Age-dynamic networks and functional correlation for early white matter myelination.
Age-dynamic networks and functional correlation for early white matter myelination.
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DOI：
10.1007/s00429-018-1785-z
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发表时间：
2019-03
影响因子：
3.1
通讯作者：
Deoni SCL
中科院分区：
文献类型：
--
作者：
Dai X;Müller HG;Wang JL;Deoni SCL
整个童年时期有髓鞘白色物质的成熟是一个关键的发育过程，是新兴连接和大脑功能的基础。为了响应遗传影响和神经元活动，髓鞘形成有助于建立支持认知和行为技能的成熟神经网络。传统上使用功能成像数据研究的脑网络的出现和细化也可以使用纵向结构成像数据进行询问。然而，在整个婴儿期和幼儿期的结构网络发展的研究很少，可能是由于稀疏和不规则的性质，最纵向的神经影像学数据，这使动态分析复杂化。在这里，我们克服了这一限制，并通过并发相关性的共同发展的白色物质髓鞘和体积，和结构网络的发展白色物质髓鞘之间的脑区域作为年龄的函数，使用统计学支持的方法。我们发现白色物质髓鞘形成和体积的同时相关性总体上是正的，并在580天达到峰值。大脑区域被发现在整个幼儿期的整体大小和随时间变化的关联模式不同。我们介绍了时间动态发展网络的基础上的时间相似性的关联模式的髓鞘形成水平跨脑区。这些网络反映了大脑区域的群体，这些区域具有相似的区域内连接模式，如髓鞘形成水平所证明的，是生物学上可解释的，并提供了大脑发育的新可视化。比较不同母亲教育群体之间构建的网络，我们发现，具有较高和较低母亲教育的儿童在时间动态相关性的整体幅度上存在显着差异。
The maturation of the myelinated white matter throughout childhood is a critical developmental process that underlies emerging connectivity and brain function. In response to genetic influences and neuronal activities, myelination helps establish the mature neural networks that support cognitive and behavioral skills. The emergence and refinement of brain networks, traditionally investigated using functional imaging data, can also be interrogated using longitudinal structural imaging data. However, few studies of structural network development throughout infancy and early childhood have been presented, likely owing to the sparse and irregular nature of most longitudinal neuroimaging data, which complicates dynamic analysis. Here, we overcome this limitation and investigate through concurrent correlation the co-development of white matter myelination and volume, and structural network development of white matter myelination between brain regions as a function of age, using statistically well-supported methods. We show that the concurrent correlation of white matter myelination and volume is overall positive and reaches a peak at 580 days. Brain regions are found to differ in overall magnitudes and patterns of time-varying association throughout early childhood. We introduce time-dynamic developmental networks based on temporal similarity of association patterns in the levels of myelination across brain regions. These networks reflect groups of brain regions that share similar patterns of evolving intra-regional connectivity, as evidenced by levels of myelination, are biologically interpretable and provide novel visualizations of brain development. Comparing the constructed networks between different maternal education groups, we found that children with higher and lower maternal education differ significantly in the overall magnitude of the time-dynamic correlations.
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影响因子：
3
作者：
Hagmann P;Grant PE;Fair DA
通讯作者：
Fair DA
影响因子：
5.7
作者：
Dean DC 3rd;O'Muircheartaigh J;Dirks H;Waskiewicz N;Lehman K;Walker L;Han M;Deoni SC
通讯作者：
Deoni SC
影响因子：
2.3
作者：
Dean, Douglas C., III;Dirks, Holly;O'Muircheartaigh, Jonathan;Walker, Lindsay;Jerskey, Beth A.;Lehman, Katie;Han, Michelle;Waskiewicz, Nicole;Deoni, Sean C. L.
通讯作者：
Deoni, Sean C. L.
影响因子：
3.3
作者：
Deoni, Sean C. L.;Rutt, Brian K.;Jones, Derek K.
通讯作者：
Jones, Derek K.
影响因子：
3.1
作者：
Deoni SC;O'Muircheartaigh J;Elison JT;Walker L;Doernberg E;Waskiewicz N;Dirks H;Piryatinsky I;Dean DC 3rd;Jumbe NL
通讯作者：
Jumbe NL