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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Fluid Dynamics

    Background:

    • Cerebral venous system biomechanics is crucial for brain blood flow.
    • Previous computational models (lumped-parameter, 1D CFD) have limitations.
    • Cerebral venous collapse is hypothesized in conditions like idiopathic intracranial hypertension.

    Purpose of the Study:

    • To investigate the role of cerebral venous collapse in normal physiology and disease.
    • To develop an advanced fluid-structure interaction (FSI) model of the cerebral venous transverse sinus (TS).
    • To simulate TS vascular collapse under increased intracranial pressure.

    Main Methods:

    • Developed a coupled fluid-structure interaction (FSI) model of the cerebral venous transverse sinus (TS).
    • Integrated a lumped-parameter model for upstream cerebral circulation to provide boundary conditions.
    • Simulated venous hemodynamics, TS distention, and vascular collapse under elevated intracranial pressure.

    Main Results:

    • Baseline simulations accurately reproduced reported cerebral venous pressures and flows.
    • Simulations under increased intracranial pressure demonstrated reduced venous flow and progressive TS collapse.
    • The model captured the dynamic behavior of vascular collapse.

    Conclusions:

    • The FSI model provides a valuable tool for studying cerebral venous system biomechanics.
    • Simulations support the hypothesis that increased intracranial pressure leads to TS collapse.
    • Findings may elucidate interactions between cerebrovascular and cerebrospinal fluid spaces in health and disease.