Age-Related Differences in Dynamic Interactions Among Default Mode, Frontoparietal Control, and Dorsal Attention Networks during Resting-State and Interference Resolution.
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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DOI：
10.3389/fnagi.2017.00152
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发表时间：
2017
影响因子：
4.8
通讯作者：
Salami A
中科院分区：
文献类型：
--
作者：
Avelar-Pereira B;Bäckman L;Wåhlin A;Nyberg L;Salami A
静息态功能磁共振成像（rs-fMRI）可以识别大规模的脑网络，包括默认模式（DMN），额顶控制（FPN）和背侧注意（DAN）网络。这些网络之间的相互作用对于支持复杂的认知功能至关重要，但它们在不同状态下的调制方式还没有得到很好的理解。此外，目前还不清楚这些相互作用是否在衰老中受到类似的影响，无论认知状态如何。在这项研究中，我们调查了年龄相关的差异之间的功能相互作用的DMN，FPN和DAN在休息和多源干扰任务（MSIT）。使用独立成分分析（伊卡）确定网络，并在休息和任务期间测量功能连接。我们发现FPN在休息时与DMN耦合更强，在MSIT时与DAN耦合更强。老年人的FPN-DMN连接程度低于年轻人，而在两种状态下的FPN-DAN连接中均未观察到年龄相关的差异。这表明FPN的动态相互作用在认知状态中是稳定的。DMN和DAN是反相关和年龄敏感的MSIT期间，只有，指示在任务依赖的方式变化。从休息到任务的关系水平的增加也预示着成功的干扰解决。其他分析显示，MSIT期间DMN-DAN相关性的程度与DMN内的静息脑血流量（CBF）相关。这表明，在休息期间减少DMN神经活动的基础上受损的能力，以实现更高水平的任务期间的关系。综上所述，我们的研究结果表明，只有部分与年龄相关的连接差异在休息时被发现，因此，应该在多个状态的功能连接体中进行研究，以获得更全面的结果。
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.