicating variation in a task-dependent manner. Increased levels of anticorrelation from rest to task also predicted successful interference resolution. Additional analyses revealed that the degree of DMN-DAN anticorrelation during the MSIT was associated to resting cerebral blood flow (CBF) within the DMN. This suggests that reduced DMN neural activity during rest underlies an impaired ability to achieve higher levels of anticorrelation during a task. Taken together, our results suggest that only parts of age-related differences in connectivity are uncovered at rest and thus, should be studied in the functional connectome across multiple states for a more comprehensive picture.
机译：静止状态功能磁共振成像（rs-fMRI）可以识别大规模的大脑网络，包括默认模式（DMN），额叶额叶控制（FPN）和背侧注意（DAN）网络。这些网络之间的交互对于支持复杂的认知功能至关重要，但是，人们对跨状态进行调制的方式却知之甚少。此外，尚不清楚这些相互作用是否在衰老中受到类似的影响，而与认知状态无关。在这项研究中，我们调查了休息和多源干扰任务（MSIT）期间DMN，FPN和DAN之间功能交互的年龄相关差异。使用独立组件分析（ICA）识别网络，并在休息和任务期间测量功能连接性。我们发现，FPN在休息期间与DMN的耦合程度更高，在MSIT期间与DAN的耦合程度更高。与年轻人相比，老年人的FPN-DMN连接程度较低，而在任何一种状态下，FPN-DAN的连接均未发现与年龄相关的差异。这表明FPN的动态相互作用在认知状态之间是稳定的。仅在MSIT期间，DMN和DAN是反相关的并且对年龄敏感，表明以任务相关方式变化。从休息到工作的反相关水平提高，也预示着成功的干扰解决方案。进一步的分析表明，MSIT期间DMN-DAN的反相关程度与DMN中的静息脑血流（CBF）相关。这表明在休息期间DMN神经活动的减少是在任务期间实现更高水平的抗相关性的能力受损的基础。两者合计，我们的结果表明，在休息时仅发现与年龄相关的连接差异的一部分，因此，应在跨多个状态的功能连接套中进行研究，以获取更全面的信息。

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