Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO 63110, USA.
Croatian Institute for Brain Research, School of Medicine, University of Zagreb School of Medicine, Zagreb 10000, Croatia.
Neuron. 2022 Dec 7;110(23):4015-4030.e4. doi: 10.1016/j.neuron.2022.09.020. Epub 2022 Oct 14.
Cerebral white matter undergoes a rapid and complex maturation during the early postnatal period. Prior magnetic resonance imaging (MRI) studies of early postnatal development have often been limited by small sample size, single-modality imaging, and univariate analytics. Here, we applied nonnegative matrix factorization, an unsupervised multivariate pattern analysis technique, to Tw/Tw signal ratio maps from the Developing Human Connectome Project (n = 342 newborns) revealing patterns of coordinated white matter maturation. These patterns showed divergent age-related maturational trajectories, which were replicated in another independent cohort (n = 239). Furthermore, we showed that Tw/Tw signal variations in these maturational patterns are explained by differential contributions of white matter microstructural indices derived from diffusion-weighted MRI. Finally, we demonstrated how white matter maturation patterns relate to distinct histological features by comparing our findings with postmortem late fetal/early postnatal brain tissue staining. Together, these results delineate concise and effective representation of early postnatal white matter reorganization.
大脑白质在出生后的早期经历快速而复杂的成熟过程。之前对早期出生后发育的磁共振成像(MRI)研究往往受到样本量小、单模态成像和单变量分析的限制。在这里,我们应用非负矩阵分解(一种无监督的多元模式分析技术)对来自发展中的人类连接组计划(n=342 名新生儿)的 Tw/Tw 信号比图进行分析,揭示了协调的白质成熟模式。这些模式表现出与年龄相关的发散性成熟轨迹,在另一个独立队列(n=239)中得到了复制。此外,我们还表明,这些成熟模式中的 Tw/Tw 信号变化可以通过来自扩散加权 MRI 的白质微观结构指数的差异贡献来解释。最后,我们通过将我们的发现与死后晚期胎儿/早期新生儿脑组织染色进行比较,展示了白质成熟模式与不同组织学特征的关系。总之,这些结果描绘了早期出生后白质重组的简明有效表示。