Literature DB >> 25643401

Microstructural Characterization of the Pia-Arachnoid Complex Using Optical Coherence Tomography.

Gregory G Scott, Brittany Coats.   

Abstract

Traumatic brain injury (TBI) is one of the leading causes of death and disability in the world, and is often identified by the presence of subdural and/or subarachnoid hemorrhages that develop from ruptured cortical vessels during brain-skull displacement. The pia-arachnoid complex (PAC), also known as the leptomeninges, is the major mechanical connection between the brain and skull, and influences cortical vessel deformation and rupture following brain trauma. This complex consists of cerebrospinal fluid, arachnoid trabeculae, and subarachnoid vasculature sandwiched between the arachnoid and pia mater membranes. Remarkably, studies of the tissues in the PAC are largely qualitative and do not provide numerical metrics of population density and variability of the arachnoid trabeculae and subarachnoid vasculature. In this study, microstructural imaging was performed on the PAC to numerically quantify these metrics. Five porcine brains were perfusion-fixed and imaged in situ using optical coherence tomography with micrometer resolution. Image processing was performed to estimate the volume fraction (VF) of the arachnoid trabeculae and subarachnoid vasculature in 12 regions of the brain. High regional variability was found within each brain, with individual brains exhibiting up to a 38.4 percentage-point range in VF. Regions with high VF were often next to regions with low VF. This suggests that some areas of the brain may be mechanically weaker, increasing their susceptibility to hemorrhage during TBI events. This study provides the first quantifiable data of arachnoid trabeculae and subarachnoid vasculature distribution within the PAC and will be valuable to understanding brain biomechanics during head trauma.

Entities:  

Year:  2015        PMID: 25643401     DOI: 10.1109/TMI.2015.2396527

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  8 in total

1.  Blast Scaling Parameters: Transitioning from Lung to Skull Base Metrics.

Authors:  Brandon P Lucke-Wold; Ryan C Turner; Aric Flint Logsdon; Charles L Rosen; Rabia Qaiser
Journal:  J Surg Emerg Med       Date:  2017-01-10

2.  In vivo characterization of 3D skull and brain motion during dynamic head vibration using magnetic resonance elastography.

Authors:  Ziying Yin; Yi Sui; Joshua D Trzasko; Phillip J Rossman; Armando Manduca; Richard L Ehman; John Huston
Journal:  Magn Reson Med       Date:  2018-05-17       Impact factor: 4.668

3.  Measurement and Finite Element Model Validation of Immature Porcine Brain-Skull Displacement during Rapid Sagittal Head Rotations.

Authors:  Stephanie A Pasquesi; Susan S Margulies
Journal:  Front Bioeng Biotechnol       Date:  2018-02-21

4.  First in vivo visualization of the human subarachnoid space and brain cortex via optical coherence tomography.

Authors:  Karl Hartmann; Klaus-Peter Stein; Belal Neyazi; Ibrahim Erol Sandalcioglu
Journal:  Ther Adv Neurol Disord       Date:  2019-04-11       Impact factor: 6.570

5.  Ex-vivo quantification of ovine pia arachnoid complex biomechanical properties under uniaxial tension.

Authors:  Gabryel Conley Natividad; Sophia K Theodossiou; Nathan R Schiele; Gordon K Murdoch; Alkiviadis Tsamis; Bertrand Tanner; Gabriel Potirniche; Martin Mortazavi; David A Vorp; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2020-11-12

6.  Mechanical and structural characterisation of the dural venous sinuses.

Authors:  Darragh R Walsh; James J Lynch; David T O' Connor; David T Newport; John J E Mulvihill
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

7.  Spatial distribution of human arachnoid trabeculae.

Authors:  Nikolaus Benko; Emma Luke; Yousef Alsanea; Brittany Coats
Journal:  J Anat       Date:  2020-03-23       Impact factor: 2.921

8.  Dispersion in porous media in oscillatory flow between flat plates: applications to intrathecal, periarterial and paraarterial solute transport in the central nervous system.

Authors:  M Keith Sharp; Roxana O Carare; Bryn A Martin
Journal:  Fluids Barriers CNS       Date:  2019-05-06
  8 in total

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