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Assessment of Structural Connectivity in the Preterm Brain at Term Equivalent Age Using Diffusion MRI and T2 Relaxometry: A Network-Based Analysis

机译:使用扩散MRI和T2弛豫法评估足月同龄早产儿大脑的结构连接性:基于网络的分析

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摘要

Preterm birth is associated with a high prevalence of adverse neurodevelopmental outcome. Non-invasive techniques which can probe the neural correlates underpinning these deficits are required. This can be achieved by measuring the structural network of connections within the preterm infant's brain using diffusion MRI and tractography. We used diffusion MRI and T2 relaxometry to identify connections with altered white matter properties in preterm infants compared to term infants. Diffusion and T2 data were obtained from 9 term neonates and 18 preterm-born infants (born <32 weeks gestational age) at term equivalent age. Probabilistic tractography incorporating multiple fibre orientations was used in combination with the Johns Hopkins neonatal brain atlas to calculate the structural network of connections. Connections of altered diffusivity or T2, as well as their relationship with gestational age at birth and postmenstrual age at the time of MRI, were identified using the network based statistic framework. A total of 433 connections were assessed. FA was significantly reduced in 17, and T2 significantly increased in 18 connections in preterm infants, following correction for multiple comparisons. Cortical networks associated with affected connections mainly involved left frontal and temporal cortical areas: regions which are associated with working memory, verbal comprehension and higher cognitive function – deficits which are often observed later in children and adults born preterm. Gestational age at birth correlated with T2, but not diffusion in several connections. We found no association between diffusion or T2 and postmenstrual age at the time of MRI in preterm infants. This study demonstrates that alterations in the structural network of connections can be identified in preterm infants at term equivalent age, and that incorporation of non-diffusion measures such as T2 in the connectome framework provides complementary information for the assessment of brain development.
机译:早产与不良神经发育结局的高患病率相关。需要能够探测支持这些缺陷的神经相关性的非侵入性技术。这可以通过使用扩散MRI和MRI来测量早产婴儿大脑内的连接结构网络来实现。我们使用扩散MRI和T2弛豫法来确定早产儿与足月儿相比白质性质改变的联系。扩散和T2数据来自9个足月新生儿和18个足月等效年龄早产儿(出生时小于32周的胎龄)。结合了多种纤维取向的概率束学与Johns Hopkins新生儿脑图谱结合使用来计算连接的结构网络。使用基于网络的统计框架,可以确定扩散系数或T2改变的关系,以及它们与MRI出生时的胎龄和月经后年龄的关系。总共评估了433个连接。经过多次比较校正后,早产儿的FA显着降低了17例,T2显着升高了18例。与受影响的连接有关的皮质网络主要涉及左额叶和颞皮质区域:与工作记忆,言语理解和更高的认知功能相关的区域–缺陷通常在早产儿和成年后发现。出生时的胎龄与T2相关,但在几个方面与扩散无关。我们发现早产儿在MRI时扩散或T2与月经后年龄之间没有关联。这项研究表明,可以在足月同龄的早产儿中识别出连接结构网络的变化,并且在连接组框架中纳入非扩散措施(例如T2)可为评估大脑发育提供补充信息。

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