Short Sarah J, Jang Dae Kun, Steiner Rachel J, Stephens Rebecca L, Girault Jessica B, Styner Martin, Gilmore John H
Department of Educational Psychology, University of Wisconsin-Madison, Madison, WI, United States.
Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, United States.
Front Neurosci. 2022 Mar 23;16:806268. doi: 10.3389/fnins.2022.806268. eCollection 2022.
Diffusion Tensor Imaging (DTI) is a non-invasive neuroimaging method that has become the most widely employed MRI modality for investigations of white matter fiber pathways. DTI has proven especially valuable for improving our understanding of normative white matter maturation across the life span and has also been used to index clinical pathology and cognitive function. Despite its increasing popularity, especially in pediatric research, the majority of existing studies examining infant white matter maturation depend on regional or white matter skeleton-based approaches. These methods generally lack the sensitivity and spatial specificity of more advanced functional analysis options that provide information about microstructural properties of white matter along fiber bundles. DTI studies of early postnatal brain development show that profound microstructural and maturational changes take place during the first two years of life. The pattern and rate of these changes vary greatly throughout the brain during this time compared to the rest of the life span. For this reason, appropriate image processing of infant MR imaging requires the use of age-specific reference atlases. This article provides an overview of the pre-processing, atlas building, and the fiber tractography procedures used to generate two atlas resources, one for neonates and one for 1- to 2-year-old populations. the UNC-NAMIC DTI Fiber Analysis Framework, our pediatric atlases provide the computational templates necessary for the fully automatic analysis of infant DTI data. To the best of our knowledge, these atlases are the first comprehensive population diffusion fiber atlases in early pediatric ages that are publicly available.
扩散张量成像(DTI)是一种非侵入性神经成像方法,已成为用于研究白质纤维束的应用最为广泛的磁共振成像(MRI)方式。DTI已被证明在增进我们对整个生命周期中正常白质成熟的理解方面特别有价值,并且还被用于对临床病理学和认知功能进行索引。尽管DTI越来越受欢迎,尤其是在儿科研究中,但现有的大多数研究婴儿白质成熟的研究都依赖于基于区域或白质骨架的方法。这些方法通常缺乏更先进的功能分析选项的敏感性和空间特异性,而这些选项能够提供沿纤维束的白质微观结构特性的信息。对出生后早期大脑发育的DTI研究表明,在生命的头两年中会发生深刻的微观结构和成熟变化。与生命的其他阶段相比,在此期间这些变化的模式和速率在整个大脑中差异很大。因此,对婴儿磁共振成像进行适当的图像处理需要使用特定年龄的参考图谱。本文概述了用于生成两种图谱资源(一种用于新生儿,一种用于1至2岁人群)的预处理、图谱构建和纤维束成像程序。通过UNC-NAMIC DTI纤维分析框架,我们的儿科图谱提供了对婴儿DTI数据进行全自动分析所需的计算模板。据我们所知,这些图谱是早期儿科年龄段中首批公开可用的全面的群体扩散纤维图谱。