Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain

Sweetman, Brian J.; Xenos, Michalis; Zitella, Laura; Linninger, Andreas A.

doi:10.1016/j.compbiomed.2010.12.001

Cited by 82 publications

(101 citation statements)

References 30 publications

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“…Wall effects of pulsatile CSF flow in the ventricular space have received little attention so far. Biological studies in animal or in vitro models have mostly focused on flow and WSS induced by the cilia alone [4,26], whereas macroscopic flows have been approached predominantly from a neurosurgical [27,29,30], radiological [31][32][33] or biomedical [15][16][17][18]20] point of view, mostly without interest in WSS or near-wall dynamics. In point of fact, WSS estimates from radiological studies are limited by the near-wall resolution, whereas numerical investigations have been limited by underlying model assumptions, including simplified geometries, steady flows, neglected wall motion, choroid plexus pulsations or cilia action.…”

Section: Resultsmentioning

confidence: 99%

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Flow induced by ependymal cilia dominates near-wall cerebrospinal fluid dynamics in the lateral ventricles

Siyahhan

Knobloch

Zélicourt

et al. 2014

J. R. Soc. Interface.

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While there is growing experimental evidence that cerebrospinal fluid (CSF) flow induced by the beating of ependymal cilia is an important factor for neuronal guidance, the respective contribution of vascular pulsation-driven macroscale oscillatory CSF flow remains unclear. This work uses computational fluid dynamics to elucidate the interplay between macroscale and cilia-induced CSF flows and their relative impact on near-wall dynamics. Physiological macroscale CSF dynamics are simulated in the ventricular space using subject-specific anatomy, wall motion and choroid plexus pulsations derived from magnetic resonance imaging. Near-wall flow is quantified in two subdomains selected from the right lateral ventricle, for which dynamic boundary conditions are extracted from the macroscale simulations. When cilia are neglected, CSF pulsation leads to periodic flow reversals along the ventricular surface, resulting in close to zero time-averaged force on the ventricle wall. The cilia promote more aligned wall shear stresses that are on average two orders of magnitude larger compared with those produced by macroscopic pulsatile flow. These findings indicate that CSF flow-mediated neuronal guidance is likely to be dominated by the action of the ependymal cilia in the lateral ventricles, whereas CSF dynamics in the centre regions of the ventricles is driven predominantly by wall motion and choroid plexus pulsation.

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Section: Resultsmentioning

confidence: 99%

“…These are known to produce pulsatile CSF flow with velocities several orders of magnitude larger than those generated by the cilia [15][16][17][18][19][20]. Vice versa, none of the investigations of large-scale CSF dynamics has taken into account the effect of cilia motion.…”

Section: Introductionmentioning

confidence: 99%

Flow induced by ependymal cilia dominates near-wall cerebrospinal fluid dynamics in the lateral ventricles

Siyahhan

Knobloch

Zélicourt

et al. 2014

J. R. Soc. Interface.

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“…The flow velocities at the boundaries reported by the simplified model were too low by a factor of two at minimum, and consequently, the validity of the entire flow and pressure field of the accurate model that depended on these boundary conditions was jeopardized. In 2011, Sweetman et al proposed a model of the entire CSF space as an expansion of their previous 2D and 3D work on the cranial compartments [41][42][43]. The authors took a distinctly different approach than Howden et al, in that they prioritized the scope of the model over detail of the individual modules.…”

Section: Ventricular Spacementioning

confidence: 96%

“…8.3.1 [41][42][43]. In a pair of papers published in 2009 and 2010, my group investigated flow in an anatomically accurate representation of a healthy cranial SAS and fourth ventricle [3,4].…”

Section: Cranial Subarachnoid Spacementioning

confidence: 99%

Computational Fluid Dynamics for the Assessment of Cerebrospinal Fluid Flow and Its Coupling with Cerebral Blood Flow

Kurtcuoglu

2011

Biomechanics of the Brain

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The dynamics of cerebrospinal fluid flow are directly linked to those of the cardiovascular system. The heart not only drives blood flow, but is also at the origin of CSF pulsation through the expansion and contraction of cerebral blood vessels. As was detailed in the preceding chapter, CSF dynamics can be altered by diseases and conditions such as hydrocephalus and, in turn, CSF dynamics can be analyzed to aid in the diagnosis of these. Bulk models describing intracranial fluid dynamics and punctual flow measurements using MRI have thus become important tools for this purpose.The strength of bulk models is that they are computationally inexpensive. Simulations performed with such models and processing of the results generally do not require high-performance computing (HPC) resources and can be carried out very quickly on common personal computers. This is currently a prerequisite for application in clinical settings, where typically no access to HPC infrastructure is available. In terms of applicability, the hunger for computer power is the main differentiator between bulk models and computational fluid dynamics (CFD) models of intracranial dynamics. Unlike the bulk approach, however, CFD models can provide spatially resolved information on flow, pressure and mass transport, which opens the door to subject-specific calculations of intracranial dynamics based on medical imaging data. This chapter elucidates current approaches to CFD modeling of cerebrospinal fluid flow and its interaction with blood flow.The development of CFD was driven by the lack of analytical solutions for the Navier-Stokes (NS) equations that describe momentum conservation in Newtonian

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“…Suspended particles are ignored, as typical diameters of red blood cells (7.6 m) and platelets (2.5 m) [35] are small relative to the size of the blood vessel (3 -4 mm). Blood is assumed to be an incompressible, Newtonian fluid [36], with density and dynamic viscosity being taken as 1060 kg·m -3 and 0.0035 kg·m…”

Section: Fluid Propertiesmentioning

confidence: 99%

Influence of the aspect ratio on the endovascular treatment of intracranial aneurysms: A computational investigation

Tang¹,

Lai²,

Leung³

et al. 2012

JBiSE

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Intracranial aneurysm, a localized dilation of arterial blood vessels in the Circle of Willis and its branches, is potentially life threatening, due to massive bleeding in the subarachnoid space upon rupture. In clinical practice, one minimally invasive surgical procedure is the implantation of a metallic stent to cover the aneurysm neck. This flow diverting device can reduce the flow into the aneurysm and enhance the prospect of thrombosis, a condition expected to reduce the risk of growth and rupture. The biomechanical and haemodynamic factors in stented and nonstented situations are studied by computational fluid dynamics. Unlike earlier models with straight or curved parent blood vessels, the aneurysm is now located near an arterial bifurcation. The influence of the aspect (depth to neck) ratio of the aneurysm on the flow dynamics will be emphasized, especially in the post-operation stages. More precisely, the maximum flow velocity, the variations of wall shear stress, the risk of stent migration and volumetric flow rate after endovascular treatment will be studied. Aneurysms with larger aspect ratios (i.e. smaller neck sizes for constant depth) generally pose a greater risk in terms of these flow parameters. These results will assist the applications and design of stents in future neurosurgical therapy. The approach is limited to a nonelastic model, without taking into account of questions like stent expansion and interaction with tissue.

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Three-dimensional computational prediction of cerebrospinal fluid flow in the human brain

Cited by 82 publications

References 30 publications

Flow induced by ependymal cilia dominates near-wall cerebrospinal fluid dynamics in the lateral ventricles

Flow induced by ependymal cilia dominates near-wall cerebrospinal fluid dynamics in the lateral ventricles

Computational Fluid Dynamics for the Assessment of Cerebrospinal Fluid Flow and Its Coupling with Cerebral Blood Flow

Influence of the aspect ratio on the endovascular treatment of intracranial aneurysms: A computational investigation

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