Spatial distribution of human arachnoid trabeculae. Issue 2 (23rd March 2020) - Benko, Nikolaus
Abstract: 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. Abstract : This study is the first to image human arachnoid trabeculae in situ and quantify the spatial distribution across the cerebrum. Incorporation of this spatial heterogeneity may improve the accuracy of computational models of human TBI, and enhance understanding of brain injury dynamics.