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The mechanisms behind perivascular fluid flow.

Cécile Daversin-Catty1, Vegard Vinje1, Kent-André Mardal1,2

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Cerebrospinal fluid (CSF) flow in perivascular spaces (PVS) drives brain clearance. Computational models show arterial motion and CSF pressure gradients create significant net and oscillatory PVS flow, matching experimental data.

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Area of Science:

  • Neuroscience
  • Fluid Dynamics
  • Biomedical Engineering

Background:

  • Cerebrospinal fluid (CSF) flow within perivascular spaces (PVS) is crucial for brain clearance.
  • Experimental studies confirm both net and oscillatory particle movement in PVS, but net flow mechanisms are debated.

Purpose of the Study:

  • To computationally investigate the mechanisms driving cerebrospinal fluid (CSF) flow in perivascular spaces (PVS).
  • To quantify the contributions of arterial wall expansion, CSF pressure changes, and arterial motion to PVS flow dynamics.

Main Methods:

  • Utilized computational fluid dynamics (CFD) to model CSF velocity and pressure in PVS around a cerebral artery.
  • Simulated forces included arterial wall expansion, systemic CSF pressure variations, and rigid arterial motions.

Main Results:

  • Arterial wall expansion produced high velocity amplitudes (60-260 μm/s).
  • Small net flow (<0.5 μm/s) occurred without pressure gradients, but physiologically plausible pressure gradients induced significant net flow (20-30 μm/s).
  • Combined forces generated net and oscillatory PVS flow comparable to experimental observations.

Conclusions:

  • Arterial wall expansion, rigid motions, and static CSF pressure gradients collectively explain observed net and oscillatory PVS flow.
  • The required static CSF pressure gradient for net flow is small, indicating its origin needs further investigation.