Coupling Diffusion Imaging with Histological and Gene Expression Analysis to Examine the Dynamics of Cortical Areas across the Fetal Period of Human Brain Development
Coupling Diffusion Imaging with Histological and Gene Expression Analysis to Examine the Dynamics of Cortical Areas across the Fetal Period of Human Brain Development
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DOI：
10.1093/cercor/bhs241
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发表时间：
2013-11-01
期刊：
影响因子：
3.7
通讯作者：
Mori, Susumu
中科院分区：
文献类型：
--
作者：
Huang, Hao;Jeon, Tina;Mori, Susumu
作为人类胎儿大脑的重要组成部分，在胎儿发育过程中，脑壁的结构以层状组织为特征，其中包括放射状胶质支架。弥散张量成像（DTI）有助于定量描绘发育中的大脑的微观结构，并清楚地识别脑壁的瞬态胎儿层。本研究利用13 ~ 21孕周死后胎儿大脑的高分辨率DTI数据，定量表征了发育中的人胎儿脑壁的时空显微结构变化。整个脑壁每层11个感兴趣的区域被包括在内。新皮质板11个区域的显微结构变化具有明显的时间变化过程。结合组织学分析，阐明了DTI分数各向异性（FA）与组织学之间的关系。高FA值与组织学图像中有组织的放射状结构相关。在13 ~ 21孕周期间，我们对人类胎儿新皮质11个区域的17565个基因的表达水平进行了量化，以确定与FA变化有显著相关性的转录本。这些相关性表明，人类新皮层的异质性和区域特异性微观结构变化与不同的基因表达模式有关。
As a prominent component of the human fetal brain, the structure of the cerebral wall is characterized by its laminar organization which includes the radial glial scaffold during fetal development. Diffusion tensor imaging (DTI) is useful to quantitatively delineate the microstructure of the developing brain and to clearly identify transient fetal layers in the cerebral wall. In our study, the spatio-temporal microstructural changes in the developing human fetal cerebral wall were quantitatively characterized with high-resolution DTI data of postmortem fetal brains from 13 to 21 gestational weeks. Eleven regions of interest for each layer in the entire cerebral wall were included. Distinctive time courses of microstructural changes were revealed for 11 regions of the neocortical plate. A histological analysis was also integrated to elucidate the relationship between DTI fractional anisotropy (FA) and histology. High FA values correlated with organized radial architecture in histological image. Expression levels of 17565 genes were quantified for each of 11 regions of human fetal neocortex from 13 to 21 gestational weeks to identify transcripts showing significant correlation with FA change. These correlations suggest that the heterogeneous and regionally specific microstructural changes of the human neocortex are related to different gene expression patterns.