An In-Vitro Experimental Investigation of Oscillatory Flow in the Cerebral Aqueduct.

Cerebrospinal fluid dynamics Normal pressure hydrocephalus Transmantle pressure

Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
03 Apr 2023
Historique:
pubmed: 18 4 2023
medline: 18 4 2023
entrez: 17 4 2023
Statut: epublish

Résumé

The cerebrospinal fluid filling the ventricles of the brain moves with a cyclic velocity driven by the transmantle pressure, or instantaneous pressure difference between the lateral ventricles and the cerebral subarachnoid space. This dynamic phenomenon is of particular interest for understanding ventriculomegaly in cases of normal pressure hydrocephalus (NPH). The magnitude of the transmantle pressure is small, on the order of a few Pascals, thereby hindering direct Dimensional analysis is used in designing a scaled-up model of the aqueduct flow, with physical similarity maintained by adjusting the flow frequency and the properties of the working fluid. High-resolution MRI images are used to generate a 3D-printed anatomically correct aqueduct model. A programmable pump is used to generate a pulsatile flow rate signal measured from phase-contrast MRI. Extensive experiments are performed to investigate the relation between the cyclic fluctuations of the aqueduct flow rate and the transmantle pressure fluctuation over the range of flow conditions commonly encountered in healthy subjects. The time-dependent pressure measurements are validated through comparisons with predictions obtained with a previously derived computational model. Parametric dependences of the pressure-fluctuation amplitude and its phase lag relative to the flow rate are delineated. The results indicate, for example, that the phase lag is nearly independent on the stroke volume. A simple expression relating the mean amplitude of the interventricular pressure difference (between third and fourth ventricle) with the stroke volume of the oscillatory flow is established. MRI-informed in-vitro experiments using an anatomically correct model of the cerebral aqueduct and a realistic flow rate have been used to characterize transmantle pressure. The quantitative results can be useful in enabling quick clinical assessments of transmantle pressure to be made from noninvasive phase contrast MRI measurements of aqueduct flow rates. The scaled-up experimental facility provides the ability to conduct future experiments specifically aimed at investigating altered CSF flow and associated transmantle pressure, as needed in connection with NPH studies.

Sections du résumé

Background UNASSIGNED
The cerebrospinal fluid filling the ventricles of the brain moves with a cyclic velocity driven by the transmantle pressure, or instantaneous pressure difference between the lateral ventricles and the cerebral subarachnoid space. This dynamic phenomenon is of particular interest for understanding ventriculomegaly in cases of normal pressure hydrocephalus (NPH). The magnitude of the transmantle pressure is small, on the order of a few Pascals, thereby hindering direct
Methods UNASSIGNED
Dimensional analysis is used in designing a scaled-up model of the aqueduct flow, with physical similarity maintained by adjusting the flow frequency and the properties of the working fluid. High-resolution MRI images are used to generate a 3D-printed anatomically correct aqueduct model. A programmable pump is used to generate a pulsatile flow rate signal measured from phase-contrast MRI. Extensive experiments are performed to investigate the relation between the cyclic fluctuations of the aqueduct flow rate and the transmantle pressure fluctuation over the range of flow conditions commonly encountered in healthy subjects. The time-dependent pressure measurements are validated through comparisons with predictions obtained with a previously derived computational model.
Results UNASSIGNED
Parametric dependences of the pressure-fluctuation amplitude and its phase lag relative to the flow rate are delineated. The results indicate, for example, that the phase lag is nearly independent on the stroke volume. A simple expression relating the mean amplitude of the interventricular pressure difference (between third and fourth ventricle) with the stroke volume of the oscillatory flow is established.
Conclusions UNASSIGNED
MRI-informed in-vitro experiments using an anatomically correct model of the cerebral aqueduct and a realistic flow rate have been used to characterize transmantle pressure. The quantitative results can be useful in enabling quick clinical assessments of transmantle pressure to be made from noninvasive phase contrast MRI measurements of aqueduct flow rates. The scaled-up experimental facility provides the ability to conduct future experiments specifically aimed at investigating altered CSF flow and associated transmantle pressure, as needed in connection with NPH studies.

Identifiants

pubmed: 37066335
doi: 10.21203/rs.3.rs-2757861/v1
pmc: PMC10104269
pii:
doi:

Types de publication

Preprint

Langues

eng

Déclaration de conflit d'intérêts

Competing interests The authors declare that they have no competing interests. Additional Declarations: No competing interests reported.

Auteurs

Stephanie Sincomb (S)

Department of Mechanical and Aerospace Engineering, University of California- San Diego, La Jolla, US.

Francisco Moral-Pulido (F)

Departamento de Ingeniería Mecánica y Minera, Universidad de Jaén, Jaén, Spain.
Andalusian Institute for Earth System Research, Universidad de Jaén, Jaén, Spain.

Obed Campos (O)

Department of Mechanical and Aerospace Engineering, University of California- San Diego, La Jolla, US.

Carlos Martínez-Bazán (C)

Departamento de Mecánica de Estructuras e Ingeniería Hidráulica, Universidad de Granada, Granada, Spain.
Andalusian Institute for Earth System Research, Universidad de Granada, Granada, Spain.

Victor Haughton (V)

School of Medicine and Public Health, University of Wisconsin, Madison, US.

Antonio L Sánchez (AL)

Department of Mechanical and Aerospace Engineering, University of California- San Diego, La Jolla, US.

Classifications MeSH