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Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
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Recruitment Pattern in a Complete Cerebral Arterial Circle.

Christine L de Lancea, Tim David, Jordi Alastruey

    Journal of Biomechanical Engineering
    |August 28, 2015
    PubMed
    Summary

    This study modeled blood flow in the brain's arterial circle, finding that middle cerebral arteries significantly impact collateral blood flow. Adjusting resistance in these arteries affects overall brain blood supply.

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    Area of Science:

    • Biomedical Engineering
    • Computational Fluid Dynamics
    • Neurovascular Physiology

    Background:

    • Blood flow regulation is crucial for brain function, influenced by vessel compliance and dynamic resistance changes.
    • The cerebral arterial circle (CAC) is key for distributing blood flow to various brain regions.
    • Understanding collateral circulation is vital for managing cerebrovascular health.

    Purpose of the Study:

    • To investigate the collateral capacity of the cerebral arterial circle (CAC).
    • To analyze how changes in efferent artery resistance affect blood flow distribution.
    • To determine the impact of unilateral and bilateral resistance changes on collateral patterns.

    Main Methods:

    • Utilized a series of 1D equations to model blood flow and pressure waves from the heart to the CAC.
    • Simulated decreases in peripheral resistance in efferent arteries (unilaterally and bilaterally).
    • Conducted same flow tests (SFTs) and maximum flow tests (MFTs) to analyze collateral responses.

    Main Results:

    • Collateral patterns varied based on the stimulated efferent artery and laterality (unilateral/bilateral).
    • Simulations revealed that flow increases beyond 10% resistance reduction are possible within physiological limits.
    • Middle cerebral arteries (MCAs) demonstrated the most significant influence on collateral capability.

    Conclusions:

    • The collateral capacity of the CAC is significantly modulated by resistance changes in its constituent arteries, particularly the MCAs.
    • The study provides insights into the brain's ability to reroute blood flow under varying physiological conditions.
    • Computational modeling is a valuable tool for understanding complex neurovascular dynamics.