Spatial distribution of human arachnoid trabeculae
Spatial distribution of human arachnoid trabeculae
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DOI：
10.1111/joa.13186
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发表时间：
2020-08-01
影响因子：
2.4
通讯作者：
Coats, Brittany
中科院分区：
文献类型：
--
作者：
Benko, Nikolaus;Luke, Emma;Coats, Brittany
创伤性脑损伤（TBI）是一种常见的损伤形式，影响不同的患者人群。当头部撞击导致大脑过度变形时，就会发生轴突损伤。以往的研究表明，蛛网膜下隙的蛛网膜小梁（AT）显着影响在撞击过程中的脑变形的大小和分布。然而，人类颅骨AT的数量和空间分布尚不清楚。这些微观结构特征的量化将提高对TBI期间力传递的理解，并且可能是显微神经外科手术的有价值的数据集。在这项研究中，我们量化的空间分布的颅AT在7个死后的人类受试者。使用光学相干断层扫描（OCT）对人脑表面的AT微结构进行原位成像。对OCT图像进行分割，以通过体积分数（VF）测量来量化小梁结构的相对量。每个大脑的平均VF范围为22.0%至29.2%。在所有的大脑中，都存在正的空间相关性，靠近大脑上级方面的VF显著增加12%（p < .005），额叶显著增加5%-10%（p < .005）。这些发现表明，AT在大脑和颅骨之间的分布是异质的，区域依赖性的，并可能有助于脑变形模式。这项研究是第一个对人类大脑AT进行成像和量化并识别区域依赖性的研究。这种空间异质性的结合可以提高人类TBI的计算模型的准确性，并增强对脑动力学的理解。
Traumatic brain injury (TBI) is a common injury modality affecting a diverse patient population. Axonal injury occurs when the brain experiences excessive deformation as a result of head impact. Previous studies have shown that the arachnoid trabeculae (AT) in the subarachnoid space significantly influence the magnitude and distribution of brain deformation during impact. However, the quantity and spatial distribution of cranial AT in humans is unknown. Quantification of these microstructural features will improve understanding of force transfer during TBI, and may be a valuable dataset for microneurosurgical procedures. In this study, we quantify the spatial distribution of cranial AT in seven post-mortem human subjects. Optical coherence tomography (OCT) was used to conduct in situ imaging of AT microstructure across the surface of the human brain. OCT images were segmented to quantify the relative amounts of trabecular structures through a volume fraction (VF) measurement. The average VF for each brain ranged from 22.0% to 29.2%. Across all brains, there was a positive spatial correlation, with VF significantly greater by 12% near the superior aspect of the brain (p < .005), and significantly greater by 5%-10% in the frontal lobes (p < .005). These findings suggest that the distribution of AT between the brain and skull is heterogeneous, region-dependent, and likely contributes to brain deformation patterns. This study is the first to image and quantify human AT across the cerebrum and identify region-dependencies. Incorporation of this spatial heterogeneity may improve the accuracy of computational models of human TBI and enhance understanding of brain dynamics.