Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects.

Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects.
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4至8岁儿童脑电图微观状态的时空动态:年龄和性别相关的影响。

DOI:
10.1016/j.dcn.2022.101134
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发表时间:
2022-10
影响因子:
4.7
通讯作者:
Gaffrey, Michael S.
Gaffrey, Michael S.
中科院分区:
医学1区
文献类型:
--
作者:
Bagdasarov, Armen;Roberts, Kenneth;Brechet, Lucie;Brunet, Denis;Michel, Christoph M.;Gaffrey, Michael S.

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大规模神经网络的超快时空动力学可以使用静息态脑电图(EEG)微观状态进行检查,代表随时间动态演变的同步神经活动的瞬态。在成年人中,四个典型的微观状态已被证明可以解释大多数地形变异的静息态脑电图。他们的时间结构是年龄,性别和状态依赖性,并容易受到病理性大脑状态。然而,没有研究评估的空间和时间特性的脑电图微观专门在幼儿期,一个关键时期的快速大脑发育。在这里,我们试图调查脑电图微观记录与高密度脑电图在一个大样本的103,4-8岁的儿童。使用数据驱动的k-means聚类分析,我们发现,在成人人群中报告的四个典型的微观状态已经存在于幼儿期。使用多元线性回归,我们证明了两个微观状态的时间动态与年龄和性别。来源本地化表明,注意力和认知控制相关的网络管理的地形的年龄和性别依赖的微观国家。这些新的发现提供了独特的见解与脑电图微观捕捉儿童的大脑功能发育。静息态脑电微观状态是头皮电位地形图的稳定期。它们反映了毫秒级大规模神经网络的活动。年龄和性别与幼儿期两个微观状态的时间动态有关。它们的来源代表了与注意力和认知控制相关的网络。微观状态为儿童早期的大脑发育提供了独特的见解。
The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined using resting-state electroencephalography (EEG) microstates, representing transient periods of synchronized neural activity that evolve dynamically over time. In adults, four canonical microstates have been shown to explain most topographic variance in resting-state EEG. Their temporal structures are age-, sex- and state-dependent, and are susceptible to pathological brain states. However, no studies have assessed the spatial and temporal properties of EEG microstates exclusively during early childhood, a critical period of rapid brain development. Here we sought to investigate EEG microstates recorded with high-density EEG in a large sample of 103, 4–8-year-old children. Using data-driven k-means cluster analysis, we show that the four canonical microstates reported in adult populations already exist in early childhood. Using multiple linear regressions, we demonstrate that the temporal dynamics of two microstates are associated with age and sex. Source localization suggests that attention- and cognitive control-related networks govern the topographies of the age- and sex-dependent microstates. These novel findings provide unique insights into functional brain development in children captured with EEG microstates. Resting-state EEG microstates are stable periods of scalp potential topographies. They reflect the activity of large-scale neural networks at the millisecond-level. Age and sex relate to the temporal dynamics of two microstates during early childhood. Their sources represent attention- and cognitive control-related networks. Microstates provide unique insights into brain development during early childhood.
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发表时间: 2022-08-05
影响因子: 5.9
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