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发育中的人类胎儿大脑连接组构建与量化中的挑战与机遇

Challenges and Opportunities in Connectome Construction and Quantification in the Developing Human Fetal Brain.

作者信息

Hunt David, Dighe Manjiri, Gatenby Christopher, Studholme Colin

机构信息

Department of Pediatrics.

Department of Radiology.

出版信息

Top Magn Reson Imaging. 2019 Oct;28(5):265-273. doi: 10.1097/RMR.0000000000000212.

Abstract

The white matter structure of the human brain undergoes critical developmental milestones in utero, which we can observe noninvasively using diffusion-weighted magnetic resonance imaging. In order to understand this fascinating developmental process, we must establish the variability inherent in such a challenging imaging environment and how measurable quantities can be transformed into meaningful connectomes. We review techniques for reconstructing and studying the brain connectome and explore promising opportunities for in utero studies that could lead to more accurate measurement of structural properties and allow for more refined and insightful analyses of the fetal brain. Opportunities for more sophisticated analyses of the properties of the brain and its dynamic changes have emerged in recent years, based on the development of iterative techniques to reconstruct motion-corrupted diffusion-weighted data. Although reconstruction quality is greatly improved, the treatment of fundamental quantities like edge strength requires careful treatment because of the specific challenges of imaging in utero. There are intriguing challenges to overcome, from those in analysis due to both imaging limitations and the significant changes in structural connectivity, to further image processing to address the specific properties of the target anatomy and quantification into a developmental connectome.

摘要

人类大脑的白质结构在子宫内经历关键的发育里程碑,我们可以使用扩散加权磁共振成像进行无创观察。为了理解这一迷人的发育过程,我们必须确定在如此具有挑战性的成像环境中固有的变异性,以及如何将可测量的量转化为有意义的连接组。我们回顾了用于重建和研究大脑连接组的技术,并探索子宫内研究的有前景的机会,这些研究可能导致对结构特性进行更准确的测量,并允许对胎儿大脑进行更精细和有见地的分析。近年来,基于迭代技术的发展,用于重建运动受损的扩散加权数据,出现了对大脑特性及其动态变化进行更复杂分析的机会。尽管重建质量有了很大提高,但由于子宫内成像的特定挑战,像边缘强度这样的基本量的处理需要谨慎对待。从由于成像限制和结构连接性的显著变化而在分析中遇到的挑战,到进一步的图像处理以解决目标解剖结构的特定特性并量化为发育连接组,都有有趣的挑战需要克服。

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