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静息状态和干扰解决过程中默认模式网络、额顶叶控制网络和背侧注意网络之间动态交互的年龄相关差异

Age-Related Differences in Dynamic Interactions Among Default Mode, Frontoparietal Control, and Dorsal Attention Networks during Resting-State and Interference Resolution.

作者信息

Avelar-Pereira Bárbara, Bäckman Lars, Wåhlin Anders, Nyberg Lars, Salami Alireza

机构信息

Aging Research Center, Karolinska Institutet and Stockholm UniversityStockholm, Sweden.

Umeå Center for Functional Brain Imaging, Umeå UniversityUmeå, Sweden.

出版信息

Front Aging Neurosci. 2017 May 22;9:152. doi: 10.3389/fnagi.2017.00152. eCollection 2017.

Abstract

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.

摘要

静息态功能磁共振成像(rs-fMRI)能够识别大规模脑网络,包括默认模式网络(DMN)、额顶叶控制网络(FPN)和背侧注意网络(DAN)。这些网络之间的相互作用对于支持复杂认知功能至关重要,然而它们在不同状态下的调节方式尚未得到很好的理解。此外,目前尚不清楚这些相互作用在衰老过程中是否会受到类似影响,而与认知状态无关。在本研究中,我们调查了静息状态和多源干扰任务(MSIT)期间DMN、FPN和DAN之间功能相互作用的年龄相关差异。使用独立成分分析(ICA)识别网络,并在静息和任务期间测量功能连接性。我们发现,在静息状态下FPN与DMN的耦合更强,而在MSIT期间与DAN的耦合更强。与年轻人相比,老年人中FPN-DMN连接程度较低,而在两种状态下FPN-DAN连接均未观察到年龄相关差异。这表明FPN的动态相互作用在不同认知状态下是稳定的。仅在MSIT期间,DMN和DAN呈反相关且对年龄敏感,表明存在任务依赖方式的变化。从静息到任务期间反相关水平的增加也预示着干扰解决成功。进一步分析表明,MSIT期间DMN-DAN反相关程度与DMN内的静息脑血流量(CBF)相关。这表明静息时DMN神经活动减少是任务期间反相关水平受损的基础。综上所述,我们的结果表明,静息状态下仅揭示了部分与年龄相关的连接差异,因此,应在多个状态下的功能连接组中进行研究,以获得更全面的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23a3/5438979/45270ae031d1/fnagi-09-00152-g0001.jpg

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