Spatial distribution of human arachnoid trabeculae.


Journal

Journal of anatomy
ISSN: 1469-7580
Titre abrégé: J Anat
Pays: England
ID NLM: 0137162

Informations de publication

Date de publication:
08 2020
Historique:
received: 22 10 2019
revised: 20 01 2020
accepted: 25 02 2020
pubmed: 24 3 2020
medline: 2 4 2021
entrez: 24 3 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32202332
doi: 10.1111/joa.13186
pmc: PMC7369197
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

275-284

Informations de copyright

© 2020 Anatomical Society.

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Auteurs

Nikolaus Benko (N)

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.

Emma Luke (E)

Department of Biomedical Engineering, University of Rochester, Rochester, NY, USA.

Yousef Alsanea (Y)

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.

Brittany Coats (B)

Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA.

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