Dynamic functional connectivity profile of the salience network across the life span.

Dynamic functional connectivity profile of the salience network across the life span.
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DOI:
10.1002/hbm.25581
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发表时间:
2021-10-01
影响因子:
4.8
通讯作者:
Nomi JS
Nomi JS
中科院分区:
医学2区
文献类型:
--
作者:
Snyder W;Uddin LQ;Nomi JS

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岛叶皮层和前扣带皮层共同组成了显著性或中扣带-岛叶网络,参与检测显著事件并启动控制信号以介导大脑网络动力学。由于发育和衰老,显着性网络和大脑其他部分之间的功能耦合发生变化的程度目前在很大程度上尚未探索。在这里,我们研究动态功能连接(dFC)的显着性网络在一个大的寿命样本(n = 601; 6-85岁)。滑动窗口分析和k均值聚类揭示了由显着性网络形成的dFC的五种状态,其特征在于显着性网络和其他大脑区域之间的广泛的同步或不同的同步模式。我们确定了每个状态和受试者的频率、停留时间、总转换和特定状态到状态转换,并根据受试者的年龄对指标进行回归,以确定寿命趋势。一个动态的特点是显着性网络和大脑的其他部分之间的连接性低,年龄和频率和停留时间之间有很强的正二次关系。在其他显著性网络状态下观察到额外的频率、停留时间、总转换和状态到状态转换趋势。我们的研究结果突出了显着性网络的亚稳态动力学及其在认知关键脑区成熟中的作用。在这里,我们研究动态功能连接(dFC)的显着性网络在一个大的寿命样本(n = 601)。滑动窗口分析和k均值聚类揭示了由显着性网络形成的dFC的五种状态,其特征在于显着性网络和其他大脑区域之间的广泛的同步或不同的同步模式。这些状态的频率、停留时间和转换的寿命趋势突出了亚稳态成熟在认知重要脑区中的作用。
The insular cortex and anterior cingulate cortex together comprise the salience or midcingulo‐insular network, involved in detecting salient events and initiating control signals to mediate brain network dynamics. The extent to which functional coupling between the salience network and the rest of the brain undergoes changes due to development and aging is at present largely unexplored. Here, we examine dynamic functional connectivity (dFC) of the salience network in a large life span sample (n = 601; 6–85 years old). A sliding‐window analysis and k‐means clustering revealed five states of dFC formed with the salience network, characterized by either widespread asynchrony or different patterns of synchrony between the salience network and other brain regions. We determined the frequency, dwell time, total transitions, and specific state‐to‐state transitions for each state and subject, regressing the metrics with subjects' age to identify life span trends. A dynamic state characterized by low connectivity between the salience network and the rest of the brain had a strong positive quadratic relationship between age and both frequency and dwell time. Additional frequency, dwell time, total transitions, and state‐to‐state transition trends were observed with other salience network states. Our results highlight the metastable dynamics of the salience network and its role in the maturation of brain regions critical for cognition. Here, we examine dynamic functional connectivity (dFC) of the salience network in a large life span sample (n = 601). A sliding‐window analysis and k‐means clustering revealed five states of dFC formed with the salience network, characterized by either widespread asynchrony or different patterns of synchrony between the salience network and other brain regions. Life span trends in the frequency, dwell time, and transitions of these states highlight the role of metastability maturation in cognitively important brain regions.
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