Structural and Maturational Covariance in Early Childhood Brain Development

Structural and Maturational Covariance in Early Childhood Brain Development
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DOI:
10.1093/cercor/bhw022
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发表时间:
2017-03-01
期刊:
影响因子:
3.7
通讯作者:
Gilmore, John H.
Gilmore, John H.
中科院分区:
医学2区
文献类型:
--
作者:
Geng, Xiujuan;Li, Gang;Gilmore, John H.

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由相关变异区域组成的脑结构协方差网络(SCNs)在神经精神疾病中发生改变,并随年龄变化。儿童早期是皮层快速生长的时期,对scn的发育知之甚少。我们调查了118名出生至2岁儿童的结构和成熟协方差网络的发展,包括默认网络、背侧注意网络、初级视觉网络和感觉运动网络,并将它们与内在功能连接网络进行了比较。我们发现所有网络的结构协方差都表现出很强的相关性,这些相关性主要局限于它们的种子区域。到2岁时,默认和背侧注意结构网络的分布与其功能地图相比要少得多。然而,成熟协方差图揭示了分布区域之间变化率的显著耦合,这部分概括了它们的功能网络。初级视觉和感觉运动网络的结构和成熟协方差与相应的功能网络表现出相似的模式。结果表明,功能网络先于结构网络存在,成人的相关结构模式可能部分源于协调的皮质成熟,功能网络的区域协同激活可能指导和完善scn在儿童发育过程中的成熟。
Brain structural covariance networks (SCNs) composed of regions with correlated variation are altered in neuropsychiatric disease and change with age. Little is known about the development of SCNs in early childhood, a period of rapid cortical growth. We investigated the development of structural and maturational covariance networks, including default, dorsal attention, primary visual and sensorimotor networks in a longitudinal population of 118 children after birth to 2 years old and compared them with intrinsic functional connectivity networks. We found that structural covariance of all networks exhibit strong correlations mostly limited to their seed regions. By Age 2, default and dorsal attention structural networks are much less distributed compared with their functional maps. The maturational covariance maps, however, revealed significant couplings in rates of change between distributed regions, which partially recapitulate their functional networks. The structural and maturational covariance of the primary visual and sensorimotor networks shows similar patterns to the corresponding functional networks. Results indicate that functional networks are in place prior to structural networks, that correlated structural patterns in adultmay arise in part fromcoordinated corticalmaturation, and that regional co-activation in functional networks may guide and refine the maturation of SCNs over childhood development.